diff --git a/.gitignore b/.gitignore index c5ff3fb98f..3c55ec0d78 100644 --- a/.gitignore +++ b/.gitignore @@ -32,6 +32,9 @@ coverage # docker dev config /dev/docker-compose.yml +# ESLint +.eslintcache + # misskey built db diff --git a/.vscode/extensions.json b/.vscode/extensions.json index 8c5cc5ba15..ac8124f48a 100644 --- a/.vscode/extensions.json +++ b/.vscode/extensions.json @@ -1,10 +1,18 @@ { "recommendations": [ "editorconfig.editorconfig", - "rome.rome", - "Vue.volar", - "Vue.vscode-typescript-vue-plugin", + "vue.volar", + "vue.vscode-typescript-vue-plugin", "arcanis.vscode-zipfs", - "Orta.vscode-twoslash-queries" + "orta.vscode-twoslash-queries", + "antfu.iconify", + "vivaxy.vscode-conventional-commits", + "ms-azuretools.vscode-docker", + "gitlab.gitlab-workflow", + "mrmlnc.vscode-json5", + "esbenp.prettier-vscode", + "redhat.vscode-yaml", + "yoavbls.pretty-ts-errors", + "biomejs.biome" ] } diff --git a/README.md b/README.md index 63bc99aa96..42af4aa9e6 100644 --- a/README.md +++ b/README.md @@ -97,7 +97,7 @@ If you have access to a server that supports one of the sources below, I recomme - ๐Ÿข At least [NodeJS](https://nodejs.org/en/) v18.16.0 (v20 recommended) - ๐Ÿ˜ At least [PostgreSQL](https://www.postgresql.org/) v12 (v14 recommended) -- ๐Ÿฑ At least [Redis](https://redis.io/) v6 (v7 recommended) +- ๐Ÿฑ At least [Redis](https://redis.io/) v7 - Web Proxy (one of the following) - ๐Ÿ€ Nginx (recommended) - ๐Ÿฆฆ Caddy diff --git a/biome.json b/biome.json new file mode 100644 index 0000000000..2fa6846b64 --- /dev/null +++ b/biome.json @@ -0,0 +1,12 @@ +{ + "$schema": "https://biomejs.dev/schemas/1.0.0/schema.json", + "organizeImports": { + "enabled": true + }, + "linter": { + "enabled": true, + "rules": { + "recommended": true + } + } +} diff --git a/docker-compose.yml b/docker-compose.yml index c8674548ae..e407513004 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -61,6 +61,8 @@ services: # sonic: # restart: unless-stopped # image: docker.io/valeriansaliou/sonic:v1.4.0 +# logging: +# driver: none # networks: # - calcnet # volumes: diff --git a/locales/fr-FR.yml b/locales/fr-FR.yml index a4571a075f..098c97a409 100644 --- a/locales/fr-FR.yml +++ b/locales/fr-FR.yml @@ -71,7 +71,7 @@ driveFileDeleteConfirm: "รŠtes-vous sรปrยทe de vouloir supprimer le fichier \"{n \ ? Il sera retirรฉ de toutes les publications qui le contiennent comme piรจce-jointe." unfollowConfirm: "Dรฉsirez-vous vous dรฉsabonner de {name} ?" exportRequested: "Vous avez demandรฉ une exportation. Lโ€™opรฉration pourrait prendre - un peu de temps. Une terminรฉe, le fichier rรฉsultant sera ajoutรฉ au Drive." + un peu de temps. Une fois terminรฉe, le fichier rรฉsultant sera ajoutรฉ au Drive." importRequested: "Vous avez initiรฉ un import. Cela pourrait prendre un peu de temps." lists: "Listes" noLists: "Vous nโ€™avez aucune liste" diff --git a/locales/id-ID.yml b/locales/id-ID.yml index 39374c2084..2c9331319f 100644 --- a/locales/id-ID.yml +++ b/locales/id-ID.yml @@ -74,7 +74,7 @@ exportRequested: "Kamu telah meminta ekspor. Ini akan memakan waktu sesaat. Sete importRequested: "Kamu telah meminta impor. Ini akan memakan waktu sesaat." lists: "Daftar" noLists: "Kamu tidak memiliki daftar apapun" -note: "Postingan" +note: "Posting" notes: "Postingan" following: "Ikuti" followers: "Pengikut" @@ -1837,7 +1837,7 @@ _notification: followBack: "Ikuti Kembali" reply: "Balas" renote: "Posting ulang" - reacted: berekasi ke postinganmu + reacted: mereaksi postinganmu renoted: memposting ulang postinganmu voted: memilih di angketmu _deck: diff --git a/locales/it-IT.yml b/locales/it-IT.yml index cbea8b6dc0..5dde1cfa67 100644 --- a/locales/it-IT.yml +++ b/locales/it-IT.yml @@ -14,8 +14,8 @@ ok: "OK" gotIt: "Ho capito!" cancel: "Annulla" enterUsername: "Inserisci un nome utente" -renotedBy: "Rinotato da {user}" -noNotes: "Nessuna nota!" +renotedBy: "Boost da {user}" +noNotes: "Nessun post" noNotifications: "Nessuna notifica" instance: "Server" settings: "Impostazioni" @@ -35,18 +35,18 @@ users: "Utenti" addUser: "Aggiungi utente" favorite: "Aggiungi ai preferiti" favorites: "Preferiti" -unfavorite: "Rimuovi nota dai preferiti" -favorited: "Aggiunta ai tuoi preferiti." +unfavorite: "Rimuovi post dai preferiti" +favorited: "Aggiunto ai tuoi preferiti." alreadyFavorited: "Giร  tra i tuoi preferiti." -cantFavorite: "Impossibile aggiungere la nota ai preferiti." +cantFavorite: "Impossibile aggiungere il post ai preferiti." pin: "Fissa sul profilo" unpin: "Non fissare sul profilo" copyContent: "Copia il contenuto" copyLink: "Copia il link" delete: "Elimina" deleteAndEdit: "Elimina e modifica" -deleteAndEditConfirm: "Vuoi davvero cancellare questa nota e scriverla di nuovo? Verrano - eliminate anche tutte le reazioni, Rinote e risposte collegate." +deleteAndEditConfirm: "Vuoi davvero cancellare questo post e scriverlo di nuovo? Verrano + eliminate anche tutte le reazioni, boost e risposte collegate." addToList: "Aggiungi alla lista" sendMessage: "Invia messaggio" copyUsername: "Copia nome utente" @@ -60,7 +60,7 @@ receiveFollowRequest: "Hai ricevuto una richiesta di follow" followRequestAccepted: "Richiesta di follow accettata" mention: "Menzioni" mentions: "Menzioni" -directNotes: "Note dirette" +directNotes: "Messaggi diretti" importAndExport: "Importa ed esporta" import: "Importa" export: "Esporta" @@ -71,40 +71,40 @@ driveFileDeleteConfirm: "Vuoi davvero eliminare il file \"{name}\"? Sarร  rimoss unfollowConfirm: "Vuoi davvero smettere di seguire {name}?" exportRequested: "Hai richiesto un'esportazione, e potrebbe volerci tempo. Quando sarร  compiuta, il file verrร  aggiunto direttamente al Drive." -importRequested: "Hai richiesto un'importazione. Puรฒ volerci tempo. " +importRequested: "Hai richiesto un'importazione. Potrebbe impiegare del tempo." lists: "Liste" noLists: "Nessuna lista" -note: "Nota" -notes: "Note" -following: "Follows" -followers: "Followers" +note: "Post" +notes: "Post" +following: "Chi segui" +followers: "Chi ti segue" followsYou: "Ti segue" createList: "Aggiungi una nuova lista" manageLists: "Gestisci liste" error: "Errore" somethingHappened: "Si รจ verificato un problema" retry: "Riprova" -pageLoadError: "Caricamento pagina non riuscito. " -pageLoadErrorDescription: "Questo viene normalmente causato dalla rete o dalla cache - del browser. Si prega di pulire la cache, o di attendere e riprovare piรน tardi." -serverIsDead: "Il server non risponde. Si prega di attendere e riprovare piรน tardi." +pageLoadError: "Errore nel caricamento della pagina." +pageLoadErrorDescription: "Di solito succede per errori di rete o a causa della cache + del browser. Prova a pulire la cache o a riprovare piรน tardi." +serverIsDead: "Il server non risponde. Attendi e riprova piรน tardi." youShouldUpgradeClient: "Per visualizzare la pagina รจ necessario aggiornare il client alla nuova versione e ricaricare." enterListName: "Nome della lista" privacy: "Privacy" -makeFollowManuallyApprove: "Richiedi di approvare i follower manualmente" -defaultNoteVisibility: "Privacy predefinita delle note" +makeFollowManuallyApprove: "Approva manualmente le richieste di follow" +defaultNoteVisibility: "Privacy predefinita dei post" follow: "Segui" followRequest: "Richiesta di follow" followRequests: "Richieste di follow" unfollow: "Smetti di seguire" -followRequestPending: "La richiesta di follow deve essere approvata" +followRequestPending: "Richiesta di follow in approvazione" enterEmoji: "Inserisci emoji" -renote: "Rinota" -unrenote: "Annulla rinota" -renoted: "Rinotato!" -cantRenote: "รˆ impossibile rinotare questa nota." -cantReRenote: "รˆ impossibile rinotare una Rinota." +renote: "Boost" +unrenote: "Annulla boost" +renoted: "Boost effettuato." +cantRenote: "รˆ impossibile dare un boost a questo post." +cantReRenote: "รˆ impossibile dare un boost a un boost." quote: "Cita" pinnedNote: "Post fissato" pinned: "Fissa sul profilo" @@ -122,7 +122,7 @@ markAsSensitive: "Segna come sensibile" unmarkAsSensitive: "Segna come non sensibile" enterFileName: "Nome del file" mute: "Silenzia" -unmute: "Riattiva" +unmute: "Non silenziare" block: "Blocca" unblock: "Sblocca" suspend: "Sospendi" @@ -135,54 +135,53 @@ selectList: "Seleziona una lista" selectAntenna: "Scegli un'antenna" selectWidget: "Seleziona widget" editWidgets: "Modifica i widget" -editWidgetsExit: "Modifica fine" +editWidgetsExit: "Fine modifica" customEmojis: "Emoji personalizzati" emoji: "Emoji" emojis: "Emoji" emojiName: "Nome dell'emoji" emojiUrl: "URL dell'emoji" addEmoji: "Aggiungi un emoji" -settingGuide: "Configurazione suggerita" +settingGuide: "Impostazioni suggerite" cacheRemoteFiles: "Memorizzazione nella cache dei file remoti" cacheRemoteFilesDescription: "Disabilitando questa opzione, i file remoti verranno scaricati direttamente dal loro server. L'opzione permette di risparmiare spazio ma aumenta il traffico di rete e non verranno generate anteprime." -flagAsBot: "Io sono un robot" +flagAsBot: "Questo account รจ un bot" flagAsBotDescription: "Se l'account esegue principalmente operazioni automatiche, attiva quest'opzione. Quando attivata, opera come un segnalatore per gli altri sviluppatori allo scopo di prevenire catene dโ€™interazione senza fine con altri bot, e di adeguare i sistemi interni di Firefish perchรฉ trattino questo account come un bot." -flagAsCat: "Io sono un gatto" -flagAsCatDescription: "Abilita l'opzione \"Io sono un gatto\" per l'account." -autoAcceptFollowed: "Accetta automaticamente le richieste di follow da utenti che - giร  segui" +flagAsCat: "Sei un gatto? ๐Ÿ˜บ" +flagAsCatDescription: "Ti compariranno le orecchie e parlerai come un gatto!" +autoAcceptFollowed: "Accetta in automatico i follow dagli account che segui" addAccount: "Aggiungi account" loginFailed: "Accesso non riuscito" -showOnRemote: "Leggi sul sito origine" +showOnRemote: "Apri la pagina di origine" general: "Generali" wallpaper: "Sfondo" setWallpaper: "Imposta sfondo" removeWallpaper: "Elimina lo sfondo" searchWith: "Cerca: {q}" youHaveNoLists: "Non hai ancora creato nessuna lista" -followConfirm: "Sei sicur@ di voler seguire {name}?" +followConfirm: "Confermi di voler seguire {name}?" proxyAccount: "Account proxy" proxyAccountDescription: "Un account proxy รจ un account che funziona da follower remoto sotto certe condizioni. Ad esempio, quando un utente aggiunge un utente remoto a una lista, le attivitร  di quell'utente potrebbero comunque non essere visualizzate in locale se nessun altro utente lo segue su questo server, l'account proxy si occuperร  di seguire e acquisire i post." -host: "Server remoto" +host: "Host" selectUser: "Seleziona utente" -recipient: "Destinatario" -annotation: "Descrizione" +recipient: "Destinatario(i)" +annotation: "Annotazioni" federation: "Federazione" instances: "Server" registeredAt: "Registrato presso" latestRequestSentAt: "Ultima richiesta inviata" latestRequestReceivedAt: "Ultima richiesta ricevuta" latestStatus: "Ultimo stato" -storageUsage: "Volume di dischi" +storageUsage: "Spazio occupato" charts: "Grafici" perHour: "All'ora" perDay: "al giorno" @@ -191,9 +190,9 @@ blockThisInstance: "Blocca questo server" operations: "Operazioni" software: "Software" version: "Versione" -metadata: "Metadato" -monitor: "Monitorare" -jobQueue: "Coda di lavoro" +metadata: "Metadati" +monitor: "Monitor" +jobQueue: "Coda dei job" cpuAndMemory: "CPU e Memoria" network: "Rete" disk: "Disco" @@ -204,7 +203,7 @@ clearQueueConfirmTitle: "Vuoi davvero svuotare la coda?" clearQueueConfirmText: "I post ancora in coda non verranno piรน federati. Solitamente, non รจ necessario eseguire questa operazione." clearCachedFiles: "Svuota cache" -clearCachedFilesConfirm: "Vuoi davvero svuotare la cache da tutti i file remoti?" +clearCachedFilesConfirm: "Vuoi davvero svuotare la cache di tutti i file remoti?" blockedInstances: "Server bloccati" blockedInstancesDescription: "Elenca gli hostname dei server che vuoi bloccare. Non potranno piรน comunicare con il tuo server." @@ -214,7 +213,7 @@ blockedUsers: "Account bloccati" noUsers: "Nessun utente trovato" editProfile: "Modifica profilo" noteDeleteConfirm: "Vuoi eliminare questo post?" -pinLimitExceeded: "Non puoi fissare altre note " +pinLimitExceeded: "Hai giร  fissato il massimo possibile di post" intro: "L'installazione di Firefish รจ finita! Si prega di creare un account amministratore." done: "Fine" processing: "Elaborazione in corso" @@ -222,15 +221,15 @@ preview: "Anteprima" default: "Predefinito" noCustomEmojis: "Nessun emoji" noJobs: "Nessun lavoro" -federating: "Federando" +federating: "Federazione in corso" blocked: "Bloccato" -suspended: "Sospes@" +suspended: "Sospeso" all: "Tutti" -subscribing: "Iscrivendo" -publishing: "Pubblicando" +subscribing: "Sottoscrizione in corso" +publishing: "Pubblicazione in corso" notResponding: "Nessuna risposta" -instanceFollowing: "Seguiti su questo server" -instanceFollowers: "Follower del server" +instanceFollowing: "Seguiti da te su questo server" +instanceFollowers: "Chi ti segue su questo server" instanceUsers: "Utenti del server" changePassword: "Aggiorna Password" security: "Sicurezza" @@ -239,8 +238,8 @@ currentPassword: "Password attuale" newPassword: "Nuova Password" newPasswordRetype: "Conferma password" attachFile: "Allega file" -more: "Altri!" -featured: "Tendenze" +more: "Altro!" +featured: "In primo piano" usernameOrUserId: "Nome utente o ID utente" noSuchUser: "Nessun utente trovato" lookup: "Cercare" @@ -250,7 +249,7 @@ remove: "Elimina" removed: "Il tuo Tweet รจ stato eliminato" removeAreYouSure: "Eliminare \"{x}\"?" deleteAreYouSure: "Eliminare \"{x}\"?" -resetAreYouSure: "Reimposta" +resetAreYouSure: "Vuoi reimpostare?" saved: "Salvato" messaging: "Messaggi" upload: "Carica" @@ -266,8 +265,8 @@ noMoreHistory: "Non c'รจ piรน cronologia da visualizzare" startMessaging: "Nuovo messaggio" nUsersRead: "Letto da {n} persone" agreeTo: "Sono d'accordo con {0}" -tos: "Termini di servizio" -start: "Inizia!" +tos: "Termini d'uso" +start: "Inizia" home: "Home" remoteUserCaution: "Puรฒ darsi che le informazioni siano incomplete perchรฉ questo รจ un utente remoto." @@ -275,7 +274,7 @@ activity: "Attivitร " images: "Immagini" birthday: "Compleanno" yearsOld: "{age}Anni" -registeredDate: "Iscrizione a.." +registeredDate: "Iscrizione il" location: "Posizione" theme: "Tema" themeForLightMode: "Tema da utilizzare per il modo chiaro" @@ -286,7 +285,7 @@ lightThemes: "Tema Chiaro" darkThemes: "Tema Scuro" syncDeviceDarkMode: "Sincronizza il tema scuro con le impostazioni del dispositivo" drive: "Drive" -fileName: "Nome dell'allegato" +fileName: "Nome file" selectFile: "Scelta allegato" selectFiles: "Scelta allegato" selectFolder: "Seleziona cartella" @@ -299,25 +298,25 @@ deleteFolder: "Elimina cartella" addFile: "Allega" emptyDrive: "Il Drive รจ vuoto" emptyFolder: "La cartella รจ vuota" -unableToDelete: "Eliminazione impossibile" +unableToDelete: "Impossibile rimuovere" inputNewFileName: "Inserisci nome del nuovo file" inputNewDescription: "Inserisci una nuova descrizione" inputNewFolderName: "Inserisci nome della nuova cartella" circularReferenceFolder: "La cartella di destinazione รจ una sottocartella della cartella che vuoi spostare." -hasChildFilesOrFolders: "Impossibile eliminare la cartella perchรฉ non รจ vuota" +hasChildFilesOrFolders: "La cartella non puรฒ essere rimossa perchรฉ non รจ vuota." copyUrl: "Copia URL" rename: "Modifica nome" avatar: "Foto del profilo" banner: "Intestazione" nsfw: "Contenuti sensibili" whenServerDisconnected: "Quando la connessione col server รจ persa" -disconnectedFromServer: "Disconness@ dal server" +disconnectedFromServer: "Server disconnesso" reload: "Ricarica" doNothing: "Nessun'azione" reloadConfirm: "Vuoi ricaricare?" watch: "Osserva" -unwatch: "Smetti di Osserva" +unwatch: "Smetti di osservare" accept: "Accetta" reject: "Rifiuta" normal: "Normale" @@ -325,7 +324,7 @@ instanceName: "Nome del server" instanceDescription: "Descrizione del server" maintainerName: "Nome dell'Amministratore" maintainerEmail: "Indirizzo e-mail dell'Amministratore" -tosUrl: "Termini di servizio URL" +tosUrl: "URL Termini d'uso" thisYear: "Anno" thisMonth: "Mese" today: "Oggi" @@ -334,8 +333,8 @@ monthX: "{month}" yearX: "{year}" pages: "Pagine" integration: "Integrazioni" -connectService: "Connessione" -disconnectService: "Disconnessione " +connectService: "Connetti" +disconnectService: "Disconnetti" enableLocalTimeline: "Abilita Timeline locale" enableGlobalTimeline: "Abilita Timeline federata" disablingTimelinesInfo: "Anche se disabiliti queste timeline, gli amministratori e @@ -343,16 +342,16 @@ disablingTimelinesInfo: "Anche se disabiliti queste timeline, gli amministratori registration: "Iscriviti" enableRegistration: "Permettere nuove registrazioni" invite: "Invita" -driveCapacityPerLocalAccount: "Volume del Drive per utente locale" -driveCapacityPerRemoteAccount: "Volume del Drive per utente remoto" -inMb: "in Megabytes" -iconUrl: "URL di icona (favicon, ecc.)" -bannerUrl: "URL dell'immagine d'intestazione" +driveCapacityPerLocalAccount: "Dimensione Drive per utenti locali" +driveCapacityPerRemoteAccount: "Dimensione Drive per utenti remoti" +inMb: "In megabytes" +iconUrl: "URL icona" +bannerUrl: "URL dell'immagine banner" backgroundImageUrl: "URL dello sfondo" -basicInfo: "Informazioni fondamentali" -pinnedUsers: "Utenti in evidenza" -pinnedUsersDescription: "Elenca gli/le utenti che vuoi fissare in cima alla pagina - \"Esplora\", un@ per riga." +basicInfo: "Informazioni di base" +pinnedUsers: "Utenti in fissati" +pinnedUsersDescription: "Elenca gli utenti che vuoi fissare in cima alla pagina \"\ + Esplora\", uno per riga." pinnedPages: "Pagine in evidenza" pinnedPagesDescription: "Specifica il percorso delle pagine che vuoi fissare in cima alla home page del server. Una pagina per riga." @@ -372,20 +371,20 @@ avoidMultiCaptchaConfirm: "Utilizzare diversi Captcha puรฒ causare interferenze. antennas: "Antenne" manageAntennas: "Gestore delle antenne" name: "Nome" -antennaSource: "Fonte dell'antenna" +antennaSource: "Origine dell'antenna" antennaKeywords: "Parole chiavi da ricevere" antennaExcludeKeywords: "Parole chiavi da escludere" -antennaKeywordsDescription: "Separare con uno spazio indica la condizione \"E\". Separare - con un'interruzzione riga indica la condizione \"O\"." +antennaKeywordsDescription: "Separare con uno spazio indica la condizione \"AND\" + . Separare con un'interruzione riga indica la condizione \"OR\"." notifyAntenna: "Notifica i nuovi post" -withFileAntenna: "Solo post con file allegati" +withFileAntenna: "Solo post con allegati" enableServiceworker: "Abilita ServiceWorker" antennaUsersDescription: "Inserisci solo un nome utente per riga" caseSensitive: "Sensibile alla distinzione tra maiuscole e minuscole" withReplies: "Includere le risposte" -connectedTo: "Sei conness@ agli account qui sotto:" +connectedTo: "Stai seguendo questi account" notesAndReplies: "Post e risposte" -withFiles: "Con file in allegato" +withFiles: "Con file allegati" silence: "Silenzia" silenceConfirm: "Vuoi davvero silenziare l'utente?" unsilence: "Riattiva" @@ -420,7 +419,7 @@ notFoundDescription: "Nessuna pagina corrisponde all'URL indicata." uploadFolder: "Destinazione caricamento predefinita" cacheClear: "Svuota cache" markAsReadAllNotifications: "Segna tutte le notifiche come lette" -markAsReadAllUnreadNotes: "Segna tutti post come letti" +markAsReadAllUnreadNotes: "Segna tutti i post come letti" markAsReadAllTalkMessages: "Segna tutte le chat come lette" help: "Guida" inputMessageHere: "Scrivi messaggio qui" @@ -434,7 +433,7 @@ invites: "Inviti" groupName: "Nome del gruppo" members: "Membri" transfer: "Trasferisci" -messagingWithUser: "Iniziare una chat con un altr@ utente" +messagingWithUser: "Chat privata" messagingWithGroup: "Chattare in gruppo" title: "Titolo" text: "Testo" @@ -453,8 +452,8 @@ invitations: "Invita" invitationCode: "Codice di invito" checking: "Confermando" available: "Consigliati" -unavailable: "Il nome utente รจ giร  in uso" -usernameInvalidFormat: "Il nome utente puรฒ contenere solo lettere, numeri e '_'" +unavailable: "Nome giร  in uso" +usernameInvalidFormat: "Puoi usare solo lettere maiuscole, minuscole, numeri e '_'" tooShort: "Troppo breve" tooLong: "Troppo lungo" weakPassword: "Password debole" @@ -485,7 +484,7 @@ createAccount: "Crea il tuo account" existingAccount: "Account esistente" regenerate: "Generare di nuovo" fontSize: "Dimensione carattere" -noFollowRequests: "Non hai alcuna richiesta di follow" +noFollowRequests: "Non ci sono richieste di follow" openImageInNewTab: "Aprire immagini in una nuova scheda" dashboard: "Pannello di controllo" local: "Locale" @@ -500,7 +499,7 @@ promotion: "Promossa" promote: "Pubblicizza" numberOfDays: "Numero di giorni" hideThisNote: "Nascondi questo post" -showFeaturedNotesInTimeline: "Mostra i post suggeriti nella tua timeline" +showFeaturedNotesInTimeline: "Mostra anche i post in primo piano nella tua timeline" objectStorage: "Stoccaggio oggetti" useObjectStorage: "Utilizza stoccaggio oggetti" objectStorageBaseUrl: "Base URL" @@ -557,14 +556,14 @@ scratchpadDescription: "Lo Scratchpad offre un ambiente per esperimenti di AiScr output: "Uscita" script: "Script" disablePagesScript: "Disabilita AiScript nelle pagine" -updateRemoteUser: "Aggiornare le informazioni di utente remot@" +updateRemoteUser: "Aggiorna le informazioni dell'utente remoto" deleteAllFiles: "Elimina tutti i file" deleteAllFilesConfirm: "Vuoi davvero eliminare tutti i file?" -removeAllFollowing: "Cancella tutti i follows" -removeAllFollowingDescription: "Cancella tutti i follow verso il server {host}. รˆ - utile soprattutto se per esempio il server non esiste piรน." -userSuspended: "L'utente รจ sospes@." -userSilenced: "L'utente รจ silenziat@." +removeAllFollowing: "Smetti di seguire tutti" +removeAllFollowingDescription: "Smetti di seguire tutti gli account del server {host}. + รˆ utile specialmente se il server non esiste piรน." +userSuspended: "L'utente รจ sospeso." +userSilenced: "L'utente รจ silenziato." yourAccountSuspendedTitle: "Questo account รจ sospeso." yourAccountSuspendedDescription: "Questo account รจ stato sospeso a causa di una violazione dei termini di servizio del server. Contattare l'amministrazione per i dettagli. @@ -671,7 +670,7 @@ openInSideView: "Apri in vista laterale" defaultNavigationBehaviour: "Navigazione preimpostata" editTheseSettingsMayBreakAccount: "Modificare queste impostazioni puรฒ danneggiare l'account." -instanceTicker: "Informazioni del server sui post" +instanceTicker: "Informazioni del server dei post" waitingFor: "Aspettando {x}" random: "Casuale" system: "Sistema" @@ -686,11 +685,11 @@ i18nInfo: "Firefish รจ tradotto in diverse lingue da volontari. Anche tu puoi co su {link}." manageAccessTokens: "Gestisci token di accesso" accountInfo: "Informazioni account" -notesCount: "Conteggio note" +notesCount: "Numero di post" repliesCount: "Numero di risposte inviate" -renotesCount: "Numero di note che hai ricondiviso" +renotesCount: "Numero di boost dati" repliedCount: "Numero di risposte ricevute" -renotedCount: "Numero delle tue note ricondivise" +renotedCount: "Numero dei boost ricevuti" followingCount: "Numero di account seguiti" followersCount: "Numero di account che ti seguono" sentReactionsCount: "Numero di reazioni inviate" @@ -704,17 +703,16 @@ driveUsage: "Utilizzazione del Drive" noCrawle: "Rifiuta l'indicizzazione dai robot." noCrawleDescription: "Richiedi ai motori di ricerca di non indicizzare la tua pagina del profilo, i tuoi post, pagine, ecc." -lockedAccountInfo: "A meno che non imposti la visibilitร  delle tue note su \"Solo - ai follower\", le tue note sono visibili da tutti, anche se hai configurato l'account - per confermare manualmente le richieste di follow." +lockedAccountInfo: "Se non imposti la visibilitร  a \"Solo chi ti segue\", i singoli + post saranno visibili a tutti, anche se per seguirti รจ necessaria la tua approvazione." alwaysMarkSensitive: "Segnare i media come sensibili per impostazione predefinita" loadRawImages: "Visualizza le intere immagini allegate invece delle miniature." disableShowingAnimatedImages: "Disabilita le immagini animate" -verificationEmailSent: "Una mail di verifica รจ stata inviata. Si prega di accedere - al collegamento per compiere la verifica." +verificationEmailSent: "Una mail di verifica รจ stata inviata. Clicca sul link per + completare la verifica." notSet: "Non impostato" emailVerified: "Il tuo indirizzo email รจ stato verificato" -noteFavoritesCount: "Conteggio note tra i preferiti" +noteFavoritesCount: "Numero di post preferiti" pageLikesCount: "Numero di pagine che ti piacciono" pageLikedCount: "Numero delle tue pagine che hanno ricevuto \"Mi piace\"" contact: "Contatti" @@ -725,7 +723,7 @@ developer: "Sviluppatore" makeExplorable: "Account visibile sulla pagina \"Esplora\"" makeExplorableDescription: "Se disabiliti l'opzione, il tuo account non verrร  visualizzato sulla pagina \"Esplora\"." -showGapBetweenNotesInTimeline: "Mostrare un intervallo tra le note sulla timeline" +showGapBetweenNotesInTimeline: "Mostra uno spazio tra i post sulla timeline" duplicate: "Duplica" left: "Sinistra" center: "Centro" @@ -737,7 +735,7 @@ showTitlebar: "Visualizza la barra del titolo" clearCache: "Svuota cache" onlineUsersCount: "{n} utenti online" nUsers: "{n} utenti" -nNotes: "{n} Post" +nNotes: "{n} post" sendErrorReports: "Invia segnalazioni di errori" sendErrorReportsDescription: "Quando abilitato, se si verifica un problema, informazioni dettagliate sugli errori verranno condivise con Firefish in modo da aiutare a migliorare @@ -845,7 +843,7 @@ aiChanMode: "Modalitร  Ai" keepCw: "Mantieni il CW" resolved: "Risolto" unresolved: "Non risolto" -breakFollow: "Smetti di seguire" +breakFollow: "Rimuovi follower" itsOn: "Abilitato" itsOff: "Disabilitato" emailRequiredForSignup: "รˆ necessario un indirizzo mail per registrare un account" @@ -886,11 +884,13 @@ _emailUnavailable: smtp: "Il server email non risponde" _ffVisibility: public: "Pubblico" - followers: "Mostra solo ai follower" + followers: "Mostra solo a chi ti segue" private: "Invisibile" _signup: almostThere: "Quasi completo" emailAddressInfo: "Inserisci il tuo indirizzo email. Non verrร  reso pubblico." + emailSent: Un messaggio di conferma รจ stato inviato al tuo indirizzo email ({email}). + Clicca il link incluso per completare la creazione dell'account. _accountDelete: accountDelete: "Cancellazione account" sendEmail: "Al termine della cancellazione dell'account, verrร  inviata una mail @@ -898,17 +898,18 @@ _accountDelete: requestAccountDelete: "Richiesta di cancellazione account" started: "Il processo di cancellazione รจ iniziato." inProgress: "Cancellazione in corso" + mayTakeTime: L'eliminazione di un account impiega molte risorse di sistema, potrebbe + durare molto tempo a seconda di quanti contenuti hai creato e quanti file hai + caricato. _ad: back: "Indietro" reduceFrequencyOfThisAd: "Visualizza questa pubblicitร  meno spesso" _forgotPassword: enterEmail: "Inserisci l'indirizzo di posta elettronica che hai registrato nel tuo - profilo. Il collegamento necessario per ripristinare la password verrร  inviato - a questo indirizzo." - ifNoEmail: "Se nessun indirizzo e-mail รจ stato registrato, si prega di contattare - l'amministratoreยทtrice dell'istanza." - contactAdmin: "Poichรฉ questa istanza non permette l'utilizzo di una mail, si prega - di contattare l'amministratoreยทtrice dell'istanza per poter ripristinare la password." + profilo. Il di link ripristino della password verrร  inviato a questo indirizzo." + ifNoEmail: "Se non hai registrato alcun indirizzo e-mail, contatta l'admin del server." + contactAdmin: "Poichรฉ questo server non permette l'uso di indirizzi mail, contatta + l'admin per poter ripristinare la password." _gallery: my: "Le mie pubblicazioni" liked: "Pubblicazioni che mi piacciono" @@ -929,6 +930,7 @@ _registry: keys: "Dati" domain: "Dominio" createKey: "Crea chiave" + scope: Ambito _aboutFirefish: about: "Misskey รจ un software libero e open source, sviluppato da syuilo dal 2014." contributors: "Principali sostenitori" @@ -939,6 +941,15 @@ _aboutFirefish: morePatrons: "Apprezziamo sinceramente il supporto di tante altre persone. Grazie mille! ๐Ÿฅฐ" patrons: "Sostenitori" + sponsors: Sponsor di Firefish + misskeyContributors: Contributori di Misskey + donateTitle: Ti piace Firefish? + pleaseDonateToFirefish: Con una donazione puoi supportare lo sviluppo di Firefish. + pleaseDonateToHost: Considera anche una donazione al server che ti ospita, {host}, + per contribuire ai costi che sostiene. + donateHost: Dona a {host} + patronsList: Elencati in ordine cronologico, non per importo. Dona con il link sopra + per apparire in questa lista! _nsfw: respect: "Nascondere i media segnati come sensibli" ignore: "Visualizzare i media segnati come sensibili" @@ -958,7 +969,7 @@ _mfm: blockCode: "Codice (blocco)" inlineMath: "Espressione matematica(Immersione)" blockMath: "Formula matematica (blocco)" - quote: "Cita il nota" + quote: "Citazione" emoji: "Emoji personalizzati" search: "Cerca" flip: "Inverti" @@ -977,14 +988,63 @@ _mfm: x4: "Estremamente piรน grande" x4Description: "Mostra il contenuto estremamente piรน ingrandito." blur: "Sfocatura" - blurDescription: "รˆ possibile rendere sfocato il contenuto. Spostando il cursore - su di esso tornerร  visibile chiaramente." + blurDescription: "รˆ possibile rendere sfocato il contenuto. Diventerร  visibile al + passaggio del puntatore." font: "Tipo di carattere" fontDescription: "Puoi scegliere il tipo di carattere per il contenuto." rainbow: "Arcobaleno" rotate: "Ruota" fade: "Dissolvenza" fadeDescription: "Dissolvenza in entrata e in uscita del contenuto." + alwaysPlay: Riproduci automaticamente tutti i MFM + advanced: MFM avanzati + hashtagDescription: Puoi specificare un hashtag usando numeri e testo. + smallDescription: Mostra il contenuto piccolo e sottile. + centerDescription: Mostra il contenuto centrato. + inlineCodeDescription: Mostra il codice di programmazione all'interno di una riga + di testo evidenziando la sintassi. + blockMathDescription: Mostra le formule matematiche (KaTeX) in una riga dedicata + advancedDescription: Se disabilitato, permette solo comandi semplici MFM, a meno + che non sia in corso una animazione + tadaDescription: Mostra il contenuto con l'animazione "tadร ". + spin: Animazione (ruotazione) + sparkleDescription: Mostra il contenuto con l'effetto scintille. + scale: Ridimensiona + rotateDescription: Ruota il contenuto di un angolo specificato. + boldDescription: Evidenzia le lettere usando il grassetto. + small: Piccolo + inlineCode: Codice (inline) + position: Posizione + cropDescription: Ritaglia il contenuto. + foreground: Colore in primo piano + backgroundDescription: Cambia il colore di sfondo del testo. + flipDescription: Ribalta il contenuto orizzontalmente o verticalmente. + play: Riproduci MFM + stop: Stop MFM + warn: MFM puรฒ avere animazioni veloci o lampeggianti + quoteDescription: Mostra il contenuto come citazione. + emojiDescription: Puoi mostrare un emoji personalizzato racchiudendo il nome tra + due ":" + jelly: Animazione (gelatina) + foregroundDescription: Cambia il colore del testo in primo piano. + background: Colore di sfondo + blockCodeDescription: Mostra il codice di programmazione in un blocco di piรน righe + evidenziando la sintassi. + urlDescription: Gli URL possono essere mostrati. + tada: Animazione (tadร ) + jellyDescription: Mostra il contenuto con l'animazione gelatina. + positionDescription: Sposta il contenuto di quanto specificato. + crop: Ritaglia + scaleDescription: Ridimensiona il contenuto di quanto specificato. + inlineMathDescription: Mostra le formule matematiche (KaTeX) all'interno del testo + spinDescription: Mostra il contenuto con l'animazione ruotazione. + plainDescription: Disattiva altri effetti MFM contenuti dentro questo effetto MFM. + plain: Senza effetti + searchDescription: Mostra un box di ricerca con testo giร  inserito. + linkDescription: Alcune parti del testo sono mostrate come URL. + center: Centrato + rainbowDescription: Mostra il contenuto coi colori arcobaleno. + sparkle: Scintillante _instanceTicker: none: "Nascondi" remote: "Mostra solo per gli/le utenti remotษ™" @@ -993,6 +1053,7 @@ _serverDisconnectedBehavior: reload: "Ricarica automaticamente" dialog: "Apri avviso in finestra" quiet: "Visualizza avviso in modo discreto" + nothing: Non fare nulla _channel: create: "Nuovo canale" edit: "Gerisci canale" @@ -1000,25 +1061,30 @@ _channel: removeBanner: "Rimuovi intestazione" featured: "Tendenze" owned: "I miei canali" - following: "Seguiti" + following: "Chi segui" usersCount: "{n} partecipanti" - notesCount: "{n} note" + notesCount: "{n} post" + nameAndDescription: Nome e descrizione + nameOnly: Solo nome _menuDisplay: hide: "Nascondere" + top: In alto + sideFull: Laterale + sideIcon: Laterale (icone) _wordMute: muteWords: "Parole da filtrare" muteWordsDescription: "Separare con uno spazio indica la condizione \"E\". Separare con un'interruzzione riga indica la condizione \"O\"." muteWordsDescription2: "Metti le parole chiavi tra slash per usare espressioni regolari (regexp)." - softDescription: "Nascondi della timeline note che rispondono alle condizioni impostate - qui." - hardDescription: "Impedisci alla timeline di caricare le note che rispondono alle - condizioni impostate qui. Inoltre, le note scompariranno in modo irreversibile, - anche se le condizioni verranno successivamente rimosse." + softDescription: "Nascondi dalla timeline i post che rispondono alle condizioni + specificate." + hardDescription: "Impedisci alla timeline di caricare i post che rispondono alle + condizioni specificate. I post spariranno in modo irreversibile, anche se le condizioni + verranno cambiate successivamente." soft: "Moderato" hard: "Severo" - mutedNotes: "Note silenziate" + mutedNotes: "Post silenziati" _theme: explore: "Esplora temi" install: "Installa un tema" @@ -1036,7 +1102,7 @@ _theme: constant: "Costante" defaultValue: "Valore predefinito" color: "Colore" - refConst: "Chiama costante" + refConst: "Valore di una costante" key: "Chiave" func: "Funzione" funcKind: "Tipo di funzione" @@ -1056,14 +1122,14 @@ _theme: header: "Intestazione" navBg: "Sfondo della barra laterale" navFg: "Testo della barra laterale" - navHoverFg: "Testo della barra laterale (al passaggio del mouse)" + navHoverFg: "Testo della barra laterale (hover)" navActive: "Testo della barra laterale (attivo)" navIndicator: "Indicatore di barra laterale" link: "Link" hashtag: "Hashtag" mention: "Menzioni" mentionMe: "Menzioni (di me)" - renote: "Rinota" + renote: "Boost" divider: "Interruzione di linea" infoBg: "Sfondo informazioni" infoFg: "Testo di informazioni" @@ -1071,19 +1137,32 @@ _theme: infoWarnFg: "Testo di avviso" cwBg: "Sfondo del CW" cwFg: "Testo del pulsante CW" - cwHoverBg: "Sfondo del pulsante CW (sorvolato)" + cwHoverBg: "Sfondo del pulsante CW (hover)" toastBg: "Sfondo di notifica a comparsa" toastFg: "Testo di notifica a comparsa" buttonBg: "Sfondo del pulsante" - buttonHoverBg: "Sfondo del pulsante (sorvolato)" + buttonHoverBg: "Sfondo del pulsante (hover)" inputBorder: "Inquadra casella di testo" - listItemHoverBg: "Sfondo della voce di elenco (sorvolato)" + listItemHoverBg: "Sfondo della voce di elenco (hover)" driveFolderBg: "Sfondo della cartella di disco" badge: "Distintivo" messageBg: "Sfondo della chat" + modalBg: Sfondo modale + scrollbarHandle: Barra di scorrimento + scrollbarHandleHover: Barra di scorrimento (hover) + accent: Accento + fgHighlighted: Testo evidenziato + accentLighten: Accento (chiaro) + dateLabelFg: Testo data + accentDarken: Accento (scuro) + wallpaperOverlay: Trasparenza rispetto allo sfondo + importInfo: Se inserisci qui il codice di un tema, potrai importarlo nell'editor + del tema + refProp: Valore di una proprietร  + basedProp: Nome proprietร  _sfx: - note: "Nota" - noteMy: "Mia nota" + note: "Nuovo post" + noteMy: "Proprio post" notification: "Notifiche" chat: "Messaggi" chatBg: "Chat (sfondo)" @@ -1095,7 +1174,7 @@ _ago: secondsAgo: "{n}s fa" minutesAgo: "{n}min fa" hoursAgo: "{n}h fa" - daysAgo: "{1} giorni fa" + daysAgo: "{n} giorni fa" weeksAgo: "{n} settimane fa" monthsAgo: "{n} mesi fa" yearsAgo: "{n} anni fa" @@ -1109,35 +1188,67 @@ _tutorial: step1_1: "Benvenuto!" step1_2: "Vediamo di configurarla. Sarete operativi in men che non si dica!" step2_1: "Per prima cosa, compila il tuo profilo" - step2_2: "Fornendo alcune informazioni su chi siete, sarร  piรน facile per gli altri - capire se vogliono vedere le vostre note o seguirvi" - step3_1: "Ora รจ il momento di seguire alcune persone!" - step3_2: "La vostra home e le vostre timeline social si basano su chi seguite, quindi - provate a seguire un paio di account per iniziare.\nCliccate sul cerchio piรน in - alto a destra di un profilo per seguirlo" + step2_2: "Fornendo alcune informazioni su chi sei, sarร  piรน facile per gli altri + capire se vogliono vedere i tuoi post o seguirti." + step3_1: "Ora รจ il momento di seguire qualcuno!" + step3_2: "Le tue timeline Home e Social si basano su chi segui, quindi prova a seguire + un paio di account per iniziare.\nClicca sul cerchio in alto a destra di un profilo + per seguirlo." step4_1: "Fatevi conoscere" - step4_2: "Per il vostro primo post, alcuni preferiscono fare un post di {introduction} + step4_2: "Per il primo post, alcuni preferiscono fare un post di {introduction} o un semplice \"Ciao mondo!\"" step5_1: "Linee temporali, linee temporali dappertutto!" - step5_2: "La tua istanza ha attivato {timelines} diverse timelines" - step5_3: "La timeline Home {icon} รจ quella in cui si possono vedere i post dei propri - follower" - step5_4: "La timeline Locale {icon} รจ quella in cui si possono vedere i post di - tutti gli altri utenti di questa istanza" - step5_5: "La timeline Raccomandati {icon} รจ quella in cui si possono vedere i post - delle istanze raccomandate dagli amministratori" - step5_6: "La timeline Social {icon} รจ quella in cui si possono vedere i post degli - amici dei propri follower" + step5_2: "La tua istanza ha attivato {timelines} diverse timeline." + step5_3: "La timeline Home {icon} รจ quella dove puoi vedere i post degli account + che segui." + step5_4: "La timeline Locale {icon} รจ dove si possono vedere i post di tutti gli + altri utenti di questo server." + step5_5: "La timeline Social {icon} รจ una combinazione delle timeline Home e Locale." + step5_6: "La timeline Suggeriti {icon} รจ quella in cui si possono vedere i post + dai server suggeriti dagli admin." step5_7: "La timeline Globale {icon} รจ quella in cui si possono vedere i post di - ogni altra istanza collegata" + ogni altro server collegato." step6_1: "Allora, cos'รจ questo posto?" step6_2: "Beh, non ti sei semplicemente unito a Firefish. Sei entrato in un portale del Fediverse, una rete interconnessa di migliaia di server, chiamata \"istanze\"" step6_3: "Ogni server funziona in modo diverso, e non tutti i server eseguono Firefish. Questo perรฒ lo fa! รˆ un po' complicato, ma ci riuscirete in poco tempo" step6_4: "Ora andate, esplorate e divertitevi!" + title: Come usare Firefish _2fa: registerTOTP: "Aggiungi dispositivo" + securityKeyName: Scegli un nome per la chiave + renewTOTPOk: Riconfigura + step2: Poi, scansiona il QR code mostrato a schermo. + securityKeyInfo: Oltre alle impronte digitali o al PIN, puoi anche autenticarti + con chiavi di sicurezza hardware che supportano FIDO2 per rendere il tuo account + ancora piรน sicuro. + step3Title: Inserisci un codice di autenticazione + alreadyRegistered: Hai giร  registrato un dispositivo per l'autenticazione a due + fattori (2FA). + step3: Inserisci il token fornito dalla tua app per terminare. + step4: Da ora in poi i futuri tentativi di login necessiteranno del token. + registerTOTPBeforeKey: Prima installa una app di autenticazione o registra una chiave + di sicurezza o una pass key. + token: Token 2FA + whyTOTPOnlyRenew: La app di autenticazione non puรฒ essere rimossa finchรฉ la chiave + di sicurezza รจ registrata. + step2Click: Cliccando sul QR code potrai registrare la 2FA nella tua chiave di sicurezza + o nella app di autenticazione dello smartphone. + step2Url: 'Puoi anche chiamare questo URL se sei su desktop:' + securityKeyNotSupported: Il tuo browser non supporta le chiavi di sicurezza. + chromePasskeyNotSupported: Le passkey di Chrome non sono supportate. + renewTOTPConfirm: I codici di verifica giร  impostati in precedenza smetteranno di + funzionare + renewTOTP: Riconfigura la app di autenticazione + registerSecurityKey: Registra una chiave di sicurezza o pass key + step1: Prima di tutto, installa una app di autenticazione (tipo a} o {b}) sul tuo + device. + tapSecurityKey: Segui le istruzioni del tuo browser per registrare la chiave di + sicurezza o la pass key + removeKey: Rimuovi la chiave di sicurezza + removeKeyConfirm: Confermi la rimozione della chiave {name} ? + renewTOTPCancel: Annulla _permissions: "read:account": "Visualizzare le informazioni dell'account" "write:account": "Modificare le informazioni dell'account" @@ -1147,13 +1258,13 @@ _permissions: "write:drive": "Gestire il Drive" "read:favorites": "Visualizza i tuoi preferiti" "write:favorites": "Gestisci i tuoi preferiti" - "read:following": "Vedi le informazioni di follow" - "write:following": "Seguiti/ Smetti di seguire" + "read:following": "Vedi le informazioni su chi segui" + "write:following": "Aggiungi o rimuovi account da seguire" "read:messaging": "Visualizzare la chat" "write:messaging": "Gestire la chat" "read:mutes": "Vedi account silenziati" "write:mutes": "Gerisci account silenziati" - "write:notes": "Creare / Eliminare note" + "write:notes": "Crea o rimuovi i post" "read:notifications": "Visualizza notifiche" "write:notifications": "Gerisci notifiche" "read:reactions": "Vedi reazioni" @@ -1167,6 +1278,10 @@ _permissions: "write:user-groups": "Gestisci gruppi di utenti" "read:channels": "Visualizza canali" "write:channels": "Gerisci canali" + "write:gallery": Modifica la galleria + "read:gallery": Vedi nella galleria + "read:gallery-likes": Guarda i preferiti della galleria + "write:gallery-likes": Modifica i preferiti della galleria _auth: shareAccess: "Autorizzareใ€Œ{name}ใ€ad accedere al tuo account?" shareAccessAsk: "Vuoi davvero consentire l'accesso al tuo account a questa app'?" @@ -1174,9 +1289,11 @@ _auth: pleaseGoBack: "Si prega di ritornare sulla app" callback: "Ritornando sulla app" denied: "Accesso negato" + copyAsk: "Incolla questo codice di autorizzazione nell'applicazione:" + allPermissions: Accesso completo all'account _antennaSources: all: "Tutti i post" - homeTimeline: "Post dagli utenti che segui" + homeTimeline: "Post dagli account che segui" users: "Post dagli utenti selezionati" userList: "Post dagli utenti di una lista specifica" userGroup: "Post dagli utenti in un gruppo specifico" @@ -1250,8 +1367,8 @@ _visibility: publicDescription: "Il tuo post sarร  visibile in tutte le timeline pubbliche" home: "Home" homeDescription: "Visibile solo sulla timeline \"Home\"" - followers: "Followers" - followersDescription: "Visibile solo per i tuoi followers e gli utenti che menzioni" + followers: "Chi ti segue" + followersDescription: "Visibile solo a chi ti segue e a chi menzioni" specified: "Diretta" specifiedDescription: "Visibile solo per gli/le utenti menzionatษ™" localOnly: "Soltanto locale" @@ -1285,7 +1402,7 @@ _profile: l'ora locale in cui ti trovi. _exportOrImport: allNotes: "Tutti i post" - followingList: "Follows" + followingList: "Account che segui" muteList: "Account silenziati" blockingList: "Account bloccati" userLists: "Liste" @@ -1311,8 +1428,8 @@ _instanceCharts: usersTotal: "Totale cumulativo di utenti" notes: "Differenza nel numero di post" notesTotal: "Totale cumulativo di post" - ff: "Variazione dei follow/ follower" - ffTotal: "Totale cumulato dei follow/ follower" + ff: "Differenza tra chi segui e chi ti segue " + ffTotal: "Totale tra chi segui e chi ti segue" cacheSize: "Variazione dello spazio occupato dalla cache" cacheSizeTotal: "Totale cumulato dello spazio occupato dalla cache" files: "Variazione del numero di file" @@ -1322,7 +1439,7 @@ _timelines: local: "Locale" social: "Sociale" global: "Federata" - recommended: Raccomandato + recommended: Suggerito _pages: newPage: "Crea pagina" editPage: "Modifica pagina" @@ -1394,7 +1511,7 @@ _pages: width: "Larghezza" height: "Altezza" id: Canvas ID - note: "Post embedded" + note: "Post integrato" _note: id: "Post ID" idDescription: "In alternativa puoi incollare qui l'URL del post." @@ -1552,7 +1669,7 @@ _pages: arg2: Valore massimo strLen: Lunghezza del testo join: Concatenazione testo - splitStrByLine: Suddividi il testo al fine riga + splitStrByLine: Suddividi su piรน righe subtract: Sottrazione lt: < A รจ minore di B gt: '> A รจ maggiore di B' @@ -1623,35 +1740,35 @@ _notification: fileUploaded: "File caricato correttamente" youGotMention: "{name} ti ha menzionato" youGotReply: "{name} ti ha risposto" - youGotQuote: "{name} ha citato il tuo Nota e ha detto" + youGotQuote: "{name} ti ha citato" youRenoted: "Boost da {name}" youGotPoll: "{name} ha votato" youGotMessagingMessageFromUser: "{name} ti ha mandato un messaggio" youGotMessagingMessageFromGroup: "{name} ti ha mandato un messaggio nella chat" - youWereFollowed: "Ha iniziato a seguirti" + youWereFollowed: "ha iniziato a seguirti" youReceivedFollowRequest: "Hai ricevuto una richiesta di follow" yourFollowRequestAccepted: "La tua richiesta di follow รจ stata accettata" youWereInvitedToGroup: "Invitat@ al gruppo" _types: all: "Tutto" - follow: "Nuovษ™ follower" + follow: "Nuovi che ti seguono" mention: "Menzioni" reply: "Risposte" renote: "Boost" quote: "Cita" reaction: "Reazioni" pollVote: "Voti ricevuti" - receiveFollowRequest: "Richiesta di follow ricevuta" - followRequestAccepted: "Richiesta di follow accettata" + receiveFollowRequest: "Qualcuno ha richiesto di seguirti" + followRequestAccepted: "Richiesta accettata" groupInvited: "Invito a un gruppo" app: "Notifiche da applicazioni" pollEnded: Fine del sondaggio _actions: reply: "Rispondi" renote: "Boost" - followBack: ricambia il tuo follow + followBack: ha ricambiato il follow e ti segue reacted: ha aggiunto una reazione al tuo post - renoted: ha rilanciato il tuo post con un boost + renoted: ha dato un boost al tuo post pollEnded: I risultati del sondaggio sono disponibili voted: ha votato il tuo sondaggio emptyPushNotificationMessage: Le notifiche push sono state aggiornate @@ -1671,7 +1788,7 @@ _deck: widgets: "Widget" notifications: "Notifiche" tl: "Timeline" - antenna: "Antenne" + antenna: "Antenna" list: "Liste" mentions: "Menzioni" direct: "Messaggi diretti" @@ -1705,8 +1822,8 @@ flagSpeakAsCatDescription: I tuoi post saranno "nyanified" quando sei in modalit selectInstance: Scegli un server keepOriginalUploading: Mantieni l'immagine originale moderation: Moderazione -expandOnNoteClickDesc: Se disabilitato, potrai comunque aprire i post cliccando sull'orario - o con il tasto destro del mouse . +expandOnNoteClickDesc: Se disabilitato, potrai comunque aprire i post con il tasto + destro del mouse oppure cliccando sull'orario. userSaysSomethingReasonQuote: '{name} ha citato un post che contiene {reason}' narrow: Stretto cropImageAsk: Vuoi ritagliare questa immagine? @@ -1721,7 +1838,7 @@ activeEmailValidationDescription: Abilita la verifica rigorosa dell'indirizzo em customMOTDDescription: Messaggi personalizzati che sono mostrati sullo splash screen durate il caricamento, uno per riga, saranno scelti a caso ogni volta che l'utente carica o ricarica la pagina. -recommendedInstances: Server consigliati +recommendedInstances: Server suggeriti customSplashIconsDescription: Elenco degli URL di icone personalizzate da mostrare casualmente ogni volta che l'utente carica o ricarica la pagina. Assicurati che le immagini siano su un URL statico, preferibilmente di dimensioni 192x192. @@ -1737,7 +1854,7 @@ findOtherInstance: Scegli un altro server apps: App expandOnNoteClick: Apri i post con un click userSaysSomethingReasonReply: '{name} ha risposto a un post che contiene {reason}' -userSaysSomethingReasonRenote: '{name} ha dato un boost al post che contiene {reason}' +userSaysSomethingReasonRenote: '{name} ha dato un boost al post che contiene {reason}' forwardReport: Inoltra la segnalazione al server remoto size: Dimensione numberOfColumn: Numero di colonne @@ -1748,9 +1865,9 @@ forwardReportIsAnonymous: Al posto del proprio account, nel server remoto verrร  un account anonimo come autore della segnalazione. unclip: Togli il clip instanceSecurity: Sicurezza del server -recommended: Raccomandato +recommended: Suggerito seperateRenoteQuote: Separa i bottoni di boost e citazione -ffVisibility: Visibilitร  dei follower +ffVisibility: Visibilitร  di chi segui e chi ti segue failedToFetchAccountInformation: Non รจ possibile ottenere informazioni sull'account rateLimitExceeded: Limite di richieste superato document: Documentazione @@ -1815,8 +1932,8 @@ enableCustomKaTeXMacro: Abilita le macro KaTeX personalizzate preventAiLearningDescription: Richiedi ai bot di intelligenza artificiale di terze parti di non studiare e acquisire il contenuto che carichi, come post e immagini. preventAiLearning: Impedisci l'acquisizione dei contenuti da parte dei bot IA -confirmToUnclipAlreadyClippedNote: Questo post รจ giร  incluso nel clip "{name}". Vuoi - rimuoverlo dal clip piuttosto? +confirmToUnclipAlreadyClippedNote: Questo post รจ giร  incluso nella clip "{name}". + Vuoi rimuoverlo dalla clip piuttosto? moveToLabel: 'Account dove vuoi migrare:' migrationConfirm: "Hai l'assoluta sicurezza di voler migrare il tuo account verso {account}? Quando lo avrai fatto, non sarai in grado di tornare indietro e non potrai @@ -1839,7 +1956,7 @@ noteId: Post ID noInstances: Non ci sono server antennaInstancesDescription: Elenca un server per riga switchAccount: Cambia account -swipeOnMobile: Permetti di fare swipe orizzontale tra le pagine +swipeOnMobile: Permetti di fare swipe tra le pagine showAdminUpdates: Segnala nuove versioni di Firefish (solo admin) selectChannel: Seleziona un canale clipsDesc: I clip sono come segnalibri categorizzati e condivisibili. Puoi creare @@ -1854,8 +1971,7 @@ keepOriginalUploadingDescription: Salva l'immagine caricata originariamente cos Se disattivato, al momento del caricamento verrร  generata una versione da visualizzare sul web. accessibility: Accessibilitร  -ffVisibilityDescription: Puoi configurare chi puรฒ vedere chi segui e anche i tuoi - follower. +ffVisibilityDescription: Puoi far vedere chi segui e chi ti segue. continueThread: Continua la conversazione smartphone: Smartphone tablet: Tablet @@ -1884,13 +2000,13 @@ allowedInstances: Whitelist dei server customCssWarn: Questa impostazione dovrebbe essere usata solo se sai cosa stai facendo. Inserire valori errati potrebbe bloccare il funzionamento del client. lastCommunication: Ultima comunicazione -breakFollowConfirm: Vuoi veramente rimuovere il follower? +breakFollowConfirm: Confermi la rimozione del follower? makeReactionsPublic: Rendi pubblica la storia di tutte le reazioni makeReactionsPublicDescription: Questa opzione rende visibile a tutti l'elenco delle tue reazioni ai post nel passato. overridedDeviceKind: Tipo di dispositivo auto: Auto -reflectMayTakeTime: Potrebbe servire del tempo perchรฉ il cambiamento sia effettivo. +reflectMayTakeTime: Potrebbe servire del tempo perchรฉ il cambiamento abbia effetto. cropImage: Ritaglia l'immagine recentNHours: Ultime {n} ore deleteAccount: Rimuovi l'account @@ -1918,7 +2034,7 @@ thereIsUnresolvedAbuseReportWarning: Ci sono segnalazioni non ancora gestite. requireAdminForView: Devi avere un account amministratore per vedere questo contenuto. jumpToPrevious: Vai al precedente flagShowTimelineReplies: Mostra le risposte nella timeline -cw: Avviso sul contenuto +cw: Contenuto sensibile renoteMute: Silenzia i boost renoteUnmute: Non silenziare i boost enableEmojiReactions: Abilita le reazioni con emoji @@ -1939,11 +2055,11 @@ _dialog: cannotUploadBecauseExceedsFileSizeLimit: Questo file non รจ stato caricato perchรฉ eccede lo spazio disponibile. xl: XL -shuffle: Mescola +shuffle: Casuale subscribePushNotification: Abilita le notifiche push unsubscribePushNotification: Disabilita le notifiche push pushNotificationAlreadySubscribed: Le notifiche push sono giร  abilitate -driveCapOverrideCaption: Imposta la capacitร  predefinita inserendo il valore 0. +driveCapOverrideCaption: Reimposta la capacitร  predefinita inserendo il valore 0. numberOfPageCacheDescription: Aumentare questo numero migliorerร  l'esperienza degli utenti ma aumenterร  il carico sul server e l'uso di memoria. type: Tipo @@ -1951,8 +2067,8 @@ fast: Veloce remoteOnly: Solo remoto showAds: Mostra i banner della comunitร  showUpdates: Mostra un popup mentre Firefish si aggiorna -recommendedInstancesDescription: Server consigliati, uno per riga, nell'ordine in - cui saranno mostrati nella timeline dei consigliati. +recommendedInstancesDescription: Server suggeriti, uno per riga, nell'ordine in cui + saranno mostrati nella timeline dei suggeriti. beta: Beta neverShow: Non mostrare piรน remindMeLater: Non adesso @@ -1961,7 +2077,7 @@ noGraze: Per favore disattiva l'estenzione del browser "Graze for Mastodon", per silencedWarning: Vedi questa pagina perchรฉ gli utenti sono su un server che il tuo admin ha silenziato, quindi potrebbero essere spam. isBot: Questo account รจ un bot -isLocked: Questo account richiede l'approvazione del follow +isLocked: Serve una approvazione per seguire questo account moveFromDescription: Questa operazione crea un alias del vecchio account in modo che tu possa migrare su questo nuovo account. Fallo PRIMA di migrare il tuo vecchio account. Usa il formato @nomeutente@server.com @@ -1980,3 +2096,64 @@ customKaTeXMacroDescription: 'Crea delle macro per scrivere facilmente espressio a capo nel mezzo di una definizione. Le linee non valide sono semplicemente ignorate. Sono supportate solo funzioni semplici di sostituzione nella stringa; sintassi avanzate, come comandi condizionali, non possono essere usate qui.' +deletePasskeysConfirm: Stai per eliminare in modo irreversibile le passkey e le chiavi + di sicurezza su questo account. Confermi? +delete2faConfirm: Stai per eliminare in modo irreversibile le impostazioni 2FA su + questo account. Confermi? +inputNotMatch: Il valore inserito non corrisponde +_sensitiveMediaDetection: + description: Riduce lo sforzo di moderare il server rilevando automaticamente i + contenuti NSFW tramite Machine Learning. Aumenterร  leggermente il carico sul server. + setSensitiveFlagAutomaticallyDescription: Il risultato del riconoscimento verrร  + conservato internamente anche se questa opzione รจ spenta. + analyzeVideos: Abilita l'analisi dei video + analyzeVideosDescription: Analizza anche i video oltre che le immagini. Aumenterร  + leggermente il carico sul server. + sensitivityDescription: Riducendo l'accuratezza ridurrai i falsi positivi (censura + di contenuti accettabili), aumentandola ridurrai i falsi negativi (approvazione + di contenuti sensibili). + setSensitiveFlagAutomatically: Marca come NSFW + sensitivity: Accuratezza della rilevazione +_preferencesBackups: + nameAlreadyExists: Esiste giร  un backup con nome "{name}". Scegli un nome diverso. + applyConfirm: Vuoi veramente ripristinare il backup "{name}" su questo dispositivo? + Le impostazioni attuali saranno sovrascritte. + saveConfirm: Salvare in backup come "{name}"? + createdAt: 'Creato: {date} {time}' + loadFile: Carica da file + list: Backup creati + saveNew: Salva un nuovo backup + apply: Applica a questo dispositivo + save: Salva i cambiamenti + cannotSave: Salvataggio fallito + noBackups: Non esistono backup. Puoi creare un backup delle impostazioni di questo + server usando "Crea un nuovo backup". + inputName: Inserisci il nome del backup + updatedAt: 'Aggiornato: {date} {time}' + invalidFile: Formato file non valido + cannotLoad: Caricamento fallito + deleteConfirm: Rimuovere il backup "{name}"? + renameConfirm: Rinominare il backup da "{old}" a "{new}"? +_filters: + followersOnly: Solo chi ti segue + fromUser: Dall'utente + withFile: Con file + fromDomain: Dal dominio + notesAfter: Post successivi + notesBefore: Post precedenti + followingOnly: Solo chi segui +_instanceMute: + heading: Elenco di server da silenziare + title: Nascondi i post dai server elencati. + instanceMuteDescription2: Separa andando a capo + instanceMuteDescription: Per silenziare post e boost dai server elencati, saranno + silenziate anche tutte le risposte a quei contenuti. +_messaging: + dms: Privato + groups: Gruppi +confirm: Conferma +importZip: Importa ZIP +exportZip: Esporta ZIP +emojiPackCreator: Creazione di un pacchetto Emoji +addRe: Aggiungi "re:" all'inizio di un commento in risposta a un post che ha un avviso + sui contenuti diff --git a/locales/ko-KR.yml b/locales/ko-KR.yml index 0b1e633184..7fcc86c5f1 100644 --- a/locales/ko-KR.yml +++ b/locales/ko-KR.yml @@ -1,8 +1,6 @@ _lang_: "ํ•œ๊ตญ์–ด" -headlineFirefish: "๋…ธํŠธ๋กœ ์—ฐ๊ฒฐ๋˜๋Š” ๋„คํŠธ์›Œํฌ" -introFirefish: "ํ™˜์˜ํ•ฉ๋‹ˆ๋‹ค! Firefish ๋Š” ์˜คํ”ˆ ์†Œ์Šค ๋ถ„์‚ฐํ˜• ๋งˆ์ดํฌ๋กœ ๋ธ”๋กœ๊ทธ ์„œ๋น„์Šค์ž…๋‹ˆ๋‹ค.\n\"๋…ธํŠธ\" ๋ฅผ ์ž‘์„ฑํ•ด์„œ, ์ง€๊ธˆ ์ผ์–ด๋‚˜๊ณ  - ์žˆ๋Š” ์ผ์„ ๊ณต์œ ํ•˜๊ฑฐ๋‚˜, ๋‹น์‹ ๋งŒ์˜ ์ด์•ผ๊ธฐ๋ฅผ ๋ชจ๋‘์—๊ฒŒ ๋ฐœ์‹ ํ•˜์„ธ์š”๐Ÿ“ก\n\"๋ฆฌ์•ก์…˜\" ๊ธฐ๋Šฅ์œผ๋กœ, ์นœ๊ตฌ์˜ ๋…ธํŠธ์— ์ด์•Œ๊ฐ™์ด ๋ฐ˜์‘์„ ์ถ”๊ฐ€ํ•  ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค๐Ÿ‘\n - ์ƒˆ๋กœ์šด ์„ธ๊ณ„๋ฅผ ํƒํ—˜ํ•ด ๋ณด์„ธ์š”๐Ÿš€" +headlineFirefish: "์˜์›ํžˆ ๋ฌด๋ฃŒ๋กœ ์ œ๊ณต๋˜๋Š” ์˜คํ”ˆ ์†Œ์Šค ํƒˆ์ค‘์•™ํ™” ์†Œ์…œ ๋ฏธ๋””์–ด ํ”Œ๋žซํผ ๐Ÿš€" +introFirefish: "ํ™˜์˜ํ•ฉ๋‹ˆ๋‹ค! Firefish ๋Š” ์˜์›ํžˆ ๋ฌด๋ฃŒ๋กœ ์ œ๊ณต๋˜๋Š” ์˜คํ”ˆ ์†Œ์Šค ๋ถ„์‚ฐํ˜• ์†Œ์…œ ๋ฏธ๋””์–ด ํ”Œ๋žซํผ์ž…๋‹ˆ๋‹ค! ๐Ÿš€" monthAndDay: "{month}์›” {day}์ผ" search: "๊ฒ€์ƒ‰" notifications: "์•Œ๋ฆผ" @@ -14,8 +12,8 @@ ok: "OK" gotIt: "์•Œ๊ฒ ์–ด์š”" cancel: "์ทจ์†Œ" enterUsername: "์œ ์ €๋ช… ์ž…๋ ฅ" -renotedBy: "{user}๋‹˜์ด Renote" -noNotes: "๋…ธํŠธ๊ฐ€ ์—†์Šต๋‹ˆ๋‹ค" +renotedBy: "{user}๋‹˜์ด ๋ถ€์ŠคํŠธ" +noNotes: "๊ฒŒ์‹œ๋ฌผ์ด ์—†์Šต๋‹ˆ๋‹ค" noNotifications: "ํ‘œ์‹œํ•  ์•Œ๋ฆผ์ด ์—†์Šต๋‹ˆ๋‹ค" instance: "์„œ๋ฒ„" settings: "์„ค์ •" @@ -45,7 +43,7 @@ copyContent: "๋‚ด์šฉ ๋ณต์‚ฌ" copyLink: "๋งํฌ ๋ณต์‚ฌ" delete: "์‚ญ์ œ" deleteAndEdit: "์‚ญ์ œ ํ›„ ํŽธ์ง‘" -deleteAndEditConfirm: "์ด ๋…ธํŠธ๋ฅผ ์‚ญ์ œํ•œ ๋’ค ๋‹ค์‹œ ํŽธ์ง‘ํ•˜์‹œ๊ฒ ์Šต๋‹ˆ๊นŒ? ์ด ๋…ธํŠธ์— ๋Œ€ํ•œ ๋ฆฌ์•ก์…˜, ๋ฆฌ๋…ธํŠธ, ๋‹ต๊ธ€ ๋˜ํ•œ ๋ชจ๋‘ ์‚ญ์ œ๋ฉ๋‹ˆ๋‹ค." +deleteAndEditConfirm: "์ด ๊ฒŒ์‹œ๋ฌผ์„ ์‚ญ์ œํ•œ ๋’ค ๋‹ค์‹œ ํŽธ์ง‘ํ•˜์‹œ๊ฒ ์Šต๋‹ˆ๊นŒ? ์ด ๊ฒŒ์‹œ๋ฌผ์— ๋Œ€ํ•œ ๋ฆฌ์•ก์…˜, ๋ถ€์ŠคํŠธ, ๋‹ต๊ธ€ ๋˜ํ•œ ๋ชจ๋‘ ์‚ญ์ œ๋ฉ๋‹ˆ๋‹ค." addToList: "๋ฆฌ์ŠคํŠธ์— ์ถ”๊ฐ€" sendMessage: "๋ฉ”์‹œ์ง€ ๋ณด๋‚ด๊ธฐ" copyUsername: "์œ ์ €๋ช… ๋ณต์‚ฌ" @@ -59,20 +57,20 @@ receiveFollowRequest: "์ƒˆ๋กœ์šด ํŒ”๋กœ์šฐ ์š”์ฒญ์ด ์žˆ์Šต๋‹ˆ๋‹ค" followRequestAccepted: "ํŒ”๋กœ์šฐ๊ฐ€ ์ˆ˜๋ฝ๋˜์—ˆ์Šต๋‹ˆ๋‹ค" mention: "๋ฉ˜์…˜" mentions: "๋ฐ›์€ ๋ฉ˜์…˜" -directNotes: "๋‹ค์ด๋ ‰ํŠธ ๋…ธํŠธ" +directNotes: "๋‹ค์ด๋ ‰ํŠธ ๊ฒŒ์‹œ๋ฌผ" importAndExport: "๊ฐ€์ ธ์˜ค๊ธฐ์™€ ๋‚ด๋ณด๋‚ด๊ธฐ" import: "๊ฐ€์ ธ์˜ค๊ธฐ" export: "๋‚ด๋ณด๋‚ด๊ธฐ" files: "ํŒŒ์ผ" download: "๋‹ค์šด๋กœ๋“œ" -driveFileDeleteConfirm: "ํŒŒ์ผ \"{name}\" ์„ ์‚ญ์ œํ•˜์‹œ๊ฒ ์Šต๋‹ˆ๊นŒ? ์ด ํŒŒ์ผ์ด ์ฒจ๋ถ€๋˜์—ˆ๋” ๋…ธํŠธ์—์„œ๋„ ๊ฐ™์ด ์‚ญ์ œ๋ฉ๋‹ˆ๋‹ค." +driveFileDeleteConfirm: "ํŒŒ์ผ \"{name}\" ์„ ์‚ญ์ œํ•˜์‹œ๊ฒ ์Šต๋‹ˆ๊นŒ? ์ด ํŒŒ์ผ์ด ์ฒจ๋ถ€๋˜์—ˆ๋” ๊ฒŒ์‹œ๋ฌผ์—์„œ๋„ ๊ฐ™์ด ์‚ญ์ œ๋ฉ๋‹ˆ๋‹ค." unfollowConfirm: "{name}๋‹˜์„ ์–ธํŒ”๋กœ์šฐํ•˜์‹œ๊ฒ ์Šต๋‹ˆ๊นŒ?" exportRequested: "๋‚ด๋ณด๋‚ด๊ธฐ๋ฅผ ์š”์ฒญํ•˜์˜€์Šต๋‹ˆ๋‹ค. ์ด ์ž‘์—…์€ ์‹œ๊ฐ„์ด ๊ฑธ๋ฆด ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋‚ด๋ณด๋‚ด๊ธฐ๊ฐ€ ์™„๋ฃŒ๋˜๋ฉด \"๋“œ๋ผ์ด๋ธŒ\"์— ์ถ”๊ฐ€๋ฉ๋‹ˆ๋‹ค." importRequested: "๊ฐ€์ ธ์˜ค๊ธฐ๋ฅผ ์š”์ฒญํ•˜์˜€์Šต๋‹ˆ๋‹ค. ์ด ์ž‘์—…์—๋Š” ์‹œ๊ฐ„์ด ๊ฑธ๋ฆด ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค." lists: "๋ฆฌ์ŠคํŠธ" noLists: "๋ฆฌ์ŠคํŠธ๊ฐ€ ์—†์Šต๋‹ˆ๋‹ค" -note: "๋…ธํŠธ" -notes: "๋…ธํŠธ" +note: "๊ฒŒ์‹œ" +notes: "๊ฒŒ์‹œ๋ฌผ" following: "ํŒ”๋กœ์ž‰" followers: "ํŒ”๋กœ์›Œ" followsYou: "๋‹น์‹ ์„ ํŒ”๋กœ์šฐํ•ฉ๋‹ˆ๋‹ค" @@ -96,13 +94,13 @@ followRequests: "ํŒ”๋กœ์šฐ ์š”์ฒญ" unfollow: "ํŒ”๋กœ์šฐ ํ•ด์ œ" followRequestPending: "ํŒ”๋กœ์šฐ ํ—ˆ๊ฐ€ ๋Œ€๊ธฐ์ค‘" enterEmoji: "์ด๋ชจ์ง€ ์ž…๋ ฅ" -renote: "Renote" -unrenote: "Renote ์ทจ์†Œ" -renoted: "Renote ํ•˜์˜€์Šต๋‹ˆ๋‹ค" -cantRenote: "์ด ๊ฒŒ์‹œ๋ฌผ์€ Renoteํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค." -cantReRenote: "Renote๋ฅผ Renoteํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค." +renote: "๋ถ€์ŠคํŠธ" +unrenote: "๋ถ€์ŠคํŠธ ์ทจ์†Œ" +renoted: "๋ถ€์ŠคํŠธ ํ•˜์˜€์Šต๋‹ˆ๋‹ค" +cantRenote: "์ด ๊ฒŒ์‹œ๋ฌผ์€ ๋ถ€์ŠคํŠธํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค." +cantReRenote: "๋ถ€์ŠคํŠธ๋ฅผ ๋ถ€์ŠคํŠธํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค." quote: "์ธ์šฉ" -pinnedNote: "๊ณ ์ •ํ•ด๋†“์€ ๋…ธํŠธ" +pinnedNote: "๊ณ ์ •ํ•ด๋†“์€ ๊ฒŒ์‹œ๋ฌผ" pinned: "ํ”„๋กœํ•„์— ๊ณ ์ •" you: "๋‹น์‹ " clickToShow: "ํด๋ฆญํ•˜์—ฌ ๋ณด๊ธฐ" @@ -146,7 +144,7 @@ flagAsBotDescription: "์ด ๊ณ„์ •์„ ์ž๋™ํ™”๋œ ์ˆ˜๋‹จ์œผ๋กœ ์šด์šฉํ•  ๊ฒฝ์šฐ ๋ด‡ ๋ผ๋ฆฌ์˜ ๋ฌดํ•œ ์—ฐ์‡„ ๋ฐ˜์‘์„ ํšŒํ”ผํ•˜๊ฑฐ๋‚˜, ์ด ๊ณ„์ •์˜ ์‹œ์Šคํ…œ ์ƒ์—์„œ์˜ ์ทจ๊ธ‰์ด Bot ์šด์˜์— ์ตœ์ ํ™”๋˜๋Š” ๋“ฑ์˜ ๋ณ€ํ™”๊ฐ€ ์ƒ๊น๋‹ˆ๋‹ค." flagAsCat: "๋‚˜๋Š” ๊ณ ์–‘์ด๋‹ค๋ƒฅ" flagAsCatDescription: "์ด ๊ณ„์ •์ด ๊ณ ์–‘์ด๋ผ๋ฉด ํ™œ์„ฑํ™” ํ•ด์ฃผ์„ธ์š”." -flagShowTimelineReplies: "ํƒ€์ž„๋ผ์ธ์— ๋…ธํŠธ์˜ ๋‹ต๊ธ€์„ ํ‘œ์‹œํ•˜๊ธฐ" +flagShowTimelineReplies: "ํƒ€์ž„๋ผ์ธ์— ๊ฒŒ์‹œ๋ฌผ์˜ ๋‹ต๊ธ€์„ ํ‘œ์‹œํ•˜๊ธฐ" flagShowTimelineRepliesDescription: "์ด ์„ค์ •์„ ํ™œ์„ฑํ™”ํ•˜๋ฉด ํƒ€์ž„๋ผ์ธ์— ๋‹ค๋ฅธ ์œ ์ € ๊ฐ„์˜ ๋‹ต๊ธ€์„ ํ‘œ์‹œํ•ฉ๋‹ˆ๋‹ค." autoAcceptFollowed: "ํŒ”๋กœ์šฐ ์ค‘์ธ ์œ ์ €๋กœ๋ถ€ํ„ฐ์˜ ํŒ”๋กœ์šฐ ์š”์ฒญ์„ ์ž๋™ ์ˆ˜๋ฝ" addAccount: "๊ณ„์ • ์ถ”๊ฐ€" @@ -205,7 +203,7 @@ noUsers: "์•„๋ฌด๋„ ์—†์Šต๋‹ˆ๋‹ค" editProfile: "ํ”„๋กœํ•„ ์ˆ˜์ •" noteDeleteConfirm: "์ด ๊ฒŒ์‹œ๋ฌผ์„ ์‚ญ์ œํ•˜์‹œ๊ฒ ์Šต๋‹ˆ๊นŒ?" pinLimitExceeded: "๋” ์ด์ƒ ๊ณ ์ •ํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค." -intro: "Misskey์˜ ์„ค์น˜๊ฐ€ ์™„๋ฃŒ๋˜์—ˆ์Šต๋‹ˆ๋‹ค! ๊ด€๋ฆฌ์ž ๊ณ„์ •์„ ์ƒ์„ฑํ•ด์ฃผ์„ธ์š”." +intro: "Firefish์˜ ์„ค์น˜๊ฐ€ ์™„๋ฃŒ๋˜์—ˆ์Šต๋‹ˆ๋‹ค! ๊ด€๋ฆฌ์ž ๊ณ„์ •์„ ์ƒ์„ฑํ•ด์ฃผ์„ธ์š”." done: "์™„๋ฃŒ" processing: "์ฒ˜๋ฆฌ์ค‘" preview: "๋ฏธ๋ฆฌ๋ณด๊ธฐ" @@ -294,7 +292,7 @@ emptyDrive: "๋“œ๋ผ์ด๋ธŒ๊ฐ€ ๋น„์–ด ์žˆ์Šต๋‹ˆ๋‹ค" emptyFolder: "ํด๋”๊ฐ€ ๋น„์–ด ์žˆ์Šต๋‹ˆ๋‹ค" unableToDelete: "์‚ญ์ œํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค" inputNewFileName: "๋ฐ”๊ฟ€ ํŒŒ์ผ๋ช…์„ ์ž…๋ ฅํ•ด ์ฃผ์„ธ์š”" -inputNewDescription: "์ƒˆ ์บก์…˜์„ ์ž…๋ ฅํ•ด ์ฃผ์„ธ์š”" +inputNewDescription: "์ƒˆ ์„ค๋ช…์„ ์ž…๋ ฅํ•ด ์ฃผ์„ธ์š”" inputNewFolderName: "๋ฐ”๊ฟ€ ํด๋”๋ช…์„ ์ž…๋ ฅํ•ด ์ฃผ์„ธ์š”" circularReferenceFolder: "์ง€์ •ํ•œ ํด๋”๊ฐ€ ์ด๋™ํ•  ํด๋”์˜ ํ•˜์œ„ ํด๋”์ž…๋‹ˆ๋‹ค." hasChildFilesOrFolders: "์ด ํด๋”๋Š” ๋น„์–ด์žˆ์ง€ ์•Š๊ธฐ ๋•Œ๋ฌธ์— ์‚ญ์ œํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค." @@ -386,7 +384,7 @@ exploreFediverse: "์—ฐํ•ฉ์šฐ์ฃผ๋ฅผ ํƒ์ƒ‰" popularTags: "์ธ๊ธฐ ํƒœ๊ทธ" userList: "๋ฆฌ์ŠคํŠธ" about: "์ •๋ณด" -aboutFirefish: "Misskey์— ๋Œ€ํ•˜์—ฌ" +aboutFirefish: "Firefish์— ๋Œ€ํ•˜์—ฌ" administrator: "๊ด€๋ฆฌ์ž" token: "ํ† ํฐ" twoStepAuthentication: "2๋‹จ๊ณ„ ์ธ์ฆ" @@ -537,8 +535,8 @@ sort: "์ •๋ ฌ" ascendingOrder: "์˜ค๋ฆ„์ฐจ์ˆœ" descendingOrder: "๋‚ด๋ฆผ์ฐจ์ˆœ" scratchpad: "์Šคํฌ๋ž˜์น˜ ํŒจ๋“œ" -scratchpadDescription: "์Šคํฌ๋ž˜์น˜ ํŒจ๋“œ๋Š” AiScript ์˜ ํ…Œ์ŠคํŠธ ํ™˜๊ฒฝ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. Firefish ์™€ ์ƒํ˜ธ ์ž‘์šฉํ•˜๋Š” ์ฝ”๋“œ๋ฅผ ์ž‘์„ฑ, - ์‹คํ–‰ ๋ฐ ๊ฒฐ๊ณผ๋ฅผ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค." +scratchpadDescription: "์Šคํฌ๋ž˜์น˜ ํŒจ๋“œ๋Š” AiScript ์˜ ํ…Œ์ŠคํŠธ ํ™˜๊ฒฝ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. Firefish ์™€ ์ƒํ˜ธ ์ž‘์šฉํ•˜๋Š” ์ฝ”๋“œ๋ฅผ + ์ž‘์„ฑ, ์‹คํ–‰ ๋ฐ ๊ฒฐ๊ณผ๋ฅผ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค." output: "์ถœ๋ ฅ" script: "์Šคํฌ๋ฆฝํŠธ" disablePagesScript: "Pages ์—์„œ AiScript ๋ฅผ ์‚ฌ์šฉํ•˜์ง€ ์•Š์Œ" @@ -572,8 +570,8 @@ disablePlayer: "ํ”Œ๋ ˆ์ด์–ด ๋‹ซ๊ธฐ" expandTweet: "ํŠธ์œ— ํ™•์žฅํ•˜๊ธฐ" themeEditor: "ํ…Œ๋งˆ ์—๋””ํ„ฐ" description: "์„ค๋ช…" -describeFile: "์บก์…˜ ์ถ”๊ฐ€" -enterFileDescription: "์บก์…˜ ์ž…๋ ฅ" +describeFile: "์„ค๋ช… ์ถ”๊ฐ€" +enterFileDescription: "์„ค๋ช… ์ž…๋ ฅ" author: "์ž‘์„ฑ์ž" leaveConfirm: "์ €์žฅํ•˜์ง€ ์•Š์€ ๋ณ€๊ฒฝ์‚ฌํ•ญ์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ทจ์†Œํ•˜์‹œ๊ฒ ์Šต๋‹ˆ๊นŒ?" manage: "๊ด€๋ฆฌ" @@ -703,7 +701,7 @@ experimentalFeatures: "์‹คํ—˜์‹ค" developer: "๊ฐœ๋ฐœ์ž" makeExplorable: "\"๋ฐœ๊ฒฌํ•˜๊ธฐ\"์— ๋‚ด ๊ณ„์ • ๋ณด์ด๊ธฐ" makeExplorableDescription: "๋น„ํ™œ์„ฑํ™”ํ•˜๋ฉด \"๋ฐœ๊ฒฌํ•˜๊ธฐ\"์— ๋‚˜์˜ ๊ณ„์ •์„ ํ‘œ์‹œํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค." -showGapBetweenNotesInTimeline: "ํƒ€์ž„๋ผ์ธ์˜ ๋…ธํŠธ ์‚ฌ์ด๋ฅผ ๋„์›Œ์„œ ํ‘œ์‹œ" +showGapBetweenNotesInTimeline: "ํƒ€์ž„๋ผ์ธ์˜ ๊ฒŒ์‹œ๋ฌผ ์‚ฌ์ด๋ฅผ ๋„์›Œ์„œ ํ‘œ์‹œ" duplicate: "๋ณต์ œ" left: "์™ผ์ชฝ" center: "๊ฐ€์šด๋ฐ" @@ -758,7 +756,7 @@ unlikeConfirm: "์ข‹์•„์š”๋ฅผ ์ทจ์†Œํ• ๊นŒ์š”?" fullView: "์ „์ฒด ํ™”๋ฉด" quitFullView: "์ „์ฒด ํ™”๋ฉด ํ•ด์ œ" addDescription: "์„ค๋ช… ์ถ”๊ฐ€" -userPagePinTip: "๊ฐ ๊ฒŒ์‹œ๋ฌผ์˜ ๋ฉ”๋‰ด์—์„œ ใ€Œํ”„๋กœํ•„์— ๊ณ ์ •ใ€์„ ์„ ํƒํ•˜๋Š” ๊ฒƒ์œผ๋กœ, ์—ฌ๊ธฐ์— ๋…ธํŠธ๋ฅผ ํ‘œ์‹œํ•ด ๋‘˜ ์ˆ˜ ์žˆ์–ด์š”." +userPagePinTip: "๊ฐ ๊ฒŒ์‹œ๋ฌผ์˜ ๋ฉ”๋‰ด์—์„œ ใ€Œํ”„๋กœํ•„์— ๊ณ ์ •ใ€์„ ์„ ํƒํ•˜๋Š” ๊ฒƒ์œผ๋กœ, ์—ฌ๊ธฐ์— ๊ฒŒ์‹œ๋ฌผ์„ ํ‘œ์‹œํ•ด ๋‘˜ ์ˆ˜ ์žˆ์–ด์š”." notSpecifiedMentionWarning: "์ˆ˜์‹ ์ž๊ฐ€ ์„ ํƒ๋˜์ง€ ์•Š์€ ๋ฉ˜์…˜์ด ์žˆ์–ด์š”" info: "์ •๋ณด" userInfo: "์œ ์ € ์ •๋ณด" @@ -789,7 +787,7 @@ gallery: "๊ฐค๋Ÿฌ๋ฆฌ" recentPosts: "์ตœ๊ทผ ํฌ์ŠคํŠธ" popularPosts: "์ธ๊ธฐ ํฌ์ŠคํŠธ" shareWithNote: "๊ฒŒ์‹œ๋ฌผ๋กœ ๊ณต์œ " -ads: "๊ด‘๊ณ " +ads: "์ปค๋ฎค๋‹ˆํ‹ฐ ๋ฐฐ๋„ˆ" expiration: "๊ธฐํ•œ" memo: "๋ฉ”๋ชจ" priority: "์šฐ์„ ์ˆœ์œ„" @@ -811,7 +809,7 @@ hashtags: "ํ•ด์‹œํƒœ๊ทธ" troubleshooting: "๋ฌธ์ œ ํ•ด๊ฒฐ" useBlurEffect: "UI์— ํ๋ฆผ ํšจ๊ณผ ์‚ฌ์šฉ" learnMore: "์ž์„ธํžˆ" -misskeyUpdated: "Misskey๊ฐ€ ์—…๋ฐ์ดํŠธ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค!" +misskeyUpdated: "Firefish๊ฐ€ ์—…๋ฐ์ดํŠธ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค!" whatIsNew: "ํŒจ์น˜ ์ •๋ณด ๋ณด๊ธฐ" translate: "๋ฒˆ์—ญ" translatedFrom: "{x}์—์„œ ๋ฒˆ์—ญ" @@ -840,7 +838,7 @@ unmuteThread: "๊ธ€ํƒ€๋ž˜ ๋ฎคํŠธ ํ•ด์ œ" ffVisibility: "๋‚ด ์ธ๋งฅ์˜ ๊ณต๊ฐœ ๋ฒ”์œ„" ffVisibilityDescription: "๋‚˜์˜ ํŒ”๋กœ์šฐ์™€ ํŒ”๋กœ์›Œ ์ •๋ณด์— ๋Œ€ํ•œ ๊ณต๊ฐœ ๋ฒ”์œ„๋ฅผ ์„ค์ •ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค." continueThread: "์ด ๊ธ€ํƒ€๋ž˜ ์ด์–ด์„œ ๋ณด๊ธฐ" -deleteAccountConfirm: "๊ณ„์ •์ด ์‚ญ์ œ๋˜๊ณ  ๋˜๋Œ๋ฆด ์ˆ˜ ์—†๊ฒŒ ๋ฉ๋‹ˆ๋‹ค. ๊ณ„์†ํ•˜์‹œ๊ฒ ์Šต๋‹ˆ๊นŒ? " +deleteAccountConfirm: "๊ณ„์ •์ด ์‚ญ์ œ๋˜๊ณ  ๋˜๋Œ๋ฆด ์ˆ˜ ์—†๊ฒŒ ๋ฉ๋‹ˆ๋‹ค. ๊ณ„์†ํ•˜์‹œ๊ฒ ์Šต๋‹ˆ๊นŒ?" incorrectPassword: "๋น„๋ฐ€๋ฒˆํ˜ธ๊ฐ€ ์˜ฌ๋ฐ”๋ฅด์ง€ ์•Š์Šต๋‹ˆ๋‹ค." voteConfirm: "\"{choice}\"์— ํˆฌํ‘œํ•˜์‹œ๊ฒ ์Šต๋‹ˆ๊นŒ?" hide: "์ˆจ๊ธฐ๊ธฐ" @@ -992,12 +990,12 @@ _registry: domain: "๋„๋ฉ”์ธ" createKey: "ํ‚ค ์ƒ์„ฑ" _aboutFirefish: - about: "Misskey๋Š” syuilo์— ์˜ํ•ด์„œ 2014๋…„๋ถ€ํ„ฐ ๊ฐœ๋ฐœ๋˜์–ด ์˜จ ์˜คํ”ˆ์†Œ์Šค ์†Œํ”„ํŠธ์›จ์–ด ์ž…๋‹ˆ๋‹ค." + about: "Firefish๋Š” ThatOneCalculator์— ์˜ํ•ด์„œ 2022๋…„๋ถ€ํ„ฐ ๊ฐœ๋ฐœ๋˜์–ด ์˜จ Misskey์˜ ํฌํฌ ์†Œํ”„ํŠธ์›จ์–ด ์ž…๋‹ˆ๋‹ค." contributors: "์ฃผ์š” ๊ธฐ์—ฌ์ž" allContributors: "๋ชจ๋“  ๊ธฐ์—ฌ์ž" source: "์†Œ์Šค ์ฝ”๋“œ" - translation: "Misskey๋ฅผ ๋ฒˆ์—ญํ•˜๊ธฐ" - donate: "Misskey์— ๊ธฐ๋ถ€ํ•˜๊ธฐ" + translation: "Firefish๋ฅผ ๋ฒˆ์—ญํ•˜๊ธฐ" + donate: "Firefish์— ๊ธฐ๋ถ€ํ•˜๊ธฐ" morePatrons: "์ด ์™ธ์—๋„ ๋‹ค๋ฅธ ๋งŽ์€ ๋ถ„๋“ค์ด ๋„์›€์„ ์ฃผ์‹œ๊ณ  ๊ณ„์‹ญ๋‹ˆ๋‹ค. ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค๐Ÿฅฐ" patrons: "ํ›„์›์ž" patronsList: ๊ธฐ๋ถ€ ๊ธˆ์•ก์ด ์•„๋‹Œ ์‹œ๊ฐ„ ์ˆœ์„œ๋กœ ์ •๋ ฌํ•ฉ๋‹ˆ๋‹ค. ์œ„ ๋งํฌ๋ฅผ ํ†ตํ•ด ํ›„์›ํ•˜์—ฌ ๋‹น์‹ ์˜ ์ด๋ฆ„์„ ์ƒˆ๊ฒจ ๋ณด์„ธ์š”! @@ -1006,15 +1004,16 @@ _aboutFirefish: pleaseDonateToFirefish: Firefish์˜ ๊ฐœ๋ฐœ์— ํ›„์›ํ•˜๋Š” ๊ฒƒ์„ ๊ฒ€ํ† ํ•˜์—ฌ ์ฃผ์‹ญ์‹œ์˜ค. donateHost: '{host} ์—๊ฒŒ ๊ธฐ๋ถ€ํ•˜๊ธฐ' donateTitle: Firefish๊ฐ€ ๋งˆ์Œ์— ๋“œ์‹œ๋‚˜์š”? + misskeyContributors: ์˜ค๋ฆฌ์ง€๋„ Misskey ๊ธฐ์—ฌ์ž _nsfw: respect: "์—ด๋žŒ์ฃผ์˜๋กœ ์„ค์ •๋œ ๋ฏธ๋””์–ด ์ˆจ๊ธฐ๊ธฐ" ignore: "์—ด๋žŒ ์ฃผ์˜ ๋ฏธ๋””์–ด ํ•ญ์ƒ ํ‘œ์‹œ" force: "๋ฏธ๋””์–ด ํ•ญ์ƒ ์ˆจ๊ธฐ๊ธฐ" _mfm: cheatSheet: "MFM ๋„์›€๋ง" - intro: "MFM๋Š” Misskey์˜ ๋‹ค์–‘ํ•œ ๊ณณ์—์„œ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์ „์šฉ ๋งˆํฌ์—… ์–ธ์–ด์ž…๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์—์„œ๋Š” MFM์—์„œ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๊ตฌ๋ฌธ์„ ํ™•์ธํ•  - ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค." - dummy: "Misskey๋กœ ์—ฐํ•ฉ์šฐ์ฃผ์˜ ์„ธ๊ณ„๊ฐ€ ํŽผ์ณ์ง‘๋‹ˆ๋‹ค" + intro: "MFM๋Š” Misskey๋‚˜ Firefish, Akkoma ์™ธ์˜ ๋‹ค์–‘ํ•œ ๊ณณ์—์„œ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์ „์šฉ ๋งˆํฌ์—… ์–ธ์–ด์ž…๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์—์„œ๋Š” MFM์—์„œ + ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๊ตฌ๋ฌธ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค." + dummy: "Firefish๋กœ ์—ฐํ•ฉ์šฐ์ฃผ์˜ ์„ธ๊ณ„๊ฐ€ ํŽผ์ณ์ง‘๋‹ˆ๋‹ค" mention: "๋ฉ˜์…˜" mentionDescription: "๊ณจ๋ฑ…์ดํ‘œ(@) ๋’ค์— ์‚ฌ์šฉ์ž๋ช…์„ ๋„ฃ์–ด ํŠน์ • ์œ ์ €๋ฅผ ๋‚˜ํƒ€๋‚ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค." hashtag: "ํ•ด์‹œํƒœ๊ทธ" @@ -1134,7 +1133,7 @@ _wordMute: _instanceMute: instanceMuteDescription: "๋ฎคํŠธํ•œ ์„œ๋ฒ„์—์„œ ์˜ค๋Š” ๋‹ต๊ธ€์„ ํฌํ•จํ•œ ๋ชจ๋“  ๊ฒŒ์‹œ๋ฌผ๊ณผ ๋ถ€์ŠคํŠธ๋ฅผ ๋ฎคํŠธํ•ฉ๋‹ˆ๋‹ค." instanceMuteDescription2: "ํ•œ ์ค„์— ํ•˜๋‚˜์”ฉ ์ž…๋ ฅํ•ด ์ฃผ์„ธ์š”" - title: "์ง€์ •ํ•œ ์„œ๋ฒ„์˜ ๋…ธํŠธ๋ฅผ ์ˆจ๊น๋‹ˆ๋‹ค." + title: "์ง€์ •ํ•œ ์„œ๋ฒ„์˜ ๊ฒŒ์‹œ๋ฌผ์„ ์ˆจ๊น๋‹ˆ๋‹ค." heading: "๋ฎคํŠธํ•  ์„œ๋ฒ„" _theme: explore: "ํ…Œ๋งˆ ์ฐพ์•„๋ณด๊ธฐ" @@ -1747,7 +1746,7 @@ _notification: youGotMention: "{name}๋‹˜์ด ๋ฉ˜์…˜ํ•จ" youGotReply: "{name}๋‹˜์ด ๋‹ต๊ธ€ํ•จ" youGotQuote: "{name}๋‹˜์ด ์ธ์šฉํ•จ" - youRenoted: "{name}๋‹˜์ด Boost" + youRenoted: "{name}๋‹˜์˜ ๋ถ€์ŠคํŠธ" youGotPoll: "{name}๋‹˜์ด ํˆฌํ‘œํ•จ" youGotMessagingMessageFromUser: "{name} ๋‹˜์ด ๋ณด๋‚ธ ์ฑ„ํŒ…์ด ์žˆ์–ด์š”" youGotMessagingMessageFromGroup: "{name}์—์„œ ๋ณด๋‚ธ ์ฑ„ํŒ…์ด ์žˆ์–ด์š”" @@ -1824,7 +1823,7 @@ replayTutorial: ํŠœํ† ๋ฆฌ์–ผ ๋‹ค์‹œ ๋ณด๊ธฐ renoteMute: ๋ถ€์ŠคํŠธ ๋ฎคํŠธ antennaInstancesDescription: ์„œ๋ฒ„ ํ˜ธ์ŠคํŠธ๋ฅผ ํ•œ ์ค„์— ํ•˜๋‚˜์”ฉ ์ž…๋ ฅํ•˜์„ธ์š” userSaysSomethingReason: '{name} ๋‹˜์ด {reason}์— ๋Œ€ํ•ด ๋งํ–ˆ์Šต๋‹ˆ๋‹ค' -userSaysSomethingReasonQuote: '{name} ๋‹˜์ด {reason} ์„ ํฌํ•จํ•˜๋Š” ๋…ธํŠธ๋ฅผ ์ธ์šฉํ–ˆ์Šต๋‹ˆ๋‹ค' +userSaysSomethingReasonQuote: '{name} ๋‹˜์ด {reason} ์„ ํฌํ•จํ•˜๋Š” ๊ฒŒ์‹œ๋ฌผ์„ ์ธ์šฉํ–ˆ์Šต๋‹ˆ๋‹ค' pushNotification: ํ‘ธ์‹œ ์•Œ๋ฆผ channelFederationWarn: ํ˜„์žฌ ์ฑ„๋„์€ ๋‹ค๋ฅธ ์„œ๋ฒ„๋กœ ์—ฐํ•ฉ๋˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค enableServerMachineStats: ์„œ๋ฒ„์˜ ๋จธ์‹  ์ •๋ณด๋ฅผ ๊ณต๊ฐœ @@ -1836,7 +1835,7 @@ cannotUploadBecauseExceedsFileSizeLimit: ํŒŒ์ผ ํฌ๊ธฐ ์ œํ•œ์„ ์ดˆ๊ณผํ•˜์—ฌ pushNotificationNotSupported: ๋ธŒ๋ผ์šฐ์ € ๋ฐ ์„œ๋ฒ„๊ฐ€ ํ‘ธ์‹œ ์•Œ๋ฆผ์„ ์ง€์›ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค enableRecommendedTimeline: ์ถ”์ฒœ ํƒ€์ž„๋ผ์ธ์„ ํ™œ์„ฑํ™” pushNotificationAlreadySubscribed: ํ‘ธ์‹œ ์•Œ๋ฆผ์ด ํ™œ์„ฑํ™”๋˜์—ˆ์Šต๋‹ˆ๋‹ค -caption: ์ž๋™ ์บก์…˜ +caption: ์ž๋™์œผ๋กœ ์„ค๋ช… ๋ถ™์ด๊ธฐ findOtherInstance: ๋‹ค๋ฅธ ์„œ๋ฒ„ ๋‘˜๋Ÿฌ๋ณด๊ธฐ enableIdenticonGeneration: ์œ ์ € ๋ณ„ Identicon์˜ ์ƒ์„ฑ์„ ํ™œ์„ฑํ™” secureModeInfo: ์ธ์ฆ ์ •๋ณด๊ฐ€ ์—†๋Š” ๋ฆฌ๋ชจํŠธ ์„œ๋ฒ„๋กœ๋ถ€ํ„ฐ์˜ ์š”์ฒญ์— ์‘๋‹ตํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. @@ -1858,7 +1857,7 @@ customKaTeXMacroDescription: 'KaTeX ๋งคํฌ๋กœ๋ฅผ ์ง€์ •ํ•˜์—ฌ ์ˆ˜์‹์„ ๋”์šฑ ์‚ฌ์šฉํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค. ์˜ฌ๋ฐ”๋ฅด์ง€ ์•Š์€ ์ •์˜๋Š” ๋ฌด์‹œ๋ฉ๋‹ˆ๋‹ค. ๋ฌธ์ž์—ด์„ ์น˜ํ™˜ํ•˜๋Š” ์ˆ˜์ค€์—์„œ๋งŒ ์ง€์›ํ•˜๋ฉฐ, ์กฐ๊ฑด ๋ถ„๊ธฐ์™€ ๊ฐ™์€ ๊ณ ๋„์˜ ๊ตฌ๋ฌธ์€ ์‚ฌ์šฉํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.' reactionPickerSkinTone: ์„ ํ˜ธํ•˜๋Š” ์ด๋ชจ์ง€ ํ”ผ๋ถ€ ํ†ค selectInstance: ์„œ๋ฒ„ ์„ ํƒ -showAds: ๊ด‘๊ณ  ๋ณด์ด๊ธฐ +showAds: ์ปค๋ฎค๋‹ˆํ‹ฐ ๋ฐฐ๋„ˆ๋ฅผ ๋ณด์ด๊ธฐ searchPlaceholder: Firefish์—์„œ ๊ฒ€์ƒ‰ addInstance: ์„œ๋ฒ„ ์ถ”๊ฐ€ listsDesc: ๋ฆฌ์ŠคํŠธ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํŠน์ • ์œ ์ €๋กœ ์ด๋ฃจ์–ด์ง„ ํƒ€์ž„๋ผ์ธ์„ ๊ตฌ์„ฑํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋ฆฌ์ŠคํŠธ๋Š” 'ํƒ€์ž„๋ผ์ธ' ํŽ˜์ด์ง€์—์„œ ์ ‘๊ทผํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. @@ -1867,7 +1866,7 @@ showEmojisInReactionNotifications: ๋ฆฌ์•ก์…˜ ์•Œ๋ฆผ์— ์ด๋ชจ์ง€ ๋ณด์ด๊ธฐ hiddenTagsDescription: ํŠธ๋ Œ๋“œ์™€ '๋ฐœ๊ฒฌํ•˜๊ธฐ'์—์„œ ์ œ์™ธํ•  ํ•ด์‹œํƒœ๊ทธ๋ฅผ ('#'์„ ์ œ์™ธํ•˜๊ณ ) ํ•œ ์ค„์— ํ•˜๋‚˜์”ฉ ์ž…๋ ฅํ•˜์—ฌ ์ฃผ์‹ญ์‹œ์˜ค. ์ด ์„ค์ •์€ ํŠธ๋ Œ๋“œ์™€ '๋ฐœ๊ฒฌํ•˜๊ธฐ' ์™ธ์—๋Š” ์˜ํ–ฅ์„ ์ฃผ์ง€ ์•Š์Šต๋‹ˆ๋‹ค. antennasDesc: "์•ˆํ…Œ๋‚˜์—์„œ๋Š” ์กฐ๊ฑด์— ๋งž๋Š” ๊ฒŒ์‹œ๋ฌผ์ด ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค.\n'ํƒ€์ž„๋ผ์ธ' ํŽ˜์ด์ง€์—์„œ ์ ‘๊ทผํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค." -expandOnNoteClick: ๋…ธํŠธ๋ฅผ ํด๋ฆญํ•˜์—ฌ ์ž์„ธํžˆ ํ‘œ์‹œ +expandOnNoteClick: ๊ฒŒ์‹œ๋ฌผ์„ ํด๋ฆญํ•˜์—ฌ ์ž์„ธํžˆ ํ‘œ์‹œ expandOnNoteClickDesc: ๋น„ํ™œ์„ฑํ™”ํ•œ ๊ฒฝ์šฐ์—๋„ ์šฐํด๋ฆญ ๋ฉ”๋‰ด ๋˜๋Š” ํƒ€์ž„์Šคํƒฌํ”„๋ฅผ ํด๋ฆญํ•˜์—ฌ ์—ด ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. customMOTDDescription: ์œ ์ €๊ฐ€ ํŽ˜์ด์ง€๋ฅผ ๋กœ๋”ฉ/์ƒˆ๋กœ๊ณ ์นจํ•  ๋•Œ ๋งˆ๋‹ค ๋ฌด์ž‘์œ„๋กœ ํ‘œ์‹œํ•  ๋ฉ”์‹œ์ง€๋ฅผ ํ•œ ์ค„์— ํ•˜๋‚˜์”ฉ ์ž…๋ ฅํ•ฉ๋‹ˆ๋‹ค. moveFrom: ๋‹ค๋ฅธ ๊ณ„์ •์—์„œ ์ด ๊ณ„์ •์œผ๋กœ ์ด์‚ฌํ•˜๊ธฐ @@ -1887,7 +1886,7 @@ swipeOnDesktop: ๋ฐ์Šคํฌํ†ฑ์—์„œ๋„ ๋ชจ๋ฐ”์ผ๊ณผ ๊ฐ™์€ ์Šค์™€์ดํ”„๋ฅผ ์‚ฌ์šฉ migration: ๊ณ„์ • ์ด์‚ฌ moveTo: ์ด ๊ณ„์ •์—์„œ ์ƒˆ๋กœ์šด ๊ณ„์ •์œผ๋กœ ์ด์‚ฌ deleted: ์‚ญ์ œ๋จ -editNote: ๋…ธํŠธ ํŽธ์ง‘ +editNote: ๊ฒŒ์‹œ๋ฌผ ํŽธ์ง‘ edited: 'ํŽธ์ง๋จ: {date} {time}' customMOTD: ์‚ฌ์šฉ์ž ์ง€์ • MOTD (์Šคํ”Œ๋ž˜์‹œ ํ™”๋ฉด ๋ฉ”์‹œ์ง€) selectChannel: ์ฑ„๋„ ์„ ํƒ @@ -1896,14 +1895,14 @@ splash: ์Šคํ”Œ๋ž˜์‹œ ํ™”๋ฉด preventAiLearningDescription: ์—…๋กœ๋“œํ•œ ๊ฒŒ์‹œ๋ฌผ์ด๋‚˜ ๋ฏธ๋””์–ด๋ฅผ AI ๋ชจ๋ธ์ด ํ•™์Šตํ•˜์ง€ ๋ง๊ธฐ๋ฅผ ์š”๊ตฌํ•ฉ๋‹ˆ๋‹ค. isBot: ์ด ๊ณ„์ •์€ ๋ด‡์ž…๋‹ˆ๋‹ค isAdmin: ๊ด€๋ฆฌ์ž -newer: ์ƒˆ๋กœ์šด ๋…ธํŠธ -older: ์ด์ „ ๋…ธํŠธ +newer: ์ƒˆ๋กœ์šด ๊ฒŒ์‹œ๋ฌผ +older: ์ด์ „ ๊ฒŒ์‹œ๋ฌผ renoteUnmute: ๋ถ€์ŠคํŠธ ๋ฎคํŠธ ํ•ด์ œ accountMoved: '์ด ์œ ์ €๋Š” ๋‹ค๋ฅธ ๊ณ„์ •์œผ๋กœ ์ด์‚ฌํ–ˆ์Šต๋‹ˆ๋‹ค:' silencedInstances: ์‚ฌ์ผ๋Ÿฐ์Šคํ•œ ์„œ๋ฒ„ accessibility: ์ ‘๊ทผ์„ฑ -userSaysSomethingReasonReply: '{name} ๋‹˜์ด {reason} ์„ ํฌํ•จํ•˜๋Š” ๋…ธํŠธ์— ๋‹ต๊ธ€ํ–ˆ์Šต๋‹ˆ๋‹ค' -userSaysSomethingReasonRenote: '{name} ๋‹˜์ด {reason} ์„ ํฌํ•จํ•˜๋Š” ๋…ธํŠธ๋ฅผ ๋ถ€์ŠคํŠธํ–ˆ์Šต๋‹ˆ๋‹ค' +userSaysSomethingReasonReply: '{name} ๋‹˜์ด {reason} ์„ ํฌํ•จํ•˜๋Š” ๊ฒŒ์‹œ๋ฌผ์— ๋‹ต๊ธ€ํ–ˆ์Šต๋‹ˆ๋‹ค' +userSaysSomethingReasonRenote: '{name} ๋‹˜์ด {reason} ์„ ํฌํ•จํ•˜๋Š” ๊ฒŒ์‹œ๋ฌผ์„ ๋ถ€์ŠคํŠธํ–ˆ์Šต๋‹ˆ๋‹ค' breakFollowConfirm: ํŒ”๋กœ์›Œ๋ฅผ ํ•ด์ œํ•˜์‹œ๊ฒ ์Šต๋‹ˆ๊นŒ? indexFrom: ์ด ๊ฒŒ์‹œ๋ฌผ ID๋ถ€ํ„ฐ ์ธ๋ฑ์‹ฑํ•˜๊ธฐ noThankYou: ๊ดœ์ฐฎ์Šต๋‹ˆ๋‹ค @@ -1949,8 +1948,8 @@ silencedWarning: ๊ด€๋ฆฌ์ž๊ฐ€ ์‚ฌ์ผ๋Ÿฐ์Šคํ•œ ์„œ๋ฒ„์— ์†ํ•œ ์œ ์ €์ด๋ฉฐ, ์Šค isModerator: ๋ชจ๋”๋ ˆ์ดํ„ฐ isPatron: Firefish ํ›„์›์ž _experiments: - postImportsCaption: ์œ ์ €๊ฐ€ ๊ณผ๊ฑฐ์— ์ž‘์„ฑํ•œ ๊ฒŒ์‹œ๋ฌผ์„ Firefish(Firefish), Misskey, Mastodon, Akkoma, - Pleroma ๋“ฑ์—์„œ ๊ฐ€์ ธ์˜ฌ ์ˆ˜ ์žˆ๊ฒŒ ํ•ฉ๋‹ˆ๋‹ค. ์ž‘์—… ๋Œ€๊ธฐ์—ด์˜ ์ฒ˜๋ฆฌ ์†๋„๊ฐ€ ๋Š๋ฆด ๊ฒฝ์šฐ ์„œ๋น„์Šค์— ์˜ํ–ฅ์ด ๊ฐˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. + postImportsCaption: ์œ ์ €๊ฐ€ ๊ณผ๊ฑฐ์— ์ž‘์„ฑํ•œ ๊ฒŒ์‹œ๋ฌผ์„ Firefish, Misskey, Mastodon, Akkoma, Pleroma + ๋“ฑ์—์„œ ๊ฐ€์ ธ์˜ฌ ์ˆ˜ ์žˆ๊ฒŒ ํ•ฉ๋‹ˆ๋‹ค. ์ž‘์—… ๋Œ€๊ธฐ์—ด์˜ ์ฒ˜๋ฆฌ ์†๋„๊ฐ€ ๋Š๋ฆด ๊ฒฝ์šฐ ์„œ๋น„์Šค์— ์˜ํ–ฅ์ด ๊ฐˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. enablePostImports: ๊ฒŒ์‹œ๋ฌผ ๊ฐ€์ ธ์˜ค๊ธฐ๋ฅผ ํ™œ์„ฑํ™” title: ์‹คํ—˜์‹ค _messaging: @@ -1958,8 +1957,8 @@ _messaging: dms: ๊ฐœ์ธ ๋ฉ”์‹œ์ง€ _tutorial: title: Firefly์˜ ์‚ฌ์šฉ ๋ฐฉ๋ฒ• - step5_5: '{icon} ์†Œ์…œ ํƒ€์ž„๋ผ์ธ์€ ํ™ˆ ํƒ€์ž„๋ผ์ธ๊ณผ ์†Œ์…œ ํƒ€์ž„๋ผ์ธ์„ ํ•ฉ์นœ ๊ฒƒ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.' - step4_1: ์ฒซ ๋…ธํŠธ๋ฅผ ์˜ฌ๋ ค ๋ด…์‹œ๋‹ค. + step5_5: '{icon} ์†Œ์…œ ํƒ€์ž„๋ผ์ธ์€ ํ™ˆ ํƒ€์ž„๋ผ์ธ๊ณผ ๋กœ์ปฌ ํƒ€์ž„๋ผ์ธ์„ ํ•ฉ์นœ ๊ฒƒ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.' + step4_1: ์ฒซ ๊ธ€์„ ์˜ฌ๋ ค ๋ด…์‹œ๋‹ค. step5_3: '{icon} ํ™ˆ ํƒ€์ž„๋ผ์ธ์€ ๋‚ด๊ฐ€ ํŒ”๋กœ์šฐํ•˜๊ณ  ์žˆ๋Š” ๊ณ„์ •์˜ ๊ฒŒ์‹œ๋ฌผ์„ ๋ณผ ์ˆ˜ ์žˆ๋Š” ํƒ€์ž„๋ผ์ธ์ž…๋‹ˆ๋‹ค.' step6_2: ์ด ์„œ๋ฒ„์— ๊ฐ€์ž…์„ ๋งˆ์นœ ๋‹น์‹ ์€ ๋‹จ์ˆœํžˆ Firefish ์„œ๋ฒ„์˜ ์œ ์ €๊ฐ€ ์•„๋‹Œ, ์ˆ˜๋งŽ์€ ์„œ๋ฒ„๊ฐ€ ์„œ๋กœ ์ƒํ˜ธ์ž‘์šฉํ•˜๋Š” ์—ฐํ•ฉ์šฐ์ฃผ์— ์ฐธ๊ฐ€ํ•˜์‹œ๊ฒŒ ๋œ ๊ฒƒ์ž…๋‹ˆ๋‹ค. @@ -2003,3 +2002,17 @@ _feeds: _dialog: charactersExceeded: ๊ธ€์ž ์ˆ˜ ์ œํ•œ์„ ์ดˆ๊ณผํ–ˆ์Šต๋‹ˆ๋‹ค! ํ˜„์žฌ {current}์ž / ์ตœ๋Œ€ {max}์ž charactersBelow: ์ตœ์†Œ ๊ธ€์ž ์ˆ˜ ๋ณด๋‹ค ์ž‘์Šต๋‹ˆ๋‹ค! ํ˜„์žฌ {current}์ž / ์ตœ์†Œ {max}์ž +emojiPackCreator: ์ด๋ชจ์ง€ ํŒฉ ๋งŒ๋“ ์ด +objectStorageS3ForcePathStyleDesc: Endpoint URL์„ '.s3.amazonaws.com'๊ฐ€ ์•„๋‹Œ 's3.amazonaws.com//'์™€ + ๊ฐ™์€ ํ˜•์‹์œผ๋กœ ์‚ฌ์šฉํ•  ๊ฒฝ์šฐ์— ํ™œ์„ฑํ™”ํ•ด ์ฃผ์„ธ์š”. +confirm: ํ™•์ธ +importZip: ZIP์œผ๋กœ ๊ฐ€์ ธ์˜ค๊ธฐ +exportZip: ZIP์œผ๋กœ ๋‚ด๋ณด๋‚ด๊ธฐ +origin: ์›๋ณธ +objectStorageS3ForcePathStyle: ๊ฒฝ๋กœ ๊ธฐ๋ฐ˜ Endpoint URL์„ ์‚ฌ์šฉํ•˜๊ธฐ +delete2fa: 2FA๋ฅผ ๋น„ํ™œ์„ฑํ™” +delete2faConfirm: ์ด ๊ณ„์ •์—์„œ 2FA๋ฅผ ์˜๊ตฌํžˆ ์‚ญ์ œํ•ฉ๋‹ˆ๋‹ค. ๊ณ„์†ํ•˜์‹œ๊ฒ ์Šต๋‹ˆ๊นŒ? +deletePasskeys: ๋ณด์•ˆ ํ‚ค ์‚ญ์ œ +deletePasskeysConfirm: ์ด ๊ณ„์ •์—์„œ ๋ชจ๋“  ๋ณด์•ˆ ํ‚ค๋ฅผ ์˜๊ตฌํžˆ ์‚ญ์ œํ•ฉ๋‹ˆ๋‹ค. ๊ณ„์†ํ•˜์‹œ๊ฒ ์Šต๋‹ˆ๊นŒ? +inputNotMatch: ์ž…๋ ฅ์ด ์ผ์น˜ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค +addRe: ์—ด๋žŒ์ฃผ์˜๋กœ ํ‘œ์‹œ๋œ ๊ฒŒ์‹œ๋ฌผ์˜ ๋‹ต์žฅ์— 're:' ๋ถ™์ด๊ธฐ diff --git a/locales/pt-PT.yml b/locales/pt-PT.yml index 0a901ad255..574afa851f 100644 --- a/locales/pt-PT.yml +++ b/locales/pt-PT.yml @@ -1,7 +1,7 @@ ---- _lang_: "Portuguรชs" headlineFirefish: "Uma rede ligada por notas" -introFirefish: "Bem-vindo! Firefish รฉ um serviรงo de microblogue descentralizado de cรณdigo aberto.\nCria \"notas\" e partilha o que te ocorre com todos ร  tua volta. ๐Ÿ“ก\nCom \"reaรงรตes\" podes tambรฉm expressar logo o que sentes ร s notas de todos. ๐Ÿ‘\nExploremos um novo mundo! ๐Ÿš€" +introFirefish: "Bem-vindo! Firefish รฉ um serviรงo de microblogue descentralizado de + cรณdigo aberto, gratuito para sempre! ๐Ÿš€" monthAndDay: "{day}/{month}" search: "Buscar" notifications: "Notificaรงรตes" @@ -44,7 +44,8 @@ copyContent: "Copiar conteรบdos" copyLink: "Copiar hiperligaรงรฃo" delete: "Eliminar" deleteAndEdit: "Eliminar e editar" -deleteAndEditConfirm: "Tens a certeza que pretendes eliminar esta nota e editรก-la? Irรกs perder todas as suas reaรงรตes, renotas e respostas." +deleteAndEditConfirm: "Tens a certeza que pretendes eliminar esta nota e editรก-la? + Irรกs perder todas as suas reaรงรตes, renotas e respostas." addToList: "Adicionar a lista" sendMessage: "Enviar uma mensagem" copyUsername: "Copiar nome de utilizador" @@ -64,9 +65,11 @@ import: "Importar" export: "Exportar" files: "Ficheiros" download: "Descarregar" -driveFileDeleteConfirm: "Tens a certeza que pretendes apagar o ficheiro \"{name}\"? As notas que tenham este ficheiro anexado serรฃo tambรฉm apagadas." +driveFileDeleteConfirm: "Tens a certeza que pretendes apagar o ficheiro \"{name}\"\ + ? As notas que tenham este ficheiro anexado serรฃo tambรฉm apagadas." unfollowConfirm: "Tens a certeza que queres deixar de seguir {name}?" -exportRequested: "Pediste uma exportaรงรฃo. Este processo pode demorar algum tempo. Serรก adicionado ร  tua Drive apรณs a conclusรฃo do processo." +exportRequested: "Pediste uma exportaรงรฃo. Este processo pode demorar algum tempo. + Serรก adicionado ร  tua Drive apรณs a conclusรฃo do processo." importRequested: "Pediste uma importaรงรฃo. Este processo pode demorar algum tempo." lists: "Listas" noLists: "Nรฃo tens nenhuma lista" @@ -81,9 +84,12 @@ error: "Erro" somethingHappened: "Ocorreu um erro" retry: "Tentar novamente" pageLoadError: "Ocorreu um erro ao carregar a pรกgina." -pageLoadErrorDescription: "Isto รฉ normalmente causado por erros de rede ou pela cache do browser. Experimenta limpar a cache e tenta novamente apรณs algum tempo." -serverIsDead: "O servidor nรฃo estรก respondendo. Por favor espere um pouco e tente novamente." -youShouldUpgradeClient: "Para visualizar essa pรกgina, por favor recarregue-a para atualizar seu cliente." +pageLoadErrorDescription: "Isto รฉ normalmente causado por erros de rede ou pela cache + do browser. Experimenta limpar a cache e tenta novamente apรณs algum tempo." +serverIsDead: "O servidor nรฃo estรก respondendo. Por favor espere um pouco e tente + novamente." +youShouldUpgradeClient: "Para visualizar essa pรกgina, por favor recarregue-a para + atualizar seu cliente." enterListName: "Insira um nome para a lista" privacy: "Privacidade" makeFollowManuallyApprove: "Pedidos de seguimento precisam ser aprovados" @@ -108,7 +114,8 @@ sensitive: "Conteรบdo sensรญvel" add: "Adicionar" reaction: "Reaรงรตes" reactionSetting: "Quais reaรงรตes a mostrar no selecionador de reaรงรตes" -reactionSettingDescription2: "Arraste para reordenar, clique para excluir, pressione + para adicionar." +reactionSettingDescription2: "Arraste para reordenar, clique para excluir, pressione + + para adicionar." rememberNoteVisibility: "Lembrar das configuraรงรตes de visibilidade de notas" attachCancel: "Remover anexo" markAsSensitive: "Marcar como sensรญvel" @@ -137,13 +144,18 @@ emojiUrl: "URL do Emoji" addEmoji: "Adicionar um Emoji" settingGuide: "Guia de configuraรงรฃo" cacheRemoteFiles: "Memรณria transitรณria de arquivos remotos" -cacheRemoteFilesDescription: "Se vocรช desabilitar essa configuraรงรฃo, os arquivos remotos nรฃo serรฃo armazenados em memรณria transitรณria e serรฃo vinculados diretamente. Economiza o armazenamento do servidor, mas nรฃo gera miniaturas, o que aumenta o trรกfego." +cacheRemoteFilesDescription: "Se vocรช desabilitar essa configuraรงรฃo, os arquivos remotos + nรฃo serรฃo armazenados em memรณria transitรณria e serรฃo vinculados diretamente. Economiza + o armazenamento do servidor, mas nรฃo gera miniaturas, o que aumenta o trรกfego." flagAsBot: "Marcar conta como robรด" -flagAsBotDescription: "Se esta conta for operada por um programa, ative este sinalizador. Quando ativado, serve como um sinalizador para evitar o encadeamento de reaรงรตes para outros programadores, e o manuseio do sistema do Firefish รฉ adequado para โ€˜botsโ€™." +flagAsBotDescription: "Se esta conta for operada por um programa, ative este sinalizador. + Quando ativado, serve como um sinalizador para evitar o encadeamento de reaรงรตes + para outros programadores, e o manuseio do sistema do Firefish รฉ adequado para โ€˜botsโ€™." flagAsCat: "Marcar conta como gato" flagAsCatDescription: "Ative essa opรงรฃo para marcar essa conta como gato." flagShowTimelineReplies: "Mostrar respostas na linha de tempo" -flagShowTimelineRepliesDescription: "Quando ativado, a linha do tempo mostra as respostas ร s outras notas do utilizador, alรฉm da nota do utilizador." +flagShowTimelineRepliesDescription: "Quando ativado, a linha do tempo mostra as respostas + ร s outras notas do utilizador, alรฉm da nota do utilizador." autoAcceptFollowed: "Aprove automaticamente os seguidores dos seguintes utilizadores" addAccount: "Adicionar Conta" loginFailed: "Nรฃo consegui logar" @@ -156,7 +168,10 @@ searchWith: "Buscar: {q}" youHaveNoLists: "Nรฃo tem nenhuma lista" followConfirm: "Tem certeza que quer deixar de seguir {name}?" proxyAccount: "Conta proxy" -proxyAccountDescription: "Uma conta proxy รฉ uma conta que atua como seguidora remota para utilizadores sob determinadas condiรงรตes. Por exemplo, quando um utilizador lista um utilizador remoto, a atividade nรฃo serรก entregue ร  instรขncia, a menos que alguรฉm esteja seguindo o utilizador listado, portanto, a conta proxy deve seguir." +proxyAccountDescription: "Uma conta proxy รฉ uma conta que atua como seguidora remota + para utilizadores sob determinadas condiรงรตes. Por exemplo, quando um utilizador + lista um utilizador remoto, a atividade nรฃo serรก entregue ร  instรขncia, a menos que + alguรฉm esteja seguindo o utilizador listado, portanto, a conta proxy deve seguir." host: "hospedeiro" selectUser: "Selecionar utilizador" recipient: "Morada" @@ -186,11 +201,15 @@ instanceInfo: "Informaรงรตes da instรขncia" statistics: "Estatisticas" clearQueue: "Limpar a fila" clearQueueConfirmTitle: "Quer limpar a fila?" -clearQueueConfirmText: "Postagens nรฃo entregues nรฃo serรฃo mais entregues. Normalmente vocรช nรฃo precisa fazer isso." +clearQueueConfirmText: "Postagens nรฃo entregues nรฃo serรฃo mais entregues. Normalmente + vocรช nรฃo precisa fazer isso." clearCachedFiles: "Limpar memรณria transitรณria" -clearCachedFilesConfirm: "Tem certeza de que deseja excluir todos os arquivos remotos armazenados em memรณria transitรณria?" +clearCachedFilesConfirm: "Tem certeza de que deseja excluir todos os arquivos remotos + armazenados em memรณria transitรณria?" blockedInstances: "Instรขncia bloqueada" -blockedInstancesDescription: "Defina os anfitriรตes das instรขncias que deseja bloquear, separados por quebras de linha. Uma instรขncia bloqueada nรฃo poderรก interagir com esta instรขncia." +blockedInstancesDescription: "Defina os anfitriรตes das instรขncias que deseja bloquear, + separados por quebras de linha. Uma instรขncia bloqueada nรฃo poderรก interagir com + esta instรขncia." muteAndBlock: "Silenciar e bloquear" mutedUsers: "Silenciar utilizador" blockedUsers: "Utilizadores bloqueados" @@ -238,7 +257,9 @@ saved: "Salvo" messaging: "Chat" upload: "Enviando" keepOriginalUploading: "Manter a imagem original" -keepOriginalUploadingDescription: "Mantenha a versรฃo original ao carregar a imagem. Quando desligado, a imagem para publicaรงรฃo na web serรก gerada no navegador no momento do upload." +keepOriginalUploadingDescription: "Mantenha a versรฃo original ao carregar a imagem. + Quando desligado, a imagem para publicaรงรฃo na web serรก gerada no navegador no momento + do upload." fromDrive: "\nDa unidade" fromUrl: "Da URL" uploadFromUrl: "Carregamento de URL" @@ -262,8 +283,8 @@ yearsOld: "{age} anos" registeredDate: "Data de registro" location: "Lugar, colocar" theme: "tema" -themeForLightMode: "Temas usados โ€‹โ€‹no modo de luz" -themeForDarkMode: "Temas usados โ€‹โ€‹no modo escuro" +themeForLightMode: "Tema a usar no Modo Diurno" +themeForDarkMode: "Temas usados no Modo Noturno" light: "Claro" dark: "Escuro" lightThemes: "Tema claro" @@ -271,7 +292,7 @@ darkThemes: "Tema escuro" syncDeviceDarkMode: "Sincronize com o modo escuro do dispositivo" drive: "Unidades" fileName: "Nome do Ficheiro" -selectFile: "Selecione os arquivos" +selectFile: "Selecione o arquivo" selectFiles: "Selecione os arquivos" selectFolder: "Selecionar uma pasta" selectFolders: "Selecionar uma pasta" @@ -286,8 +307,9 @@ emptyFolder: "A pasta estรก vazia" unableToDelete: "Nรฃo รฉ possรญvel eliminar" inputNewFileName: "Por favor, digite um novo nome para a pasta!" inputNewDescription: "Insira uma nova legenda" -inputNewFolderName: "Por favor, digite um novo nome para a pasta!" -circularReferenceFolder: "A pasta de destino รฉ uma subpasta da pasta que vocรช deseja mover." +inputNewFolderName: "Por favor, digite um novo nome para a pasta" +circularReferenceFolder: "A pasta de destino รฉ uma subpasta da pasta que vocรช deseja + mover." hasChildFilesOrFolders: "Esta pasta nรฃo estรก vazia e nรฃo pode ser excluรญda." copyUrl: "Copiar URL" rename: "Renomear" @@ -321,7 +343,8 @@ connectService: "Conectar" disconnectService: "Desconectar" enableLocalTimeline: "Ativar linha do tempo local" enableGlobalTimeline: "Ativar linha do tempo global" -disablingTimelinesInfo: "Se vocรช desabilitar essas linhas do tempo, administradores e moderadores ainda poderรฃo usรก-las por conveniรชncia." +disablingTimelinesInfo: "Se vocรช desabilitar essas linhas do tempo, administradores + e moderadores ainda poderรฃo usรก-las por conveniรชncia." registration: "Registar" enableRegistration: "Permitir que qualquer pessoa se registre" invite: "Convidar" @@ -333,9 +356,11 @@ bannerUrl: "URL da imagem do โ€˜bannerโ€™" backgroundImageUrl: "URL da imagem de fundo" basicInfo: "Informaรงรตes bรกsicas" pinnedUsers: "Utilizador fixado" -pinnedUsersDescription: "Descreva os utilizadores que vocรช deseja fixar na pรกgina \"Localizar\", etc., separados por quebras de linha." +pinnedUsersDescription: "Descreva os utilizadores que vocรช deseja fixar na pรกgina + \"Localizar\", etc., separados por quebras de linha." pinnedPages: "Pรกgina fixada" -pinnedPagesDescription: "Descreva o caminho da pรกgina que vocรช deseja fixar na pรกgina superior da instรขncia, separada por quebras de linha." +pinnedPagesDescription: "Descreva o caminho da pรกgina que vocรช deseja fixar na pรกgina + superior da instรขncia, separada por quebras de linha." pinnedClipId: "ID do clipe a ser fixado" pinnedNotes: "Post fixado" hcaptcha: "hCaptcha" @@ -346,18 +371,21 @@ recaptcha: "reCAPTCHA" enableRecaptcha: "Habilitar reCAPTCHA" recaptchaSiteKey: "Chave do sรญtio โ€˜webโ€™" recaptchaSecretKey: "Chave secreta" -avoidMultiCaptchaConfirm: "O uso de vรกrios captchas pode causar interferรชncia. Deseja desativar outros captchas? Vocรช tambรฉm pode cancelar e deixar vรกrios captchas ativados." +avoidMultiCaptchaConfirm: "O uso de vรกrios captchas pode causar interferรชncia. Deseja + desativar outros captchas? Vocรช tambรฉm pode cancelar e deixar vรกrios captchas ativados." antennas: "Antenas" manageAntennas: "Gestรฃo de antena" name: "Nome" antennaSource: "Origem de entrada" antennaKeywords: "Palavras-chave recebidas" antennaExcludeKeywords: "Palavras-chave negativas" -antennaKeywordsDescription: "Se vocรช separรก-lo com um espaรงo, serรก uma especificaรงรฃo AND, e se vocรช separรก-lo com uma quebra de linha, serรก uma especificaรงรฃo OR." +antennaKeywordsDescription: "Se vocรช separรก-lo com um espaรงo, serรก uma especificaรงรฃo + AND, e se vocรช separรก-lo com uma quebra de linha, serรก uma especificaรงรฃo OR." notifyAntenna: "Notificar novas notas" withFileAntenna: "Apenas notas com arquivos anexados" enableServiceworker: "Ative as notificaรงรตes push para o seu navegador" -antennaUsersDescription: "Especificar nomes de utilizador separados por quebras de linha" +antennaUsersDescription: "Especificar nomes de utilizador separados por quebras de + linha" caseSensitive: "Maiรบsculas e minรบsculas" withReplies: "Incluindo resposta" connectedTo: "Vocรช estรก conectado ร  seguinte conta" @@ -433,15 +461,19 @@ showFeaturedNotesInTimeline: "Mostrar notas recomendadas na linha do tempo" objectStorage: "Armazenamento de objetos" useObjectStorage: "Usar armazenamento de objetos" objectStorageBaseUrl: "URL base" -objectStorageBaseUrlDesc: "O URL usado para referรชncia. Se vocรช estiver usando um CDN ou Proxy, seu URL, S3:'https: // .s3.amazonaws.com', GCS, etc .:'https://storage.googleapis.com/ ' ." +objectStorageBaseUrlDesc: "O URL usado para referรชncia. Se vocรช estiver usando um + CDN ou Proxy, seu URL, S3:'https: // .s3.amazonaws.com', GCS, etc .:'https://storage.googleapis.com/ + ' ." objectStorageBucket: "Bucket" objectStorageBucketDesc: "Especifique o nome do bucket do serviรงo a ser usado." objectStoragePrefix: "Prefixo" objectStoragePrefixDesc: "Ele รฉ armazenado neste diretรณrio de prefixo." objectStorageEndpoint: "Ponto final" -objectStorageEndpointDesc: "Especifique vazio para S3, caso contrรกrio, especifique o ponto final para cada serviรงo. Especifique como''ou': '." +objectStorageEndpointDesc: "Especifique vazio para S3, caso contrรกrio, especifique + o ponto final para cada serviรงo. Especifique como''ou': '." objectStorageRegion: "Regiรฃo" -objectStorageRegionDesc: "Especifique uma regiรฃo como 'xx-east-1'. Caso seu serviรงo nรฃo tenha o conceito de regiรฃo, ele deve estar vazio ou 'us-east-1'." +objectStorageRegionDesc: "Especifique uma regiรฃo como 'xx-east-1'. Caso seu serviรงo + nรฃo tenha o conceito de regiรฃo, ele deve estar vazio ou 'us-east-1'." objectStorageUseSSL: "Usar SSL" objectStorageUseSSLDesc: "Desative-o se nรฃo quiser usar https para conexรตes de API" objectStorageUseProxy: "Usar proxy" @@ -449,7 +481,8 @@ objectStorageUseProxyDesc: "Se vocรช nรฃo usa proxy para conexรฃo de API, desati objectStorageSetPublicRead: "Definir 'public-read' ao fazer o upload" serverLogs: "Registro do servidor" deleteAll: "Apagar Tudo" -showFixedPostForm: "Exibir o formulรกrio de postagem na parte superior da linha do tempo" +showFixedPostForm: "Exibir o formulรกrio de postagem na parte superior da linha do + tempo" newNoteRecived: "Nova nota recebida" sounds: "Sons" listen: "Ouvir" @@ -618,7 +651,8 @@ _pages: _dailyRannum: arg1: "Valor mรญnimo" arg2: "Valor mรกximo" - dailyRandomPick: "Escolher aleatoriamente de uma lista (Muda uma vez por dia para cada usuรกrio)" + dailyRandomPick: "Escolher aleatoriamente de uma lista (Muda uma vez por dia + para cada usuรกrio)" _dailyRandomPick: arg1: "Listas" seedRandom: "Aleatรณrio (com semente)" @@ -634,7 +668,8 @@ _pages: _seedRandomPick: arg1: "Semente" arg2: "Listas" - DRPWPM: "Escolher aleatoriamente de uma lista ponderada (Muda uma vez por dia para cada usuรกrio)" + DRPWPM: "Escolher aleatoriamente de uma lista ponderada (Muda uma vez por dia + para cada usuรกrio)" _DRPWPM: arg1: "Lista de texto" pick: "Escolhe a partir da lista" @@ -665,7 +700,8 @@ _pages: _for: arg1: "Nรบmero de repetiรงรตes" arg2: "Aรงรฃo" - typeError: "Espaรงo {slot} aceita valores de tipo \"{expect}\", mas o valor dado รฉ do tipo \"{actual}\"!" + typeError: "Espaรงo {slot} aceita valores de tipo \"{expect}\", mas o valor dado + รฉ do tipo \"{actual}\"!" thereIsEmptySlot: "O espaรงo {slot} estรก vazio!" types: string: "Texto" @@ -730,3 +766,5 @@ _deck: list: "Listas" mentions: "Menรงรตes" direct: "Notas diretas" +editNote: Editar post +edited: Editado a {date} ร s {time} diff --git a/locales/ru-RU.yml b/locales/ru-RU.yml index 926ab3003d..fada843e7a 100644 --- a/locales/ru-RU.yml +++ b/locales/ru-RU.yml @@ -2044,7 +2044,7 @@ cannotUploadBecauseExceedsFileSizeLimit: ะญั‚ะพั‚ ั„ะฐะนะป ะฝะต ะผะพะถะตั‚ ะฑั‹ apps: ะŸั€ะธะปะพะถะตะฝะธั silenceThisInstance: ะ—ะฐะณะปัƒัˆะธั‚ัŒ ัะตั€ะฒะตั€ silencedInstances: ะ—ะฐะณะปัƒัˆะตะฝะฝั‹ะต ัะตั€ะฒะตั€ั‹ -editNote: ะ ะตะดะฐะบั‚ะธั€ะพะฒะฐั‚ัŒ ะทะฐะผะตั‚ะบัƒ +editNote: ะ ะตะดะฐะบั‚ะธั€ะพะฒะฐั‚ัŒ ะฟะพัั‚ edited: 'ะ ะตะดะฐะบั‚ะธั€ะพะฒะฐะฝะพ ะฒ {date} {time}' deleted: ะฃะดะฐะปั‘ะฝะฝะพะต removeReaction: ะฃะดะฐะปะธั‚ัŒ ะฒะฐัˆัƒ ั€ะตะฐะบั†ะธัŽ diff --git a/locales/th-TH.yml b/locales/th-TH.yml index 3a81d28354..4d34471cae 100644 --- a/locales/th-TH.yml +++ b/locales/th-TH.yml @@ -1,22 +1,22 @@ ---- _lang_: "เธ เธฒเธฉเธฒเน„เธ—เธข" headlineFirefish: "เน€เธŠเธทเนˆเธญเธกเธ•เนˆเธญเน€เธ„เธฃเธทเธญเธ‚เนˆเธฒเธขเน‚เธ”เธขเน‚เธ™เน‰เธ•" -introFirefish: "เธขเธดเธ™เธ”เธตเธ•เน‰เธญเธ™เธฃเธฑเธšเธˆเน‰เธฒเธฒเธฒ! Firefish เน€เธ›เน‡เธ™เธšเธฃเธดเธเธฒเธฃเน„เธกเน‚เธ„เธฃเธšเธฅเน‡เธญเธเน‚เธญเน€เธžเนˆเธ™เธ‹เธญเธฃเนŒเธช เนเธšเธšเธเธฒเธฃเธเธฃเธฐเธˆเธฒเธขเธญเธณเธ™เธฒเธˆ\nเธชเธฃเน‰เธฒเธ‡ \"เน‚เธ™เน‰เธ•\" เน€เธžเธทเนˆเธญเนเธšเนˆเธ‡เธ›เธฑเธ™เธ„เธงเธฒเธกเธ„เธดเธ”เธ‚เธญเธ‡เธ„เธธเธ“เธเธฑเธšเธ—เธธเธเธ„เธ™เธฃเธญเธšเธ•เธฑเธงเธ„เธธเธ“เธเธฑเธ™เน€เธ–เธญเธฐ ๐Ÿ“ก\nเธ”เน‰เธงเธขเธเธฒเธฃ \"เธฃเธตเนเธญเธ„เธŠเธฑเนˆเธ™เธœเธนเน‰เธ„เธ™\" เธ„เธธเธ“เธขเธฑเธ‡เธชเธฒเธกเธฒเธฃเธ–เนเธชเธ”เธ‡เธ„เธงเธฒเธกเธฃเธนเน‰เธชเธถเธเธ‚เธญเธ‡เธ„เธธเธ“เน€เธเธตเนˆเธขเธงเธเธฑเธšเธšเธฑเธ™เธ—เธถเธเธ‚เธญเธ‡เธ—เธธเธเธ„เธ™เน„เธ”เน‰เธญเธขเนˆเธฒเธ‡เธฃเธงเธ”เน€เธฃเน‡เธง ๐Ÿ‘\n\nเนเธฅเน‰เธงเธกเธฒเธ—เนˆเธญเธ‡เธชเธณเธฃเธงเธˆเน‚เธฅเธเนƒเธšเนƒเธซเธกเนˆเธเธฑเธ™เน€เธ–เธญเธฐ! ๐Ÿš€" +introFirefish: "เธขเธดเธ™เธ”เธตเธ•เน‰เธญเธ™เธฃเธฑเธšเธ„เนˆเธฐ/เธ„เธฃเธฑเธš! Firefish เน€เธ›เน‡เธ™เนเธžเธฅเธ•เธŸเธญเธฃเนŒเธกเน‚เธ‹เน€เธŠเธตเธขเธฅเธกเธตเน€เธ”เธตเธขเนเธšเธšเน‚เธญเน€เธžเนˆเธ™เธ‹เธญเธฃเนŒเธชเธ—เธตเนˆเธกเธตเธเธฒเธฃเธเธฃเธฐเธˆเธฒเธขเธญเธณเธ™เธฒเธˆเธ‹เธถเนˆเธ‡เนƒเธซเน‰เธšเธฃเธดเธเธฒเธฃเธŸเธฃเธตเธ•เธฅเธญเธ”เน„เธ›! + ๐Ÿš€" monthAndDay: "{เน€เธ”เธทเธญเธ™}/{เธงเธฑเธ™}" search: "เธ„เน‰เธ™เธซเธฒ" notifications: "เธเธฒเธฃเน€เน€เธˆเน‰เธ‡เน€เธ•เธทเธญเธ™" username: "เธŠเธทเนˆเธญเธœเธนเน‰เนƒเธŠเน‰" password: "เธฃเธซเธฑเธชเธœเนˆเธฒเธ™" -forgotPassword: "เธฅเธทเธกเธฃเธซเธฑเธชเธœเนˆเธฒเธ™?" +forgotPassword: "เธฅเธทเธกเธฃเธซเธฑเธชเธœเนˆเธฒเธ™เธญเนˆเธฐ" fetchingAsApObject: "เธเธณเธฅเธฑเธ‡เธ”เธถเธ‡เธ‚เน‰เธญเธกเธนเธฅ เธˆเธฒเธ เน€เธŸเธ”เธดเน€เธงเธดเธฃเนŒเธช" ok: "เธ•เธเธฅเธ‡" gotIt: "เน€เธ‚เน‰เธฒเนƒเธˆเนเธฅเน‰เธง !" cancel: "เธขเธเน€เธฅเธดเธ" enterUsername: "เนƒเธชเนˆเธŠเธทเนˆเธญเธœเธนเน‰เนƒเธŠเน‰" -renotedBy: "เธฃเธตเน‚เธ™เน‰เธ•เน‚เธ”เธข {เธœเธนเน‰เนƒเธŠเน‰}" -noNotes: "เน„เธกเนˆเธกเธตเน‚เธ™เน‰เธ•" +renotedBy: "เธšเธนเธ•เน€เธ•เธญเธฃเนŒเน‚เธ”เธข {user}" +noNotes: "เน„เธกเนˆเธกเธตเน‚เธžเธชเธ•เนŒ" noNotifications: "เน„เธกเนˆเธกเธตเธเธฒเธฃเนเธˆเน‰เธ‡เน€เธ•เธทเธญเธ™" -instance: "เธ•เธฑเธงเธญเธขเนˆเธฒเธ‡" +instance: "เน€เธ‹เธดเธŸเน€เธงเธญเธฃเนŒ" settings: "เธเธฒเธฃเธ•เธฑเน‰เธ‡เธ„เนˆเธฒ" basicSettings: "เธเธฒเธฃเธ•เธฑเน‰เธ‡เธ„เนˆเธฒเธžเธทเน‰เธ™เธเธฒเธ™" otherSettings: "เธเธฒเธฃเธ•เธฑเน‰เธ‡เธ„เนˆเธฒเธญเธทเนˆเธ™เน†" @@ -44,7 +44,8 @@ copyContent: "เธ„เธฑเธ”เธฅเธญเธเน€เธ™เธทเน‰เธญเธซเธฒ" copyLink: "เธ„เธฑเธ”เธฅเธญเธเธฅเธดเธ‡เธเนŒ" delete: "เธฅเธš" deleteAndEdit: "เธฅเธšเนเธฅเธฐเนเธเน‰เน„เธ‚" -deleteAndEditConfirm: "เธ™เธฒเธขเนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเน€เธซเธฃเธญ? เธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธฅเธšเน‚เธ™เน‰เธ•เธ™เธตเน‰เนเธฅเธฐเนเธเน‰เน„เธ‚ เธ„เธธเธ“เธญเธฒเธˆเธˆเธฐเธชเธนเธเน€เธชเธตเธขเธเธฒเธฃเน‚เธ•เน‰เธ•เธญเธš, เน‚เธ™เน‰เธ•, เนเธฅเธฐเธเธฒเธฃเธ•เธญเธšเธเธฅเธฑเธšเธ—เธฑเน‰เธ‡เธซเธกเธ”เน„เธ”เน‰เธ™เธฐ" +deleteAndEditConfirm: "เธ„เธธเธ“เนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเน€เธซเธฃเธญเธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธฅเธšเน‚เธžเธชเธ•เนŒเธ™เธตเน‰เนเธฅเธฐเนเธเน‰เน„เธ‚? เธ„เธธเธ“เธญเธฒเธˆเธˆเธฐเธชเธนเธเน€เธชเธตเธขเธเธฒเธฃเน‚เธ•เน‰เธ•เธญเธš, + เน‚เธžเธชเธ•เนŒ, เนเธฅเธฐเธเธฒเธฃเธ•เธญเธšเธเธฅเธฑเธšเธ—เธฑเน‰เธ‡เธซเธกเธ”เน„เธ”เน‰เธ™เธฐ" addToList: "เน€เธžเธดเนˆเธกเนƒเธ™เธฅเธดเธชเธ•เนŒ" sendMessage: "เธชเนˆเธ‡เธ‚เน‰เธญเธ„เธงเธฒเธก" copyUsername: "เธ„เธฑเธ”เธฅเธญเธเธŠเธทเนˆเธญเธœเธนเน‰เนƒเธŠเน‰" @@ -58,30 +59,31 @@ receiveFollowRequest: "เธ„เธณเธ‚เธญเธœเธนเน‰เธ•เธดเธ”เธ•เธฒเธกเธ—เธตเนˆเน„เธ”เน‰ followRequestAccepted: "เธœเธนเน‰เธ•เธดเธ”เธ•เธฒเธกเน„เธ”เน‰เธ•เธญเธšเธฃเธฑเธšเธ„เธณเธ‚เธญเธฃเน‰เธญเธ‡เธ‚เธญเธ‡เธ„เธธเธ“เนเธฅเน‰เธง" mention: "เธเธฅเนˆเธฒเธงเธ–เธถเธ‡" mentions: "เธžเธนเธ”เธ–เธถเธ‡" -directNotes: "เน„เธ”เน€เธฃเน‡เธ„เน‚เธ™เน‰เธ•" +directNotes: "เน„เธ”เน€เธฃเน‡เธ„เธ‚เน‰เธญเธ„เธงเธฒเธก" importAndExport: "เธ™เธณเน€เธ‚เน‰เธฒ / เธชเนˆเธ‡เธญเธญเธ" import: "เธเธฒเธฃเธ™เธณเน€เธ‚เน‰เธฒ" export: "เธเธฒเธฃเธ™เธณเธญเธญเธ" files: "เน„เธŸเธฅเนŒ" download: "เธ”เธฒเธงเธ™เนŒเน‚เธซเธฅเธ”" -driveFileDeleteConfirm: "เธ™เธฒเธขเนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเธซเธฃเธญ? เธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธฅเธšเน„เธŸเธฅเนŒ \"{name}\" เน‚เธ™เน‰เธ•เธขเนˆเธญเธ—เธตเนˆเนเธ™เธšเธกเธฒเธเธฑเธšเน„เธŸเธฅเนŒเธ™เธตเน‰เธเน‡เธˆเธฐเธ–เธนเธเธฅเธšเธ”เน‰เธงเธขเธ™เธฐ" -unfollowConfirm: "เธ™เธฒเธขเนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเธซเธฃเธญเธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเน€เธฅเธดเธเธ•เธดเธ”เธ•เธฒเธก {name}?" +driveFileDeleteConfirm: "เธ„เธธเธ“เนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเธซเธฃเธญเธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธฅเธšเน„เธŸเธฅเนŒ \"{name}\"? เน‚เธžเธชเธ•เนŒเธขเนˆเธญเธ—เธตเนˆเนเธ™เธšเธกเธฒเธเธฑเธšเน„เธŸเธฅเนŒเธ™เธตเน‰เธเน‡เธˆเธฐเธ–เธนเธเธฅเธšเธ”เน‰เธงเธขเธ™เธฐ" +unfollowConfirm: "เธ„เธธเธ“เนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเธซเธฃเธญเธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเน€เธฅเธดเธเธ•เธดเธ”เธ•เธฒเธก {name}?" exportRequested: "เน€เธกเธทเนˆเธญเธ„เธธเธ“เน„เธ”เน‰เธฃเน‰เธญเธ‡เธ‚เธญเธเธฒเธฃเธชเนˆเธ‡เธญเธญเธ เธญเธฒเธˆเธˆเธฐเธ•เน‰เธญเธ‡เนƒเธŠเน‰เน€เธงเธฅเธฒเธชเธฑเธเธ„เธฃเธนเนˆ เนเธฅเธฐเธˆเธฐเธ–เธนเธเน€เธžเธดเนˆเธกเนƒเธ™เน„เธ”เธฃเธŸเนŒเธ‚เธญเธ‡เธ„เธธเธ“เน€เธกเธทเนˆเธญเน€เธชเธฃเน‡เธˆเธชเธดเน‰เธ™เนเธฅเน‰เธง" importRequested: "เน€เธกเธทเนˆเธญเธ„เธธเธ“เน„เธ”เน‰เธฃเน‰เธญเธ‡เธ‚เธญเธเธฒเธฃเธ™เธณเน€เธ‚เน‰เธฒ เธญเธฒเธˆเธˆเธฐเธ•เน‰เธญเธ‡เนƒเธŠเน‰เน€เธงเธฅเธฒเธชเธฑเธเธ„เธฃเธนเนˆเธ™เธฐ" lists: "เธฃเธฒเธขเธเธฒเธฃ" noLists: "เธ„เธธเธ“เน„เธกเนˆเธกเธตเธฅเธดเธชเธ•เนŒเนƒเธ”เน†เธ™เธฐ" -note: "เธ•เธฑเธงเน‚เธ™เน‰เธ•" -notes: "เธซเธกเธฒเธขเน€เธซเธ•เธธ" +note: "เน‚เธžเธชเธ•เนŒ" +notes: "เน‚เธžเธชเธ•เนŒ" following: "เธเธณเธฅเธฑเธ‡เธ•เธดเธ”เธ•เธฒเธก" followers: "เธœเธนเน‰เธ•เธดเธ”เธ•เธฒเธก" followsYou: "เธ•เธดเธ”เธ•เธฒเธกเธ„เธธเธ“" createList: "เธชเธฃเน‰เธฒเธ‡เธฅเธดเธชเธ•เนŒ" manageLists: "เธˆเธฑเธ”เธเธฒเธฃเธฅเธดเธชเธ•เนŒ" -error: "เธœเธดเธ”เธžเธฅเธฒเธ”!" +error: "เธœเธดเธ”เธžเธฅเธฒเธ”" somethingHappened: "เธญเธธเนŠเธข ! เธกเธตเธญเธฐเน„เธฃเธšเธฒเธ‡เธญเธขเนˆเธฒเธ‡เธœเธดเธ”เธžเธฅเธฒเธ”" retry: "เธฅเธญเธ‡เนƒเธซเธกเนˆเธญเธตเธเธ„เธฃเธฑเน‰เธ‡" pageLoadError: "เน€เธเธดเธ”เธ‚เน‰เธญเธœเธดเธ”เธžเธฅเธฒเธ”เนƒเธ™เธเธฒเธฃเน‚เธซเธฅเธ”เธซเธ™เน‰เธฒเธ™เธตเน‰" -pageLoadErrorDescription: "เน‚เธ”เธขเธ›เธเธ•เธดเนเธฅเน‰เธงเธกเธฑเธเธˆเธฐเน€เธเธดเธ”เธˆเธฒเธเธ‚เน‰เธญเธœเธดเธ”เธžเธฅเธฒเธ”เธ‚เธญเธ‡เน€เธ„เธฃเธทเธญเธ‚เนˆเธฒเธขเธซเธฃเธทเธญเนเธ„เธŠเธ‚เธญเธ‡เน€เธšเธฃเธฒเธงเนŒเน€เธ‹เธญเธฃเนŒ เธฅเธญเธ‡เธฅเน‰เธฒเธ‡เนเธ„เธŠเนเธฅเน‰เธงเธฅเธญเธ‡เนƒเธซเธกเนˆเธญเธตเธเธ„เธฃเธฑเน‰เธ‡เธซเธฅเธฑเธ‡เธˆเธฒเธเธฃเธญเธชเธฑเธเธ„เธฃเธนเนˆ " +pageLoadErrorDescription: "เน‚เธ”เธขเธ›เธเธ•เธดเนเธฅเน‰เธงเธกเธฑเธเธˆเธฐเน€เธเธดเธ”เธˆเธฒเธเธ‚เน‰เธญเธœเธดเธ”เธžเธฅเธฒเธ”เธ‚เธญเธ‡เน€เธ„เธฃเธทเธญเธ‚เนˆเธฒเธขเธซเธฃเธทเธญเนเธ„เธŠเธ‚เธญเธ‡เน€เธšเธฃเธฒเธงเนŒเน€เธ‹เธญเธฃเนŒ + เธฅเธญเธ‡เธฅเน‰เธฒเธ‡เนเธ„เธŠเนเธฅเน‰เธงเธฅเธญเธ‡เนƒเธซเธกเนˆเธญเธตเธเธ„เธฃเธฑเน‰เธ‡เธซเธฅเธฑเธ‡เธˆเธฒเธเธฃเธญเธชเธฑเธเธ„เธฃเธนเนˆเธ™เธฐ" serverIsDead: "เน€เธ‹เธดเธฃเนŒเธŸเน€เธงเธญเธฃเนŒเธ™เธตเน‰เน„เธกเนˆเธกเธตเธเธฒเธฃเธ•เธญเธšเธชเธ™เธญเธ‡ เน„เธ”เน‰เน‚เธ›เธฃเธ”เธเธฃเธธเธ“เธฒเธฃเธญเธชเธฑเธเธ„เธฃเธนเนˆเนเธฅเน‰เธงเธฅเธญเธ‡เนƒเธซเธกเนˆเธญเธตเธเธ„เธฃเธฑเน‰เธ‡เธ™เธฐ" youShouldUpgradeClient: "เธซเธฒเธเธ•เน‰เธญเธ‡เธเธฒเธฃเธ”เธนเธซเธ™เน‰เธฒเธ™เธตเน‰เน„เธ”เน‰เน‚เธ›เธฃเธ”เธเธฃเธธเธ“เธฒ เธฃเธตเน€เธ‹เน‡เธ•เน€เธžเธทเนˆเธญเธญเธฑเธ›เน€เธ”เธ•เน„เธ„เธฅเน€เธญเน‡เธ™เธ•เนŒเธ‚เธญเธ‡เธ„เธธเธ“เธ™เธฐ" enterListName: "เนƒเธชเนˆเธŠเธทเนˆเธญเธชเธณเธซเธฃเธฑเธšเธฃเธฒเธขเธเธฒเธฃเธฅเธดเธชเธ•เนŒ" @@ -89,18 +91,18 @@ privacy: "เธ„เธงเธฒเธกเน€เธ›เน‡เธ™เธชเนˆเธงเธ™เธ•เธฑเธง" makeFollowManuallyApprove: "เธ•เธดเธ”เธ•เธฒเธกเธ„เธณเธ‚เธญเธ—เธตเนˆเธ•เน‰เธญเธ‡เน„เธ”เน‰เธฃเธฑเธšเธเธฒเธฃเธญเธ™เธธเธกเธฑเธ•เธด" defaultNoteVisibility: "เธเธฒเธฃเธกเธญเธ‡เน€เธซเน‡เธ™เธ—เธตเนˆเน€เธ›เน‡เธ™เธ„เนˆเธฒเน€เธฃเธดเนˆเธกเธ•เน‰เธ™" follow: "เธเธณเธฅเธฑเธ‡เธ•เธดเธ”เธ•เธฒเธก" -followRequest: "เธชเนˆเธ‡เธ„เธณเธ‚เธญเธ•เธดเธ”เธ•เธฒเธก" +followRequest: "เธ„เธณเธ‚เธญเธ•เธดเธ”เธ•เธฒเธก" followRequests: "เธ•เธดเธ”เธ•เธฒเธกเธเธฒเธฃเธฃเน‰เธญเธ‡เธ‚เธญ" unfollow: "เน€เธฅเธดเธเธ•เธดเธ”เธ•เธฒเธก" followRequestPending: "เธเธณเธฅเธฑเธ‡เธฃเธญเธ”เธณเน€เธ™เธดเธ™เธเธฒเธฃเธฃเน‰เธญเธ‡เธ‚เธญเธ•เธดเธ”เธ•เธฒเธก" enterEmoji: "เนƒเธชเนˆเธญเธตเน‚เธกเธˆเธด" -renote: "เธฃเธตเน‚เธ™เน‰เธ•" -unrenote: "เน€เธฅเธดเธเธฃเธตเน‚เธ™เน‰เธ•" -renoted: "เธฃเธตเน‚เธ™เน‰เธ•เน€เธญเธฒเน„เธงเน‰" -cantRenote: "เน‚เธžเธชเธ•เนŒเธ™เธตเน‰เน„เธกเนˆเธชเธฒเธกเธฒเธฃเธ–เธฃเธตเน‚เธ™เน‰เธ•เน„เธงเน‰เนƒเธซเธกเนˆเน„เธ”เน‰เธ™เธฐ" -cantReRenote: "เน„เธกเนˆเธชเธฒเธกเธฒเธฃเธ–เธฃเธตเน‚เธ™เน‰เธ•เน€เธญเธฒเน„เธงเน‰เนƒเธซเธกเนˆเน„เธ”เน‰เธ™เธฐ" +renote: "เธšเธนเธชเธ•เนŒ" +unrenote: "เน€เธฅเธดเธเธšเธนเธชเธ•เนŒ" +renoted: "เธšเธนเธชเธ•เนŒเนเธฅเน‰เธง" +cantRenote: "เน‚เธžเธชเธ•เนŒเธ™เธตเน‰เน„เธกเนˆเธชเธฒเธกเธฒเธฃเธ–เธšเธนเธชเธ•เนŒเนƒเธซเธกเนˆเน„เธ”เน‰" +cantReRenote: "เน„เธกเนˆเธชเธฒเธกเธฒเธฃเธ–เธšเธนเธชเธ•เนŒเน„เธงเน‰เนƒเธซเธกเนˆเน„เธ”เน‰" quote: "เธญเน‰เธฒเธ‡เธ„เธณเธžเธนเธ”" -pinnedNote: "เน‚เธ™เน‰เธ•เธ—เธตเนˆเธ›เธฑเธเธซเธกเธธเธ”เน€เธญเธฒเน„เธงเน‰" +pinnedNote: "เน‚เธžเธชเธ•เนŒเธ—เธตเนˆเธ›เธฑเธเธซเธกเธธเธ”เนเธฅเน‰เธง" pinned: "เธ›เธฑเธเธซเธกเธธเธ”เน„เธ›เธขเธฑเธ‡เน‚เธ›เธฃเน„เธŸเธฅเนŒ" you: "เธ•เธฑเธงเน€เธญเธ‡" clickToShow: "เธ„เธฅเธดเธเน€เธžเธทเนˆเธญเนเธชเธ”เธ‡" @@ -109,7 +111,7 @@ add: "เน€เธžเธดเนˆเธก" reaction: "เธฃเธตเนเธญเธ„เธŠเธฑเนˆเธ™" reactionSetting: "เธฃเธตเนเธญเธ„เธŠเธฑเนˆเธ™เน„เธ›เธขเธฑเธ‡เนเธชเธ”เธ‡เธœเธฅเนƒเธ™เธ•เธฑเธงเน€เธฅเธทเธญเธเธเธฒเธฃเธฃเธตเนเธญเธ„เธŠเธฑเนˆเธ™" reactionSettingDescription2: "เธเธ”เธฅเธฒเธเน€เธžเธทเนˆเธญเธˆเธฑเธ”เธฅเธณเธ”เธฑเธšเนƒเธซเธกเนˆ เธเธ”เธ„เธฅเธดเธเน€เธžเธทเนˆเธญเธฅเธš เธเธ” \"+\" เน€เธžเธทเนˆเธญเน€เธžเธดเนˆเธก" -rememberNoteVisibility: "เธˆเธ”เธˆเธณเธเธฒเธฃเธ•เธฑเน‰เธ‡เธ„เนˆเธฒเธเธฒเธฃเธกเธญเธ‡เน€เธซเน‡เธ™เธ•เธฑเธงเน‚เธ™เน‰เธ•" +rememberNoteVisibility: "เธˆเธ”เธˆเธณเธเธฒเธฃเธ•เธฑเน‰เธ‡เธ„เนˆเธฒเธเธฒเธฃเธกเธญเธ‡เน€เธซเน‡เธ™เน‚เธžเธชเธ•เนŒ" attachCancel: "เธฅเธšเน„เธŸเธฅเนŒเธญเธญเธเธ—เธตเนˆเนเธ™เธšเธกเธฒ" markAsSensitive: "เธ—เธณเน€เธ„เธฃเธทเนˆเธญเธ‡เธซเธกเธฒเธขเธงเนˆเธฒเธฅเธฐเน€เธญเธตเธขเธ”เธญเนˆเธญเธ™" unmarkAsSensitive: "เธขเธเน€เธฅเธดเธเธ—เธณเน€เธ„เธฃเธทเนˆเธญเธ‡เธซเธกเธฒเธขเน€เธ›เน‡เธ™ NSFW" @@ -120,11 +122,11 @@ block: "เธšเธฅเน‡เธญเธ„" unblock: "เน€เธฅเธดเธเธ›เธดเธ”เธเธฑเน‰เธ™" suspend: "เธ–เธนเธเธฃเธฐเธ‡เธฑเธš" unsuspend: "เธขเธเน€เธฅเธดเธเธฃเธฐเธ‡เธฑเธš" -blockConfirm: "เธ„เธธเธ“เนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเน€เธซเธฃเธญ? เธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธšเธฅเน‡เธญเธเธšเธฑเธเธŠเธตเธ™เธตเน‰" -unblockConfirm: "เธ„เธธเธ“เนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเน€เธซเธฃเธญ? เธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธ›เธฅเธ”เธšเธฅเน‡เธญเธ„เธšเธฑเธเธŠเธตเธ™เธตเน‰" -suspendConfirm: "เธ™เธฒเธขเนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเน€เธซเธฃเธญเธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธฃเธฐเธ‡เธฑเธšเธšเธฑเธเธŠเธตเธ™เธตเน‰เธญเนˆเธฐ?" -unsuspendConfirm: "เธ™เธฒเธขเนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเธซเธฃเธญ? เธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธขเธเน€เธฅเธดเธเธเธฒเธฃเธฃเธฐเธ‡เธฑเธšเธšเธฑเธเธŠเธตเธ™เธตเน‰" -selectList: "เน€เธฅเธทเธญเธเธฃเธฒเธขเธเธฒเธฃ (Automatic Translation)" +blockConfirm: "เธ„เธธเธ“เนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเน€เธซเธฃเธญ เธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธšเธฅเน‡เธญเธเธšเธฑเธเธŠเธตเธ™เธตเน‰?" +unblockConfirm: "เธ„เธธเธ“เนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเน€เธซเธฃเธญ เธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธ›เธฅเธ”เธšเธฅเน‡เธญเธ„เธšเธฑเธเธŠเธตเธ™เธตเน‰?" +suspendConfirm: "เธ„เธธเธ“เนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเน€เธซเธฃเธญเธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธฃเธฐเธ‡เธฑเธšเธšเธฑเธเธŠเธตเธ™เธตเน‰เธญเนˆเธฐ?" +unsuspendConfirm: "เธ„เธธเธ“เนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเธซเธฃเธญเธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธขเธเน€เธฅเธดเธเธเธฒเธฃเธฃเธฐเธ‡เธฑเธšเธšเธฑเธเธŠเธตเธ™เธตเน‰?" +selectList: "เน€เธฅเธทเธญเธเธฃเธฒเธขเธเธฒเธฃ" selectAntenna: "เน€เธฅเธทเธญเธเน€เธชเธฒเธญเธฒเธเธฒเธจ" selectWidget: "เน€เธฅเธทเธญเธเธงเธดเธ”เน€เธˆเน‡เธ•" editWidgets: "เนเธเน‰เน„เธ‚เธงเธดเธ”เน€เธˆเน‡เธ•" @@ -137,13 +139,17 @@ emojiUrl: "เธญเธดเน‚เธกเธˆเธด URL" addEmoji: "เนเธ—เธฃเธเธญเธตเน‚เธกเธˆเธด" settingGuide: "เธเธฒเธฃเธ•เธฑเน‰เธ‡เธ„เนˆเธฒเธ—เธตเนˆเนเธ™เธฐเธ™เธณ" cacheRemoteFiles: "เนเธ„เธŠเน„เธŸเธฅเนŒเธฃเธฐเธขเธฐเน„เธเธฅ" -cacheRemoteFilesDescription: "เน€เธกเธทเนˆเธญเธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™เธเธฒเธฃเธ•เธฑเน‰เธ‡เธ„เนˆเธฒเธ™เธตเน‰ เน„เธŸเธฅเนŒเธฃเธฐเธขเธฐเน„เธเธฅเธ™เธฑเน‰เธ™เธˆเธฐเธ–เธนเธเน‚เธซเธฅเธ”เน‚เธ”เธขเธ•เธฃเธ‡เธˆเธฒเธเธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒเธฃเธฐเธขเธฐเน„เธเธฅ เนเธ•เนˆเธเธฃเธ“เธตเธเธฒเธฃเธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™เธ™เธตเน‰เธˆเธฐเธŠเนˆเธงเธขเธฅเธ”เธ›เธฃเธดเธกเธฒเธ“เธเธฒเธฃเนƒเธŠเน‰เธžเธทเน‰เธ™เธ—เธตเนˆเธˆเธฑเธ”เน€เธเน‡เธšเธ‚เน‰เธญเธกเธนเธฅ เนเธ•เนˆเน€เธžเธดเนˆเธกเธ›เธฃเธดเธกเธฒเธ“เธเธฒเธฃเนƒเธŠเน‰เธ‡เธฒเธ™ เน€เธžเธฃเธฒเธฐเน€เธ™เธทเนˆเธญเธ‡เธˆเธฒเธเธˆเธฐเน„เธกเนˆเธกเธตเธเธฒเธฃเธชเธฃเน‰เธฒเธ‡เธ เธฒเธžเธ‚เธ™เธฒเธ”เธขเนˆเธญ" +cacheRemoteFilesDescription: "เน€เธกเธทเนˆเธญเธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™เธเธฒเธฃเธ•เธฑเน‰เธ‡เธ„เนˆเธฒเธ™เธตเน‰ เน„เธŸเธฅเนŒเธฃเธฐเธขเธฐเน„เธเธฅเธ™เธฑเน‰เธ™เธˆเธฐเธ–เธนเธเน‚เธซเธฅเธ”เน‚เธ”เธขเธ•เธฃเธ‡เธˆเธฒเธเธฃเธฐเธขเธฐเน„เธเธฅเน€เธ‹เธดเธŸเน€เธงเธญเธฃเนŒ + เนเธ•เนˆเธเธฃเธ“เธตเธเธฒเธฃเธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™เธ™เธตเน‰เธˆเธฐเธŠเนˆเธงเธขเธฅเธ”เธ›เธฃเธดเธกเธฒเธ“เธเธฒเธฃเนƒเธŠเน‰เธžเธทเน‰เธ™เธ—เธตเนˆเธˆเธฑเธ”เน€เธเน‡เธšเธ‚เน‰เธญเธกเธนเธฅ เนเธ•เนˆเน€เธžเธดเนˆเธกเธ›เธฃเธดเธกเธฒเธ“เธเธฒเธฃเนƒเธŠเน‰เธ‡เธฒเธ™ + เน€เธžเธฃเธฒเธฐเน€เธ™เธทเนˆเธญเธ‡เธˆเธฒเธเธˆเธฐเน„เธกเนˆเธกเธตเธเธฒเธฃเธชเธฃเน‰เธฒเธ‡เธ เธฒเธžเธ‚เธ™เธฒเธ”เธขเนˆเธญ" flagAsBot: "เธ—เธณเน€เธ„เธฃเธทเนˆเธญเธ‡เธซเธกเธฒเธขเธšเธญเธเธงเนˆเธฒเธšเธฑเธเธŠเธตเธ™เธตเน‰เน€เธ›เน‡เธ™เธšเธญเธ—" -flagAsBotDescription: "เธเธฒเธฃเน€เธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™เธ•เธฑเธงเน€เธฅเธทเธญเธเธ™เธตเน‰เธซเธฒเธเธšเธฑเธเธŠเธตเธ™เธตเน‰เธ–เธนเธเธ„เธงเธšเธ„เธธเธกเน‚เธ”เธขเธ™เธฑเธเน€เธ‚เธตเธขเธ™เน‚เธ›เธฃเนเธเธฃเธก เธซเธฃเธทเธญ เธ–เน‰เธฒเธซเธฒเธเน€เธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™ เธกเธฑเธ™เธˆเธฐเธ—เธณเธซเธ™เน‰เธฒเธ—เธตเนˆเน€เธ›เน‡เธ™เนเธŸเธฅเน‡เธเธชเธณเธซเธฃเธฑเธšเธ™เธฑเธเธžเธฑเธ’เธ™เธฒเธฃเธฒเธขเธญเธทเนˆเธ™เน† เนเธฅเธฐเน€เธžเธทเนˆเธญเธ›เน‰เธญเธ‡เธเธฑเธ™เธเธฒเธฃเน‚เธ•เน‰เธ•เธญเธšเนเธšเธšเน„เธกเนˆเธกเธตเธ—เธตเนˆเธชเธดเน‰เธ™เธชเธธเธ”เธเธฑเธšเธšเธญเธ—เธ•เธฑเธงเธญเธทเนˆเธ™เน† เนเธฅเธฐเธขเธฑเธ‡เธชเธฒเธกเธฒเธฃเธ–เธ›เธฃเธฑเธšเน€เธ›เธฅเธตเนˆเธขเธ™เธฃเธฐเธšเธšเธ เธฒเธขเนƒเธ™เธ‚เธญเธ‡ Firefish เน€เธžเธทเนˆเธญเธ›เธเธดเธšเธฑเธ•เธดเธ•เนˆเธญเธšเธฑเธเธŠเธตเธ™เธตเน‰เน€เธ›เน‡เธ™เธšเธญเธ—" +flagAsBotDescription: "เธเธฒเธฃเน€เธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™เธ•เธฑเธงเน€เธฅเธทเธญเธเธ™เธตเน‰เธซเธฒเธเธšเธฑเธเธŠเธตเธ™เธตเน‰เธ–เธนเธเธ„เธงเธšเธ„เธธเธกเน‚เธ”เธขเธ™เธฑเธเน€เธ‚เธตเธขเธ™เน‚เธ›เธฃเนเธเธฃเธก + เธซเธฃเธทเธญ เธ–เน‰เธฒเธซเธฒเธเน€เธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™ เธกเธฑเธ™เธˆเธฐเธ—เธณเธซเธ™เน‰เธฒเธ—เธตเนˆเน€เธ›เน‡เธ™เนเธŸเธฅเน‡เธเธชเธณเธซเธฃเธฑเธšเธ™เธฑเธเธžเธฑเธ’เธ™เธฒเธฃเธฒเธขเธญเธทเนˆเธ™เน† เนเธฅเธฐเน€เธžเธทเนˆเธญเธ›เน‰เธญเธ‡เธเธฑเธ™เธเธฒเธฃเน‚เธ•เน‰เธ•เธญเธšเนเธšเธšเน„เธกเนˆเธกเธตเธ—เธตเนˆเธชเธดเน‰เธ™เธชเธธเธ”เธเธฑเธšเธšเธญเธ—เธ•เธฑเธงเธญเธทเนˆเธ™เน† + เนเธฅเธฐเธขเธฑเธ‡เธชเธฒเธกเธฒเธฃเธ–เธ›เธฃเธฑเธšเน€เธ›เธฅเธตเนˆเธขเธ™เธฃเธฐเธšเธšเธ เธฒเธขเนƒเธ™เธ‚เธญเธ‡ Firefish เน€เธžเธทเนˆเธญเธ›เธเธดเธšเธฑเธ•เธดเธ•เนˆเธญเธšเธฑเธเธŠเธตเธ™เธตเน‰เน€เธ›เน‡เธ™เธšเธญเธ—" flagAsCat: "เธ—เธณเน€เธ„เธฃเธทเนˆเธญเธ‡เธซเธกเธฒเธขเธšเธญเธเธงเนˆเธฒเธšเธฑเธเธŠเธตเธ™เธตเน‰เน€เธ›เน‡เธ™เนเธกเธง" -flagAsCatDescription: "เธเธฒเธฃเน€เธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™เธ•เธฑเธงเน€เธฅเธทเธญเธเธ™เธตเน‰เน€เธžเธทเนˆเธญเธ—เธณเน€เธ„เธฃเธทเนˆเธญเธ‡เธซเธกเธฒเธขเธšเธญเธเธงเนˆเธฒเธšเธฑเธเธŠเธตเธ™เธตเน‰เน€เธ›เน‡เธ™เนเธกเธง" +flagAsCatDescription: "เธ„เธธเธ“เธˆเธฐเน„เธ”เน‰เธฃเธฑเธšเธซเธนเนเธกเธงเนเธฅเธฐเธžเธนเธ”เน€เธซเธกเธทเธญเธ™เนเธกเธงเธ™เธฐ!" flagShowTimelineReplies: "เนเธชเธ”เธ‡เธ•เธญเธšเธเธฅเธฑเธš เนƒเธ™เน„เธ—เธกเนŒเน„เธฅเธ™เนŒ" -flagShowTimelineRepliesDescription: "เนเธชเธ”เธ‡เธเธฒเธฃเธ•เธญเธšเธเธฅเธฑเธšเธ‚เธญเธ‡เธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™เน„เธ›เธขเธฑเธ‡เน‚เธ™เน‰เธ•เธ‚เธญเธ‡เธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™เธฃเธฒเธขเธญเธทเนˆเธ™เน†เนƒเธ™เน„เธ—เธกเนŒเน„เธฅเธ™เนŒเธซเธฒเธเน„เธ”เน‰เน€เธ›เธดเธ”เน€เธญเธฒเน„เธงเน‰" +flagShowTimelineRepliesDescription: "เนเธชเธ”เธ‡เธเธฒเธฃเธ•เธญเธšเธเธฅเธฑเธšเธ‚เธญเธ‡เธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™เน„เธ›เธขเธฑเธ‡เน‚เธžเธชเธ•เนŒเธ‚เธญเธ‡เธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™เธฃเธฒเธขเธญเธทเนˆเธ™เน†เนƒเธ™เน„เธ—เธกเนŒเน„เธฅเธ™เนŒเธซเธฒเธเน„เธ”เน‰เน€เธ›เธดเธ”เน€เธญเธฒเน„เธงเน‰" autoAcceptFollowed: "เธญเธ™เธธเธกเธฑเธ•เธดเธ„เธณเธ‚เธญเธ•เธดเธ”เธ•เธฒเธกเน‚เธ”เธขเธญเธฑเธ•เน‚เธ™เธกเธฑเธ•เธดเธ—เธฑเธ™เธ—เธต เธˆเธฒเธเธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™เธ—เธตเนˆเธ„เธธเธ“เธเธณเธฅเธฑเธ‡เธ•เธดเธ”เธ•เธฒเธก" addAccount: "เน€เธžเธดเนˆเธกเธšเธฑเธเธŠเธต" loginFailed: "เธเธฒเธฃเน€เธ‚เน‰เธฒเธชเธนเนˆเธฃเธฐเธšเธšเน„เธกเนˆเธชเธณเน€เธฃเน‡เธˆ" @@ -155,15 +161,17 @@ removeWallpaper: "เธ™เธณเธงเธญเธฅเน€เธ›เน€เธ›เธญเธฃเนŒเธญเธญเธ" searchWith: "เธ„เน‰เธ™เธซเธฒ: {q}" youHaveNoLists: "เธฃเธฒเธขเธเธฒเธฃเธ™เธตเน‰เธงเนˆเธฒเธ‡เน€เธ›เธฅเนˆเธฒ" followConfirm: "เธ„เธธเธ“เนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเธซเธฃเธญเธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธ—เธตเนˆเธˆเธฐเธ•เธดเธ”เธ•เธฒเธก {name}?" -proxyAccount: "เธšเธฑเธเธŠเธต เธžเธฃเน‡เธญเธเธ‹เธตเนˆ" -proxyAccountDescription: "เธšเธฑเธเธŠเธตเธžเธฃเน‡เธญเธเธ‹เธตเนˆ เธ„เธทเธญ เธšเธฑเธเธŠเธตเธ—เธตเนˆเธˆเธฐเธ—เธณเธซเธ™เน‰เธฒเธ—เธตเนˆเน€เธ›เน‡เธ™เธœเธนเน‰เธ•เธดเธ”เธ•เธฒเธกเธฃเธฐเธขเธฐเน„เธเธฅเธชเธณเธซเธฃเธฑเธšเธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™เธ—เธตเนˆเธญเธขเธนเนˆเธ เธฒเธขเนƒเธ•เน‰เธ”เน‰เธงเธขเน€เธ‡เธทเนˆเธญเธ™เน„เธ‚เธšเธฒเธ‡เธญเธขเนˆเธฒเธ‡ เธขเธเธ•เธฑเธงเธญเธขเนˆเธฒเธ‡ เน€เธŠเนˆเธ™ เน€เธกเธทเนˆเธญเธกเธตเธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™เธ™เธฑเน‰เธ™เน„เธ”เน‰เน€เธžเธดเนˆเธกเธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™เธˆเธฒเธเธฃเธฐเธขเธฐเน„เธเธฅเธฅเธ‡เนƒเธ™เธฃเธฒเธขเธเธฒเธฃ เนเธ•เนˆเธเธดเธˆเธเธฃเธฃเธกเธ‚เธญเธ‡เธœเธนเน‰เนƒเธŠเน‰เนƒเธ™เธฃเธฐเธขเธฐเน„เธเธฅเธ™เธฑเน‰เธ™เธˆเธฐเน„เธกเนˆเธ–เธนเธเธชเนˆเธ‡เน„เธ›เธขเธฑเธ‡เธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒเธซเธฒเธเน„เธกเนˆเธกเธตเธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™เนƒเธ™เธžเธทเน‰เธ™เธ—เธตเนˆเธ•เธดเธ”เธ•เธฒเธกเธœเธนเน‰เนƒเธŠเน‰เธฃเธฒเธขเธ™เธฑเน‰เธ™ เธ”เธฑเธ‡เธ™เธฑเน‰เธ™เธšเธฑเธเธŠเธตเธžเธฃเน‡เธญเธเธ‹เธตเธ™เธตเน‰เธˆเธฐเธ•เธดเธ”เธ•เธฒเธกเนเธ—เธ™" +proxyAccount: "เธšเธฑเธเธŠเธตเธžเธฃเน‡เธญเธเธ‹เธต" +proxyAccountDescription: "เธšเธฑเธเธŠเธตเธžเธฃเน‡เธญเธเธ‹เธตเนˆ เธ„เธทเธญ เธšเธฑเธเธŠเธตเธ—เธตเนˆเธˆเธฐเธ—เธณเธซเธ™เน‰เธฒเธ—เธตเนˆเน€เธ›เน‡เธ™เธœเธนเน‰เธ•เธดเธ”เธ•เธฒเธกเธฃเธฐเธขเธฐเน„เธเธฅเธชเธณเธซเธฃเธฑเธšเธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™เธ—เธตเนˆเธญเธขเธนเนˆเธ เธฒเธขเนƒเธ•เน‰เธ”เน‰เธงเธขเน€เธ‡เธทเนˆเธญเธ™เน„เธ‚เธšเธฒเธ‡เธญเธขเนˆเธฒเธ‡ + เธขเธเธ•เธฑเธงเธญเธขเนˆเธฒเธ‡ เน€เธŠเนˆเธ™ เน€เธกเธทเนˆเธญเธกเธตเธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™เธ™เธฑเน‰เธ™เน„เธ”เน‰เน€เธžเธดเนˆเธกเธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™เธˆเธฒเธเธฃเธฐเธขเธฐเน„เธเธฅเธฅเธ‡เนƒเธ™เธฃเธฒเธขเธเธฒเธฃ เนเธ•เนˆเธเธดเธˆเธเธฃเธฃเธกเธ‚เธญเธ‡เธœเธนเน‰เนƒเธŠเน‰เนƒเธ™เธฃเธฐเธขเธฐเน„เธเธฅเธ™เธฑเน‰เธ™เธˆเธฐเน„เธกเนˆเธ–เธนเธเธชเนˆเธ‡เน„เธ›เธขเธฑเธ‡เน€เธ‹เธดเธŸเน€เธงเธญเธฃเนŒ + เธซเธฒเธเน„เธกเนˆเธกเธตเธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™เนƒเธ™เธžเธทเน‰เธ™เธ—เธตเนˆเธ•เธดเธ”เธ•เธฒเธกเธœเธนเน‰เนƒเธŠเน‰เธฃเธฒเธขเธ™เธฑเน‰เธ™ เธ”เธฑเธ‡เธ™เธฑเน‰เธ™เธšเธฑเธเธŠเธตเธžเธฃเน‡เธญเธเธ‹เธตเธ™เธตเน‰เธˆเธฐเธ•เธดเธ”เธ•เธฒเธกเนเธ—เธ™" host: "เน‚เธฎเธชเธ•เนŒ" selectUser: "เน€เธฅเธทเธญเธเธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™" recipient: "เธœเธนเน‰เธฃเธฑเธš" annotation: "เธ„เธงเธฒเธกเธ„เธดเธ”เน€เธซเน‡เธ™" federation: "เธชเธซเธžเธฑเธ™เธ˜เนŒ" -instances: "เธ•เธฑเธงเธญเธขเนˆเธฒเธ‡" -registeredAt: "เธˆเธ”เธ—เธฐเน€เธšเธตเธขเธ™เธ—เธตเนˆ" +instances: "เน€เธ‹เธดเธŸเน€เธงเธญเธฃเนŒ" +registeredAt: "เธˆเธ”เธ—เธฐเน€เธšเธตเธขเธ™เนเธฅเน‰เธงเธ—เธตเนˆ" latestRequestSentAt: "เธชเนˆเธ‡เธ„เธณเธ‚เธญเธฅเนˆเธฒเธชเธธเธ”เน„เธ›เนเธฅเน‰เธง" latestRequestReceivedAt: "เน„เธ”เน‰เธฃเธฑเธšเธ„เธณเธ‚เธญเธฅเนˆเธฒเธชเธธเธ”เน„เธ›เนเธฅเน‰เธง" latestStatus: "เธชเธ–เธฒเธ™เธฐเธฅเนˆเธฒเธชเธธเธ”" @@ -186,7 +194,8 @@ instanceInfo: "เธ‚เน‰เธญเธกเธนเธฅ เธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒ" statistics: "เธชเธ–เธดเธ•เธดเธเธฒเธฃเนƒเธŠเน‰เธ‡เธฒเธ™" clearQueue: "เธฅเน‰เธฒเธ‡เธ„เธดเธง" clearQueueConfirmTitle: "เธ„เธธเธ“เนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเธซเธฃเธญเธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธ—เธตเนˆเธˆเธฐเธฅเน‰เธฒเธ‡เธ„เธดเธง?" -clearQueueConfirmText: "เธšเธฑเธ™เธ—เธถเธเธขเนˆเธญเธ—เธตเนˆเธขเธฑเธ‡เน„เธกเนˆเน„เธ”เน‰เธชเนˆเธ‡เธ—เธตเนˆเน€เธซเธฅเธทเธญเธญเธขเธนเนˆเนƒเธ™เธ„เธดเธงเธ™เธฑเน‰เธ™เธกเธฑเธเธˆเธฐ เน„เธกเนˆเธ–เธนเธเธฃเธงเธกเน€เธ‚เน‰เธฒเธ”เน‰เธงเธขเธเธฑเธ™ เน‚เธ”เธขเธ›เธเธ•เธดเนเธฅเน‰เธงเน„เธกเนˆเธˆเธณเน€เธ›เน‡เธ™เธ•เน‰เธญเธ‡เธ”เธณเน€เธ™เธดเธ™เธเธฒเธฃเธ™เธตเน‰" +clearQueueConfirmText: "เธšเธฑเธ™เธ—เธถเธเธขเนˆเธญเธ—เธตเนˆเธขเธฑเธ‡เน„เธกเนˆเน„เธ”เน‰เธชเนˆเธ‡เธ—เธตเนˆเน€เธซเธฅเธทเธญเธญเธขเธนเนˆเนƒเธ™เธ„เธดเธงเธ™เธฑเน‰เธ™เธกเธฑเธเธˆเธฐ เน„เธกเนˆเธ–เธนเธเธฃเธงเธกเน€เธ‚เน‰เธฒเธ”เน‰เธงเธขเธเธฑเธ™ + เน‚เธ”เธขเธ›เธเธ•เธดเนเธฅเน‰เธงเน„เธกเนˆเธˆเธณเน€เธ›เน‡เธ™เธ•เน‰เธญเธ‡เธ”เธณเน€เธ™เธดเธ™เธเธฒเธฃเธ™เธตเน‰" clearCachedFiles: "เธฅเน‰เธฒเธ‡เนเธ„เธŠ" clearCachedFilesConfirm: "เธ™เธฒเธขเนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเธซเธฃเธญเธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธ—เธตเนˆเธˆเธฐเธฅเธšเน„เธŸเธฅเนŒเธฃเธฐเธขเธฐเน„เธเธฅเธ—เธตเนˆเนเธ„เธŠเน„เธงเน‰เธ—เธฑเน‰เธ‡เธซเธกเธ”?" blockedInstances: "เธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒเธ—เธตเนˆ เธ–เธนเธเธšเธฅเน‡เธญเธ" @@ -232,14 +241,15 @@ announcements: "เธ›เธฃเธฐเธเธฒเธจ" imageUrl: "url เธฃเธนเธ›เธ เธฒเธž" remove: "เธฅเธš" removed: "เธ–เธนเธเธฅเธšเน„เธ›เนเธฅเน‰เธง" -removeAreYouSure: "เธ™เธฒเธขเนเธ™เนˆเนƒเธˆเธˆเธฃเธดเธ‡เธซเธฃเธญเธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธ—เธตเนˆเธˆเธฐเธฅเธšเธญเธญเธ \"{x}\"" -deleteAreYouSure: "เธ™เธฒเธขเนเธ™เนˆเนƒเธˆเธˆเธฃเธดเธ‡เธซเธฃเธญเธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธ—เธตเนˆเธˆเธฐเธฅเธšเธญเธญเธ \"{x}\"" -resetAreYouSure: "เธฃเธตเน€เธ‹เน‡เธ•เน€เธฅเธขเน„เธซเธก" +removeAreYouSure: "เธ„เธธเธ“เนเธ™เนˆเนƒเธˆเธˆเธฃเธดเธ‡เธซเธฃเธญเธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธ—เธตเนˆเธˆเธฐเธฅเธšเธญเธญเธ \"{x}\"?" +deleteAreYouSure: "เธ„เธธเธ“เนเธ™เนˆเนƒเธˆเธซเธฃเธญเธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธ—เธตเนˆเธˆเธฐเธฅเธšเธญเธญเธ \"{x}\"?" +resetAreYouSure: "เธˆเธฃเธดเธ‡เธซเธฃเธญเธฃเธตเน€เธ‹เน‡เธ•เน€เธฅเธขเน„เธซเธก?" saved: "เธšเธฑเธ™เธ—เธถเธเนเธฅเน‰เธง" messaging: "เนเธŠเธ—" upload: "เธญเธฑเธžเน‚เธซเธฅเธ”" keepOriginalUploading: "เน€เธเน‡เธšเธ เธฒเธžเธ•เน‰เธ™เธ‰เธšเธฑเธš" -keepOriginalUploadingDescription: "เธšเธฑเธ™เธ—เธถเธเธฃเธนเธ›เธ เธฒเธžเธ—เธตเนˆเธญเธฑเธžเน‚เธซเธฅเธ”เธ•เน‰เธ™เธ‰เธšเธฑเธšเธ•เธฒเธกเธ—เธตเนˆเน€เธ›เน‡เธ™เธญเธขเธนเนˆ เธ–เน‰เธฒเธซเธฒเธเธ›เธดเธ”เธญเธขเธนเนˆ เธฃเธฐเธšเธšเธˆเธฐเธชเธฃเน‰เธฒเธ‡เน€เธงเธญเธฃเนŒเธŠเธฑเนˆเธ™เธ—เธตเนˆเธˆเธฐเนเธชเธ”เธ‡เธšเธ™เน€เธงเน‡เธšเน€เธกเธทเนˆเธญเธญเธฑเธžเน‚เธซเธฅเธ”เธ™เธฐ" +keepOriginalUploadingDescription: "เธšเธฑเธ™เธ—เธถเธเธฃเธนเธ›เธ เธฒเธžเธ—เธตเนˆเธญเธฑเธžเน‚เธซเธฅเธ”เธ•เน‰เธ™เธ‰เธšเธฑเธšเธ•เธฒเธกเธ—เธตเนˆเน€เธ›เน‡เธ™เธญเธขเธนเนˆ เธ–เน‰เธฒเธซเธฒเธเธ›เธดเธ”เธญเธขเธนเนˆ + เธฃเธฐเธšเธšเธˆเธฐเธชเธฃเน‰เธฒเธ‡เน€เธงเธญเธฃเนŒเธŠเธฑเนˆเธ™เธ—เธตเนˆเธˆเธฐเนเธชเธ”เธ‡เธšเธ™เน€เธงเน‡เธšเน€เธกเธทเนˆเธญเธญเธฑเธžเน‚เธซเธฅเธ”เธ™เธฐ" fromDrive: "เธˆเธฒเธเน„เธ”เธฃเธŸเนŒ" fromUrl: "เธˆเธฒเธ URL" uploadFromUrl: "เธญเธฑเธžเน‚เธซเธฅเธ”เธˆเธฒเธ URL" @@ -253,7 +263,7 @@ startMessaging: "เน€เธฃเธดเนˆเธกเธเธฒเธฃเธชเธ™เธ—เธ™เธฒ" nUsersRead: "เธญเนˆเธฒเธ™เน‚เธ”เธข {n}" agreeTo: "เธ‰เธฑเธ™เธขเธญเธกเธฃเธฑเธšเธ—เธตเนˆเธˆเธฐ {0}" tos: "เธ‚เน‰เธญเธเธณเธซเธ™เธ”เนเธฅเธฐเน€เธ‡เธทเนˆเธญเธ™เน„เธ‚" -start: "เน€เธฃเธดเนˆเธกเธ•เน‰เธ™โ€‹เนƒเธŠเน‰เธ‡เธฒเธ™โ€‹" +start: "เน€เธฃเธดเนˆเธกเธ•เน‰เธ™" home: "เธซเธ™เน‰เธฒเนเธฃเธ" remoteUserCaution: "เน€เธ™เธทเนˆเธญเธ‡เธˆเธฒเธเธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™เธฃเธฒเธขเธ™เธตเน‰เธ™เธฑเน‰เธ™ เธกเธฒเธˆเธฒเธเธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒเธฃเธฐเธขเธฐเน„เธเธฅ เธ‚เน‰เธญเธกเธนเธฅเธ—เธตเนˆเนเธชเธ”เธ‡เธ”เธฑเธ‡เธเธฅเนˆเธฒเธงเธ™เธฑเน‰เธ™เธญเธฒเธˆเธˆเธฐเน„เธกเนˆเธชเธกเธšเธนเธฃเธ“เนŒเธเน‡เน„เธ”เน‰เธ™เธฐ" activity: "เธเธดเธˆเธเธฃเธฃเธก" @@ -334,9 +344,11 @@ bannerUrl: "URL เธฃเธนเธ›เธ เธฒเธžเนเธšเธ™เน€เธ™เธญเธฃเนŒ" backgroundImageUrl: "URL เธ เธฒเธžเธžเธทเน‰เธ™เธซเธฅเธฑเธ‡" basicInfo: "เธ‚เน‰เธญเธกเธนเธฅเน€เธšเธทเน‰เธญเธ‡เธ•เน‰เธ™" pinnedUsers: "เธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™เธ—เธตเนˆเน„เธ”เน‰เธฃเธฑเธšเธเธฒเธฃเธ›เธฑเธเธซเธกเธธเธ”" -pinnedUsersDescription: "เธฅเธดเธชเธ•เนŒเธŠเธทเนˆเธญเธœเธนเน‰เนƒเธŠเน‰เน‚เธ”เธขเธ„เธฑเนˆเธ™เธ”เน‰เธงเธขเธเธฒเธฃเธ‚เธถเน‰เธ™เธšเธฃเธฃเธ—เธฑเธ”เนƒเธซเธกเนˆเน€เธžเธทเนˆเธญเธ›เธฑเธเธซเธกเธธเธ”เนƒเธ™เนเธ—เน‡เธš \"เธชเธณเธฃเธงเธˆ\"" +pinnedUsersDescription: "เธฅเธดเธชเธ•เนŒเธŠเธทเนˆเธญเธœเธนเน‰เนƒเธŠเน‰เน‚เธ”เธขเธ„เธฑเนˆเธ™เธ”เน‰เธงเธขเธเธฒเธฃเธ‚เธถเน‰เธ™เธšเธฃเธฃเธ—เธฑเธ”เนƒเธซเธกเนˆเน€เธžเธทเนˆเธญเธ›เธฑเธเธซเธกเธธเธ”เนƒเธ™เนเธ—เน‡เธš + \"เธชเธณเธฃเธงเธˆ\"" pinnedPages: "เธซเธ™เน‰เธฒเธ—เธตเนˆเธ›เธฑเธเธซเธกเธธเธ”" -pinnedPagesDescription: "เธ›เน‰เธญเธ™เน€เธชเน‰เธ™เธ—เธฒเธ‡เธ‚เธญเธ‡เธซเธ™เน‰เธฒเธ—เธตเนˆเธ„เธธเธ“เธ•เน‰เธญเธ‡เธเธฒเธฃเธ•เธฃเธถเธ‡เน„เธงเน‰เธ—เธตเนˆเธซเธ™เน‰เธฒเนเธฃเธเธ‚เธญเธ‡เธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒเธ™เธตเน‰ เน‚เธ”เธขเธ„เธฑเนˆเธ™เธ”เน‰เธงเธขเธ•เธฑเธงเนเธšเนˆเธ‡เธšเธฃเธฃเธ—เธฑเธ”" +pinnedPagesDescription: "เธ›เน‰เธญเธ™เน€เธชเน‰เธ™เธ—เธฒเธ‡เธ‚เธญเธ‡เธซเธ™เน‰เธฒเธ—เธตเนˆเธ„เธธเธ“เธ•เน‰เธญเธ‡เธเธฒเธฃเธ•เธฃเธถเธ‡เน„เธงเน‰เธ—เธตเนˆเธซเธ™เน‰เธฒเนเธฃเธเธ‚เธญเธ‡เธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒเธ™เธตเน‰ + เน‚เธ”เธขเธ„เธฑเนˆเธ™เธ”เน‰เธงเธขเธ•เธฑเธงเนเธšเนˆเธ‡เธšเธฃเธฃเธ—เธฑเธ”" pinnedClipId: "ID เธ‚เธญเธ‡เธ„เธฅเธดเธ›เธ—เธตเนˆเธˆเธฐเธ›เธฑเธเธซเธกเธธเธ”" pinnedNotes: "เน‚เธ™เน‰เธ•เธ—เธตเนˆเธ›เธฑเธเธซเธกเธธเธ”เน€เธญเธฒเน„เธงเน‰" hcaptcha: "hCaptcha" @@ -347,14 +359,17 @@ recaptcha: "reCAPTCHA" enableRecaptcha: "เน€เธ›เธดเธ”เนƒเธŠเน‰ reCAPTCHA" recaptchaSiteKey: "เธ„เธตเธขเนŒเน„เธ‹เธ•เนŒ" recaptchaSecretKey: "เธ„เธตเธขเนŒเธฅเธฑเธš" -avoidMultiCaptchaConfirm: "เธเธฒเธฃเนƒเธŠเน‰เธฃเธฐเธšเธš Captcha เธซเธฅเธฒเธขเธฃเธฐเธšเธšเธญเธฒเธˆเธ—เธณเนƒเธซเน‰เน€เธเธดเธ”เธเธฒเธฃเธฃเธšเธเธงเธ™เธซเธฃเธทเธญเธญเธฒเธˆเธˆเธฐเน€เธเธดเธ”เธ‚เน‰เธญเธœเธดเธ”เธžเธฅเธฒเธ”เน„เธ”เน‰ เธซเธฒเธเธ•เน‰เธญเธ‡เธเธฒเธฃเธ—เธตเนˆเธˆเธฐเธ›เธดเธ”เธเธฒเธฃเนƒเธŠเน‰เธ‡เธฒเธ™เธฃเธฐเธšเธš Captcha เธญเธทเนˆเธ™ เน† เนเธ™เธฐเธ™เธณเนƒเธซเน‰เธ›เธดเธ”เธ•เธฑเธงเธญเธทเนˆเธ™เน†เธเนˆเธญเธ™ เธ–เน‰เธฒเธซเธฒเธเธ„เธธเธ“เธ•เน‰เธญเธ‡เธเธฒเธฃเนƒเธซเน‰เน€เธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™เธ•เนˆเธญเน„เธ› เนƒเธซเน‰ เธเธ” เธขเธเน€เธฅเธดเธ" +avoidMultiCaptchaConfirm: "เธเธฒเธฃเนƒเธŠเน‰เธฃเธฐเธšเธš Captcha เธซเธฅเธฒเธขเธฃเธฐเธšเธšเธญเธฒเธˆเธ—เธณเนƒเธซเน‰เน€เธเธดเธ”เธเธฒเธฃเธฃเธšเธเธงเธ™เธซเธฃเธทเธญเธญเธฒเธˆเธˆเธฐเน€เธเธดเธ”เธ‚เน‰เธญเธœเธดเธ”เธžเธฅเธฒเธ”เน„เธ”เน‰ + เธซเธฒเธเธ•เน‰เธญเธ‡เธเธฒเธฃเธ—เธตเนˆเธˆเธฐเธ›เธดเธ”เธเธฒเธฃเนƒเธŠเน‰เธ‡เธฒเธ™เธฃเธฐเธšเธš Captcha เธญเธทเนˆเธ™ เน† เนเธ™เธฐเธ™เธณเนƒเธซเน‰เธ›เธดเธ”เธ•เธฑเธงเธญเธทเนˆเธ™เน†เธเนˆเธญเธ™ เธ–เน‰เธฒเธซเธฒเธเธ„เธธเธ“เธ•เน‰เธญเธ‡เธเธฒเธฃเนƒเธซเน‰เน€เธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™เธ•เนˆเธญเน„เธ› + เนƒเธซเน‰ เธเธ” เธขเธเน€เธฅเธดเธ" antennas: "เน€เธชเธฒเธญเธฒเธเธฒเธจ" manageAntennas: "เธˆเธฑเธ”เธเธฒเธฃเน€เธชเธฒเธญเธฒเธเธฒเธจ" name: "เธŠเธทเนˆเธญ" antennaSource: "เนเธซเธฅเนˆเธ‡เน€เธชเธฒเธญเธฒเธเธฒเธจ" antennaKeywords: "เธ„เธตเธขเนŒเน€เธงเธดเธฃเนŒเธ”เธ—เธตเนˆเธ„เธงเธฃเธŸเธฑเธ‡" antennaExcludeKeywords: "เธ„เธตเธขเนŒเน€เธงเธดเธฃเนŒเธ”เธ—เธตเนˆเธˆเธฐเธขเธเน€เธงเน‰เธ™" -antennaKeywordsDescription: "เธ„เธฑเนˆเธ™เธ”เน‰เธงเธขเธŠเนˆเธญเธ‡เธงเนˆเธฒเธ‡เธชเธณเธซเธฃเธฑเธšเน€เธ‡เธทเนˆเธญเธ™เน„เธ‚ AND เธซเธฃเธทเธญเธ”เน‰เธงเธขเธเธฒเธฃเธ‚เธถเน‰เธ™เธšเธฃเธฃเธ—เธฑเธ”เนƒเธซเธกเนˆเธชเธณเธซเธฃเธฑเธšเน€เธ‡เธทเนˆเธญเธ™เน„เธ‚ OR เธ™เธฐ" +antennaKeywordsDescription: "เธ„เธฑเนˆเธ™เธ”เน‰เธงเธขเธŠเนˆเธญเธ‡เธงเนˆเธฒเธ‡เธชเธณเธซเธฃเธฑเธšเน€เธ‡เธทเนˆเธญเธ™เน„เธ‚ AND เธซเธฃเธทเธญเธ”เน‰เธงเธขเธเธฒเธฃเธ‚เธถเน‰เธ™เธšเธฃเธฃเธ—เธฑเธ”เนƒเธซเธกเนˆเธชเธณเธซเธฃเธฑเธšเน€เธ‡เธทเนˆเธญเธ™เน„เธ‚ + OR เธ™เธฐ" notifyAntenna: "เนเธˆเน‰เธ‡เน€เธ•เธทเธญเธ™เน€เธเธตเนˆเธขเธงเธเธฑเธšเน‚เธ™เน‰เธ•เนƒเธซเธกเนˆ" withFileAntenna: "เน€เธ‰เธžเธฒเธฐเน‚เธ™เน‰เธ•เธ—เธตเนˆเธกเธตเน„เธŸเธฅเนŒ" enableServiceworker: "เน€เธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™ เธเธฒเธฃเนเธˆเน‰เธ‡เน€เธ•เธทเธญเธ™เนเธšเธšเธžเธธเธŠเธชเธณเธซเธฃเธฑเธšเน€เธšเธฃเธฒเธงเนŒเน€เธ‹เธญเธฃเนŒเธ‚เธญเธ‡เธ„เธธเธ“" @@ -433,7 +448,8 @@ invitationCode: "เธฃเธซเธฑเธชเธ„เธณเน€เธŠเธดเธ" checking: "Checking" available: "เธžเธฃเน‰เธญเธกเนƒเธŠเน‰เธ‡เธฒเธ™" unavailable: "เน„เธกเนˆเธžเธฃเน‰เธญเธกเนƒเธŠเน‰" -usernameInvalidFormat: "เธ„เธธเธ“เธชเธฒเธกเธฒเธฃเธ–เนƒเธŠเน‰เธญเธฑเธเธฉเธฃเธ•เธฑเธงเธžเธดเธกเธžเนŒเนƒเธซเธเนˆเนเธฅเธฐเธ•เธฑเธงเธžเธดเธกเธžเนŒเน€เธฅเน‡เธ เธ•เธฑเธงเน€เธฅเธ‚ เนเธฅเธฐเธ‚เธตเธ”เธฅเนˆเธฒเธ‡เน„เธ”เน‰เธ™เธฐ ( a-z , A-Z , 0-9 , เธฃเธงเธกเน„เธ›เธ–เธถเธ‡เธญเธฑเธเธฉเธฃเธžเธดเน€เธจเธฉเน€เธŠเนˆเธ™ + * / , . - เธญเธทเนˆเธ™เน†เน€เธ›เน‡เธ™เธ•เน‰เธ™ )" +usernameInvalidFormat: "เธ„เธธเธ“เธชเธฒเธกเธฒเธฃเธ–เนƒเธŠเน‰เธญเธฑเธเธฉเธฃเธ•เธฑเธงเธžเธดเธกเธžเนŒเนƒเธซเธเนˆเนเธฅเธฐเธ•เธฑเธงเธžเธดเธกเธžเนŒเน€เธฅเน‡เธ เธ•เธฑเธงเน€เธฅเธ‚ เนเธฅเธฐเธ‚เธตเธ”เธฅเนˆเธฒเธ‡เน„เธ”เน‰เธ™เธฐ + ( a-z , A-Z , 0-9 , เธฃเธงเธกเน„เธ›เธ–เธถเธ‡เธญเธฑเธเธฉเธฃเธžเธดเน€เธจเธฉเน€เธŠเนˆเธ™ + * / , . - เธญเธทเนˆเธ™เน†เน€เธ›เน‡เธ™เธ•เน‰เธ™ )" tooShort: "เธชเธฑเน‰เธ™เน€เธเธดเธ™เน„เธ›เธ™เธฐ" tooLong: "เธขเธฒเธงเน€เธเธดเธ™เน„เธ›เธ™เธฐ" weakPassword: "เธฃเธซเธฑเธชเธœเนˆเธฒเธ™ เนเธขเนˆเธกเธฒเธ" @@ -483,19 +499,26 @@ showFeaturedNotesInTimeline: "เนเธชเธ”เธ‡เน‚เธ™เน‰เธ•เน€เธ”เนˆเธ™เนƒเธ™เน„เธ— objectStorage: "เธญเน‡เธญเธšเน€เธˆเน‡เธเธ•เนŒ เธ—เธตเนˆเธˆเธฑเธ”เน€เธเน‡เธš" useObjectStorage: "เนƒเธŠเน‰ เธญเน‡เธญเธšเน€เธˆเน‡เธเธ•เนŒ เธ—เธตเนˆเธˆเธฑเธ”เน€เธเน‡เธš" objectStorageBaseUrl: "URL เธเธฒเธ™" -objectStorageBaseUrlDesc: "URL เธ—เธตเนˆเนƒเธŠเน‰เน€เธ›เน‡เธ™เธ‚เน‰เธญเธกเธนเธฅเธญเน‰เธฒเธ‡เธญเธดเธ‡ เธฃเธฐเธšเธธ URL เธ‚เธญเธ‡ CDN เธซเธฃเธทเธญ Proxy เธ–เน‰เธฒเธซเธฒเธเธ„เธธเธ“เนƒเธŠเน‰เธญเธขเนˆเธฒเธ‡เนƒเธ”เธญเธขเนˆเธฒเธ‡เธซเธ™เธถเนˆเธ‡\n เธชเธณเธซเธฃเธฑเธšเธเธฒเธฃเนƒเธŠเน‰เธ‡เธฒเธ™ S3 'https://.s3.amazonaws.com' เนเธฅเธฐเธชเธณเธซเธฃเธฑเธš GCS เธซเธฃเธทเธญเธšเธฃเธดเธเธฒเธฃเธ—เธตเนˆเน€เธ—เธตเธขเธšเน€เธ—เนˆเธฒเนƒเธŠเน‰ 'https://storage.googleapis.com/', เน€เธ›เน‡เธ™เธ•เน‰เธ™" +objectStorageBaseUrlDesc: "URL เธ—เธตเนˆเนƒเธŠเน‰เน€เธ›เน‡เธ™เธ‚เน‰เธญเธกเธนเธฅเธญเน‰เธฒเธ‡เธญเธดเธ‡ เธฃเธฐเธšเธธ URL เธ‚เธญเธ‡ CDN เธซเธฃเธทเธญ Proxy + เธ–เน‰เธฒเธซเธฒเธเธ„เธธเธ“เนƒเธŠเน‰เธญเธขเนˆเธฒเธ‡เนƒเธ”เธญเธขเนˆเธฒเธ‡เธซเธ™เธถเนˆเธ‡\n เธชเธณเธซเธฃเธฑเธšเธเธฒเธฃเนƒเธŠเน‰เธ‡เธฒเธ™ S3 'https://.s3.amazonaws.com' + เนเธฅเธฐเธชเธณเธซเธฃเธฑเธš GCS เธซเธฃเธทเธญเธšเธฃเธดเธเธฒเธฃเธ—เธตเนˆเน€เธ—เธตเธขเธšเน€เธ—เนˆเธฒเนƒเธŠเน‰ 'https://storage.googleapis.com/', + เน€เธ›เน‡เธ™เธ•เน‰เธ™" objectStorageBucket: "Bucket" objectStorageBucketDesc: "เน‚เธ›เธฃเธ”เธฃเธฐเธšเธธเธŠเธทเนˆเธญเธ—เธตเนˆเน€เธเน‡เธšเธ‚เน‰เธญเธกเธนเธฅเธ—เธตเนˆเนƒเธŠเน‰เธเธฑเธšเธœเธนเน‰เนƒเธซเน‰เธšเธฃเธดเธเธฒเธฃเธ‚เธญเธ‡เธ„เธธเธ“" objectStoragePrefix: "เธ„เธณเธ™เธณเธซเธ™เน‰เธฒ" objectStoragePrefixDesc: "เน„เธŸเธฅเนŒเธ—เธฑเน‰เธ‡เธซเธกเธ”เธˆเธฐเธ–เธนเธเน€เธเน‡เธšเน„เธงเน‰เธ เธฒเธขเนƒเธ•เน‰เน„เธ”เน€เธฃเน‡เธเธ—เธญเธฃเธตเธ—เธตเนˆเธกเธตเธ„เธณเธ™เธณเธซเธ™เน‰เธฒเธ™เธตเน‰เธ™เธฐ" objectStorageEndpoint: "เธ›เธฅเธฒเธขเธ—เธฒเธ‡" -objectStorageEndpointDesc: "เน€เธงเน‰เธ™เธงเนˆเธฒเธ‡เน„เธงเน‰เธซเธฒเธเธ„เธธเธ“เนƒเธŠเน‰ AWS S3 เธซเธฃเธทเธญเธฃเธฐเธšเธธเธ›เธฅเธฒเธขเธ—เธฒเธ‡เน€เธ›เน‡เธ™ '' เธซเธฃเธทเธญ ':' เธ—เธฑเน‰เธ‡เธ™เธตเน‰เธ‚เธถเน‰เธ™เธญเธขเธนเนˆเธเธฑเธšเธœเธนเน‰เนƒเธซเน‰เธšเธฃเธดเธเธฒเธฃเธ—เธตเนˆเธ„เธธเธ“เนƒเธŠเน‰เธญเธขเธนเนˆเธ”เน‰เธงเธข" +objectStorageEndpointDesc: "เน€เธงเน‰เธ™เธงเนˆเธฒเธ‡เน„เธงเน‰เธซเธฒเธเธ„เธธเธ“เนƒเธŠเน‰ AWS S3 เธซเธฃเธทเธญเธฃเธฐเธšเธธเธ›เธฅเธฒเธขเธ—เธฒเธ‡เน€เธ›เน‡เธ™ '' + เธซเธฃเธทเธญ ':' เธ—เธฑเน‰เธ‡เธ™เธตเน‰เธ‚เธถเน‰เธ™เธญเธขเธนเนˆเธเธฑเธšเธœเธนเน‰เนƒเธซเน‰เธšเธฃเธดเธเธฒเธฃเธ—เธตเนˆเธ„เธธเธ“เนƒเธŠเน‰เธญเธขเธนเนˆเธ”เน‰เธงเธข" objectStorageRegion: "เธ เธนเธกเธดเธ เธฒเธ„" -objectStorageRegionDesc: "เธฃเธฐเธšเธธเธ เธนเธกเธดเธ เธฒเธ„ เน€เธŠเนˆเธ™ 'xx-east-1' เธ–เน‰เธฒเธซเธฒเธเธšเธฃเธดเธเธฒเธฃเธ‚เธญเธ‡เธ„เธธเธ“เน„เธกเนˆเน„เธ”เน‰เนเธขเธเธ„เธงเธฒเธกเนเธ•เธเธ•เนˆเธฒเธ‡เธฃเธฐเธซเธงเนˆเธฒเธ‡เธ เธนเธกเธดเธ เธฒเธ„เธเน‡เนƒเธซเน‰ เน€เธงเน‰เธ™เธงเนˆเธฒเธ‡เน„เธงเน‰เธซเธฃเธทเธญเธ›เน‰เธญเธ™ 'us-east-1'" +objectStorageRegionDesc: "เธฃเธฐเธšเธธเธ เธนเธกเธดเธ เธฒเธ„ เน€เธŠเนˆเธ™ 'xx-east-1' เธ–เน‰เธฒเธซเธฒเธเธšเธฃเธดเธเธฒเธฃเธ‚เธญเธ‡เธ„เธธเธ“เน„เธกเนˆเน„เธ”เน‰เนเธขเธเธ„เธงเธฒเธกเนเธ•เธเธ•เนˆเธฒเธ‡เธฃเธฐเธซเธงเนˆเธฒเธ‡เธ เธนเธกเธดเธ เธฒเธ„เธเน‡เนƒเธซเน‰ + เน€เธงเน‰เธ™เธงเนˆเธฒเธ‡เน„เธงเน‰เธซเธฃเธทเธญเธ›เน‰เธญเธ™ 'us-east-1'" objectStorageUseSSL: "เนƒเธŠเน‰ SSL" -objectStorageUseSSLDesc: "เธ›เธดเธ”เธเธฒเธฃเธ—เธณเธ‡เธฒเธ™เธ™เธตเน‰เน„เธงเน‰ เธ–เน‰เธฒเธซเธฒเธเธ„เธธเธ“เธˆเธฐเน„เธกเนˆเนƒเธŠเน‰ HTTPS เธชเธณเธซเธฃเธฑเธšเธเธฒเธฃเน€เธŠเธทเนˆเธญเธกเธ•เนˆเธญ API" +objectStorageUseSSLDesc: "เธ›เธดเธ”เธเธฒเธฃเธ—เธณเธ‡เธฒเธ™เธ™เธตเน‰เน„เธงเน‰ เธ–เน‰เธฒเธซเธฒเธเธ„เธธเธ“เธˆเธฐเน„เธกเนˆเนƒเธŠเน‰ HTTPS เธชเธณเธซเธฃเธฑเธšเธเธฒเธฃเน€เธŠเธทเนˆเธญเธกเธ•เนˆเธญ + API" objectStorageUseProxy: "เน€เธŠเธทเนˆเธญเธกเธ•เนˆเธญเธœเนˆเธฒเธ™เธžเธฃเน‡เธญเธเธ‹เธต" -objectStorageUseProxyDesc: "เธ›เธดเธ”เธชเธดเนˆเธ‡เธ™เธตเน‰เน„เธงเน‰เธ–เน‰เธฒเธซเธฒเธเธ„เธธเธ“เธˆเธฐเน„เธกเนˆเนƒเธŠเน‰ Proxy เธชเธณเธซเธฃเธฑเธšเธเธฒเธฃเน€เธŠเธทเนˆเธญเธกเธ•เนˆเธญ API" +objectStorageUseProxyDesc: "เธ›เธดเธ”เธชเธดเนˆเธ‡เธ™เธตเน‰เน„เธงเน‰เธ–เน‰เธฒเธซเธฒเธเธ„เธธเธ“เธˆเธฐเน„เธกเนˆเนƒเธŠเน‰ Proxy เธชเธณเธซเธฃเธฑเธšเธเธฒเธฃเน€เธŠเธทเนˆเธญเธกเธ•เนˆเธญ + API" objectStorageSetPublicRead: "เธ•เธฑเน‰เธ‡เธ„เนˆเธฒ \"public-read\" เนƒเธ™เธเธฒเธฃเธญเธฑเธ›เน‚เธซเธฅเธ”" serverLogs: "เธšเธฑเธ™เธ—เธถเธเธ‚เธญเธ‡เน€เธ‹เธดเธฃเนŒเธŸเน€เธงเธญเธฃเนŒ" deleteAll: "เธฅเธšเธ—เธฑเน‰เธ‡เธซเธกเธ”" @@ -523,7 +546,8 @@ sort: "เน€เธฃเธตเธขเธ‡เธฅเธณเธ”เธฑเธš" ascendingOrder: "เน€เธฃเธตเธขเธ‡เธˆเธฒเธเธ™เน‰เธญเธขเน„เธ›เธกเธฒเธ" descendingOrder: "เน€เธฃเธตเธขเธ‡เธˆเธฒเธเธกเธฒเธเน„เธ›เธ™เน‰เธญเธข" scratchpad: "เธเธฃเธฐเธ”เธฒเธ™เธ—เธ”เธฅเธญเธ‡" -scratchpadDescription: "Scratchpad เน€เธ›เน‡เธ™เธเธฒเธฃเธˆเธฑเธ”เน€เธ•เธฃเธตเธขเธกเธชเธ เธฒเธžเนเธงเธ”เธฅเน‰เธญเธกเธชเธณเธซเธฃเธฑเธšเธเธฒเธฃเธ—เธ”เธฅเธญเธ‡ AiScript เนเธ•เนˆเธ„เธธเธ“เธชเธฒเธกเธฒเธฃเธ–เน€เธ‚เธตเธขเธ™ เธ”เธณเน€เธ™เธดเธ™เธเธฒเธฃ เนเธฅเธฐเธ•เธฃเธงเธˆเธชเธญเธšเธœเธฅเธฅเธฑเธžเธ˜เนŒเธ‚เธญเธ‡เธเธฒเธฃเน‚เธ•เน‰เธ•เธญเธšเธเธฑเธš Firefish เธกเธฑเธ™เน„เธ”เน‰เธ”เน‰เธงเธขเธ™เธฐ" +scratchpadDescription: "Scratchpad เน€เธ›เน‡เธ™เธเธฒเธฃเธˆเธฑเธ”เน€เธ•เธฃเธตเธขเธกเธชเธ เธฒเธžเนเธงเธ”เธฅเน‰เธญเธกเธชเธณเธซเธฃเธฑเธšเธเธฒเธฃเธ—เธ”เธฅเธญเธ‡ AiScript + เนเธ•เนˆเธ„เธธเธ“เธชเธฒเธกเธฒเธฃเธ–เน€เธ‚เธตเธขเธ™ เธ”เธณเน€เธ™เธดเธ™เธเธฒเธฃ เนเธฅเธฐเธ•เธฃเธงเธˆเธชเธญเธšเธœเธฅเธฅเธฑเธžเธ˜เนŒเธ‚เธญเธ‡เธเธฒเธฃเน‚เธ•เน‰เธ•เธญเธšเธเธฑเธš Firefish เธกเธฑเธ™เน„เธ”เน‰เธ”เน‰เธงเธขเธ™เธฐ" output: "เน€เธญเธฒเธ—เนŒเธžเธธเธ•" script: "เธชเธ„เธฃเธดเธ›เธ•เนŒ" disablePagesScript: "เธ›เธดเธ”เธเธฒเธฃเนƒเธŠเน‰เธ‡เธฒเธ™ AiScript เธšเธ™เน€เธžเธˆ" @@ -531,11 +555,14 @@ updateRemoteUser: "เธญเธฑเธ›เน€เธ”เธ•เธ‚เน‰เธญเธกเธนเธฅเธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒ deleteAllFiles: "เธฅเธšเน„เธŸเธฅเนŒเธ—เธฑเน‰เธ‡เธซเธกเธ”" deleteAllFilesConfirm: "เธ™เธฒเธขเนเธ™เนˆเนƒเธˆเนเธฅเน‰เธงเธซเธฃเธญเธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธ—เธตเนˆเธˆเธฐเธฅเธšเน„เธŸเธฅเนŒเธ—เธฑเน‰เธ‡เธซเธกเธ”?" removeAllFollowing: "เน€เธฅเธดเธเธ•เธดเธ”เธ•เธฒเธกเธœเธนเน‰เนƒเธŠเน‰เธ—เธตเนˆเธ•เธดเธ”เธ•เธฒเธกเธ—เธฑเน‰เธ‡เธซเธกเธ”" -removeAllFollowingDescription: "เธเธฒเธฃเธ—เธตเนˆเธ„เธธเธ“เธ”เธณเน€เธ™เธดเธ™เธเธฒเธฃเธ™เธตเน‰เธˆเธฐเน€เธฅเธดเธเธ•เธดเธ”เธ•เธฒเธกเธšเธฑเธเธŠเธตเธ—เธฑเน‰เธ‡เธซเธกเธ”เธˆเธฒเธ {host} เน‚เธ›เธฃเธ”เน€เธฃเธตเธขเธเนƒเธŠเน‰เธ„เธณเธชเธฑเนˆเธ‡เธชเธดเนˆเธ‡เธ™เธตเน‰เธซเธฒเธเธ•เน‰เธญเธ‡เธเธฒเธฃเธขเธเน€เธฅเธดเธเธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒ เน€เธŠเนˆเธ™ เน„เธกเนˆเธกเธตเธญเธขเธนเนˆเนเธฅเน‰เธง" +removeAllFollowingDescription: "เธเธฒเธฃเธ—เธตเนˆเธ„เธธเธ“เธ”เธณเน€เธ™เธดเธ™เธเธฒเธฃเธ™เธตเน‰เธˆเธฐเน€เธฅเธดเธเธ•เธดเธ”เธ•เธฒเธกเธšเธฑเธเธŠเธตเธ—เธฑเน‰เธ‡เธซเธกเธ”เธˆเธฒเธ {host} + เน‚เธ›เธฃเธ”เน€เธฃเธตเธขเธเนƒเธŠเน‰เธ„เธณเธชเธฑเนˆเธ‡เธชเธดเนˆเธ‡เธ™เธตเน‰เธซเธฒเธเธ•เน‰เธญเธ‡เธเธฒเธฃเธขเธเน€เธฅเธดเธเธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒ เน€เธŠเนˆเธ™ เน„เธกเนˆเธกเธตเธญเธขเธนเนˆเนเธฅเน‰เธง" userSuspended: "เธœเธนเน‰เนƒเธŠเน‰เธฃเธฒเธขเธ™เธตเน‰เธ–เธนเธเธฃเธฐเธ‡เธฑเธšเธเธฒเธฃเนƒเธŠเน‰เธ‡เธฒเธ™" userSilenced: "เธœเธนเน‰เนƒเธŠเน‰เธฃเธฒเธขเธ™เธตเน‰เธเธณเธฅเธฑเธ‡เธ–เธนเธเธ›เธดเธ”เธเธฑเน‰เธ™" yourAccountSuspendedTitle: "เธšเธฑเธเธŠเธตเธ™เธตเน‰เธ™เธฑเน‰เธ™เธ–เธนเธเธฃเธฐเธ‡เธฑเธš" -yourAccountSuspendedDescription: "เธšเธฑเธเธŠเธตเธ™เธตเน‰เธ–เธนเธเธฃเธฐเธ‡เธฑเธš เน€เธ™เธทเนˆเธญเธ‡เธˆเธฒเธเธฅเธฐเน€เธกเธดเธ”เธ‚เน‰เธญเธเธณเธซเธ™เธ”เนƒเธ™เธเธฒเธฃเนƒเธซเน‰เธšเธฃเธดเธเธฒเธฃเธ‚เธญเธ‡เน€เธ‹เธดเธฃเนŒเธŸเน€เธงเธญเธฃเนŒเธซเธฃเธทเธญเธญเธฒเธˆเธˆเธฐเธฅเธฐเน€เธกเธดเธ”เธซเธฅเธฑเธเน€เธเธ“เธ‘เนŒเธŠเธธเธกเธŠเธ™ เธซเธฃเธทเธญ เธญเธฒเธˆเธˆเธฐเน‚เธ”เธ™เธฃเน‰เธญเธ‡เน€เธฃเธตเธขเธ™เน€เธฃเธทเนˆเธญเธ‡เธเธฒเธฃเธฅเธฐเน€เธกเธดเธ”เธฅเธดเธ‚เธชเธดเธ—เธ˜เธดเนŒเนเธฅเธฐเธญเธทเนˆเธ™เน†เธญเธขเนˆเธฒเธ‡เธ•เนˆเธญเน€เธ™เธทเนˆเธญเธ‡เธ‹เน‰เธณเน† เธซเธฒเธเธ„เธธเธ“เธ„เธดเธ”เธงเนˆเธฒเน„เธกเนˆเน„เธ”เน‰เธ—เธณเธœเธดเธ”เธˆเธฃเธดเธ‡เน†เธซเธฃเธทเธญเธ•เธฑเธ”เธชเธดเธ™เธœเธดเธ”เธžเธฅเธฒเธ” เน„เธ”เน‰เน‚เธ›เธฃเธ”เธเธฃเธธเธ“เธฒเธ•เธดเธ”เธ•เนˆเธญเธœเธนเน‰เธ”เธนเนเธฅเธฃเธฐเธšเธšเธซเธฒเธเธ„เธธเธ“เธ•เน‰เธญเธ‡เธเธฒเธฃเธ—เธฃเธฒเธšเน€เธซเธ•เธธเธœเธฅเน‚เธ”เธขเธฅเธฐเน€เธญเธตเธขเธ”เน€เธžเธดเนˆเธกเน€เธ•เธดเธก เนเธฅเธฐเธ‚เธญเธ„เธงเธฒเธกเธเธฃเธธเธ“เธฒเธญเธขเนˆเธฒเธชเธฃเน‰เธฒเธ‡เธšเธฑเธเธŠเธตเนƒเธซเธกเนˆ" +yourAccountSuspendedDescription: "เธšเธฑเธเธŠเธตเธ™เธตเน‰เธ–เธนเธเธฃเธฐเธ‡เธฑเธš เน€เธ™เธทเนˆเธญเธ‡เธˆเธฒเธเธฅเธฐเน€เธกเธดเธ”เธ‚เน‰เธญเธเธณเธซเธ™เธ”เนƒเธ™เธเธฒเธฃเนƒเธซเน‰เธšเธฃเธดเธเธฒเธฃเธ‚เธญเธ‡เน€เธ‹เธดเธฃเนŒเธŸเน€เธงเธญเธฃเนŒเธซเธฃเธทเธญเธญเธฒเธˆเธˆเธฐเธฅเธฐเน€เธกเธดเธ”เธซเธฅเธฑเธเน€เธเธ“เธ‘เนŒเธŠเธธเธกเธŠเธ™ + เธซเธฃเธทเธญ เธญเธฒเธˆเธˆเธฐเน‚เธ”เธ™เธฃเน‰เธญเธ‡เน€เธฃเธตเธขเธ™เน€เธฃเธทเนˆเธญเธ‡เธเธฒเธฃเธฅเธฐเน€เธกเธดเธ”เธฅเธดเธ‚เธชเธดเธ—เธ˜เธดเนŒเนเธฅเธฐเธญเธทเนˆเธ™เน†เธญเธขเนˆเธฒเธ‡เธ•เนˆเธญเน€เธ™เธทเนˆเธญเธ‡เธ‹เน‰เธณเน† เธซเธฒเธเธ„เธธเธ“เธ„เธดเธ”เธงเนˆเธฒเน„เธกเนˆเน„เธ”เน‰เธ—เธณเธœเธดเธ”เธˆเธฃเธดเธ‡เน†เธซเธฃเธทเธญเธ•เธฑเธ”เธชเธดเธ™เธœเธดเธ”เธžเธฅเธฒเธ” + เน„เธ”เน‰เน‚เธ›เธฃเธ”เธเธฃเธธเธ“เธฒเธ•เธดเธ”เธ•เนˆเธญเธœเธนเน‰เธ”เธนเนเธฅเธฃเธฐเธšเธšเธซเธฒเธเธ„เธธเธ“เธ•เน‰เธญเธ‡เธเธฒเธฃเธ—เธฃเธฒเธšเน€เธซเธ•เธธเธœเธฅเน‚เธ”เธขเธฅเธฐเน€เธญเธตเธขเธ”เน€เธžเธดเนˆเธกเน€เธ•เธดเธก เนเธฅเธฐเธ‚เธญเธ„เธงเธฒเธกเธเธฃเธธเธ“เธฒเธญเธขเนˆเธฒเธชเธฃเน‰เธฒเธ‡เธšเธฑเธเธŠเธตเนƒเธซเธกเนˆ" menu: "เน€เธกเธ™เธน" divider: "เธ•เธฑเธงเนเธšเนˆเธ‡" addItem: "เน€เธžเธดเนˆเธกเธฃเธฒเธขเธเธฒเธฃ" @@ -589,13 +616,15 @@ smtpHost: "เน‚เธฎเธชเธ•เนŒ" smtpPort: "เธžเธญเธฃเนŒเธ•" smtpUser: "เธŠเธทเนˆเธญเธœเธนเน‰เนƒเธŠเน‰" smtpPass: "เธฃเธซเธฑเธชเธœเนˆเธฒเธ™" -emptyToDisableSmtpAuth: "เธ›เธฅเนˆเธญเธขเธŠเธทเนˆเธญเธœเธนเน‰เนƒเธŠเน‰เนเธฅเธฐเธฃเธซเธฑเธชเธœเนˆเธฒเธ™เธงเนˆเธฒเธ‡เน„เธงเน‰เน€เธžเธทเนˆเธญเธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™เธเธฒเธฃเธขเธทเธ™เธขเธฑเธ™ SMTP" +emptyToDisableSmtpAuth: "เธ›เธฅเนˆเธญเธขเธŠเธทเนˆเธญเธœเธนเน‰เนƒเธŠเน‰เนเธฅเธฐเธฃเธซเธฑเธชเธœเนˆเธฒเธ™เธงเนˆเธฒเธ‡เน„เธงเน‰เน€เธžเธทเนˆเธญเธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™เธเธฒเธฃเธขเธทเธ™เธขเธฑเธ™ + SMTP" smtpSecure: "เนƒเธŠเน‰เน‚เธ”เธขเธ™เธฑเธข SSL/TLS เธชเธณเธซเธฃเธฑเธšเธเธฒเธฃเน€เธŠเธทเนˆเธญเธกเธ•เนˆเธญ SMTP" smtpSecureInfo: "เธ›เธดเธ”เธชเธดเนˆเธ‡เธ™เธตเน‰เน€เธกเธทเนˆเธญเนƒเธŠเน‰ STARTTLS" testEmail: "เธ—เธ”เธชเธญเธšเธเธฒเธฃเธชเนˆเธ‡เธญเธตเน€เธกเธฅ" wordMute: "เธ›เธดเธ”เน€เธชเธตเธขเธ‡เธ„เธณ" regexpError: "เธ‚เน‰เธญเธœเธดเธ”เธžเธฅเธฒเธ”เธ‚เธญเธ‡เธ™เธดเธžเธˆเธ™เนŒเธ—เธฑเนˆเธงเน„เธ›" -regexpErrorDescription: "เน€เธเธดเธ”เธ‚เน‰เธญเธœเธดเธ”เธžเธฅเธฒเธ”เนƒเธ™เธ™เธดเธžเธˆเธ™เนŒเธ—เธฑเนˆเธงเน„เธ›เนƒเธ™เธšเธฃเธฃเธ—เธฑเธ”เธ—เธตเนˆ {line} เธ‚เธญเธ‡เธเธฒเธฃเธ›เธดเธ”เน€เธชเธตเธขเธ‡เธ„เธณ {tab} เธ‚เธญเธ‡เธ„เธธเธ“:" +regexpErrorDescription: "เน€เธเธดเธ”เธ‚เน‰เธญเธœเธดเธ”เธžเธฅเธฒเธ”เนƒเธ™เธ™เธดเธžเธˆเธ™เนŒเธ—เธฑเนˆเธงเน„เธ›เนƒเธ™เธšเธฃเธฃเธ—เธฑเธ”เธ—เธตเนˆ {line} เธ‚เธญเธ‡เธเธฒเธฃเธ›เธดเธ”เน€เธชเธตเธขเธ‡เธ„เธณ + {tab} เธ‚เธญเธ‡เธ„เธธเธ“:" instanceMute: "เธ›เธดเธ”เน€เธชเธตเธขเธ‡ เธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒ" userSaysSomething: "{name} เธžเธนเธ”เธญเธฐเน„เธฃเธšเธฒเธ‡เธญเธขเนˆเธฒเธ‡" makeActive: "เน€เธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™" @@ -611,10 +640,12 @@ create: "เธชเธฃเน‰เธฒเธ‡" notificationSetting: "เธ•เธฑเน‰เธ‡เธ„เนˆเธฒเธเธฒเธฃเนเธˆเน‰เธ‡เน€เธ•เธทเธญเธ™" notificationSettingDesc: "เน€เธฅเธทเธญเธเธ›เธฃเธฐเน€เธ เธ—เธเธฒเธฃเนเธˆเน‰เธ‡เน€เธ•เธทเธญเธ™เธ—เธตเนˆเธ•เน‰เธญเธ‡เธเธฒเธฃเธˆเธฐเนเธชเธ”เธ‡" useGlobalSetting: "เนƒเธŠเน‰เธเธฒเธฃเธ•เธฑเน‰เธ‡เธ„เนˆเธฒเธชเนˆเธงเธ™เธเธฅเธฒเธ‡" -useGlobalSettingDesc: "เธซเธฒเธเน€เธ›เธดเธ”เน„เธงเน‰ เธฃเธฐเธšเธšเธˆเธฐเนƒเธŠเน‰เธเธฒเธฃเธ•เธฑเน‰เธ‡เธ„เนˆเธฒเธเธฒเธฃเนเธˆเน‰เธ‡เน€เธ•เธทเธญเธ™เธ‚เธญเธ‡เธšเธฑเธเธŠเธตเธ‚เธญเธ‡เธ„เธธเธ“ เธซเธฒเธเธ›เธดเธ”เธญเธขเธนเนˆ เธชเธฒเธกเธฒเธฃเธ–เธ—เธณเธเธฒเธฃเธเธณเธซเธ™เธ”เธ„เนˆเธฒเนเธ•เนˆเธฅเธฐเธฃเธฒเธขเธเธฒเธฃเน„เธ”เน‰เธ™เธฐ" +useGlobalSettingDesc: "เธซเธฒเธเน€เธ›เธดเธ”เน„เธงเน‰ เธฃเธฐเธšเธšเธˆเธฐเนƒเธŠเน‰เธเธฒเธฃเธ•เธฑเน‰เธ‡เธ„เนˆเธฒเธเธฒเธฃเนเธˆเน‰เธ‡เน€เธ•เธทเธญเธ™เธ‚เธญเธ‡เธšเธฑเธเธŠเธตเธ‚เธญเธ‡เธ„เธธเธ“ เธซเธฒเธเธ›เธดเธ”เธญเธขเธนเนˆ + เธชเธฒเธกเธฒเธฃเธ–เธ—เธณเธเธฒเธฃเธเธณเธซเธ™เธ”เธ„เนˆเธฒเนเธ•เนˆเธฅเธฐเธฃเธฒเธขเธเธฒเธฃเน„เธ”เน‰เธ™เธฐ" other: "เธญเธทเนˆเธ™ เน†" regenerateLoginToken: "เธชเธฃเน‰เธฒเธ‡เน‚เธ—เน€เธ„เน‡เธ™เธเธฒเธฃเน€เธ‚เน‰เธฒเธชเธนเนˆเธฃเธฐเธšเธšเธญเธตเธเธ„เธฃเธฑเน‰เธ‡" -regenerateLoginTokenDescription: "เธชเธฃเน‰เธฒเธ‡เน‚เธ—เน€เธ„เน‡เธ™เนƒเธซเธกเนˆเธ—เธตเนˆเนƒเธŠเน‰เธ เธฒเธขเนƒเธ™เธฃเธฐเธซเธงเนˆเธฒเธ‡เธเธฒเธฃเน€เธ‚เน‰เธฒเธชเธนเนˆเธฃเธฐเธšเธš เน‚เธ”เธขเธ•เธฒเธกเธซเธฅเธฑเธเธ›เธเธ•เธดเนเธฅเน‰เธงเธเธฒเธฃเธ”เธณเน€เธ™เธดเธ™เธเธฒเธฃเธ™เธตเน‰เน„เธกเนˆเธˆเธณเน€เธ›เน‡เธ™ เธซเธฒเธเธชเธฃเน‰เธฒเธ‡เนƒเธซเธกเนˆ เธญเธธเธ›เธเธฃเธ“เนŒเธ—เธฑเน‰เธ‡เธซเธกเธ”เธˆเธฐเธ–เธนเธเธญเธญเธเธˆเธฒเธเธฃเธฐเธšเธšเธ™เธฐ" +regenerateLoginTokenDescription: "เธชเธฃเน‰เธฒเธ‡เน‚เธ—เน€เธ„เน‡เธ™เนƒเธซเธกเนˆเธ—เธตเนˆเนƒเธŠเน‰เธ เธฒเธขเนƒเธ™เธฃเธฐเธซเธงเนˆเธฒเธ‡เธเธฒเธฃเน€เธ‚เน‰เธฒเธชเธนเนˆเธฃเธฐเธšเธš + เน‚เธ”เธขเธ•เธฒเธกเธซเธฅเธฑเธเธ›เธเธ•เธดเนเธฅเน‰เธงเธเธฒเธฃเธ”เธณเน€เธ™เธดเธ™เธเธฒเธฃเธ™เธตเน‰เน„เธกเนˆเธˆเธณเน€เธ›เน‡เธ™ เธซเธฒเธเธชเธฃเน‰เธฒเธ‡เนƒเธซเธกเนˆ เธญเธธเธ›เธเธฃเธ“เนŒเธ—เธฑเน‰เธ‡เธซเธกเธ”เธˆเธฐเธ–เธนเธเธญเธญเธเธˆเธฒเธเธฃเธฐเธšเธšเธ™เธฐ" setMultipleBySeparatingWithSpace: "เธ„เธฑเนˆเธ™เธซเธฅเธฒเธขเธฃเธฒเธขเธเธฒเธฃเธ”เน‰เธงเธขเธŠเนˆเธญเธ‡เธงเนˆเธฒเธ‡" fileIdOrUrl: "เน„เธŸเธฅเนŒ ID เธซเธฃเธทเธญ URL" behavior: "เธžเธคเธ•เธดเธเธฃเธฃเธก" @@ -622,7 +653,8 @@ sample: "เธ•เธฑเธงเธญเธขเนˆเธฒเธ‡" abuseReports: "เธฃเธฒเธขเธ‡เธฒเธ™" reportAbuse: "เธฃเธฒเธขเธ‡เธฒเธ™" reportAbuseOf: "เธฃเธฒเธขเธ‡เธฒเธ™ {เธŠเธทเนˆเธญ}" -fillAbuseReportDescription: "เธเธฃเธธเธ“เธฒเธเธฃเธญเธเธฃเธฒเธขเธฅเธฐเน€เธญเธตเธขเธ”เน€เธเธตเนˆเธขเธงเธเธฑเธšเธฃเธฒเธขเธ‡เธฒเธ™เธ™เธตเน‰ เธซเธฒเธเน€เธ›เน‡เธ™เน€เธฃเธทเนˆเธญเธ‡เน€เธเธตเนˆเธขเธงเธเธฑเธšเน‚เธ™เน‰เธ•เน‚เธ”เธขเน€เธ‰เธžเธฒเธฐ เน„เธ”เน‰เน‚เธ›เธฃเธ”เธฃเธฐเธšเธธ URL" +fillAbuseReportDescription: "เธเธฃเธธเธ“เธฒเธเธฃเธญเธเธฃเธฒเธขเธฅเธฐเน€เธญเธตเธขเธ”เน€เธเธตเนˆเธขเธงเธเธฑเธšเธฃเธฒเธขเธ‡เธฒเธ™เธ™เธตเน‰ เธซเธฒเธเน€เธ›เน‡เธ™เน€เธฃเธทเนˆเธญเธ‡เน€เธเธตเนˆเธขเธงเธเธฑเธšเน‚เธ™เน‰เธ•เน‚เธ”เธขเน€เธ‰เธžเธฒเธฐ + เน„เธ”เน‰เน‚เธ›เธฃเธ”เธฃเธฐเธšเธธ URL" abuseReported: "เน€เธฃเธฒเน„เธ”เน‰เธชเนˆเธ‡เธฃเธฒเธขเธ‡เธฒเธ™เธ‚เธญเธ‡เธ„เธธเธ“เน„เธ›เนเธฅเน‰เธง เธ‚เธญเธšเธ„เธธเธ“เธกเธฒเธเน†เธ™เธฐ" reporter: "เธ™เธฑเธเธ‚เนˆเธฒเธง" reporteeOrigin: "เธฃเธฒเธขเธ‡เธฒเธ™เธ•เน‰เธ™เธ—เธฒเธ‡" @@ -648,7 +680,8 @@ createNewClip: "เธชเธฃเน‰เธฒเธ‡เธ„เธฅเธดเธ›เนƒเธซเธกเนˆ" unclip: "เธฅเธšเธ„เธฅเธดเธ›" confirmToUnclipAlreadyClippedNote: "เน‚เธ™เน‰เธ•เธ™เธตเน‰เน€เธ›เน‡เธ™เธชเนˆเธงเธ™เธซเธ™เธถเนˆเธ‡เธ‚เธญเธ‡เธ„เธฅเธดเธ› \"{name}\" เนเธฅเน‰เธง เธ„เธธเธ“เธ•เน‰เธญเธ‡เธเธฒเธฃเธฅเธšเธญเธญเธเธˆเธฒเธเธ„เธฅเธดเธ›เธ™เธตเน‰เนเธ—เธ™เธญเธขเนˆเธฒเธ‡เธ‡เธฑเน‰เธ™เธซเธฃเธญ?" public: "เธชเธฒเธ˜เธฒเธฃเธ“เธฐ" -i18nInfo: "Firefish เธเธณเธฅเธฑเธ‡เน„เธ”เน‰เธฃเธฑเธšเธเธฒเธฃเนเธ›เธฅเน€เธ›เน‡เธ™เธ เธฒเธฉเธฒเธ•เนˆเธฒเธ‡เน† เน‚เธ”เธขเธญเธฒเธชเธฒเธชเธกเธฑเธ„เธฃ เธ„เธธเธ“เธชเธฒเธกเธฒเธฃเธ–เธŠเนˆเธงเธขเน€เธซเธฅเธทเธญเน„เธ”เน‰เธ—เธตเนˆ {link}" +i18nInfo: "Firefish เธเธณเธฅเธฑเธ‡เน„เธ”เน‰เธฃเธฑเธšเธเธฒเธฃเนเธ›เธฅเน€เธ›เน‡เธ™เธ เธฒเธฉเธฒเธ•เนˆเธฒเธ‡เน† เน‚เธ”เธขเธญเธฒเธชเธฒเธชเธกเธฑเธ„เธฃ เธ„เธธเธ“เธชเธฒเธกเธฒเธฃเธ–เธŠเนˆเธงเธขเน€เธซเธฅเธทเธญเน„เธ”เน‰เธ—เธตเนˆ + {link}" manageAccessTokens: "เธเธฒเธฃเธˆเธฑเธ”เธเธฒเธฃเน‚เธ—เน€เธ„เน‡เธ™เธเธฒเธฃเน€เธ‚เน‰เธฒเธ–เธถเธ‡" accountInfo: "เธ‚เน‰เธญเธกเธนเธฅเธšเธฑเธเธŠเธต" notesCount: "เธˆเธณเธ™เธงเธ™เธ‚เธญเธ‡เน‚เธ™เน‰เธ•" @@ -667,8 +700,10 @@ no: "เน„เธกเนˆ" driveFilesCount: "เธˆเธณเธ™เธงเธ™เน„เธŸเธฅเนŒเน„เธ”เธฃเธŸเนŒ" driveUsage: "เธเธฒเธฃเนƒเธŠเน‰เธžเธทเน‰เธ™เธ—เธตเนˆเน„เธ”เธฃเธŸเนŒ" noCrawle: "เธ›เธเธดเน€เธชเธ˜เธเธฒเธฃเธˆเธฑเธ”เธ—เธณเธ”เธฑเธŠเธ™เธตเธ‚เธญเธ‡เน‚เธ›เธฃเนเธเธฃเธกเธฃเธงเธšเธฃเธงเธกเธ‚เน‰เธญเธกเธนเธฅ" -noCrawleDescription: "เธ‚เธญเนƒเธซเน‰เน€เธ„เธฃเธทเนˆเธญเธ‡เธกเธทเธญเธ„เน‰เธ™เธซเธฒเน„เธกเนˆเธˆเธฑเธ”เธ—เธณเธ”เธฑเธŠเธ™เธตเธซเธ™เน‰เธฒเน‚เธ›เธฃเน„เธŸเธฅเนŒ เธšเธฑเธ™เธ—เธถเธเธขเนˆเธญ เธซเธ™เน‰เธฒ เธฏเธฅเธฏ" -lockedAccountInfo: "เน€เธงเน‰เธ™เนเธ•เนˆเธงเนˆเธฒเธ„เธธเธ“เธˆเธฐเธ•เน‰เธญเธ‡เธ•เธฑเน‰เธ‡เธ„เนˆเธฒเธเธฒเธฃเน€เธ›เธดเธ”เน€เธœเธขเน‚เธ™เน‰เธ•เน€เธ›เน‡เธ™ \"เธœเธนเน‰เธ•เธดเธ”เธ•เธฒเธกเน€เธ—เนˆเธฒเธ™เธฑเน‰เธ™\" เน‚เธ™เน‰เธ•เธขเนˆเธญเธ‚เธญเธ‡เธ„เธธเธ“เธˆเธฐเธ›เธฃเธฒเธเธเนเธเนˆเธ—เธธเธเธ„เธ™ เธ–เธถเธ‡เนเธกเน‰เธงเนˆเธฒเธ„เธธเธ“เธˆเธฐเน€เธ›เน‡เธ™เธเธณเธซเธ™เธ”เนƒเธซเน‰เธœเธนเน‰เธ•เธดเธ”เธ•เธฒเธกเธ•เน‰เธญเธ‡เน„เธ”เน‰เธฃเธฑเธšเธเธฒเธฃเธญเธ™เธธเธกเธฑเธ•เธดเธ”เน‰เธงเธขเธ•เธ™เน€เธญเธ‡เธเน‡เธ•เธฒเธก" +noCrawleDescription: "เธ‚เธญเนƒเธซเน‰เน€เธ„เธฃเธทเนˆเธญเธ‡เธกเธทเธญเธ„เน‰เธ™เธซเธฒเน„เธกเนˆเธˆเธฑเธ”เธ—เธณเธ”เธฑเธŠเธ™เธตเธซเธ™เน‰เธฒเน‚เธ›เธฃเน„เธŸเธฅเนŒ เธšเธฑเธ™เธ—เธถเธเธขเนˆเธญ เธซเธ™เน‰เธฒ + เธฏเธฅเธฏ" +lockedAccountInfo: "เน€เธงเน‰เธ™เนเธ•เนˆเธงเนˆเธฒเธ„เธธเธ“เธˆเธฐเธ•เน‰เธญเธ‡เธ•เธฑเน‰เธ‡เธ„เนˆเธฒเธเธฒเธฃเน€เธ›เธดเธ”เน€เธœเธขเน‚เธ™เน‰เธ•เน€เธ›เน‡เธ™ \"เธœเธนเน‰เธ•เธดเธ”เธ•เธฒเธกเน€เธ—เนˆเธฒเธ™เธฑเน‰เธ™\"\ + \ เน‚เธ™เน‰เธ•เธขเนˆเธญเธ‚เธญเธ‡เธ„เธธเธ“เธˆเธฐเธ›เธฃเธฒเธเธเนเธเนˆเธ—เธธเธเธ„เธ™ เธ–เธถเธ‡เนเธกเน‰เธงเนˆเธฒเธ„เธธเธ“เธˆเธฐเน€เธ›เน‡เธ™เธเธณเธซเธ™เธ”เนƒเธซเน‰เธœเธนเน‰เธ•เธดเธ”เธ•เธฒเธกเธ•เน‰เธญเธ‡เน„เธ”เน‰เธฃเธฑเธšเธเธฒเธฃเธญเธ™เธธเธกเธฑเธ•เธดเธ”เน‰เธงเธขเธ•เธ™เน€เธญเธ‡เธเน‡เธ•เธฒเธก" alwaysMarkSensitive: "เธ—เธณเน€เธ„เธฃเธทเนˆเธญเธ‡เธซเธกเธฒเธขเน€เธ›เน‡เธ™ NSFW เน€เธ›เน‡เธ™เธ„เนˆเธฒเน€เธฃเธดเนˆเธกเธ•เน‰เธ™" loadRawImages: "เน‚เธซเธฅเธ”เธ เธฒเธžเธ•เน‰เธ™เธ‰เธšเธฑเธšเนเธ—เธ™เธเธฒเธฃเนเธชเธ”เธ‡เธ เธฒเธžเธ‚เธ™เธฒเธ”เธขเนˆเธญ" disableShowingAnimatedImages: "เน„เธกเนˆเธ•เน‰เธญเธ‡เน€เธฅเนˆเธ™เธ เธฒเธžเน€เธ„เธฅเธทเนˆเธญเธ™เน„เธซเธง" @@ -684,7 +719,8 @@ clips: "เธ„เธฅเธดเธ›" experimentalFeatures: "เธŸเธฑเธ‡เธเนŒเธŠเธฑเนˆเธ™เธ—เธ”เธชเธญเธš" developer: "เธชเธณเธซเธฃเธฑเธšเธ™เธฑเธเธžเธฑเธ’เธ™เธฒ" makeExplorable: "เธ—เธณเนƒเธซเน‰เธšเธฑเธเธŠเธตเธกเธญเธ‡เน€เธซเน‡เธ™เนƒเธ™ \"เธชเธณเธฃเธงเธˆ\"" -makeExplorableDescription: "เธ–เน‰เธฒเธซเธฒเธเธ„เธธเธ“เธ›เธดเธ”เธเธฒเธฃเธ—เธณเธ‡เธฒเธ™เธ™เธตเน‰ เธšเธฑเธเธŠเธตเธ‚เธญเธ‡เธ„เธธเธ“เธ™เธฑเน‰เธ™เธˆเธฐเน„เธกเนˆเนเธชเธ”เธ‡เนƒเธ™เธชเนˆเธงเธ™ \"เธชเธณเธฃเธงเธˆ\" เธ™เธฐ" +makeExplorableDescription: "เธ–เน‰เธฒเธซเธฒเธเธ„เธธเธ“เธ›เธดเธ”เธเธฒเธฃเธ—เธณเธ‡เธฒเธ™เธ™เธตเน‰ เธšเธฑเธเธŠเธตเธ‚เธญเธ‡เธ„เธธเธ“เธ™เธฑเน‰เธ™เธˆเธฐเน„เธกเนˆเนเธชเธ”เธ‡เนƒเธ™เธชเนˆเธงเธ™ + \"เธชเธณเธฃเธงเธˆ\" เธ™เธฐ" showGapBetweenNotesInTimeline: "เนเธชเธ”เธ‡เธŠเนˆเธญเธ‡เธงเนˆเธฒเธ‡เธฃเธฐเธซเธงเนˆเธฒเธ‡เน‚เธžเธชเธ•เนŒเธšเธ™เน„เธ—เธกเนŒเน„เธฅเธ™เนŒ" duplicate: "เธ—เธณเธ‹เน‰เธณ" left: "เธ‹เน‰เธฒเธข" @@ -699,7 +735,9 @@ onlineUsersCount: "{n} เธœเธนเน‰เนƒเธŠเน‰เธ„เธ™เธ™เธตเน‰เธเธณเธฅเธฑเธ‡เธญเธญเธ™ nUsers: "{n} เธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™" nNotes: "{n} เน‚เธ™เน‰เธ•" sendErrorReports: "เธชเนˆเธ‡เธฃเธฒเธขเธ‡เธฒเธ™เธงเนˆเธฒเธ‚เน‰เธญเธœเธดเธ”เธžเธฅเธฒเธ”" -sendErrorReportsDescription: "เน€เธกเธทเนˆเธญเน€เธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™ เธ‚เน‰เธญเธกเธนเธฅเธ‚เน‰เธญเธœเธดเธ”เธžเธฅเธฒเธ”เน‚เธ”เธขเธฃเธฒเธขเธฅเธฐเน€เธญเธตเธขเธ”เธ™เธฑเน‰เธ™เธˆเธฐเธ–เธนเธเนเธŠเธฃเนŒเนƒเธซเน‰เธเธฑเธš Firefish เน€เธกเธทเนˆเธญเน€เธเธดเธ”เธ›เธฑเธเธซเธฒ เธ‹เธถเนˆเธ‡เธŠเนˆเธงเธขเธ›เธฃเธฑเธšเธ›เธฃเธธเธ‡เธ„เธธเธ“เธ เธฒเธžเธ‚เธญเธ‡ Firefish\nเธ‹เธถเนˆเธ‡เธˆเธฐเธฃเธงเธกเธ–เธถเธ‡เธ‚เน‰เธญเธกเธนเธฅ เน€เธŠเนˆเธ™ เน€เธงเธญเธฃเนŒเธŠเธฑเนˆเธ™เธ‚เธญเธ‡เธฃเธฐเธšเธšเธ›เธเธดเธšเธฑเธ•เธดเธเธฒเธฃ เน€เธšเธฃเธฒเธงเนŒเน€เธ‹เธญเธฃเนŒเธ—เธตเนˆเธ„เธธเธ“เนƒเธŠเน‰ เธเธดเธˆเธเธฃเธฃเธกเธ‚เธญเธ‡เธ„เธธเธ“เนƒเธ™ Firefish เน€เธ›เน‡เธ™เธ•เน‰เธ™" +sendErrorReportsDescription: "เน€เธกเธทเนˆเธญเน€เธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™ เธ‚เน‰เธญเธกเธนเธฅเธ‚เน‰เธญเธœเธดเธ”เธžเธฅเธฒเธ”เน‚เธ”เธขเธฃเธฒเธขเธฅเธฐเน€เธญเธตเธขเธ”เธ™เธฑเน‰เธ™เธˆเธฐเธ–เธนเธเนเธŠเธฃเนŒเนƒเธซเน‰เธเธฑเธš + Firefish เน€เธกเธทเนˆเธญเน€เธเธดเธ”เธ›เธฑเธเธซเธฒ เธ‹เธถเนˆเธ‡เธŠเนˆเธงเธขเธ›เธฃเธฑเธšเธ›เธฃเธธเธ‡เธ„เธธเธ“เธ เธฒเธžเธ‚เธญเธ‡ Firefish\nเธ‹เธถเนˆเธ‡เธˆเธฐเธฃเธงเธกเธ–เธถเธ‡เธ‚เน‰เธญเธกเธนเธฅ เน€เธŠเนˆเธ™ + เน€เธงเธญเธฃเนŒเธŠเธฑเนˆเธ™เธ‚เธญเธ‡เธฃเธฐเธšเธšเธ›เธเธดเธšเธฑเธ•เธดเธเธฒเธฃ เน€เธšเธฃเธฒเธงเนŒเน€เธ‹เธญเธฃเนŒเธ—เธตเนˆเธ„เธธเธ“เนƒเธŠเน‰ เธเธดเธˆเธเธฃเธฃเธกเธ‚เธญเธ‡เธ„เธธเธ“เนƒเธ™ Firefish เน€เธ›เน‡เธ™เธ•เน‰เธ™" myTheme: "เธ˜เธตเธกเธ‚เธญเธ‡เธ‰เธฑเธ™" backgroundColor: "เธ เธฒเธžเธžเธทเน‰เธ™เธซเธฅเธฑเธ‡" accentColor: "เธฃเธนเธ›เนเธšเธšเธชเธต" @@ -745,7 +783,8 @@ userInfo: "เธ‚เน‰เธญเธกเธนเธฅเธœเธนเน‰เนƒเธŠเน‰" unknown: "เน„เธกเนˆเธ—เธฃเธฒเธšเธชเธ–เธฒเธ™เธฐ" onlineStatus: "เธชเธ–เธฒเธ™เธฐเธญเธญเธ™เน„เธฅเธ™เนŒ" hideOnlineStatus: "เธ‹เนˆเธญเธ™เธชเธ–เธฒเธ™เธฐเธญเธญเธ™เน„เธฅเธ™เนŒ" -hideOnlineStatusDescription: "เธเธฒเธฃเธ‹เนˆเธญเธ™เธชเธ–เธฒเธ™เธฐเธญเธญเธ™เน„เธฅเธ™เนŒเธ‚เธญเธ‡เธ„เธธเธ“เธŠเนˆเธงเธขเธฅเธ”เธ„เธงเธฒเธกเธชเธฐเธ”เธงเธเธ‚เธญเธ‡เธ„เธธเธ“เธชเธกเธšเธฑเธ•เธดเธšเธฒเธ‡เธญเธขเนˆเธฒเธ‡ เน€เธŠเนˆเธ™ เธเธฒเธฃเธ„เน‰เธ™เธซเธฒ เธญเนˆเธฐเธ™เธฐ" +hideOnlineStatusDescription: "เธเธฒเธฃเธ‹เนˆเธญเธ™เธชเธ–เธฒเธ™เธฐเธญเธญเธ™เน„เธฅเธ™เนŒเธ‚เธญเธ‡เธ„เธธเธ“เธŠเนˆเธงเธขเธฅเธ”เธ„เธงเธฒเธกเธชเธฐเธ”เธงเธเธ‚เธญเธ‡เธ„เธธเธ“เธชเธกเธšเธฑเธ•เธดเธšเธฒเธ‡เธญเธขเนˆเธฒเธ‡ + เน€เธŠเนˆเธ™ เธเธฒเธฃเธ„เน‰เธ™เธซเธฒ เธญเนˆเธฐเธ™เธฐ" online: "เธญเธญเธ™เน„เธฅเธ™เนŒ" active: "เนƒเธŠเน‰เธ‡เธฒเธ™เธญเธขเธนเนˆ" offline: "เธญเธญเธŸเน„เธฅเธ™เนŒ" @@ -795,7 +834,8 @@ whatIsNew: "เนเธชเธ”เธ‡เธเธฒเธฃเน€เธ›เธฅเธตเนˆเธขเธ™เนเธ›เธฅเธ‡" translate: "เนเธ›เธฅเธ เธฒเธฉเธฒ" translatedFrom: "เนเธ›เธฅเธกเธฒเธˆเธฒเธ {x}" accountDeletionInProgress: "เธเธณเธฅเธฑเธ‡เธ”เธณเน€เธ™เธดเธ™เธเธฒเธฃเธฅเธšเธšเธฑเธเธŠเธตเธญเธขเธนเนˆ" -usernameInfo: "เธŠเธทเนˆเธญเธ—เธตเนˆเธฃเธฐเธšเธธเธšเธฑเธเธŠเธตเธ‚เธญเธ‡เธ„เธธเธ“เธˆเธฒเธเธœเธนเน‰เธญเธทเนˆเธ™เนƒเธ™เน€เธ‹เธดเธฃเนŒเธŸเน€เธงเธญเธฃเนŒเธ™เธตเน‰ เธ„เธธเธ“เธชเธฒเธกเธฒเธฃเธ–เนƒเธŠเน‰เธ•เธฑเธงเธญเธฑเธเธฉเธฃ (a~z, A~Z), เธ•เธฑเธงเน€เธฅเธ‚ (0~9) เธซเธฃเธทเธญเธ‚เธตเธ”เธฅเนˆเธฒเธ‡ (_) เธŠเธทเนˆเธญเธœเธนเน‰เนƒเธŠเน‰เน„เธกเนˆเธชเธฒเธกเธฒเธฃเธ–เน€เธ›เธฅเธตเนˆเธขเธ™เนเธ›เธฅเธ‡เน„เธ”เน‰เนƒเธ™เธ เธฒเธขเธซเธฅเธฑเธ‡" +usernameInfo: "เธŠเธทเนˆเธญเธ—เธตเนˆเธฃเธฐเธšเธธเธšเธฑเธเธŠเธตเธ‚เธญเธ‡เธ„เธธเธ“เธˆเธฒเธเธœเธนเน‰เธญเธทเนˆเธ™เนƒเธ™เน€เธ‹เธดเธฃเนŒเธŸเน€เธงเธญเธฃเนŒเธ™เธตเน‰ เธ„เธธเธ“เธชเธฒเธกเธฒเธฃเธ–เนƒเธŠเน‰เธ•เธฑเธงเธญเธฑเธเธฉเธฃ + (a~z, A~Z), เธ•เธฑเธงเน€เธฅเธ‚ (0~9) เธซเธฃเธทเธญเธ‚เธตเธ”เธฅเนˆเธฒเธ‡ (_) เธŠเธทเนˆเธญเธœเธนเน‰เนƒเธŠเน‰เน„เธกเนˆเธชเธฒเธกเธฒเธฃเธ–เน€เธ›เธฅเธตเนˆเธขเธ™เนเธ›เธฅเธ‡เน„เธ”เน‰เนƒเธ™เธ เธฒเธขเธซเธฅเธฑเธ‡" aiChanMode: "เน‚เธซเธกเธ” Ai " keepCw: "เน€เธเน‡เธšเธ„เธณเน€เธ•เธทเธญเธ™เน€เธ™เธทเน‰เธญเธซเธฒ" pubSub: "เธšเธฑเธเธŠเธตเธœเธฑเธš/เธขเนˆเธญเธข" @@ -864,7 +904,8 @@ typeToConfirm: "เน‚เธ›เธฃเธ”เธ›เน‰เธญเธ™ {x} เน€เธžเธทเนˆเธญเธขเธทเธ™เธขเธฑเธ™" deleteAccount: "เธฅเธšเธšเธฑเธเธŠเธต" document: "เน€เธญเธเธชเธฒเธฃ" numberOfPageCache: "เธˆเธณเธ™เธงเธ™เธซเธ™เน‰เธฒเน€เธžเธˆเธ—เธตเนˆเนเธ„เธŠ" -numberOfPageCacheDescription: "เธเธฒเธฃเน€เธžเธดเนˆเธกเธˆเธณเธ™เธงเธ™เธ™เธตเน‰เธˆเธฐเธŠเนˆเธงเธขเน€เธžเธดเนˆเธกเธ„เธงเธฒเธกเธชเธฐเธ”เธงเธเนƒเธซเน‰เธเธฑเธšเธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™ เนเธ•เนˆเธˆเธฐเธ—เธณเนƒเธซเน‰เน€เธ‹เธดเธฃเนŒเธŸเน€เธงเธญเธฃเนŒเน‚เธซเธฅเธ”เธกเธฒเธเธ‚เธถเน‰เธ™เนเธฅเธฐเธ•เน‰เธญเธ‡เนƒเธŠเน‰เธซเธ™เนˆเธงเธขเธ„เธงเธฒเธกเธˆเธณเธกเธฒเธเธ‚เธถเน‰เธ™เธญเธตเธเธ”เน‰เธงเธข" +numberOfPageCacheDescription: "เธเธฒเธฃเน€เธžเธดเนˆเธกเธˆเธณเธ™เธงเธ™เธ™เธตเน‰เธˆเธฐเธŠเนˆเธงเธขเน€เธžเธดเนˆเธกเธ„เธงเธฒเธกเธชเธฐเธ”เธงเธเนƒเธซเน‰เธเธฑเธšเธœเธนเน‰เนƒเธŠเน‰เธ‡เธฒเธ™ + เนเธ•เนˆเธˆเธฐเธ—เธณเนƒเธซเน‰เน€เธ‹เธดเธฃเนŒเธŸเน€เธงเธญเธฃเนŒเน‚เธซเธฅเธ”เธกเธฒเธเธ‚เธถเน‰เธ™เนเธฅเธฐเธ•เน‰เธญเธ‡เนƒเธŠเน‰เธซเธ™เนˆเธงเธขเธ„เธงเธฒเธกเธˆเธณเธกเธฒเธเธ‚เธถเน‰เธ™เธญเธตเธเธ”เน‰เธงเธข" logoutConfirm: "เธ„เธธเธ“เนเธ™เนˆเนƒเธˆเธงเนˆเธฒเธ•เน‰เธญเธ‡เธเธฒเธฃเธญเธญเธเธˆเธฒเธเธฃเธฐเธšเธš?" lastActiveDate: "เนƒเธŠเน‰เธ‡เธฒเธ™เธฅเนˆเธฒเธชเธธเธ”เธ—เธตเนˆ" statusbar: "เน„เธญเธ„เธญเธ™เธšเธ™เนเธ–เธšเธชเธ–เธฒเธ™เธฐ" @@ -881,22 +922,29 @@ sensitiveMediaDetection: "เธเธฒเธฃเธ•เธฃเธงเธˆเธˆเธฑเธšเธ‚เธญเธ‡เธชเธทเนˆเธญ NS localOnly: "เน€เธ‰เธžเธฒเธฐเธ—เน‰เธญเธ‡เธ–เธดเนˆเธ™" remoteOnly: "เธฃเธตเน‚เธกเธ—เน€เธ—เนˆเธฒเธ™เธฑเน‰เธ™" failedToUpload: "เธเธฒเธฃเธญเธฑเธ›เน‚เธซเธฅเธ”เธฅเน‰เธกเน€เธซเธฅเธง" -cannotUploadBecauseInappropriate: "เน„เธกเนˆเธชเธฒเธกเธฒเธฃเธ–เธญเธฑเธ›เน‚เธซเธฅเธ”เน„เธŸเธฅเนŒเธ™เธตเน‰เน„เธ”เน‰เน€เธ™เธทเนˆเธญเธ‡เธˆเธฒเธเธฃเธฐเธšเธšเธ•เธฃเธงเธˆเธžเธšเธšเธฒเธ‡เธชเนˆเธงเธ™เธ‚เธญเธ‡เน„เธŸเธฅเนŒเธงเนˆเธฒเธ™เธตเน‰เธญเธฒเธˆเธˆเธฐเน€เธ›เน‡เธ™ NSFW" +cannotUploadBecauseInappropriate: "เน„เธกเนˆเธชเธฒเธกเธฒเธฃเธ–เธญเธฑเธ›เน‚เธซเธฅเธ”เน„เธŸเธฅเนŒเธ™เธตเน‰เน„เธ”เน‰เน€เธ™เธทเนˆเธญเธ‡เธˆเธฒเธเธฃเธฐเธšเธšเธ•เธฃเธงเธˆเธžเธšเธšเธฒเธ‡เธชเนˆเธงเธ™เธ‚เธญเธ‡เน„เธŸเธฅเนŒเธงเนˆเธฒเธ™เธตเน‰เธญเธฒเธˆเธˆเธฐเน€เธ›เน‡เธ™ + NSFW" cannotUploadBecauseNoFreeSpace: "เธเธฒเธฃเธญเธฑเธ›เน‚เธซเธฅเธ”เธ™เธฑเน‰เธ™เธฅเน‰เธกเน€เธซเธฅเธงเน€เธ™เธทเนˆเธญเธ‡เธˆเธฒเธเน„เธกเนˆเธกเธตเธ„เธงเธฒเธกเธˆเธธเธ‚เธญเธ‡เน„เธ”เธฃเธŸเนŒ" beta: "เน€เธšเธ•เน‰เธฒ" enableAutoSensitive: "เธ—เธณเน€เธ„เธฃเธทเนˆเธญเธ‡เธซเธกเธฒเธข NSFW เธญเธฑเธ•เน‚เธ™เธกเธฑเธ•เธด" -enableAutoSensitiveDescription: "เธญเธ™เธธเธเธฒเธ•เนƒเธซเน‰เธ•เธฃเธงเธˆเธซเธฒเนเธฅเธฐเธ—เธณเน€เธ„เธฃเธทเนˆเธญเธ‡เธซเธกเธฒเธขเธชเธทเนˆเธญ NSFW เน‚เธ”เธขเธญเธฑเธ•เน‚เธ™เธกเธฑเธ•เธดเธœเนˆเธฒเธ™เธเธฒเธฃเน€เธฃเธตเธขเธ™เธฃเธนเน‰เธ‚เธญเธ‡เน€เธ„เธฃเธทเนˆเธญเธ‡เธซเธฒเธเน€เธ›เน‡เธ™เน„เธ›เน„เธ”เน‰ เนเธกเน‰เธงเนˆเธฒเธ•เธฑเธงเน€เธฅเธทเธญเธเธ™เธตเน‰เธˆเธฐเธ–เธนเธเธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™ เนเธ•เนˆเธเน‡เธชเธฒเธกเธฒเธฃเธ–เน€เธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™เน„เธ”เน‰เธ—เธฑเน‰เธ‡เธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒเธ™เธตเน‰" -activeEmailValidationDescription: "เน€เธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™เธเธฒเธฃเธ•เธฃเธงเธˆเธชเธญเธšเธ—เธตเนˆเธญเธขเธนเนˆเธญเธตเน€เธกเธฅเนƒเธซเน‰เธกเธตเธ„เธงเธฒเธกเน€เธ‚เน‰เธกเธ‡เธงเธ”เธขเธดเนˆเธ‡เธ‚เธถเน‰เธ™ เธ‹เธถเนˆเธ‡เธญเธฒเธˆเธˆเธฐเธฃเธงเธกเน„เธ›เธ–เธถเธ‡เธเธฒเธฃเธ•เธฃเธงเธˆเธชเธญเธšเธ—เธตเนˆเธญเธขเธนเนˆเธญเธตเน€เธกเธฅเนŒเธ—เธตเนˆเนƒเธŠเน‰เนเธฅเน‰เธงเธ—เธดเน‰เธ‡เนเธฅเธฐเน‚เธ”เธขเนƒเธซเน‰เธžเธดเธˆเธฒเธฃเธ“เธฒเธงเนˆเธฒเธชเธฒเธกเธฒเธฃเธ–เธชเธทเนˆเธญเธชเธฒเธฃเธ”เน‰เธงเธขเน„เธ”เน‰เธซเธฃเธทเธญเน„เธกเนˆ เน€เธกเธทเนˆเธญเน„เธกเนˆเน€เธฅเธทเธญเธเธฃเธฐเธšเธšเธˆเธฐเธ•เธฃเธงเธˆเธชเธญเธšเน€เธ‰เธžเธฒเธฐเธฃเธนเธ›เนเธšเธšเธ‚เธญเธ‡เธญเธตเน€เธกเธฅเน€เธ—เนˆเธฒเธ™เธฑเน‰เธ™" +enableAutoSensitiveDescription: "เธญเธ™เธธเธเธฒเธ•เนƒเธซเน‰เธ•เธฃเธงเธˆเธซเธฒเนเธฅเธฐเธ—เธณเน€เธ„เธฃเธทเนˆเธญเธ‡เธซเธกเธฒเธขเธชเธทเนˆเธญ NSFW เน‚เธ”เธขเธญเธฑเธ•เน‚เธ™เธกเธฑเธ•เธดเธœเนˆเธฒเธ™เธเธฒเธฃเน€เธฃเธตเธขเธ™เธฃเธนเน‰เธ‚เธญเธ‡เน€เธ„เธฃเธทเนˆเธญเธ‡เธซเธฒเธเน€เธ›เน‡เธ™เน„เธ›เน„เธ”เน‰ + เนเธกเน‰เธงเนˆเธฒเธ•เธฑเธงเน€เธฅเธทเธญเธเธ™เธตเน‰เธˆเธฐเธ–เธนเธเธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™ เนเธ•เนˆเธเน‡เธชเธฒเธกเธฒเธฃเธ–เน€เธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™เน„เธ”เน‰เธ—เธฑเน‰เธ‡เธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒเธ™เธตเน‰" +activeEmailValidationDescription: "เน€เธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™เธเธฒเธฃเธ•เธฃเธงเธˆเธชเธญเธšเธ—เธตเนˆเธญเธขเธนเนˆเธญเธตเน€เธกเธฅเนƒเธซเน‰เธกเธตเธ„เธงเธฒเธกเน€เธ‚เน‰เธกเธ‡เธงเธ”เธขเธดเนˆเธ‡เธ‚เธถเน‰เธ™ + เธ‹เธถเนˆเธ‡เธญเธฒเธˆเธˆเธฐเธฃเธงเธกเน„เธ›เธ–เธถเธ‡เธเธฒเธฃเธ•เธฃเธงเธˆเธชเธญเธšเธ—เธตเนˆเธญเธขเธนเนˆเธญเธตเน€เธกเธฅเนŒเธ—เธตเนˆเนƒเธŠเน‰เนเธฅเน‰เธงเธ—เธดเน‰เธ‡เนเธฅเธฐเน‚เธ”เธขเนƒเธซเน‰เธžเธดเธˆเธฒเธฃเธ“เธฒเธงเนˆเธฒเธชเธฒเธกเธฒเธฃเธ–เธชเธทเนˆเธญเธชเธฒเธฃเธ”เน‰เธงเธขเน„เธ”เน‰เธซเธฃเธทเธญเน„เธกเนˆ + เน€เธกเธทเนˆเธญเน„เธกเนˆเน€เธฅเธทเธญเธเธฃเธฐเธšเธšเธˆเธฐเธ•เธฃเธงเธˆเธชเธญเธšเน€เธ‰เธžเธฒเธฐเธฃเธนเธ›เนเธšเธšเธ‚เธญเธ‡เธญเธตเน€เธกเธฅเน€เธ—เนˆเธฒเธ™เธฑเน‰เธ™" navbar: "เนเธ–เธšเธ™เธณเธ—เธฒเธ‡" shuffle: "เธชเธฅเธฑเธš" account: "เธšเธฑเธเธŠเธตเธœเธนเน‰เนƒเธŠเน‰" move: "เธขเน‰เธฒเธข" _sensitiveMediaDetection: - description: "เธฅเธ”เธ„เธงเธฒเธกเธžเธขเธฒเธขเธฒเธกเนƒเธ™เธเธฒเธฃเธ”เธนเนเธฅเน€เธ‹เธดเธฃเนŒเธŸเน€เธงเธญเธฃเนŒเธœเนˆเธฒเธ™เธเธฒเธฃเธˆเธ”เธˆเธณเธชเธทเนˆเธญ NSFW เน‚เธ”เธขเธญเธฑเธ•เน‚เธ™เธกเธฑเธ•เธดเธœเนˆเธฒเธ™เธเธฒเธฃเน€เธฃเธตเธขเธ™เธฃเธนเน‰เธ‚เธญเธ‡เน€เธ„เธฃเธทเนˆเธญเธ‡ เธเธฒเธฃเธ—เธณเธชเธดเนˆเธ‡เธ™เธตเน‰เธญเธฒเธˆเธˆเธฐเน€เธžเธดเนˆเธกเธ เธฒเธฃเธฐเธšเธ™เน€เธ‹เธดเธฃเนŒเธŸเน€เธงเธญเธฃเนŒเน€เธฅเน‡เธเธ™เน‰เธญเธข" + description: "เธฅเธ”เธ„เธงเธฒเธกเธžเธขเธฒเธขเธฒเธกเนƒเธ™เธเธฒเธฃเธ”เธนเนเธฅเน€เธ‹เธดเธฃเนŒเธŸเน€เธงเธญเธฃเนŒเธœเนˆเธฒเธ™เธเธฒเธฃเธˆเธ”เธˆเธณเธชเธทเนˆเธญ NSFW เน‚เธ”เธขเธญเธฑเธ•เน‚เธ™เธกเธฑเธ•เธดเธœเนˆเธฒเธ™เธเธฒเธฃเน€เธฃเธตเธขเธ™เธฃเธนเน‰เธ‚เธญเธ‡เน€เธ„เธฃเธทเนˆเธญเธ‡ + เธเธฒเธฃเธ—เธณเธชเธดเนˆเธ‡เธ™เธตเน‰เธญเธฒเธˆเธˆเธฐเน€เธžเธดเนˆเธกเธ เธฒเธฃเธฐเธšเธ™เน€เธ‹เธดเธฃเนŒเธŸเน€เธงเธญเธฃเนŒเน€เธฅเน‡เธเธ™เน‰เธญเธข" sensitivity: "เธเธฒเธฃเธ•เธฃเธงเธˆเธˆเธฑเธšเธ„เธงเธฒเธกเน„เธง" - sensitivityDescription: "เธเธฒเธฃเธฅเธ”เธ„เธงเธฒเธกเน„เธงเธ™เธฑเน‰เธ™เธˆเธฐเธ™เธณเน„เธ›เธชเธนเนˆเธเธฒเธฃเธ•เธฃเธงเธˆเธˆเธฑเธšเธ—เธตเนˆเธœเธดเธ”เธžเธฅเธฒเธ”เธ™เน‰เธญเธขเธฅเธ‡ (เธœเธฅเธšเธงเธเธ—เธตเนˆเธœเธดเธ”เธžเธฅเธฒเธ”) เนเธ•เนˆเนƒเธ™เธ‚เธ“เธฐเธ—เธตเนˆเธเธฒเธฃเน€เธžเธดเนˆเธกเธ™เธฑเน‰เธ™เธˆเธฐเธ™เธณเน„เธ›เธชเธนเนˆเธเธฒเธฃเธ•เธฃเธงเธˆเธซเธฒเธ—เธตเนˆเธžเธฅเธฒเธ”เธ™เน‰เธญเธขเธฅเธ‡ (เธœเธฅเธฅเธšเน€เธ—เน‡เธˆ)" + sensitivityDescription: "เธเธฒเธฃเธฅเธ”เธ„เธงเธฒเธกเน„เธงเธ™เธฑเน‰เธ™เธˆเธฐเธ™เธณเน„เธ›เธชเธนเนˆเธเธฒเธฃเธ•เธฃเธงเธˆเธˆเธฑเธšเธ—เธตเนˆเธœเธดเธ”เธžเธฅเธฒเธ”เธ™เน‰เธญเธขเธฅเธ‡ (เธœเธฅเธšเธงเธเธ—เธตเนˆเธœเธดเธ”เธžเธฅเธฒเธ”) + เนเธ•เนˆเนƒเธ™เธ‚เธ“เธฐเธ—เธตเนˆเธเธฒเธฃเน€เธžเธดเนˆเธกเธ™เธฑเน‰เธ™เธˆเธฐเธ™เธณเน„เธ›เธชเธนเนˆเธเธฒเธฃเธ•เธฃเธงเธˆเธซเธฒเธ—เธตเนˆเธžเธฅเธฒเธ”เธ™เน‰เธญเธขเธฅเธ‡ (เธœเธฅเธฅเธšเน€เธ—เน‡เธˆ)" setSensitiveFlagAutomatically: "เธ—เธณเน€เธ„เธฃเธทเนˆเธญเธ‡เธซเธกเธฒเธขเธงเนˆเธฒเน€เธ›เน‡เธ™ NSFW" - setSensitiveFlagAutomaticallyDescription: "เธœเธฅเธฅเธฑเธžเธ˜เนŒเธ‚เธญเธ‡เธเธฒเธฃเธ•เธฃเธงเธˆเธˆเธฑเธšเธ เธฒเธขเนƒเธ™เธ™เธฑเน‰เธ™เธˆเธฐเธขเธฑเธ‡เธ„เธ‡เธญเธขเธนเนˆ เธ–เธถเธ‡เนเธกเน‰เธงเนˆเธฒเธˆเธฐเธ›เธดเธ”เธ•เธฑเธงเน€เธฅเธทเธญเธเธ™เธตเน‰" + setSensitiveFlagAutomaticallyDescription: "เธœเธฅเธฅเธฑเธžเธ˜เนŒเธ‚เธญเธ‡เธเธฒเธฃเธ•เธฃเธงเธˆเธˆเธฑเธšเธ เธฒเธขเนƒเธ™เธ™เธฑเน‰เธ™เธˆเธฐเธขเธฑเธ‡เธ„เธ‡เธญเธขเธนเนˆ + เธ–เธถเธ‡เนเธกเน‰เธงเนˆเธฒเธˆเธฐเธ›เธดเธ”เธ•เธฑเธงเน€เธฅเธทเธญเธเธ™เธตเน‰" analyzeVideos: "เน€เธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™เธงเธดเน€เธ„เธฃเธฒเธฐเธซเนŒเธ‚เธญเธ‡เธงเธดเธ”เธตเน‚เธญ" analyzeVideosDescription: "เธเธฒเธฃเธงเธดเน€เธ„เธฃเธฒเธฐเธซเนŒเธงเธดเธ”เธตเน‚เธญเธ™เธญเธเน€เธซเธ™เธทเธญเธˆเธฒเธเธฃเธนเธ›เธ เธฒเธžเธ™เธฑเน‰เธ™ เธเธฒเธฃเธ—เธณเธชเธดเนˆเธ‡เธ™เธตเน‰เธˆเธฐเธ—เธณเนƒเธซเน‰เน€เธžเธดเนˆเธกเธ เธฒเธฃเธฐเธšเธ™เน€เธ‹เธดเธฃเนŒเธŸเน€เธงเธญเธฃเนŒเน€เธฅเน‡เธเธ™เน‰เธญเธข" _emailUnavailable: @@ -915,7 +963,8 @@ _signup: emailSent: "เน€เธฃเธฒเน„เธ”เน‰เธชเนˆเธ‡เธญเธตเน€เธกเธฅเธขเธทเธ™เธขเธฑเธ™เน„เธ›เธขเธฑเธ‡เธ—เธตเนˆเธญเธขเธนเนˆเธญเธตเน€เธกเธฅเธ‚เธญเธ‡เธ„เธธเธ“เนเธฅเน‰เธงเธ™เธฐ ({email}) เน‚เธ›เธฃเธ”เธ„เธฅเธดเธเธฅเธดเธ‡เธเนŒเธ—เธตเนˆเธฃเธงเธกเน„เธงเน‰เน€เธžเธทเนˆเธญเธชเธฃเน‰เธฒเธ‡เธšเธฑเธเธŠเธตเนƒเธซเน‰เน€เธชเธฃเน‡เธˆเธชเธดเน‰เธ™" _accountDelete: accountDelete: "เธฅเธšเธšเธฑเธเธŠเธตเธœเธนเน‰เนƒเธŠเน‰" - mayTakeTime: "เน€เธ™เธทเนˆเธญเธ‡เธˆเธฒเธเธเธฒเธฃเธฅเธšเธšเธฑเธเธŠเธตเธ™เธตเน‰เธˆเธฐเน€เธ›เน‡เธ™เธเธฃเธฐเธšเธงเธ™เธเธฒเธฃเธ—เธตเนˆเธ•เน‰เธญเธ‡เนƒเธŠเน‰เธ—เธฃเธฑเธžเธขเธฒเธเธฃเธกเธฒเธ เธˆเธถเธ‡เธญเธฒเธˆเธˆเธฐเธ•เน‰เธญเธ‡เนƒเธŠเน‰เน€เธงเธฅเธฒเธชเธฑเธเธ„เธฃเธนเนˆเธ–เธถเธ‡เธˆเธฐเน€เธชเธฃเน‡เธˆเธชเธกเธšเธนเธฃเธ“เนŒ เธ—เธฑเน‰เธ‡เธ™เธตเน‰เธ‚เธถเน‰เธ™เธญเธขเธนเนˆเธเธฑเธšเธˆเธณเธ™เธงเธ™เน€เธ™เธทเน‰เธญเธซเธฒเธ—เธตเนˆเธ„เธธเธ“เธชเธฃเน‰เธฒเธ‡เนเธฅเธฐเธˆเธณเธ™เธงเธ™เน„เธŸเธฅเนŒเธ—เธตเนˆเธ„เธธเธ“เธญเธฑเธ›เน‚เธซเธฅเธ”เธ™เธฐ" + mayTakeTime: "เน€เธ™เธทเนˆเธญเธ‡เธˆเธฒเธเธเธฒเธฃเธฅเธšเธšเธฑเธเธŠเธตเธ™เธตเน‰เธˆเธฐเน€เธ›เน‡เธ™เธเธฃเธฐเธšเธงเธ™เธเธฒเธฃเธ—เธตเนˆเธ•เน‰เธญเธ‡เนƒเธŠเน‰เธ—เธฃเธฑเธžเธขเธฒเธเธฃเธกเธฒเธ เธˆเธถเธ‡เธญเธฒเธˆเธˆเธฐเธ•เน‰เธญเธ‡เนƒเธŠเน‰เน€เธงเธฅเธฒเธชเธฑเธเธ„เธฃเธนเนˆเธ–เธถเธ‡เธˆเธฐเน€เธชเธฃเน‡เธˆเธชเธกเธšเธนเธฃเธ“เนŒ + เธ—เธฑเน‰เธ‡เธ™เธตเน‰เธ‚เธถเน‰เธ™เธญเธขเธนเนˆเธเธฑเธšเธˆเธณเธ™เธงเธ™เน€เธ™เธทเน‰เธญเธซเธฒเธ—เธตเนˆเธ„เธธเธ“เธชเธฃเน‰เธฒเธ‡เนเธฅเธฐเธˆเธณเธ™เธงเธ™เน„เธŸเธฅเนŒเธ—เธตเนˆเธ„เธธเธ“เธญเธฑเธ›เน‚เธซเธฅเธ”เธ™เธฐ" sendEmail: "เน€เธกเธทเนˆเธญเธเธฒเธฃเธฅเธšเธšเธฑเธเธŠเธตเธ™เธตเน‰เน€เธชเธฃเน‡เธˆเธชเธดเน‰เธ™ เน€เธฃเธฒเธญเธฒเธˆเธˆเธฐเธชเนˆเธ‡เธญเธตเน€เธกเธฅเน„เธ›เธขเธฑเธ‡เธ—เธตเนˆเธญเธขเธนเนˆเธญเธตเน€เธกเธฅเธ‚เธญเธ‡เธ„เธธเธ“เธ—เธตเนˆเน€เธ„เธขเธฅเธ‡เธ—เธฐเน€เธšเธตเธขเธ™เน„เธงเน‰เธเธฑเธšเธšเธฑเธเธŠเธตเธ™เธตเน‰เธ™เธฐ" requestAccountDelete: "เธฃเน‰เธญเธ‡เธ‚เธญเนƒเธซเน‰เธฅเธšเธšเธฑเธเธŠเธต" started: "เธเธฒเธฃเธฅเธšเน„เธ”เน‰เน€เธฃเธดเนˆเธกเธ•เน‰เธ™เธ‚เธถเน‰เธ™" @@ -950,11 +999,13 @@ _preferencesBackups: inputName: "เธเธฃเธธเธ“เธฒเธ›เน‰เธญเธ™เธŠเธทเนˆเธญเธชเธณเธซเธฃเธฑเธšเธ‚เน‰เธญเธกเธนเธฅเธชเธณเธฃเธญเธ‡เธ™เธตเน‰" cannotSave: "เธเธฒเธฃเธšเธฑเธ™เธ—เธถเธเธฅเน‰เธกเน€เธซเธฅเธง" nameAlreadyExists: "เธกเธตเธ‚เน‰เธญเธกเธนเธฅเธชเธณเธฃเธญเธ‡เธŠเธทเนˆเธญ \"{name}\" เธ™เธตเน‰เธญเธขเธนเนˆเนเธฅเน‰เธง เธเธฃเธธเธ“เธฒเธ›เน‰เธญเธ™เธŠเธทเนˆเธญเธญเธทเนˆเธ™เธ™เธฐ" - applyConfirm: "เธ„เธธเธ“เธ•เน‰เธญเธ‡เธเธฒเธฃเนƒเธŠเน‰เธ‚เน‰เธญเธกเธนเธฅเธชเธณเธฃเธญเธ‡ \"{name}\" เธเธฑเธšเธญเธธเธ›เธเธฃเธ“เนŒเธ™เธตเน‰เธญเธขเนˆเธฒเธ‡เธ‡เธฑเน‰เธ™เธˆเธฃเธดเธ‡เธซเธฃเธญ เธเธฒเธฃเธ•เธฑเน‰เธ‡เธ„เนˆเธฒเธ—เธตเนˆเธกเธตเธญเธขเธนเนˆเธ‚เธญเธ‡เธญเธธเธ›เธเธฃเธ“เนŒเธ™เธตเน‰เธˆเธฐเธ–เธนเธเน€เธ‚เธตเธขเธ™เธ—เธฑเธšเธ™เธฐ" + applyConfirm: "เธ„เธธเธ“เธ•เน‰เธญเธ‡เธเธฒเธฃเนƒเธŠเน‰เธ‚เน‰เธญเธกเธนเธฅเธชเธณเธฃเธญเธ‡ \"{name}\" เธเธฑเธšเธญเธธเธ›เธเธฃเธ“เนŒเธ™เธตเน‰เธญเธขเนˆเธฒเธ‡เธ‡เธฑเน‰เธ™เธˆเธฃเธดเธ‡เธซเธฃเธญ + เธเธฒเธฃเธ•เธฑเน‰เธ‡เธ„เนˆเธฒเธ—เธตเนˆเธกเธตเธญเธขเธนเนˆเธ‚เธญเธ‡เธญเธธเธ›เธเธฃเธ“เนŒเธ™เธตเน‰เธˆเธฐเธ–เธนเธเน€เธ‚เธตเธขเธ™เธ—เธฑเธšเธ™เธฐ" saveConfirm: "เธšเธฑเธ™เธ—เธถเธเธ‚เน‰เธญเธกเธนเธฅเธชเธณเธฃเธญเธ‡เน€เธ›เน‡เธ™ {name} เธกเธฑเน‰เธข?" deleteConfirm: "เธฅเธšเธ‚เน‰เธญเธกเธนเธฅเธชเธณเธฃเธญเธ‡ {name} เธกเธฑเน‰เธข?" renameConfirm: "เน€เธ›เธฅเธตเนˆเธขเธ™เธŠเธทเนˆเธญเธ‚เน‰เธญเธกเธนเธฅเธชเธณเธฃเธญเธ‡เธ™เธตเน‰เธˆเธฒเธ \"{old}\" เน€เธ›เน‡เธ™ \"{new}\" เธซเธฃเธทเธญเธ›เนˆเธฒเธง" - noBackups: "เน„เธกเนˆเธกเธตเธ‚เน‰เธญเธกเธนเธฅเธชเธณเธฃเธญเธ‡เธ™เธฐ เธ„เธธเธ“เธชเธฒเธกเธฒเธฃเธ–เธชเธณเธฃเธญเธ‡เธ‚เน‰เธญเธกเธนเธฅเธเธฒเธฃเธ•เธฑเน‰เธ‡เธ„เนˆเธฒเน„เธ„เธฅเน€เธญเธ™เธ•เนŒเธ‚เธญเธ‡เธ„เธธเธ“เธšเธ™เน€เธ‹เธดเธฃเนŒเธŸเน€เธงเธญเธฃเนŒเธ™เธตเน‰เน‚เธ”เธขเนƒเธŠเน‰ \"เธชเธฃเน‰เธฒเธ‡เธเธฒเธฃเธชเธณเธฃเธญเธ‡เธ‚เน‰เธญเธกเธนเธฅเนƒเธซเธกเนˆ\"เน„เธ”เน‰เธ™เธฐ" + noBackups: "เน„เธกเนˆเธกเธตเธ‚เน‰เธญเธกเธนเธฅเธชเธณเธฃเธญเธ‡เธ™เธฐ เธ„เธธเธ“เธชเธฒเธกเธฒเธฃเธ–เธชเธณเธฃเธญเธ‡เธ‚เน‰เธญเธกเธนเธฅเธเธฒเธฃเธ•เธฑเน‰เธ‡เธ„เนˆเธฒเน„เธ„เธฅเน€เธญเธ™เธ•เนŒเธ‚เธญเธ‡เธ„เธธเธ“เธšเธ™เน€เธ‹เธดเธฃเนŒเธŸเน€เธงเธญเธฃเนŒเธ™เธตเน‰เน‚เธ”เธขเนƒเธŠเน‰ + \"เธชเธฃเน‰เธฒเธ‡เธเธฒเธฃเธชเธณเธฃเธญเธ‡เธ‚เน‰เธญเธกเธนเธฅเนƒเธซเธกเนˆ\"เน„เธ”เน‰เธ™เธฐ" createdAt: "เธชเธฃเน‰เธฒเธ‡เน€เธกเธทเนˆเธญ: {date} {time}" updatedAt: "เธญเธฑเธ›เน€เธ”เธ•เน€เธกเธทเนˆเธญ: {date} {time}" cannotLoad: "เธเธฒเธฃเน‚เธซเธฅเธ”เธฅเน‰เธกเน€เธซเธฅเธง" @@ -972,7 +1023,8 @@ _aboutFirefish: source: "เธ‹เธญเธฃเนŒเธชเน‚เธ„เน‰เธ”" translation: "เธฃเธฑเธšเนเธ›เธฅเธ เธฒเธฉเธฒ Firefish" donate: "เธšเธฃเธดเธˆเธฒเธ„เนƒเธซเน‰เธเธฑเธš Firefish" - morePatrons: "เน€เธฃเธฒเธ‚เธญเธ‚เธญเธšเธ„เธธเธ“เธชเธณเธซเธฃเธฑเธšเธ„เธงเธฒเธกเธŠเนˆเธงเธขเน€เธซเธฅเธทเธญเธˆเธฒเธเธœเธนเน‰เธŠเนˆเธงเธขเธญเธทเนˆเธ™เน† เธ—เธตเนˆเน„เธกเนˆเน„เธ”เน‰เธฃเธฐเธšเธธเน„เธงเน‰เธ—เธตเนˆเธ™เธตเนˆเธ™เธฐ เธ‚เธญเธ‚เธญเธšเธ„เธธเธ“! ๐Ÿฅฐ" + morePatrons: "เน€เธฃเธฒเธ‚เธญเธ‚เธญเธšเธ„เธธเธ“เธชเธณเธซเธฃเธฑเธšเธ„เธงเธฒเธกเธŠเนˆเธงเธขเน€เธซเธฅเธทเธญเธˆเธฒเธเธœเธนเน‰เธŠเนˆเธงเธขเธญเธทเนˆเธ™เน† เธ—เธตเนˆเน„เธกเนˆเน„เธ”เน‰เธฃเธฐเธšเธธเน„เธงเน‰เธ—เธตเนˆเธ™เธตเนˆเธ™เธฐ + เธ‚เธญเธ‚เธญเธšเธ„เธธเธ“! ๐Ÿฅฐ" patrons: "เธชเธกเธฒเธŠเธดเธเธžเธฑเธ™เธ˜เธกเธดเธ•เธฃ" _nsfw: respect: "เธ‹เนˆเธญเธ™เธชเธทเนˆเธญ NSFW" @@ -980,7 +1032,8 @@ _nsfw: force: "เธ‹เนˆเธญเธ™เธชเธทเนˆเธญเธ—เธฑเน‰เธ‡เธซเธกเธ”" _mfm: cheatSheet: "เน‚เธ„เน‰เธ” MFM Cheat Sheet" - intro: "MFM เน€เธ›เน‡เธ™เธ เธฒเธฉเธฒเธกเธฒเธฃเนŒเธเธญเธฑเธ›เธžเธดเน€เธจเธฉเน€เธ‰เธžเธฒเธฐเธ‚เธญเธ‡ Firefish เธ—เธตเนˆเธชเธฒเธกเธฒเธฃเธ–เนƒเธŠเน‰เน„เธ”เน‰เนƒเธ™เธซเธฅเธฒเธขเธ—เธตเนˆ เธ„เธธเธ“เธขเธฑเธ‡เธชเธฒเธกเธฒเธฃเธ–เธ”เธนเธฃเธฒเธขเธเธฒเธฃเน„เธงเธขเธฒเธเธฃเธ“เนŒ MFM เธ—เธตเนˆเธกเธตเธญเธขเธนเนˆเธ—เธฑเน‰เธ‡เธซเธกเธ”เน„เธ”เน‰เธ—เธตเนˆเธ™เธตเนˆเธ™เธฐ" + intro: "MFM เน€เธ›เน‡เธ™เธ เธฒเธฉเธฒเธกเธฒเธฃเนŒเธเธญเธฑเธ›เธžเธดเน€เธจเธฉเน€เธ‰เธžเธฒเธฐเธ‚เธญเธ‡ Firefish เธ—เธตเนˆเธชเธฒเธกเธฒเธฃเธ–เนƒเธŠเน‰เน„เธ”เน‰เนƒเธ™เธซเธฅเธฒเธขเธ—เธตเนˆ เธ„เธธเธ“เธขเธฑเธ‡เธชเธฒเธกเธฒเธฃเธ–เธ”เธนเธฃเธฒเธขเธเธฒเธฃเน„เธงเธขเธฒเธเธฃเธ“เนŒ + MFM เธ—เธตเนˆเธกเธตเธญเธขเธนเนˆเธ—เธฑเน‰เธ‡เธซเธกเธ”เน„เธ”เน‰เธ—เธตเนˆเธ™เธตเนˆเธ™เธฐ" dummy: "Firefish เธ‚เธขเธฒเธขเน‚เธฅเธเธ‚เธญเธ‡ Fediverse" mention: "เธเธฅเนˆเธฒเธงเธ–เธถเธ‡" mentionDescription: "เธ„เธธเธ“เธชเธฒเธกเธฒเธฃเธ–เธฃเธฐเธšเธธเธœเธนเน‰เนƒเธŠเน‰เน‚เธ”เธขเนƒเธŠเน‰ At-Symbol เนเธฅเธฐเธŠเธทเนˆเธญเธœเธนเน‰เนƒเธŠเน‰เน„เธ”เน‰เธ™เธฐ" @@ -1069,15 +1122,18 @@ _menuDisplay: hide: "เธ‹เนˆเธญเธ™" _wordMute: muteWords: "เธ›เธดเธ”เน€เธชเธตเธขเธ‡เธ„เธณ" - muteWordsDescription: "เธ„เธฑเนˆเธ™เธ”เน‰เธงเธขเธŠเนˆเธญเธ‡เธงเนˆเธฒเธ‡เธชเธณเธซเธฃเธฑเธšเน€เธ‡เธทเนˆเธญเธ™เน„เธ‚ AND เธซเธฃเธทเธญเธ”เน‰เธงเธขเธเธฒเธฃเธ‚เธถเน‰เธ™เธšเธฃเธฃเธ—เธฑเธ”เนƒเธซเธกเนˆเธชเธณเธซเธฃเธฑเธšเน€เธ‡เธทเนˆเธญเธ™เน„เธ‚ OR เธ™เธฐ" + muteWordsDescription: "เธ„เธฑเนˆเธ™เธ”เน‰เธงเธขเธŠเนˆเธญเธ‡เธงเนˆเธฒเธ‡เธชเธณเธซเธฃเธฑเธšเน€เธ‡เธทเนˆเธญเธ™เน„เธ‚ AND เธซเธฃเธทเธญเธ”เน‰เธงเธขเธเธฒเธฃเธ‚เธถเน‰เธ™เธšเธฃเธฃเธ—เธฑเธ”เนƒเธซเธกเนˆเธชเธณเธซเธฃเธฑเธšเน€เธ‡เธทเนˆเธญเธ™เน„เธ‚ + OR เธ™เธฐ" muteWordsDescription2: "เธฅเน‰เธญเธกเธฃเธญเธšเธ„เธตเธขเนŒเน€เธงเธดเธฃเนŒเธ”เธ”เน‰เธงเธขเน€เธ„เธฃเธทเนˆเธญเธ‡เธซเธกเธฒเธขเธ—เธฑเธšเน€เธžเธทเนˆเธญเนƒเธŠเน‰เธ™เธดเธžเธˆเธ™เนŒเธ—เธฑเนˆเธงเน„เธ›" softDescription: "เธ‹เนˆเธญเธ™เน‚เธ™เน‰เธ•เนƒเธซเน‰เธ•เธฃเธ‡เธ•เธฒเธกเน€เธ‡เธทเนˆเธญเธ™เน„เธ‚เธ—เธตเนˆเธ•เธฑเน‰เธ‡เน„เธงเน‰เธˆเธฒเธเน„เธ—เธกเนŒเน„เธฅเธ™เนŒ" - hardDescription: "เธ›เน‰เธญเธ‡เธเธฑเธ™เน„เธกเนˆเนƒเธซเน‰เน‚เธ™เน‰เธ•เธขเนˆเธญเธ—เธตเนˆเธ•เธฃเธ‡เธ•เธฒเธกเน€เธ‡เธทเนˆเธญเธ™เน„เธ‚เธ—เธตเนˆเธ•เธฑเน‰เธ‡เน„เธงเน‰เน„เธกเนˆเนƒเธซเน‰เธ–เธนเธเน€เธžเธดเนˆเธกเธฅเธ‡เนƒเธ™เน„เธ—เธกเนŒเน„เธฅเธ™เนŒ เธ™เธญเธเธˆเธฒเธเธ™เธตเน‰ เน‚เธ™เน‰เธ•เน€เธซเธฅเนˆเธฒเธ™เธตเน‰เธˆเธฐเน„เธกเนˆเธ–เธนเธเน€เธžเธดเนˆเธกเธฅเธ‡เนƒเธ™เน„เธ—เธกเนŒเน„เธฅเธ™เนŒเนเธกเน‰เธงเนˆเธฒเธˆเธฐเธกเธตเธเธฒเธฃเน€เธ›เธฅเธตเนˆเธขเธ™เนเธ›เธฅเธ‡เน€เธ‡เธทเนˆเธญเธ™เน„เธ‚เธขเธฑเธ‡เน„เธ‡เธเน‡เธ•เธฒเธก" + hardDescription: "เธ›เน‰เธญเธ‡เธเธฑเธ™เน„เธกเนˆเนƒเธซเน‰เน‚เธ™เน‰เธ•เธขเนˆเธญเธ—เธตเนˆเธ•เธฃเธ‡เธ•เธฒเธกเน€เธ‡เธทเนˆเธญเธ™เน„เธ‚เธ—เธตเนˆเธ•เธฑเน‰เธ‡เน„เธงเน‰เน„เธกเนˆเนƒเธซเน‰เธ–เธนเธเน€เธžเธดเนˆเธกเธฅเธ‡เนƒเธ™เน„เธ—เธกเนŒเน„เธฅเธ™เนŒ + เธ™เธญเธเธˆเธฒเธเธ™เธตเน‰ เน‚เธ™เน‰เธ•เน€เธซเธฅเนˆเธฒเธ™เธตเน‰เธˆเธฐเน„เธกเนˆเธ–เธนเธเน€เธžเธดเนˆเธกเธฅเธ‡เนƒเธ™เน„เธ—เธกเนŒเน„เธฅเธ™เนŒเนเธกเน‰เธงเนˆเธฒเธˆเธฐเธกเธตเธเธฒเธฃเน€เธ›เธฅเธตเนˆเธขเธ™เนเธ›เธฅเธ‡เน€เธ‡เธทเนˆเธญเธ™เน„เธ‚เธขเธฑเธ‡เน„เธ‡เธเน‡เธ•เธฒเธก" soft: "เธ‹เธญเธŸ" hard: "เธขเธฒเธ" mutedNotes: "เธ›เธดเธ”เน€เธชเธตเธขเธ‡เน‚เธ™เน‰เธ•" _instanceMute: - instanceMuteDescription: "เธเธฒเธฃเธ”เธณเน€เธ™เธดเธ™เธเธฒเธฃเธ™เธตเน‰เธˆเธฐเธ›เธดเธ”เน€เธชเธตเธขเธ‡\"เน‚เธ™เน‰เธ•/เธฃเธตเน‚เธ™เน‰เธ•\"เธˆเธฒเธเธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒเธ—เธตเนˆเธญเธขเธนเนˆเนƒเธ™เธฃเธฒเธขเธเธฒเธฃ เธฃเธงเธกเธ–เธถเธ‡เธšเธฑเธ™เธ—เธถเธเธ‚เธญเธ‡เธœเธนเน‰เนƒเธŠเน‰เธ—เธตเนˆเธ•เธญเธšเธเธฅเธฑเธšเธœเธนเน‰เนƒเธŠเน‰เธˆเธฒเธเธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒเธ—เธตเนˆเธ›เธดเธ”เน€เธชเธตเธขเธ‡" + instanceMuteDescription: "เธเธฒเธฃเธ”เธณเน€เธ™เธดเธ™เธเธฒเธฃเธ™เธตเน‰เธˆเธฐเธ›เธดเธ”เน€เธชเธตเธขเธ‡\"เน‚เธ™เน‰เธ•/เธฃเธตเน‚เธ™เน‰เธ•\"เธˆเธฒเธเธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒเธ—เธตเนˆเธญเธขเธนเนˆเนƒเธ™เธฃเธฒเธขเธเธฒเธฃ + เธฃเธงเธกเธ–เธถเธ‡เธšเธฑเธ™เธ—เธถเธเธ‚เธญเธ‡เธœเธนเน‰เนƒเธŠเน‰เธ—เธตเนˆเธ•เธญเธšเธเธฅเธฑเธšเธœเธนเน‰เนƒเธŠเน‰เธˆเธฒเธเธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒเธ—เธตเนˆเธ›เธดเธ”เน€เธชเธตเธขเธ‡" instanceMuteDescription2: "เธ„เธฑเนˆเธ™เธ”เน‰เธงเธขเธเธฒเธฃเธ‚เธถเน‰เธ™เธšเธฃเธฃเธ—เธฑเธ”เนƒเธซเธกเนˆ" title: "เธ‹เนˆเธญเธ™เน‚เธ™เน‰เธ•เธˆเธฒเธเธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒเธ—เธตเนˆเธกเธตเธญเธขเธนเนˆเนƒเธ™เธฃเธฒเธขเธเธฒเธฃ" heading: "เธฃเธฒเธขเธŠเธทเนˆเธญเธญเธดเธ™เธชเนเธ•เธ™เธ‹เนŒเธ—เธตเนˆเธ–เธนเธเธ›เธดเธ”เน€เธชเธตเธขเธ‡" @@ -1191,3 +1247,23 @@ _deck: antenna: "เน€เธชเธฒเธญเธฒเธเธฒเธจ" list: "เธฃเธฒเธขเธเธฒเธฃ" mentions: "เธžเธนเธ”เธ–เธถเธ‡" +noThankYou: เน„เธกเนˆเธฅเนˆเธฐเธ‚เธญเธšเธ„เธธเธ“ +removeReaction: เธฅเธšเธฃเธตเน€เน€เธญเธ”เธŠเธฑเนˆเธ™เธ‚เธญเธ‡เธ„เธธเธ“ +renoteMute: เธ›เธดเธ”เน€เธชเธตเธขเธ‡เธšเธนเธช +renoteUnmute: เน€เธฅเธดเธเธ›เธดเธ”เน€เธชเธตเธขเธ‡เธšเธนเธช +manageGroups: เธˆเธฑเธ”เธเธฒเธฃเธเธฅเธธเนˆเธก +addInstance: เน€เธžเธดเนˆเธกเน€เธ‹เธดเธŸเน€เธงเธญเธฃเนŒ +searchPlaceholder: เธ„เน‰เธ™เธซเธฒ Firefish +deleted: เธฅเธšเนเธฅเน‰เธง +editNote: เนเธเน‰เน„เธ‚เน‚เธžเธชเธ•เนŒ +edited: เนเธเน‰เน„เธ‚เนเธฅเน‰เธงเน€เธกเธทเนˆเธญ {date} {time} +jumpToPrevious: เธ‚เน‰เธฒเธกเน„เธ›เธ—เธตเนˆเธเนˆเธญเธ™เธซเธ™เน‰เธฒเธ™เธตเน‰ +listsDesc: เธฅเธดเธชเธ•เนŒเธฃเธฒเธขเธเธฒเธฃเธ™เธฑเน‰เธ™เธŠเนˆเธงเธขเนƒเธซเน‰เธ„เธธเธ“เน„เธ”เน‰เธชเธฃเน‰เธฒเธ‡เน„เธ—เธกเนŒเน„เธฅเธ™เนŒเธเธฑเธšเธœเธนเน‰เนƒเธŠเน‰เธ—เธตเนˆเธฃเธฐเธšเธธเน„เธ”เน‰เธ™เธฐ เธขเธฑเธ‡เธชเธฒเธกเธฒเธฃเธ–เน€เธ‚เน‰เธฒเธ–เธถเธ‡เน„เธ”เน‰เธˆเธฒเธเธซเธ™เน‰เธฒเน„เธ—เธกเนŒเน„เธฅเธ™เนŒเน„เธ”เน‰เธญเธตเธเธ”เน‰เธงเธข +enableEmojiReactions: เน€เธ›เธดเธ”เนƒเธŠเน‰เธ‡เธฒเธ™เธฃเธตเนเธญเธ”เธŠเธฑเนˆเธ™เธญเธตเน‚เธกเธˆเธด +selectChannel: เน€เธฅเธทเธญเธเธŠเนˆเธญเธ‡ +older: เน€เธเนˆเธฒเธเธงเนˆเธฒเธ™เธตเน‰ +newer: เนƒเธซเธกเนˆเธเธงเนˆเธฒเธ™เธตเน‰ +selectInstance: เน€เธฅเธทเธญเธเน€เธ‹เธดเธŸเน€เธงเธญเธฃเนŒ +showEmojisInReactionNotifications: เนเธชเธ”เธ‡เธญเธดเน‚เธกเธˆเธดเนƒเธ™เธเธฒเธฃเนเธˆเน‰เธ‡เน€เธ•เธทเธญเธ™เธฃเธตเนเธญเธ„เธŠเธฑเนˆเธ™ +flagSpeakAsCat: เธžเธนเธ”เน€เธซเธกเธทเธญเธ™เนเธกเธง +cw: เธ„เธณเน€เธ•เธทเธญเธ™เน€เธ™เธทเน‰เธญเธซเธฒ diff --git a/package.json b/package.json index 8733eaa98e..265904bf25 100644 --- a/package.json +++ b/package.json @@ -1,16 +1,16 @@ { "name": "firefish", - "version": "1.0.5-dev6", + "version": "1.0.5-dev9", "codename": "aqua", "repository": { "type": "git", "url": "https://git.joinfirefish.org/firefish/firefish.git" }, - "packageManager": "pnpm@8.6.11", + "packageManager": "pnpm@8.7.1", "private": true, "scripts": { - "rebuild": "pnpm run clean && pnpm node ./scripts/build-greet.js && pnpm -r --parallel run build && pnpm run gulp", - "build": "pnpm node ./scripts/build-greet.js && pnpm -r --parallel run build && pnpm run gulp", + "rebuild": "pnpm run clean && ./scripts/build-greet.sh && pnpm -r --parallel run build && pnpm run gulp", + "build": "./scripts/build-greet.sh && pnpm -r --parallel run build && pnpm run gulp", "start": "pnpm --filter backend run start", "start:test": "pnpm --filter backend run start:test", "init": "pnpm run migrate", @@ -38,18 +38,19 @@ "chokidar": "^3.3.1" }, "dependencies": { - "@bull-board/api": "5.7.2", - "@bull-board/ui": "5.7.2", + "@bull-board/api": "5.8.0", + "@bull-board/ui": "5.8.0", "@napi-rs/cli": "^2.16.2", - "@tensorflow/tfjs": "^3.21.0", + "@tensorflow/tfjs": "^4.10.0", "js-yaml": "4.1.0", "seedrandom": "^3.0.5" }, "devDependencies": { + "@biomejs/biome": "1.0.0", "@types/gulp": "4.0.13", "@types/gulp-rename": "2.0.2", - "@types/node": "20.4.9", - "chalk": "4.1.2", + "@types/node": "20.5.8", + "add": "2.0.6", "cross-env": "7.0.3", "cypress": "10.11.0", "execa": "5.1.1", @@ -59,8 +60,8 @@ "gulp-replace": "1.1.4", "gulp-terser": "2.1.0", "install-peers": "^1.0.4", - "rome": "^12.1.3", + "pnpm": "8.7.1", "start-server-and-test": "1.15.2", - "typescript": "5.1.6" + "typescript": "5.2.2" } } diff --git a/packages/backend/assets/icons/192.png b/packages/backend/assets/icons/192.png index da83b75bca..b84abe9b60 100644 Binary files a/packages/backend/assets/icons/192.png and b/packages/backend/assets/icons/192.png differ diff --git a/packages/backend/assets/icons/512.png b/packages/backend/assets/icons/512.png index 8e74853b34..be83db8cf8 100644 Binary files a/packages/backend/assets/icons/512.png and b/packages/backend/assets/icons/512.png differ diff --git a/packages/backend/assets/icons/maskable.png b/packages/backend/assets/icons/maskable.png deleted file mode 100644 index 15828d749d..0000000000 Binary files a/packages/backend/assets/icons/maskable.png and /dev/null differ diff --git a/packages/backend/assets/icons/monochrome.png b/packages/backend/assets/icons/monochrome.png index cce6436012..8eb1955d89 100644 Binary files a/packages/backend/assets/icons/monochrome.png and b/packages/backend/assets/icons/monochrome.png differ diff --git a/packages/backend/native-utils/Cargo.lock b/packages/backend/native-utils/Cargo.lock index f2f3745b1c..95d3e9af23 100644 --- a/packages/backend/native-utils/Cargo.lock +++ b/packages/backend/native-utils/Cargo.lock @@ -1305,6 +1305,7 @@ checksum = "2dffe52ecf27772e601905b7522cb4ef790d2cc203488bbd0e2fe85fcb74566d" name = "migration" version = "0.1.0" dependencies = [ + "basen", "futures", "indicatif", "native-utils", diff --git a/packages/backend/native-utils/migration/Cargo.toml b/packages/backend/native-utils/migration/Cargo.toml index 32adb62c81..454d9bff43 100644 --- a/packages/backend/native-utils/migration/Cargo.toml +++ b/packages/backend/native-utils/migration/Cargo.toml @@ -10,11 +10,11 @@ path = "src/lib.rs" [features] default = [] -convert = ["dep:indicatif", "dep:futures"] +convert = ["dep:native-utils", "dep:indicatif", "dep:futures"] [dependencies] serde_json = "1.0.96" -native-utils = { path = "../" } +native-utils = { path = "../", optional = true } indicatif = { version = "0.17.4", features = ["tokio"], optional = true } tokio = { version = "1.28.2", features = ["full"] } futures = { version = "0.3.28", optional = true } @@ -24,6 +24,7 @@ urlencoding = "2.1.2" redis = { version = "0.23.0", features = ["tokio-rustls-comp"] } sea-orm = "0.11.3" url = { version = "2.4.0", features = ["serde"] } +basen = "0.1.0" [dependencies.sea-orm-migration] version = "0.11.0" diff --git a/packages/backend/native-utils/migration/src/lib.rs b/packages/backend/native-utils/migration/src/lib.rs index dbe2ce1a0c..57ca203f6d 100644 --- a/packages/backend/native-utils/migration/src/lib.rs +++ b/packages/backend/native-utils/migration/src/lib.rs @@ -1,5 +1,7 @@ pub use sea_orm_migration::prelude::*; +use basen::BASE36; + mod m20230531_180824_drop_reversi; mod m20230627_185451_index_note_url; mod m20230709_000510_move_antenna_to_cache; @@ -18,3 +20,12 @@ impl MigratorTrait for Migrator { ] } } + +pub fn get_timestamp(id: &str) -> i64 { + const TIME_2000: i64 = 946_684_800_000; + let n: Option = BASE36.decode_var_len(&id[0..8]); + match n { + None => -1, + Some(n) => n as i64 + TIME_2000, + } +} diff --git a/packages/backend/native-utils/migration/src/m20230806_170616_fix_antenna_stream_ids.rs b/packages/backend/native-utils/migration/src/m20230806_170616_fix_antenna_stream_ids.rs index ea23f4319f..6d45b76139 100644 --- a/packages/backend/native-utils/migration/src/m20230806_170616_fix_antenna_stream_ids.rs +++ b/packages/backend/native-utils/migration/src/m20230806_170616_fix_antenna_stream_ids.rs @@ -1,9 +1,10 @@ use std::env; -use native_utils::util::id; use redis::Commands; use sea_orm_migration::prelude::*; +use crate::get_timestamp; + #[derive(DeriveMigrationName)] pub struct Migration; @@ -31,7 +32,7 @@ impl MigrationTrait for Migration { let all_elems: Vec>> = redis_conn.xrange_all(key).unwrap(); // Get all post IDs in stream let stream_ids = all_elems .iter() - .map(|v| format!("{}-*", id::get_timestamp(&v[1][1]))); // Get correct stream id with timestamp + .map(|v| format!("{}-*", get_timestamp(&v[1][1]))); // Get correct stream id with timestamp redis_conn.del::<_, ()>(key).unwrap(); for (j, v) in stream_ids.enumerate() { redis_conn diff --git a/packages/backend/native-utils/package.json b/packages/backend/native-utils/package.json index 98b4e6fec9..180c24cbe3 100644 --- a/packages/backend/native-utils/package.json +++ b/packages/backend/native-utils/package.json @@ -42,8 +42,8 @@ "test": "pnpm run cargo:test && pnpm run build:napi && ava", "universal": "napi universal", "version": "napi version", - "format": "cargo fmt --all", - "lint": "cargo clippy --fix", + "format": "cargo fmt --all -- --check", + "lint": "cargo clippy --fix --allow-dirty --allow-staged && cargo fmt --all -- --check", "cargo:test": "pnpm run cargo:unit && pnpm run cargo:integration", "cargo:unit": "cargo test unit_test && cargo test -F napi unit_test", "cargo:integration": "cargo test -F noarray int_test -- --test-threads=1" diff --git a/packages/backend/nsfw-model/model.json b/packages/backend/nsfw-model/model.json index 8b24b119bc..fde062a3ce 100644 --- a/packages/backend/nsfw-model/model.json +++ b/packages/backend/nsfw-model/model.json @@ -1 +1,10929 @@ -{"modelTopology": {"keras_version": "2.2.4", "backend": "tensorflow", "model_config": {"class_name": "Model", "config": {"name": "model_1", "layers": [{"name": "input_1", "class_name": "InputLayer", "config": {"batch_input_shape": [null, 299, 299, 3], "dtype": "float32", "sparse": false, "name": "input_1"}, "inbound_nodes": []}, {"name": "conv2d_1", "class_name": "Conv2D", "config": {"name": "conv2d_1", "trainable": false, "filters": 32, "kernel_size": [3, 3], "strides": [2, 2], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["input_1", 0, 0, {}]]]}, {"name": "batch_normalization_1", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_1", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_1", 0, 0, {}]]]}, {"name": "activation_1", "class_name": "Activation", "config": {"name": "activation_1", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_1", 0, 0, {}]]]}, {"name": "conv2d_2", "class_name": "Conv2D", "config": {"name": "conv2d_2", "trainable": false, "filters": 32, "kernel_size": [3, 3], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_1", 0, 0, {}]]]}, {"name": "batch_normalization_2", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_2", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_2", 0, 0, {}]]]}, {"name": "activation_2", "class_name": "Activation", "config": {"name": "activation_2", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_2", 0, 0, {}]]]}, {"name": "conv2d_3", "class_name": "Conv2D", "config": {"name": "conv2d_3", "trainable": false, "filters": 64, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_2", 0, 0, {}]]]}, {"name": "batch_normalization_3", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_3", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_3", 0, 0, {}]]]}, {"name": "activation_3", "class_name": "Activation", "config": {"name": "activation_3", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_3", 0, 0, {}]]]}, {"name": "max_pooling2d_1", "class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_1", "trainable": false, "pool_size": [3, 3], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}, "inbound_nodes": [[["activation_3", 0, 0, {}]]]}, {"name": "conv2d_4", "class_name": "Conv2D", "config": {"name": "conv2d_4", "trainable": false, "filters": 80, "kernel_size": [1, 1], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["max_pooling2d_1", 0, 0, {}]]]}, {"name": "batch_normalization_4", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_4", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_4", 0, 0, {}]]]}, {"name": "activation_4", "class_name": "Activation", "config": {"name": "activation_4", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_4", 0, 0, {}]]]}, {"name": "conv2d_5", "class_name": "Conv2D", "config": {"name": "conv2d_5", "trainable": false, "filters": 192, "kernel_size": [3, 3], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_4", 0, 0, {}]]]}, {"name": "batch_normalization_5", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_5", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_5", 0, 0, {}]]]}, {"name": "activation_5", "class_name": "Activation", "config": {"name": "activation_5", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_5", 0, 0, {}]]]}, {"name": "max_pooling2d_2", "class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_2", "trainable": false, "pool_size": [3, 3], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}, "inbound_nodes": [[["activation_5", 0, 0, {}]]]}, {"name": "conv2d_9", "class_name": "Conv2D", "config": {"name": "conv2d_9", "trainable": false, "filters": 64, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["max_pooling2d_2", 0, 0, {}]]]}, {"name": "batch_normalization_9", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_9", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_9", 0, 0, {}]]]}, {"name": "activation_9", "class_name": "Activation", "config": {"name": "activation_9", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_9", 0, 0, {}]]]}, {"name": "conv2d_7", "class_name": "Conv2D", "config": {"name": "conv2d_7", "trainable": false, "filters": 48, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["max_pooling2d_2", 0, 0, {}]]]}, {"name": "conv2d_10", "class_name": "Conv2D", "config": {"name": "conv2d_10", "trainable": false, "filters": 96, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_9", 0, 0, {}]]]}, {"name": "batch_normalization_7", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_7", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_7", 0, 0, {}]]]}, {"name": "batch_normalization_10", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_10", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_10", 0, 0, {}]]]}, {"name": "activation_7", "class_name": "Activation", "config": {"name": "activation_7", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_7", 0, 0, {}]]]}, {"name": "activation_10", "class_name": "Activation", "config": {"name": "activation_10", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_10", 0, 0, {}]]]}, {"name": "average_pooling2d_1", "class_name": "AveragePooling2D", "config": {"name": "average_pooling2d_1", "trainable": false, "pool_size": [3, 3], "padding": "same", "strides": [1, 1], "data_format": "channels_last"}, "inbound_nodes": [[["max_pooling2d_2", 0, 0, {}]]]}, {"name": "conv2d_6", "class_name": "Conv2D", "config": {"name": "conv2d_6", "trainable": false, "filters": 64, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["max_pooling2d_2", 0, 0, {}]]]}, {"name": "conv2d_8", "class_name": "Conv2D", "config": {"name": "conv2d_8", "trainable": false, "filters": 64, "kernel_size": [5, 5], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_7", 0, 0, {}]]]}, {"name": "conv2d_11", "class_name": "Conv2D", "config": {"name": "conv2d_11", "trainable": false, "filters": 96, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_10", 0, 0, {}]]]}, {"name": "conv2d_12", "class_name": "Conv2D", "config": {"name": "conv2d_12", "trainable": false, "filters": 32, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["average_pooling2d_1", 0, 0, {}]]]}, {"name": "batch_normalization_6", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_6", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_6", 0, 0, {}]]]}, {"name": "batch_normalization_8", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_8", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_8", 0, 0, {}]]]}, {"name": "batch_normalization_11", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_11", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_11", 0, 0, {}]]]}, {"name": "batch_normalization_12", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_12", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_12", 0, 0, {}]]]}, {"name": "activation_6", "class_name": "Activation", "config": {"name": "activation_6", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_6", 0, 0, {}]]]}, {"name": "activation_8", "class_name": "Activation", "config": {"name": "activation_8", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_8", 0, 0, {}]]]}, {"name": "activation_11", "class_name": "Activation", "config": {"name": "activation_11", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_11", 0, 0, {}]]]}, {"name": "activation_12", "class_name": "Activation", "config": {"name": "activation_12", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_12", 0, 0, {}]]]}, {"name": "mixed0", "class_name": "Concatenate", "config": {"name": "mixed0", "trainable": false, "axis": 3}, "inbound_nodes": [[["activation_6", 0, 0, {}], ["activation_8", 0, 0, {}], ["activation_11", 0, 0, {}], ["activation_12", 0, 0, {}]]]}, {"name": "conv2d_16", "class_name": "Conv2D", "config": {"name": "conv2d_16", "trainable": false, "filters": 64, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed0", 0, 0, {}]]]}, {"name": "batch_normalization_16", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_16", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_16", 0, 0, {}]]]}, {"name": "activation_16", "class_name": "Activation", "config": {"name": "activation_16", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_16", 0, 0, {}]]]}, {"name": "conv2d_14", "class_name": "Conv2D", "config": {"name": "conv2d_14", "trainable": false, "filters": 48, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed0", 0, 0, {}]]]}, {"name": "conv2d_17", "class_name": "Conv2D", "config": {"name": "conv2d_17", "trainable": false, "filters": 96, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_16", 0, 0, {}]]]}, {"name": "batch_normalization_14", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_14", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_14", 0, 0, {}]]]}, {"name": "batch_normalization_17", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_17", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_17", 0, 0, {}]]]}, {"name": "activation_14", "class_name": "Activation", "config": {"name": "activation_14", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_14", 0, 0, {}]]]}, {"name": "activation_17", "class_name": "Activation", "config": {"name": "activation_17", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_17", 0, 0, {}]]]}, {"name": "average_pooling2d_2", "class_name": "AveragePooling2D", "config": {"name": "average_pooling2d_2", "trainable": false, "pool_size": [3, 3], "padding": "same", "strides": [1, 1], "data_format": "channels_last"}, "inbound_nodes": [[["mixed0", 0, 0, {}]]]}, {"name": "conv2d_13", "class_name": "Conv2D", "config": {"name": "conv2d_13", "trainable": false, "filters": 64, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed0", 0, 0, {}]]]}, {"name": "conv2d_15", "class_name": "Conv2D", "config": {"name": "conv2d_15", "trainable": false, "filters": 64, "kernel_size": [5, 5], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_14", 0, 0, {}]]]}, {"name": "conv2d_18", "class_name": "Conv2D", "config": {"name": "conv2d_18", "trainable": false, "filters": 96, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_17", 0, 0, {}]]]}, {"name": "conv2d_19", "class_name": "Conv2D", "config": {"name": "conv2d_19", "trainable": false, "filters": 64, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["average_pooling2d_2", 0, 0, {}]]]}, {"name": "batch_normalization_13", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_13", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_13", 0, 0, {}]]]}, {"name": "batch_normalization_15", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_15", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_15", 0, 0, {}]]]}, {"name": "batch_normalization_18", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_18", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_18", 0, 0, {}]]]}, {"name": "batch_normalization_19", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_19", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_19", 0, 0, {}]]]}, {"name": "activation_13", "class_name": "Activation", "config": {"name": "activation_13", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_13", 0, 0, {}]]]}, {"name": "activation_15", "class_name": "Activation", "config": {"name": "activation_15", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_15", 0, 0, {}]]]}, {"name": "activation_18", "class_name": "Activation", "config": {"name": "activation_18", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_18", 0, 0, {}]]]}, {"name": "activation_19", "class_name": "Activation", "config": {"name": "activation_19", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_19", 0, 0, {}]]]}, {"name": "mixed1", "class_name": "Concatenate", "config": {"name": "mixed1", "trainable": false, "axis": 3}, "inbound_nodes": [[["activation_13", 0, 0, {}], ["activation_15", 0, 0, {}], ["activation_18", 0, 0, {}], ["activation_19", 0, 0, {}]]]}, {"name": "conv2d_23", "class_name": "Conv2D", "config": {"name": "conv2d_23", "trainable": false, "filters": 64, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed1", 0, 0, {}]]]}, {"name": "batch_normalization_23", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_23", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_23", 0, 0, {}]]]}, {"name": "activation_23", "class_name": "Activation", "config": {"name": "activation_23", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_23", 0, 0, {}]]]}, {"name": "conv2d_21", "class_name": "Conv2D", "config": {"name": "conv2d_21", "trainable": false, "filters": 48, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed1", 0, 0, {}]]]}, {"name": "conv2d_24", "class_name": "Conv2D", "config": {"name": "conv2d_24", "trainable": false, "filters": 96, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_23", 0, 0, {}]]]}, {"name": "batch_normalization_21", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_21", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_21", 0, 0, {}]]]}, {"name": "batch_normalization_24", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_24", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_24", 0, 0, {}]]]}, {"name": "activation_21", "class_name": "Activation", "config": {"name": "activation_21", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_21", 0, 0, {}]]]}, {"name": "activation_24", "class_name": "Activation", "config": {"name": "activation_24", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_24", 0, 0, {}]]]}, {"name": "average_pooling2d_3", "class_name": "AveragePooling2D", "config": {"name": "average_pooling2d_3", "trainable": false, "pool_size": [3, 3], "padding": "same", "strides": [1, 1], "data_format": "channels_last"}, "inbound_nodes": [[["mixed1", 0, 0, {}]]]}, {"name": "conv2d_20", "class_name": "Conv2D", "config": {"name": "conv2d_20", "trainable": false, "filters": 64, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed1", 0, 0, {}]]]}, {"name": "conv2d_22", "class_name": "Conv2D", "config": {"name": "conv2d_22", "trainable": false, "filters": 64, "kernel_size": [5, 5], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_21", 0, 0, {}]]]}, {"name": "conv2d_25", "class_name": "Conv2D", "config": {"name": "conv2d_25", "trainable": false, "filters": 96, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_24", 0, 0, {}]]]}, {"name": "conv2d_26", "class_name": "Conv2D", "config": {"name": "conv2d_26", "trainable": false, "filters": 64, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["average_pooling2d_3", 0, 0, {}]]]}, {"name": "batch_normalization_20", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_20", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_20", 0, 0, {}]]]}, {"name": "batch_normalization_22", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_22", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_22", 0, 0, {}]]]}, {"name": "batch_normalization_25", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_25", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_25", 0, 0, {}]]]}, {"name": "batch_normalization_26", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_26", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_26", 0, 0, {}]]]}, {"name": "activation_20", "class_name": "Activation", "config": {"name": "activation_20", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_20", 0, 0, {}]]]}, {"name": "activation_22", "class_name": "Activation", "config": {"name": "activation_22", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_22", 0, 0, {}]]]}, {"name": "activation_25", "class_name": "Activation", "config": {"name": "activation_25", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_25", 0, 0, {}]]]}, {"name": "activation_26", "class_name": "Activation", "config": {"name": "activation_26", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_26", 0, 0, {}]]]}, {"name": "mixed2", "class_name": "Concatenate", "config": {"name": "mixed2", "trainable": false, "axis": 3}, "inbound_nodes": [[["activation_20", 0, 0, {}], ["activation_22", 0, 0, {}], ["activation_25", 0, 0, {}], ["activation_26", 0, 0, {}]]]}, {"name": "conv2d_28", "class_name": "Conv2D", "config": {"name": "conv2d_28", "trainable": false, "filters": 64, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed2", 0, 0, {}]]]}, {"name": "batch_normalization_28", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_28", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_28", 0, 0, {}]]]}, {"name": "activation_28", "class_name": "Activation", "config": {"name": "activation_28", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_28", 0, 0, {}]]]}, {"name": "conv2d_29", "class_name": "Conv2D", "config": {"name": "conv2d_29", "trainable": false, "filters": 96, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_28", 0, 0, {}]]]}, {"name": "batch_normalization_29", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_29", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_29", 0, 0, {}]]]}, {"name": "activation_29", "class_name": "Activation", "config": {"name": "activation_29", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_29", 0, 0, {}]]]}, {"name": "conv2d_27", "class_name": "Conv2D", "config": {"name": "conv2d_27", "trainable": false, "filters": 384, "kernel_size": [3, 3], "strides": [2, 2], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed2", 0, 0, {}]]]}, {"name": "conv2d_30", "class_name": "Conv2D", "config": {"name": "conv2d_30", "trainable": false, "filters": 96, "kernel_size": [3, 3], "strides": [2, 2], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_29", 0, 0, {}]]]}, {"name": "batch_normalization_27", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_27", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_27", 0, 0, {}]]]}, {"name": "batch_normalization_30", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_30", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_30", 0, 0, {}]]]}, {"name": "activation_27", "class_name": "Activation", "config": {"name": "activation_27", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_27", 0, 0, {}]]]}, {"name": "activation_30", "class_name": "Activation", "config": {"name": "activation_30", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_30", 0, 0, {}]]]}, {"name": "max_pooling2d_3", "class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_3", "trainable": false, "pool_size": [3, 3], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}, "inbound_nodes": [[["mixed2", 0, 0, {}]]]}, {"name": "mixed3", "class_name": "Concatenate", "config": {"name": "mixed3", "trainable": false, "axis": 3}, "inbound_nodes": [[["activation_27", 0, 0, {}], ["activation_30", 0, 0, {}], ["max_pooling2d_3", 0, 0, {}]]]}, {"name": "conv2d_35", "class_name": "Conv2D", "config": {"name": "conv2d_35", "trainable": false, "filters": 128, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed3", 0, 0, {}]]]}, {"name": "batch_normalization_35", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_35", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_35", 0, 0, {}]]]}, {"name": "activation_35", "class_name": "Activation", "config": {"name": "activation_35", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_35", 0, 0, {}]]]}, {"name": "conv2d_36", "class_name": "Conv2D", "config": {"name": "conv2d_36", "trainable": false, "filters": 128, "kernel_size": [7, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_35", 0, 0, {}]]]}, {"name": "batch_normalization_36", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_36", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_36", 0, 0, {}]]]}, {"name": "activation_36", "class_name": "Activation", "config": {"name": "activation_36", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_36", 0, 0, {}]]]}, {"name": "conv2d_32", "class_name": "Conv2D", "config": {"name": "conv2d_32", "trainable": false, "filters": 128, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed3", 0, 0, {}]]]}, {"name": "conv2d_37", "class_name": "Conv2D", "config": {"name": "conv2d_37", "trainable": false, "filters": 128, "kernel_size": [1, 7], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_36", 0, 0, {}]]]}, {"name": "batch_normalization_32", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_32", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_32", 0, 0, {}]]]}, {"name": "batch_normalization_37", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_37", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_37", 0, 0, {}]]]}, {"name": "activation_32", "class_name": "Activation", "config": {"name": "activation_32", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_32", 0, 0, {}]]]}, {"name": "activation_37", "class_name": "Activation", "config": {"name": "activation_37", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_37", 0, 0, {}]]]}, {"name": "conv2d_33", "class_name": "Conv2D", "config": {"name": "conv2d_33", "trainable": false, "filters": 128, "kernel_size": [1, 7], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_32", 0, 0, {}]]]}, {"name": "conv2d_38", "class_name": "Conv2D", "config": {"name": "conv2d_38", "trainable": false, "filters": 128, "kernel_size": [7, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_37", 0, 0, {}]]]}, {"name": "batch_normalization_33", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_33", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_33", 0, 0, {}]]]}, {"name": "batch_normalization_38", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_38", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_38", 0, 0, {}]]]}, {"name": "activation_33", "class_name": "Activation", "config": {"name": "activation_33", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_33", 0, 0, {}]]]}, {"name": "activation_38", "class_name": "Activation", "config": {"name": "activation_38", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_38", 0, 0, {}]]]}, {"name": "average_pooling2d_4", "class_name": "AveragePooling2D", "config": {"name": "average_pooling2d_4", "trainable": false, "pool_size": [3, 3], "padding": "same", "strides": [1, 1], "data_format": "channels_last"}, "inbound_nodes": [[["mixed3", 0, 0, {}]]]}, {"name": "conv2d_31", "class_name": "Conv2D", "config": {"name": "conv2d_31", "trainable": false, "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed3", 0, 0, {}]]]}, {"name": "conv2d_34", "class_name": "Conv2D", "config": {"name": "conv2d_34", "trainable": false, "filters": 192, "kernel_size": [7, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_33", 0, 0, {}]]]}, {"name": "conv2d_39", "class_name": "Conv2D", "config": {"name": "conv2d_39", "trainable": false, "filters": 192, "kernel_size": [1, 7], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_38", 0, 0, {}]]]}, {"name": "conv2d_40", "class_name": "Conv2D", "config": {"name": "conv2d_40", "trainable": false, "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["average_pooling2d_4", 0, 0, {}]]]}, {"name": "batch_normalization_31", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_31", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_31", 0, 0, {}]]]}, {"name": "batch_normalization_34", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_34", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_34", 0, 0, {}]]]}, {"name": "batch_normalization_39", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_39", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_39", 0, 0, {}]]]}, {"name": "batch_normalization_40", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_40", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_40", 0, 0, {}]]]}, {"name": "activation_31", "class_name": "Activation", "config": {"name": "activation_31", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_31", 0, 0, {}]]]}, {"name": "activation_34", "class_name": "Activation", "config": {"name": "activation_34", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_34", 0, 0, {}]]]}, {"name": "activation_39", "class_name": "Activation", "config": {"name": "activation_39", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_39", 0, 0, {}]]]}, {"name": "activation_40", "class_name": "Activation", "config": {"name": "activation_40", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_40", 0, 0, {}]]]}, {"name": "mixed4", "class_name": "Concatenate", "config": {"name": "mixed4", "trainable": false, "axis": 3}, "inbound_nodes": [[["activation_31", 0, 0, {}], ["activation_34", 0, 0, {}], ["activation_39", 0, 0, {}], ["activation_40", 0, 0, {}]]]}, {"name": "conv2d_45", "class_name": "Conv2D", "config": {"name": "conv2d_45", "trainable": false, "filters": 160, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed4", 0, 0, {}]]]}, {"name": "batch_normalization_45", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_45", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_45", 0, 0, {}]]]}, {"name": "activation_45", "class_name": "Activation", "config": {"name": "activation_45", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_45", 0, 0, {}]]]}, {"name": "conv2d_46", "class_name": "Conv2D", "config": {"name": "conv2d_46", "trainable": false, "filters": 160, "kernel_size": [7, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_45", 0, 0, {}]]]}, {"name": "batch_normalization_46", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_46", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_46", 0, 0, {}]]]}, {"name": "activation_46", "class_name": "Activation", "config": {"name": "activation_46", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_46", 0, 0, {}]]]}, {"name": "conv2d_42", "class_name": "Conv2D", "config": {"name": "conv2d_42", "trainable": false, "filters": 160, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed4", 0, 0, {}]]]}, {"name": "conv2d_47", "class_name": "Conv2D", "config": {"name": "conv2d_47", "trainable": false, "filters": 160, "kernel_size": [1, 7], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_46", 0, 0, {}]]]}, {"name": "batch_normalization_42", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_42", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_42", 0, 0, {}]]]}, {"name": "batch_normalization_47", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_47", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_47", 0, 0, {}]]]}, {"name": "activation_42", "class_name": "Activation", "config": {"name": "activation_42", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_42", 0, 0, {}]]]}, {"name": "activation_47", "class_name": "Activation", "config": {"name": "activation_47", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_47", 0, 0, {}]]]}, {"name": "conv2d_43", "class_name": "Conv2D", "config": {"name": "conv2d_43", "trainable": false, "filters": 160, "kernel_size": [1, 7], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_42", 0, 0, {}]]]}, {"name": "conv2d_48", "class_name": "Conv2D", "config": {"name": "conv2d_48", "trainable": false, "filters": 160, "kernel_size": [7, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_47", 0, 0, {}]]]}, {"name": "batch_normalization_43", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_43", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_43", 0, 0, {}]]]}, {"name": "batch_normalization_48", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_48", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_48", 0, 0, {}]]]}, {"name": "activation_43", "class_name": "Activation", "config": {"name": "activation_43", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_43", 0, 0, {}]]]}, {"name": "activation_48", "class_name": "Activation", "config": {"name": "activation_48", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_48", 0, 0, {}]]]}, {"name": "average_pooling2d_5", "class_name": "AveragePooling2D", "config": {"name": "average_pooling2d_5", "trainable": false, "pool_size": [3, 3], "padding": "same", "strides": [1, 1], "data_format": "channels_last"}, "inbound_nodes": [[["mixed4", 0, 0, {}]]]}, {"name": "conv2d_41", "class_name": "Conv2D", "config": {"name": "conv2d_41", "trainable": false, "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed4", 0, 0, {}]]]}, {"name": "conv2d_44", "class_name": "Conv2D", "config": {"name": "conv2d_44", "trainable": false, "filters": 192, "kernel_size": [7, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_43", 0, 0, {}]]]}, {"name": "conv2d_49", "class_name": "Conv2D", "config": {"name": "conv2d_49", "trainable": false, "filters": 192, "kernel_size": [1, 7], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_48", 0, 0, {}]]]}, {"name": "conv2d_50", "class_name": "Conv2D", "config": {"name": "conv2d_50", "trainable": false, "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["average_pooling2d_5", 0, 0, {}]]]}, {"name": "batch_normalization_41", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_41", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_41", 0, 0, {}]]]}, {"name": "batch_normalization_44", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_44", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_44", 0, 0, {}]]]}, {"name": "batch_normalization_49", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_49", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_49", 0, 0, {}]]]}, {"name": "batch_normalization_50", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_50", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_50", 0, 0, {}]]]}, {"name": "activation_41", "class_name": "Activation", "config": {"name": "activation_41", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_41", 0, 0, {}]]]}, {"name": "activation_44", "class_name": "Activation", "config": {"name": "activation_44", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_44", 0, 0, {}]]]}, {"name": "activation_49", "class_name": "Activation", "config": {"name": "activation_49", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_49", 0, 0, {}]]]}, {"name": "activation_50", "class_name": "Activation", "config": {"name": "activation_50", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_50", 0, 0, {}]]]}, {"name": "mixed5", "class_name": "Concatenate", "config": {"name": "mixed5", "trainable": false, "axis": 3}, "inbound_nodes": [[["activation_41", 0, 0, {}], ["activation_44", 0, 0, {}], ["activation_49", 0, 0, {}], ["activation_50", 0, 0, {}]]]}, {"name": "conv2d_55", "class_name": "Conv2D", "config": {"name": "conv2d_55", "trainable": false, "filters": 160, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed5", 0, 0, {}]]]}, {"name": "batch_normalization_55", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_55", "trainable": false, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_55", 0, 0, {}]]]}, {"name": "activation_55", "class_name": "Activation", "config": {"name": "activation_55", "trainable": false, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_55", 0, 0, {}]]]}, {"name": "conv2d_56", "class_name": "Conv2D", "config": {"name": "conv2d_56", "trainable": true, "filters": 160, "kernel_size": [7, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_55", 0, 0, {}]]]}, {"name": "batch_normalization_56", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_56", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_56", 0, 0, {}]]]}, {"name": "activation_56", "class_name": "Activation", "config": {"name": "activation_56", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_56", 0, 0, {}]]]}, {"name": "conv2d_52", "class_name": "Conv2D", "config": {"name": "conv2d_52", "trainable": true, "filters": 160, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed5", 0, 0, {}]]]}, {"name": "conv2d_57", "class_name": "Conv2D", "config": {"name": "conv2d_57", "trainable": true, "filters": 160, "kernel_size": [1, 7], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_56", 0, 0, {}]]]}, {"name": "batch_normalization_52", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_52", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_52", 0, 0, {}]]]}, {"name": "batch_normalization_57", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_57", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_57", 0, 0, {}]]]}, {"name": "activation_52", "class_name": "Activation", "config": {"name": "activation_52", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_52", 0, 0, {}]]]}, {"name": "activation_57", "class_name": "Activation", "config": {"name": "activation_57", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_57", 0, 0, {}]]]}, {"name": "conv2d_53", "class_name": "Conv2D", "config": {"name": "conv2d_53", "trainable": true, "filters": 160, "kernel_size": [1, 7], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_52", 0, 0, {}]]]}, {"name": "conv2d_58", "class_name": "Conv2D", "config": {"name": "conv2d_58", "trainable": true, "filters": 160, "kernel_size": [7, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_57", 0, 0, {}]]]}, {"name": "batch_normalization_53", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_53", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_53", 0, 0, {}]]]}, {"name": "batch_normalization_58", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_58", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_58", 0, 0, {}]]]}, {"name": "activation_53", "class_name": "Activation", "config": {"name": "activation_53", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_53", 0, 0, {}]]]}, {"name": "activation_58", "class_name": "Activation", "config": {"name": "activation_58", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_58", 0, 0, {}]]]}, {"name": "average_pooling2d_6", "class_name": "AveragePooling2D", "config": {"name": "average_pooling2d_6", "trainable": true, "pool_size": [3, 3], "padding": "same", "strides": [1, 1], "data_format": "channels_last"}, "inbound_nodes": [[["mixed5", 0, 0, {}]]]}, {"name": "conv2d_51", "class_name": "Conv2D", "config": {"name": "conv2d_51", "trainable": true, "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed5", 0, 0, {}]]]}, {"name": "conv2d_54", "class_name": "Conv2D", "config": {"name": "conv2d_54", "trainable": true, "filters": 192, "kernel_size": [7, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_53", 0, 0, {}]]]}, {"name": "conv2d_59", "class_name": "Conv2D", "config": {"name": "conv2d_59", "trainable": true, "filters": 192, "kernel_size": [1, 7], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_58", 0, 0, {}]]]}, {"name": "conv2d_60", "class_name": "Conv2D", "config": {"name": "conv2d_60", "trainable": true, "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["average_pooling2d_6", 0, 0, {}]]]}, {"name": "batch_normalization_51", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_51", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_51", 0, 0, {}]]]}, {"name": "batch_normalization_54", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_54", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_54", 0, 0, {}]]]}, {"name": "batch_normalization_59", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_59", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_59", 0, 0, {}]]]}, {"name": "batch_normalization_60", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_60", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_60", 0, 0, {}]]]}, {"name": "activation_51", "class_name": "Activation", "config": {"name": "activation_51", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_51", 0, 0, {}]]]}, {"name": "activation_54", "class_name": "Activation", "config": {"name": "activation_54", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_54", 0, 0, {}]]]}, {"name": "activation_59", "class_name": "Activation", "config": {"name": "activation_59", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_59", 0, 0, {}]]]}, {"name": "activation_60", "class_name": "Activation", "config": {"name": "activation_60", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_60", 0, 0, {}]]]}, {"name": "mixed6", "class_name": "Concatenate", "config": {"name": "mixed6", "trainable": true, "axis": 3}, "inbound_nodes": [[["activation_51", 0, 0, {}], ["activation_54", 0, 0, {}], ["activation_59", 0, 0, {}], ["activation_60", 0, 0, {}]]]}, {"name": "conv2d_65", "class_name": "Conv2D", "config": {"name": "conv2d_65", "trainable": true, "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed6", 0, 0, {}]]]}, {"name": "batch_normalization_65", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_65", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_65", 0, 0, {}]]]}, {"name": "activation_65", "class_name": "Activation", "config": {"name": "activation_65", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_65", 0, 0, {}]]]}, {"name": "conv2d_66", "class_name": "Conv2D", "config": {"name": "conv2d_66", "trainable": true, "filters": 192, "kernel_size": [7, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_65", 0, 0, {}]]]}, {"name": "batch_normalization_66", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_66", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_66", 0, 0, {}]]]}, {"name": "activation_66", "class_name": "Activation", "config": {"name": "activation_66", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_66", 0, 0, {}]]]}, {"name": "conv2d_62", "class_name": "Conv2D", "config": {"name": "conv2d_62", "trainable": true, "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed6", 0, 0, {}]]]}, {"name": "conv2d_67", "class_name": "Conv2D", "config": {"name": "conv2d_67", "trainable": true, "filters": 192, "kernel_size": [1, 7], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_66", 0, 0, {}]]]}, {"name": "batch_normalization_62", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_62", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_62", 0, 0, {}]]]}, {"name": "batch_normalization_67", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_67", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_67", 0, 0, {}]]]}, {"name": "activation_62", "class_name": "Activation", "config": {"name": "activation_62", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_62", 0, 0, {}]]]}, {"name": "activation_67", "class_name": "Activation", "config": {"name": "activation_67", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_67", 0, 0, {}]]]}, {"name": "conv2d_63", "class_name": "Conv2D", "config": {"name": "conv2d_63", "trainable": true, "filters": 192, "kernel_size": [1, 7], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_62", 0, 0, {}]]]}, {"name": "conv2d_68", "class_name": "Conv2D", "config": {"name": "conv2d_68", "trainable": true, "filters": 192, "kernel_size": [7, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_67", 0, 0, {}]]]}, {"name": "batch_normalization_63", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_63", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_63", 0, 0, {}]]]}, {"name": "batch_normalization_68", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_68", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_68", 0, 0, {}]]]}, {"name": "activation_63", "class_name": "Activation", "config": {"name": "activation_63", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_63", 0, 0, {}]]]}, {"name": "activation_68", "class_name": "Activation", "config": {"name": "activation_68", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_68", 0, 0, {}]]]}, {"name": "average_pooling2d_7", "class_name": "AveragePooling2D", "config": {"name": "average_pooling2d_7", "trainable": true, "pool_size": [3, 3], "padding": "same", "strides": [1, 1], "data_format": "channels_last"}, "inbound_nodes": [[["mixed6", 0, 0, {}]]]}, {"name": "conv2d_61", "class_name": "Conv2D", "config": {"name": "conv2d_61", "trainable": true, "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed6", 0, 0, {}]]]}, {"name": "conv2d_64", "class_name": "Conv2D", "config": {"name": "conv2d_64", "trainable": true, "filters": 192, "kernel_size": [7, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_63", 0, 0, {}]]]}, {"name": "conv2d_69", "class_name": "Conv2D", "config": {"name": "conv2d_69", "trainable": true, "filters": 192, "kernel_size": [1, 7], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_68", 0, 0, {}]]]}, {"name": "conv2d_70", "class_name": "Conv2D", "config": {"name": "conv2d_70", "trainable": true, "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["average_pooling2d_7", 0, 0, {}]]]}, {"name": "batch_normalization_61", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_61", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_61", 0, 0, {}]]]}, {"name": "batch_normalization_64", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_64", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_64", 0, 0, {}]]]}, {"name": "batch_normalization_69", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_69", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_69", 0, 0, {}]]]}, {"name": "batch_normalization_70", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_70", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_70", 0, 0, {}]]]}, {"name": "activation_61", "class_name": "Activation", "config": {"name": "activation_61", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_61", 0, 0, {}]]]}, {"name": "activation_64", "class_name": "Activation", "config": {"name": "activation_64", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_64", 0, 0, {}]]]}, {"name": "activation_69", "class_name": "Activation", "config": {"name": "activation_69", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_69", 0, 0, {}]]]}, {"name": "activation_70", "class_name": "Activation", "config": {"name": "activation_70", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_70", 0, 0, {}]]]}, {"name": "mixed7", "class_name": "Concatenate", "config": {"name": "mixed7", "trainable": true, "axis": 3}, "inbound_nodes": [[["activation_61", 0, 0, {}], ["activation_64", 0, 0, {}], ["activation_69", 0, 0, {}], ["activation_70", 0, 0, {}]]]}, {"name": "conv2d_73", "class_name": "Conv2D", "config": {"name": "conv2d_73", "trainable": true, "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed7", 0, 0, {}]]]}, {"name": "batch_normalization_73", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_73", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_73", 0, 0, {}]]]}, {"name": "activation_73", "class_name": "Activation", "config": {"name": "activation_73", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_73", 0, 0, {}]]]}, {"name": "conv2d_74", "class_name": "Conv2D", "config": {"name": "conv2d_74", "trainable": true, "filters": 192, "kernel_size": [1, 7], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_73", 0, 0, {}]]]}, {"name": "batch_normalization_74", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_74", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_74", 0, 0, {}]]]}, {"name": "activation_74", "class_name": "Activation", "config": {"name": "activation_74", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_74", 0, 0, {}]]]}, {"name": "conv2d_71", "class_name": "Conv2D", "config": {"name": "conv2d_71", "trainable": true, "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed7", 0, 0, {}]]]}, {"name": "conv2d_75", "class_name": "Conv2D", "config": {"name": "conv2d_75", "trainable": true, "filters": 192, "kernel_size": [7, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_74", 0, 0, {}]]]}, {"name": "batch_normalization_71", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_71", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_71", 0, 0, {}]]]}, {"name": "batch_normalization_75", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_75", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_75", 0, 0, {}]]]}, {"name": "activation_71", "class_name": "Activation", "config": {"name": "activation_71", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_71", 0, 0, {}]]]}, {"name": "activation_75", "class_name": "Activation", "config": {"name": "activation_75", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_75", 0, 0, {}]]]}, {"name": "conv2d_72", "class_name": "Conv2D", "config": {"name": "conv2d_72", "trainable": true, "filters": 320, "kernel_size": [3, 3], "strides": [2, 2], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_71", 0, 0, {}]]]}, {"name": "conv2d_76", "class_name": "Conv2D", "config": {"name": "conv2d_76", "trainable": true, "filters": 192, "kernel_size": [3, 3], "strides": [2, 2], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_75", 0, 0, {}]]]}, {"name": "batch_normalization_72", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_72", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_72", 0, 0, {}]]]}, {"name": "batch_normalization_76", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_76", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_76", 0, 0, {}]]]}, {"name": "activation_72", "class_name": "Activation", "config": {"name": "activation_72", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_72", 0, 0, {}]]]}, {"name": "activation_76", "class_name": "Activation", "config": {"name": "activation_76", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_76", 0, 0, {}]]]}, {"name": "max_pooling2d_4", "class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_4", "trainable": true, "pool_size": [3, 3], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}, "inbound_nodes": [[["mixed7", 0, 0, {}]]]}, {"name": "mixed8", "class_name": "Concatenate", "config": {"name": "mixed8", "trainable": true, "axis": 3}, "inbound_nodes": [[["activation_72", 0, 0, {}], ["activation_76", 0, 0, {}], ["max_pooling2d_4", 0, 0, {}]]]}, {"name": "conv2d_81", "class_name": "Conv2D", "config": {"name": "conv2d_81", "trainable": true, "filters": 448, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed8", 0, 0, {}]]]}, {"name": "batch_normalization_81", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_81", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_81", 0, 0, {}]]]}, {"name": "activation_81", "class_name": "Activation", "config": {"name": "activation_81", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_81", 0, 0, {}]]]}, {"name": "conv2d_78", "class_name": "Conv2D", "config": {"name": "conv2d_78", "trainable": true, "filters": 384, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed8", 0, 0, {}]]]}, {"name": "conv2d_82", "class_name": "Conv2D", "config": {"name": "conv2d_82", "trainable": true, "filters": 384, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_81", 0, 0, {}]]]}, {"name": "batch_normalization_78", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_78", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_78", 0, 0, {}]]]}, {"name": "batch_normalization_82", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_82", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_82", 0, 0, {}]]]}, {"name": "activation_78", "class_name": "Activation", "config": {"name": "activation_78", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_78", 0, 0, {}]]]}, {"name": "activation_82", "class_name": "Activation", "config": {"name": "activation_82", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_82", 0, 0, {}]]]}, {"name": "conv2d_79", "class_name": "Conv2D", "config": {"name": "conv2d_79", "trainable": true, "filters": 384, "kernel_size": [1, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_78", 0, 0, {}]]]}, {"name": "conv2d_80", "class_name": "Conv2D", "config": {"name": "conv2d_80", "trainable": true, "filters": 384, "kernel_size": [3, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_78", 0, 0, {}]]]}, {"name": "conv2d_83", "class_name": "Conv2D", "config": {"name": "conv2d_83", "trainable": true, "filters": 384, "kernel_size": [1, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_82", 0, 0, {}]]]}, {"name": "conv2d_84", "class_name": "Conv2D", "config": {"name": "conv2d_84", "trainable": true, "filters": 384, "kernel_size": [3, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_82", 0, 0, {}]]]}, {"name": "average_pooling2d_8", "class_name": "AveragePooling2D", "config": {"name": "average_pooling2d_8", "trainable": true, "pool_size": [3, 3], "padding": "same", "strides": [1, 1], "data_format": "channels_last"}, "inbound_nodes": [[["mixed8", 0, 0, {}]]]}, {"name": "conv2d_77", "class_name": "Conv2D", "config": {"name": "conv2d_77", "trainable": true, "filters": 320, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed8", 0, 0, {}]]]}, {"name": "batch_normalization_79", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_79", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_79", 0, 0, {}]]]}, {"name": "batch_normalization_80", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_80", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_80", 0, 0, {}]]]}, {"name": "batch_normalization_83", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_83", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_83", 0, 0, {}]]]}, {"name": "batch_normalization_84", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_84", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_84", 0, 0, {}]]]}, {"name": "conv2d_85", "class_name": "Conv2D", "config": {"name": "conv2d_85", "trainable": true, "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["average_pooling2d_8", 0, 0, {}]]]}, {"name": "batch_normalization_77", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_77", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_77", 0, 0, {}]]]}, {"name": "activation_79", "class_name": "Activation", "config": {"name": "activation_79", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_79", 0, 0, {}]]]}, {"name": "activation_80", "class_name": "Activation", "config": {"name": "activation_80", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_80", 0, 0, {}]]]}, {"name": "activation_83", "class_name": "Activation", "config": {"name": "activation_83", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_83", 0, 0, {}]]]}, {"name": "activation_84", "class_name": "Activation", "config": {"name": "activation_84", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_84", 0, 0, {}]]]}, {"name": "batch_normalization_85", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_85", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_85", 0, 0, {}]]]}, {"name": "activation_77", "class_name": "Activation", "config": {"name": "activation_77", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_77", 0, 0, {}]]]}, {"name": "mixed9_0", "class_name": "Concatenate", "config": {"name": "mixed9_0", "trainable": true, "axis": 3}, "inbound_nodes": [[["activation_79", 0, 0, {}], ["activation_80", 0, 0, {}]]]}, {"name": "concatenate_1", "class_name": "Concatenate", "config": {"name": "concatenate_1", "trainable": true, "axis": 3}, "inbound_nodes": [[["activation_83", 0, 0, {}], ["activation_84", 0, 0, {}]]]}, {"name": "activation_85", "class_name": "Activation", "config": {"name": "activation_85", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_85", 0, 0, {}]]]}, {"name": "mixed9", "class_name": "Concatenate", "config": {"name": "mixed9", "trainable": true, "axis": 3}, "inbound_nodes": [[["activation_77", 0, 0, {}], ["mixed9_0", 0, 0, {}], ["concatenate_1", 0, 0, {}], ["activation_85", 0, 0, {}]]]}, {"name": "conv2d_90", "class_name": "Conv2D", "config": {"name": "conv2d_90", "trainable": true, "filters": 448, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed9", 0, 0, {}]]]}, {"name": "batch_normalization_90", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_90", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_90", 0, 0, {}]]]}, {"name": "activation_90", "class_name": "Activation", "config": {"name": "activation_90", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_90", 0, 0, {}]]]}, {"name": "conv2d_87", "class_name": "Conv2D", "config": {"name": "conv2d_87", "trainable": true, "filters": 384, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed9", 0, 0, {}]]]}, {"name": "conv2d_91", "class_name": "Conv2D", "config": {"name": "conv2d_91", "trainable": true, "filters": 384, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_90", 0, 0, {}]]]}, {"name": "batch_normalization_87", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_87", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_87", 0, 0, {}]]]}, {"name": "batch_normalization_91", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_91", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_91", 0, 0, {}]]]}, {"name": "activation_87", "class_name": "Activation", "config": {"name": "activation_87", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_87", 0, 0, {}]]]}, {"name": "activation_91", "class_name": "Activation", "config": {"name": "activation_91", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_91", 0, 0, {}]]]}, {"name": "conv2d_88", "class_name": "Conv2D", "config": {"name": "conv2d_88", "trainable": true, "filters": 384, "kernel_size": [1, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_87", 0, 0, {}]]]}, {"name": "conv2d_89", "class_name": "Conv2D", "config": {"name": "conv2d_89", "trainable": true, "filters": 384, "kernel_size": [3, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_87", 0, 0, {}]]]}, {"name": "conv2d_92", "class_name": "Conv2D", "config": {"name": "conv2d_92", "trainable": true, "filters": 384, "kernel_size": [1, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_91", 0, 0, {}]]]}, {"name": "conv2d_93", "class_name": "Conv2D", "config": {"name": "conv2d_93", "trainable": true, "filters": 384, "kernel_size": [3, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["activation_91", 0, 0, {}]]]}, {"name": "average_pooling2d_9", "class_name": "AveragePooling2D", "config": {"name": "average_pooling2d_9", "trainable": true, "pool_size": [3, 3], "padding": "same", "strides": [1, 1], "data_format": "channels_last"}, "inbound_nodes": [[["mixed9", 0, 0, {}]]]}, {"name": "conv2d_86", "class_name": "Conv2D", "config": {"name": "conv2d_86", "trainable": true, "filters": 320, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["mixed9", 0, 0, {}]]]}, {"name": "batch_normalization_88", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_88", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_88", 0, 0, {}]]]}, {"name": "batch_normalization_89", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_89", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_89", 0, 0, {}]]]}, {"name": "batch_normalization_92", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_92", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_92", 0, 0, {}]]]}, {"name": "batch_normalization_93", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_93", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_93", 0, 0, {}]]]}, {"name": "conv2d_94", "class_name": "Conv2D", "config": {"name": "conv2d_94", "trainable": true, "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["average_pooling2d_9", 0, 0, {}]]]}, {"name": "batch_normalization_86", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_86", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_86", 0, 0, {}]]]}, {"name": "activation_88", "class_name": "Activation", "config": {"name": "activation_88", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_88", 0, 0, {}]]]}, {"name": "activation_89", "class_name": "Activation", "config": {"name": "activation_89", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_89", 0, 0, {}]]]}, {"name": "activation_92", "class_name": "Activation", "config": {"name": "activation_92", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_92", 0, 0, {}]]]}, {"name": "activation_93", "class_name": "Activation", "config": {"name": "activation_93", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_93", 0, 0, {}]]]}, {"name": "batch_normalization_94", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_94", "trainable": true, "axis": 3, "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": false, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv2d_94", 0, 0, {}]]]}, {"name": "activation_86", "class_name": "Activation", "config": {"name": "activation_86", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_86", 0, 0, {}]]]}, {"name": "mixed9_1", "class_name": "Concatenate", "config": {"name": "mixed9_1", "trainable": true, "axis": 3}, "inbound_nodes": [[["activation_88", 0, 0, {}], ["activation_89", 0, 0, {}]]]}, {"name": "concatenate_2", "class_name": "Concatenate", "config": {"name": "concatenate_2", "trainable": true, "axis": 3}, "inbound_nodes": [[["activation_92", 0, 0, {}], ["activation_93", 0, 0, {}]]]}, {"name": "activation_94", "class_name": "Activation", "config": {"name": "activation_94", "trainable": true, "activation": "relu"}, "inbound_nodes": [[["batch_normalization_94", 0, 0, {}]]]}, {"name": "mixed10", "class_name": "Concatenate", "config": {"name": "mixed10", "trainable": true, "axis": 3}, "inbound_nodes": [[["activation_86", 0, 0, {}], ["mixed9_1", 0, 0, {}], ["concatenate_2", 0, 0, {}], ["activation_94", 0, 0, {}]]]}, {"name": "average_pooling2d_10", "class_name": "AveragePooling2D", "config": {"name": "average_pooling2d_10", "trainable": true, "pool_size": [8, 8], "padding": "valid", "strides": [8, 8], "data_format": "channels_last"}, "inbound_nodes": [[["mixed10", 0, 0, {}]]]}, {"name": "flatten_1", "class_name": "Flatten", "config": {"name": "flatten_1", "trainable": true, "data_format": "channels_last"}, "inbound_nodes": [[["average_pooling2d_10", 0, 0, {}]]]}, {"name": "dense_1", "class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "units": 256, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 2.0, "mode": "fan_in", "distribution": "normal", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["flatten_1", 0, 0, {}]]]}, {"name": "dropout_2", "class_name": "Dropout", "config": {"name": "dropout_2", "trainable": true, "rate": 0.5, "noise_shape": null, "seed": null}, "inbound_nodes": [[["dense_1", 0, 0, {}]]]}, {"name": "dense_2", "class_name": "Dense", "config": {"name": "dense_2", "trainable": true, "units": 128, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 2.0, "mode": "fan_in", "distribution": "normal", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["dropout_2", 0, 0, {}]]]}, {"name": "dropout_3", "class_name": "Dropout", "config": {"name": "dropout_3", "trainable": true, "rate": 0.25, "noise_shape": null, "seed": null}, "inbound_nodes": [[["dense_2", 0, 0, {}]]]}, {"name": "dense_3", "class_name": "Dense", "config": {"name": "dense_3", "trainable": true, "units": 5, "activation": "softmax", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["dropout_3", 0, 0, {}]]]}], "input_layers": [["input_1", 0, 0]], "output_layers": [["dense_3", 0, 0]]}}, "training_config": {"optimizer_config": {"class_name": "SGD", "config": {"lr": 8.999999749903509e-07, "momentum": 0.8999999761581421, "decay": 0.0, "nesterov": false}}, "loss": "categorical_crossentropy", "metrics": ["accuracy"], "sample_weight_mode": null, "loss_weights": null}}, "weightsManifest": [{"paths": ["group1-shard1of6", "group1-shard2of6", "group1-shard3of6", "group1-shard4of6", "group1-shard5of6", "group1-shard6of6"], "weights": [{"name": "batch_normalization_1/beta", "shape": [32], "dtype": "float32", "quantization": {"min": -1.4470329237919228, "scale": 0.022262044981414198, "dtype": "uint8"}}, {"name": "batch_normalization_1/moving_mean", "shape": [32], "dtype": "float32", "quantization": {"min": -1.3392340445051008, "scale": 0.009048878679088518, "dtype": "uint8"}}, {"name": "batch_normalization_1/moving_variance", "shape": [32], "dtype": "float32", "quantization": {"min": 0.0029792252462357283, "scale": 0.002011585912174162, "dtype": "uint8"}}, {"name": "batch_normalization_10/beta", "shape": [96], "dtype": "float32", "quantization": {"min": -1.3942089782041662, "scale": 0.013152914888718548, "dtype": "uint8"}}, {"name": "batch_normalization_10/moving_mean", "shape": [96], "dtype": "float32", "quantization": {"min": -3.4377058178770774, "scale": 0.022322765051149853, "dtype": "uint8"}}, {"name": "batch_normalization_10/moving_variance", "shape": [96], "dtype": "float32", "quantization": {"min": 0.32849419116973877, "scale": 0.0067040401346543255, "dtype": "uint8"}}, {"name": "batch_normalization_11/beta", "shape": [96], "dtype": "float32", "quantization": {"min": -1.516452667759914, "scale": 0.019195603389366, "dtype": "uint8"}}, {"name": "batch_normalization_11/moving_mean", "shape": [96], "dtype": "float32", "quantization": {"min": -2.7463201915516575, "scale": 0.01830880127701105, "dtype": "uint8"}}, {"name": "batch_normalization_11/moving_variance", "shape": [96], "dtype": "float32", "quantization": {"min": 0.2191103845834732, "scale": 0.01466470086107067, "dtype": "uint8"}}, {"name": "batch_normalization_12/beta", "shape": [32], "dtype": "float32", "quantization": {"min": -1.301803892734004, "scale": 0.006319436372495165, "dtype": "uint8"}}, {"name": "batch_normalization_12/moving_mean", "shape": [32], "dtype": "float32", "quantization": {"min": -4.4007081592784205, "scale": 0.034114016738592406, "dtype": "uint8"}}, {"name": "batch_normalization_12/moving_variance", "shape": [32], "dtype": "float32", "quantization": {"min": 0.16819331049919128, "scale": 0.005921194716995838, "dtype": "uint8"}}, {"name": "batch_normalization_13/beta", "shape": [64], "dtype": "float32", "quantization": {"min": -0.4739857888689228, "scale": 0.016928063888175814, "dtype": "uint8"}}, {"name": "batch_normalization_13/moving_mean", "shape": [64], "dtype": "float32", "quantization": {"min": -3.5917917167439177, "scale": 0.04128496226142434, "dtype": "uint8"}}, {"name": "batch_normalization_13/moving_variance", "shape": [64], "dtype": "float32", "quantization": {"min": 0.4459476172924042, "scale": 0.023625042976117602, "dtype": "uint8"}}, {"name": "batch_normalization_14/beta", "shape": [48], "dtype": "float32", "quantization": {"min": -1.0772361334632425, "scale": 0.00979305575875675, "dtype": "uint8"}}, {"name": "batch_normalization_14/moving_mean", "shape": [48], "dtype": "float32", "quantization": {"min": -3.953980264476701, "scale": 0.03350830732607374, "dtype": "uint8"}}, {"name": "batch_normalization_14/moving_variance", "shape": [48], "dtype": "float32", "quantization": {"min": 0.24940407276153564, "scale": 0.0058701262754552504, "dtype": "uint8"}}, {"name": "batch_normalization_15/beta", "shape": [64], "dtype": "float32", "quantization": {"min": -1.35126254418317, "scale": 0.01571235516492058, "dtype": "uint8"}}, {"name": "batch_normalization_15/moving_mean", "shape": [64], "dtype": "float32", "quantization": {"min": -4.0795912321876076, "scale": 0.020920980677885167, "dtype": "uint8"}}, {"name": "batch_normalization_15/moving_variance", "shape": [64], "dtype": "float32", "quantization": {"min": 0.49905598163604736, "scale": 0.01223441152011647, "dtype": "uint8"}}, {"name": "batch_normalization_16/beta", "shape": [64], "dtype": "float32", "quantization": {"min": -1.1064918892056335, "scale": 0.01286618475820504, "dtype": "uint8"}}, {"name": "batch_normalization_16/moving_mean", "shape": [64], "dtype": "float32", "quantization": {"min": -3.809274101257324, "scale": 0.03527105649312337, "dtype": "uint8"}}, {"name": "batch_normalization_16/moving_variance", "shape": [64], "dtype": "float32", "quantization": {"min": 0.19940871000289917, "scale": 0.009950414592144536, "dtype": "uint8"}}, {"name": "batch_normalization_17/beta", "shape": [96], "dtype": "float32", "quantization": {"min": -2.0270998253541834, "scale": 0.014376594506058039, "dtype": "uint8"}}, {"name": "batch_normalization_17/moving_mean", "shape": [96], "dtype": "float32", "quantization": {"min": -3.1735796909706266, "scale": 0.018031702789605832, "dtype": "uint8"}}, {"name": "batch_normalization_17/moving_variance", "shape": [96], "dtype": "float32", "quantization": {"min": 0.2549457848072052, "scale": 0.008325207350300807, "dtype": "uint8"}}, {"name": "batch_normalization_18/beta", "shape": [96], "dtype": "float32", "quantization": {"min": -2.1231734135571645, "scale": 0.016458708632226083, "dtype": "uint8"}}, {"name": "batch_normalization_18/moving_mean", "shape": [96], "dtype": "float32", "quantization": {"min": -1.3713552848965516, "scale": 0.009657431583778532, "dtype": "uint8"}}, {"name": "batch_normalization_18/moving_variance", "shape": [96], "dtype": "float32", "quantization": {"min": 0.1513037383556366, "scale": 0.0068373657909094115, "dtype": "uint8"}}, {"name": "batch_normalization_19/beta", "shape": [64], "dtype": "float32", "quantization": {"min": -1.4365768666360892, "scale": 0.006776305974698534, "dtype": "uint8"}}, {"name": "batch_normalization_19/moving_mean", "shape": [64], "dtype": "float32", "quantization": {"min": -2.476449997284833, "scale": 0.015673734160030588, "dtype": "uint8"}}, {"name": "batch_normalization_19/moving_variance", "shape": [64], "dtype": "float32", "quantization": {"min": 0.09515814483165741, "scale": 0.0020481755336125692, "dtype": "uint8"}}, {"name": "batch_normalization_2/beta", "shape": [32], "dtype": "float32", "quantization": {"min": -3.4433995106640984, "scale": 0.02125555253496357, "dtype": "uint8"}}, {"name": "batch_normalization_2/moving_mean", "shape": [32], "dtype": "float32", "quantization": {"min": -5.612242926803289, "scale": 0.04526002360325233, "dtype": "uint8"}}, {"name": "batch_normalization_2/moving_variance", "shape": [32], "dtype": "float32", "quantization": {"min": 1.6788238754359384e-14, "scale": 0.036660007402008594, "dtype": "uint8"}}, {"name": "batch_normalization_20/beta", "shape": [64], "dtype": "float32", "quantization": {"min": -0.8893205343508253, "scale": 0.02021183032615512, "dtype": "uint8"}}, {"name": "batch_normalization_20/moving_mean", "shape": [64], "dtype": "float32", "quantization": {"min": -3.9672318907345043, "scale": 0.026625717387479896, "dtype": "uint8"}}, {"name": "batch_normalization_20/moving_variance", "shape": [64], "dtype": "float32", "quantization": {"min": 0.420120507478714, "scale": 0.012815360345092475, "dtype": "uint8"}}, {"name": "batch_normalization_21/beta", "shape": [48], "dtype": "float32", "quantization": {"min": -0.9888528188069662, "scale": 0.007270976608874751, "dtype": "uint8"}}, {"name": "batch_normalization_21/moving_mean", "shape": [48], "dtype": "float32", "quantization": {"min": -2.3340306749530866, "scale": 0.017954082115023744, "dtype": "uint8"}}, {"name": "batch_normalization_21/moving_variance", "shape": [48], "dtype": "float32", "quantization": {"min": 0.28571629524230957, "scale": 0.0053000637129241345, "dtype": "uint8"}}, {"name": "batch_normalization_22/beta", "shape": [64], "dtype": "float32", "quantization": {"min": -1.415032872031717, "scale": 0.016453870605019964, "dtype": "uint8"}}, {"name": "batch_normalization_22/moving_mean", "shape": [64], "dtype": "float32", "quantization": {"min": -2.3663464188575745, "scale": 0.011214911937713623, "dtype": "uint8"}}, {"name": "batch_normalization_22/moving_variance", "shape": [64], "dtype": "float32", "quantization": {"min": 0.8183495402336121, "scale": 0.01016303815093695, "dtype": "uint8"}}, {"name": "batch_normalization_23/beta", "shape": [64], "dtype": "float32", "quantization": {"min": -0.8289626280466715, "scale": 0.012190626883039287, "dtype": "uint8"}}, {"name": "batch_normalization_23/moving_mean", "shape": [64], "dtype": "float32", "quantization": {"min": -3.606444087682986, "scale": 0.03370508493161669, "dtype": "uint8"}}, {"name": "batch_normalization_23/moving_variance", "shape": [64], "dtype": "float32", "quantization": {"min": 0.28999996185302734, "scale": 0.007630550160127527, "dtype": "uint8"}}, {"name": "batch_normalization_24/beta", "shape": [96], "dtype": "float32", "quantization": {"min": -1.7479860670426313, "scale": 0.011972507308511173, "dtype": "uint8"}}, {"name": "batch_normalization_24/moving_mean", "shape": [96], "dtype": "float32", "quantization": {"min": -1.6063279857822492, "scale": 0.009504899324155321, "dtype": "uint8"}}, {"name": "batch_normalization_24/moving_variance", "shape": [96], "dtype": "float32", "quantization": {"min": 0.24551624059677124, "scale": 0.013059020743650548, "dtype": "uint8"}}, {"name": "batch_normalization_25/beta", "shape": [96], "dtype": "float32", "quantization": {"min": -1.283474132126453, "scale": 0.009368424322090898, "dtype": "uint8"}}, {"name": "batch_normalization_25/moving_mean", "shape": [96], "dtype": "float32", "quantization": {"min": -1.5872352920326533, "scale": 0.007117647049473781, "dtype": "uint8"}}, {"name": "batch_normalization_25/moving_variance", "shape": [96], "dtype": "float32", "quantization": {"min": 0.39823248982429504, "scale": 0.004755370172799802, "dtype": "uint8"}}, {"name": "batch_normalization_26/beta", "shape": [64], "dtype": "float32", "quantization": {"min": -1.5112898941425716, "scale": 0.0061685301801737615, "dtype": "uint8"}}, {"name": "batch_normalization_26/moving_mean", "shape": [64], "dtype": "float32", "quantization": {"min": -2.16122173982508, "scale": 0.01637289196837182, "dtype": "uint8"}}, {"name": "batch_normalization_26/moving_variance", "shape": [64], "dtype": "float32", "quantization": {"min": 0.11441070586442947, "scale": 0.004070372412017747, "dtype": "uint8"}}, {"name": "batch_normalization_27/beta", "shape": [384], "dtype": "float32", "quantization": {"min": -1.3188155637067907, "scale": 0.007579399791418338, "dtype": "uint8"}}, {"name": "batch_normalization_27/moving_mean", "shape": [384], "dtype": "float32", "quantization": {"min": -5.909318789313821, "scale": 0.03517451660305846, "dtype": "uint8"}}, {"name": "batch_normalization_27/moving_variance", "shape": [384], "dtype": "float32", "quantization": {"min": 0.2954988181591034, "scale": 0.006337425404903936, "dtype": "uint8"}}, {"name": "batch_normalization_28/beta", "shape": [64], "dtype": "float32", "quantization": {"min": -1.0164603177238913, "scale": 0.006515771267460842, "dtype": "uint8"}}, {"name": "batch_normalization_28/moving_mean", "shape": [64], "dtype": "float32", "quantization": {"min": -2.281826620943406, "scale": 0.015522630074444939, "dtype": "uint8"}}, {"name": "batch_normalization_28/moving_variance", "shape": [64], "dtype": "float32", "quantization": {"min": 0.1750023365020752, "scale": 0.002921118923262054, "dtype": "uint8"}}, {"name": "batch_normalization_29/beta", "shape": [96], "dtype": "float32", "quantization": {"min": -1.9762367010116577, "scale": 0.005986429195778043, "dtype": "uint8"}}, {"name": "batch_normalization_29/moving_mean", "shape": [96], "dtype": "float32", "quantization": {"min": -1.1413830504697913, "scale": 0.009058595638649136, "dtype": "uint8"}}, {"name": "batch_normalization_29/moving_variance", "shape": [96], "dtype": "float32", "quantization": {"min": 0.20233316719532013, "scale": 0.002113556335954105, "dtype": "uint8"}}, {"name": "batch_normalization_3/beta", "shape": [64], "dtype": "float32", "quantization": {"min": -2.6871745165656593, "scale": 0.02020431967342601, "dtype": "uint8"}}, {"name": "batch_normalization_3/moving_mean", "shape": [64], "dtype": "float32", "quantization": {"min": -5.694581502091651, "scale": 0.028190997535107183, "dtype": "uint8"}}, {"name": "batch_normalization_3/moving_variance", "shape": [64], "dtype": "float32", "quantization": {"min": 0.14262264966964722, "scale": 0.019136658135582418, "dtype": "uint8"}}, {"name": "batch_normalization_30/beta", "shape": [96], "dtype": "float32", "quantization": {"min": -0.6150621568455416, "scale": 0.007410387431873995, "dtype": "uint8"}}, {"name": "batch_normalization_30/moving_mean", "shape": [96], "dtype": "float32", "quantization": {"min": -0.5138443261969323, "scale": 0.003593316966412114, "dtype": "uint8"}}, {"name": "batch_normalization_30/moving_variance", "shape": [96], "dtype": "float32", "quantization": {"min": 0.09833530336618423, "scale": 0.0014371293140392678, "dtype": "uint8"}}, {"name": "batch_normalization_31/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.0016017801621382, "scale": 0.016693363002702303, "dtype": "uint8"}}, {"name": "batch_normalization_31/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -2.9536140198801077, "scale": 0.02786428320641611, "dtype": "uint8"}}, {"name": "batch_normalization_31/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.3321317434310913, "scale": 0.025618675175835104, "dtype": "uint8"}}, {"name": "batch_normalization_32/beta", "shape": [128], "dtype": "float32", "quantization": {"min": -1.482565550593769, "scale": 0.006832099311492023, "dtype": "uint8"}}, {"name": "batch_normalization_32/moving_mean", "shape": [128], "dtype": "float32", "quantization": {"min": -2.2532974004745485, "scale": 0.014727433990029728, "dtype": "uint8"}}, {"name": "batch_normalization_32/moving_variance", "shape": [128], "dtype": "float32", "quantization": {"min": 0.3239896297454834, "scale": 0.0061596725501266185, "dtype": "uint8"}}, {"name": "batch_normalization_33/beta", "shape": [128], "dtype": "float32", "quantization": {"min": -1.2625880390990014, "scale": 0.008306500257230273, "dtype": "uint8"}}, {"name": "batch_normalization_33/moving_mean", "shape": [128], "dtype": "float32", "quantization": {"min": -1.495534519588246, "scale": 0.00826262165518368, "dtype": "uint8"}}, {"name": "batch_normalization_33/moving_variance", "shape": [128], "dtype": "float32", "quantization": {"min": 0.2597413659095764, "scale": 0.003397520149455351, "dtype": "uint8"}}, {"name": "batch_normalization_34/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.500122459262025, "scale": 0.008523423063988778, "dtype": "uint8"}}, {"name": "batch_normalization_34/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -2.1041239532769898, "scale": 0.012233278798122032, "dtype": "uint8"}}, {"name": "batch_normalization_34/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.16395790874958038, "scale": 0.0040355992667815265, "dtype": "uint8"}}, {"name": "batch_normalization_35/beta", "shape": [128], "dtype": "float32", "quantization": {"min": -1.0832286638372086, "scale": 0.012171108582440545, "dtype": "uint8"}}, {"name": "batch_normalization_35/moving_mean", "shape": [128], "dtype": "float32", "quantization": {"min": -2.395103445240095, "scale": 0.023253431507185392, "dtype": "uint8"}}, {"name": "batch_normalization_35/moving_variance", "shape": [128], "dtype": "float32", "quantization": {"min": 0.16777288913726807, "scale": 0.019797573370092057, "dtype": "uint8"}}, {"name": "batch_normalization_36/beta", "shape": [128], "dtype": "float32", "quantization": {"min": -1.8138037962072036, "scale": 0.013143505769617416, "dtype": "uint8"}}, {"name": "batch_normalization_36/moving_mean", "shape": [128], "dtype": "float32", "quantization": {"min": -1.310854683670343, "scale": 0.01057140873927696, "dtype": "uint8"}}, {"name": "batch_normalization_36/moving_variance", "shape": [128], "dtype": "float32", "quantization": {"min": 0.1670084297657013, "scale": 0.006697891623366113, "dtype": "uint8"}}, {"name": "batch_normalization_37/beta", "shape": [128], "dtype": "float32", "quantization": {"min": -1.9430689110475428, "scale": 0.011776175218469956, "dtype": "uint8"}}, {"name": "batch_normalization_37/moving_mean", "shape": [128], "dtype": "float32", "quantization": {"min": -1.7351032495498657, "scale": 0.010206489703234504, "dtype": "uint8"}}, {"name": "batch_normalization_37/moving_variance", "shape": [128], "dtype": "float32", "quantization": {"min": 0.19027358293533325, "scale": 0.005742954974081002, "dtype": "uint8"}}, {"name": "batch_normalization_38/beta", "shape": [128], "dtype": "float32", "quantization": {"min": -1.3741615199575237, "scale": 0.009222560536627676, "dtype": "uint8"}}, {"name": "batch_normalization_38/moving_mean", "shape": [128], "dtype": "float32", "quantization": {"min": -1.8390505080129587, "scale": 0.011941886415668563, "dtype": "uint8"}}, {"name": "batch_normalization_38/moving_variance", "shape": [128], "dtype": "float32", "quantization": {"min": 0.14841628074645996, "scale": 0.004146125737358542, "dtype": "uint8"}}, {"name": "batch_normalization_39/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.787621801039752, "scale": 0.00907422234030331, "dtype": "uint8"}}, {"name": "batch_normalization_39/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -3.0378903204319525, "scale": 0.014397584457023471, "dtype": "uint8"}}, {"name": "batch_normalization_39/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.13926127552986145, "scale": 0.010081140550912596, "dtype": "uint8"}}, {"name": "batch_normalization_4/beta", "shape": [80], "dtype": "float32", "quantization": {"min": -1.619629228816313, "scale": 0.021595056384217506, "dtype": "uint8"}}, {"name": "batch_normalization_4/moving_mean", "shape": [80], "dtype": "float32", "quantization": {"min": -7.642285971548042, "scale": 0.048676980710497086, "dtype": "uint8"}}, {"name": "batch_normalization_4/moving_variance", "shape": [80], "dtype": "float32", "quantization": {"min": 0.1652865707874298, "scale": 0.027933618017271452, "dtype": "uint8"}}, {"name": "batch_normalization_40/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.2992442846298218, "scale": 0.00419156878602271, "dtype": "uint8"}}, {"name": "batch_normalization_40/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -2.384939792109471, "scale": 0.017035284229353364, "dtype": "uint8"}}, {"name": "batch_normalization_40/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.06725674867630005, "scale": 0.002992297387590595, "dtype": "uint8"}}, {"name": "batch_normalization_41/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -0.8896247265385646, "scale": 0.013900386352165072, "dtype": "uint8"}}, {"name": "batch_normalization_41/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -1.1002823920810925, "scale": 0.007588154428145465, "dtype": "uint8"}}, {"name": "batch_normalization_41/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.22883667051792145, "scale": 0.0062419147468080706, "dtype": "uint8"}}, {"name": "batch_normalization_42/beta", "shape": [160], "dtype": "float32", "quantization": {"min": -1.4175063925630906, "scale": 0.00800851069244684, "dtype": "uint8"}}, {"name": "batch_normalization_42/moving_mean", "shape": [160], "dtype": "float32", "quantization": {"min": -1.06603368918101, "scale": 0.006922296682993571, "dtype": "uint8"}}, {"name": "batch_normalization_42/moving_variance", "shape": [160], "dtype": "float32", "quantization": {"min": 0.16725388169288635, "scale": 0.007173216927285288, "dtype": "uint8"}}, {"name": "batch_normalization_43/beta", "shape": [160], "dtype": "float32", "quantization": {"min": -1.2026210822311103, "scale": 0.006756298214781518, "dtype": "uint8"}}, {"name": "batch_normalization_43/moving_mean", "shape": [160], "dtype": "float32", "quantization": {"min": -1.1263628791360294, "scale": 0.00879970999325023, "dtype": "uint8"}}, {"name": "batch_normalization_43/moving_variance", "shape": [160], "dtype": "float32", "quantization": {"min": 0.1858157068490982, "scale": 0.0035367338680753523, "dtype": "uint8"}}, {"name": "batch_normalization_44/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.6851831992467243, "scale": 0.007625263345007803, "dtype": "uint8"}}, {"name": "batch_normalization_44/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -1.3855730304531024, "scale": 0.009968151298223758, "dtype": "uint8"}}, {"name": "batch_normalization_44/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.23984774947166443, "scale": 0.004611740509668986, "dtype": "uint8"}}, {"name": "batch_normalization_45/beta", "shape": [160], "dtype": "float32", "quantization": {"min": -1.198061533535228, "scale": 0.009740337671018114, "dtype": "uint8"}}, {"name": "batch_normalization_45/moving_mean", "shape": [160], "dtype": "float32", "quantization": {"min": -1.954274336496989, "scale": 0.022991462782317517, "dtype": "uint8"}}, {"name": "batch_normalization_45/moving_variance", "shape": [160], "dtype": "float32", "quantization": {"min": 0.12165232747793198, "scale": 0.004625043360625997, "dtype": "uint8"}}, {"name": "batch_normalization_46/beta", "shape": [160], "dtype": "float32", "quantization": {"min": -1.2301660285276526, "scale": 0.01079093007480397, "dtype": "uint8"}}, {"name": "batch_normalization_46/moving_mean", "shape": [160], "dtype": "float32", "quantization": {"min": -1.2148393953547758, "scale": 0.008098929302365172, "dtype": "uint8"}}, {"name": "batch_normalization_46/moving_variance", "shape": [160], "dtype": "float32", "quantization": {"min": 0.0945582166314125, "scale": 0.009077410692093418, "dtype": "uint8"}}, {"name": "batch_normalization_47/beta", "shape": [160], "dtype": "float32", "quantization": {"min": -1.4696354982899684, "scale": 0.009481519343806248, "dtype": "uint8"}}, {"name": "batch_normalization_47/moving_mean", "shape": [160], "dtype": "float32", "quantization": {"min": -1.1994350405300365, "scale": 0.007014240003099629, "dtype": "uint8"}}, {"name": "batch_normalization_47/moving_variance", "shape": [160], "dtype": "float32", "quantization": {"min": 0.11140790581703186, "scale": 0.005514528120265288, "dtype": "uint8"}}, {"name": "batch_normalization_48/beta", "shape": [160], "dtype": "float32", "quantization": {"min": -1.5309041387894575, "scale": 0.010206027591929717, "dtype": "uint8"}}, {"name": "batch_normalization_48/moving_mean", "shape": [160], "dtype": "float32", "quantization": {"min": -1.9451826843560909, "scale": 0.012311282812380323, "dtype": "uint8"}}, {"name": "batch_normalization_48/moving_variance", "shape": [160], "dtype": "float32", "quantization": {"min": 0.10514998435974121, "scale": 0.005894911055471383, "dtype": "uint8"}}, {"name": "batch_normalization_49/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -2.14061705271403, "scale": 0.010442034403483073, "dtype": "uint8"}}, {"name": "batch_normalization_49/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -2.2268771409988406, "scale": 0.014554752555547976, "dtype": "uint8"}}, {"name": "batch_normalization_49/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.11649957299232483, "scale": 0.012523744971144434, "dtype": "uint8"}}, {"name": "batch_normalization_5/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.2072101817411534, "scale": 0.01676680807973824, "dtype": "uint8"}}, {"name": "batch_normalization_5/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -12.276217052983302, "scale": 0.11804054858637791, "dtype": "uint8"}}, {"name": "batch_normalization_5/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.5460559725761414, "scale": 0.024879303399254295, "dtype": "uint8"}}, {"name": "batch_normalization_50/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.4464423656463623, "scale": 0.00563175964954437, "dtype": "uint8"}}, {"name": "batch_normalization_50/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -0.8957669398363899, "scale": 0.0060524793232188505, "dtype": "uint8"}}, {"name": "batch_normalization_50/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.07341840118169785, "scale": 0.0036757070936408696, "dtype": "uint8"}}, {"name": "batch_normalization_51/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.0999449000639074, "scale": 0.008942641463934206, "dtype": "uint8"}}, {"name": "batch_normalization_51/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -2.029522571142982, "scale": 0.011090287274005366, "dtype": "uint8"}}, {"name": "batch_normalization_51/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.3355939984321594, "scale": 0.006160175800323487, "dtype": "uint8"}}, {"name": "batch_normalization_52/beta", "shape": [160], "dtype": "float32", "quantization": {"min": -1.524581991223728, "scale": 0.007699909046584485, "dtype": "uint8"}}, {"name": "batch_normalization_52/moving_mean", "shape": [160], "dtype": "float32", "quantization": {"min": -2.118796606624828, "scale": 0.013582029529646331, "dtype": "uint8"}}, {"name": "batch_normalization_52/moving_variance", "shape": [160], "dtype": "float32", "quantization": {"min": 0.23068301379680634, "scale": 0.006010897311509824, "dtype": "uint8"}}, {"name": "batch_normalization_53/beta", "shape": [160], "dtype": "float32", "quantization": {"min": -1.376077589334226, "scale": 0.007954205718694948, "dtype": "uint8"}}, {"name": "batch_normalization_53/moving_mean", "shape": [160], "dtype": "float32", "quantization": {"min": -1.1059657826143152, "scale": 0.006912286141339471, "dtype": "uint8"}}, {"name": "batch_normalization_53/moving_variance", "shape": [160], "dtype": "float32", "quantization": {"min": 0.23038174211978912, "scale": 0.0036060267219356463, "dtype": "uint8"}}, {"name": "batch_normalization_54/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.395288348197937, "scale": 0.005394561647200117, "dtype": "uint8"}}, {"name": "batch_normalization_54/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -1.3039465614393644, "scale": 0.009118507422652898, "dtype": "uint8"}}, {"name": "batch_normalization_54/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.21060386300086975, "scale": 0.0029812921495998607, "dtype": "uint8"}}, {"name": "batch_normalization_55/beta", "shape": [160], "dtype": "float32", "quantization": {"min": -1.5728507976905972, "scale": 0.007748033486160578, "dtype": "uint8"}}, {"name": "batch_normalization_55/moving_mean", "shape": [160], "dtype": "float32", "quantization": {"min": -1.1225942415349623, "scale": 0.00870228094213149, "dtype": "uint8"}}, {"name": "batch_normalization_55/moving_variance", "shape": [160], "dtype": "float32", "quantization": {"min": 0.149143785238266, "scale": 0.0036947704997717166, "dtype": "uint8"}}, {"name": "batch_normalization_56/beta", "shape": [160], "dtype": "float32", "quantization": {"min": -1.4110212517719645, "scale": 0.007882800289228852, "dtype": "uint8"}}, {"name": "batch_normalization_56/moving_mean", "shape": [160], "dtype": "float32", "quantization": {"min": -1.3976049315695669, "scale": 0.010508307756162157, "dtype": "uint8"}}, {"name": "batch_normalization_56/moving_variance", "shape": [160], "dtype": "float32", "quantization": {"min": 0.16969893872737885, "scale": 0.005670124467681436, "dtype": "uint8"}}, {"name": "batch_normalization_57/beta", "shape": [160], "dtype": "float32", "quantization": {"min": -2.037970177566304, "scale": 0.008938465691080281, "dtype": "uint8"}}, {"name": "batch_normalization_57/moving_mean", "shape": [160], "dtype": "float32", "quantization": {"min": -2.0804866949717207, "scale": 0.012238157029245415, "dtype": "uint8"}}, {"name": "batch_normalization_57/moving_variance", "shape": [160], "dtype": "float32", "quantization": {"min": 0.3031127452850342, "scale": 0.009343819524727615, "dtype": "uint8"}}, {"name": "batch_normalization_58/beta", "shape": [160], "dtype": "float32", "quantization": {"min": -1.1626297235488892, "scale": 0.008018136024475098, "dtype": "uint8"}}, {"name": "batch_normalization_58/moving_mean", "shape": [160], "dtype": "float32", "quantization": {"min": -1.1574389139811199, "scale": 0.00890337626139323, "dtype": "uint8"}}, {"name": "batch_normalization_58/moving_variance", "shape": [160], "dtype": "float32", "quantization": {"min": 0.20891253650188446, "scale": 0.008950928437943552, "dtype": "uint8"}}, {"name": "batch_normalization_59/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.5612965036841, "scale": 0.008578552218044506, "dtype": "uint8"}}, {"name": "batch_normalization_59/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -2.9308635936063876, "scale": 0.01526491455003327, "dtype": "uint8"}}, {"name": "batch_normalization_59/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.35770270228385925, "scale": 0.015598084061753515, "dtype": "uint8"}}, {"name": "batch_normalization_6/beta", "shape": [64], "dtype": "float32", "quantization": {"min": -0.4988247050958522, "scale": 0.018474989077624154, "dtype": "uint8"}}, {"name": "batch_normalization_6/moving_mean", "shape": [64], "dtype": "float32", "quantization": {"min": -4.639463159149768, "scale": 0.0473414608076507, "dtype": "uint8"}}, {"name": "batch_normalization_6/moving_variance", "shape": [64], "dtype": "float32", "quantization": {"min": 0.5386254787445068, "scale": 0.025258790745454677, "dtype": "uint8"}}, {"name": "batch_normalization_60/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.5135674476623535, "scale": 0.0047089920324437755, "dtype": "uint8"}}, {"name": "batch_normalization_60/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -1.219797550346337, "scale": 0.006386374609143126, "dtype": "uint8"}}, {"name": "batch_normalization_60/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.13531571626663208, "scale": 0.002973755434447644, "dtype": "uint8"}}, {"name": "batch_normalization_61/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.5758512195418863, "scale": 0.006677335676024942, "dtype": "uint8"}}, {"name": "batch_normalization_61/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -1.3910136437883565, "scale": 0.008040541293574314, "dtype": "uint8"}}, {"name": "batch_normalization_61/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.27678921818733215, "scale": 0.005867989741119684, "dtype": "uint8"}}, {"name": "batch_normalization_62/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.7731781005859375, "scale": 0.005797953932893042, "dtype": "uint8"}}, {"name": "batch_normalization_62/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -1.1186937569403181, "scale": 0.006180628491382973, "dtype": "uint8"}}, {"name": "batch_normalization_62/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.2029876708984375, "scale": 0.003584029627781288, "dtype": "uint8"}}, {"name": "batch_normalization_63/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.1662906955270207, "scale": 0.007199325281030991, "dtype": "uint8"}}, {"name": "batch_normalization_63/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -0.5863659428615197, "scale": 0.005235410204120711, "dtype": "uint8"}}, {"name": "batch_normalization_63/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.09435708075761795, "scale": 0.0028266684389581867, "dtype": "uint8"}}, {"name": "batch_normalization_64/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -2.0544645720837162, "scale": 0.018343433679318896, "dtype": "uint8"}}, {"name": "batch_normalization_64/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -2.3606223686068666, "scale": 0.011803111843034333, "dtype": "uint8"}}, {"name": "batch_normalization_64/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.24856248497962952, "scale": 0.017925596587798173, "dtype": "uint8"}}, {"name": "batch_normalization_65/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.5397444839571037, "scale": 0.007474487786199533, "dtype": "uint8"}}, {"name": "batch_normalization_65/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -1.0257711017833036, "scale": 0.007770993195328058, "dtype": "uint8"}}, {"name": "batch_normalization_65/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.18295010924339294, "scale": 0.002770194937201107, "dtype": "uint8"}}, {"name": "batch_normalization_66/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.5399934053421023, "scale": 0.009058784737306484, "dtype": "uint8"}}, {"name": "batch_normalization_66/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -1.2256995402130426, "scale": 0.007959087923461316, "dtype": "uint8"}}, {"name": "batch_normalization_66/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.2300872653722763, "scale": 0.004644319648836173, "dtype": "uint8"}}, {"name": "batch_normalization_67/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.5030710697174072, "scale": 0.005584524601113562, "dtype": "uint8"}}, {"name": "batch_normalization_67/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -1.4341935107520982, "scale": 0.0067971256433748736, "dtype": "uint8"}}, {"name": "batch_normalization_67/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.13089387118816376, "scale": 0.0026349552121816898, "dtype": "uint8"}}, {"name": "batch_normalization_68/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.1063206609557656, "scale": 0.005853548470665427, "dtype": "uint8"}}, {"name": "batch_normalization_68/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -1.067355478511137, "scale": 0.010165290271534639, "dtype": "uint8"}}, {"name": "batch_normalization_68/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.15702544152736664, "scale": 0.0025017112493515015, "dtype": "uint8"}}, {"name": "batch_normalization_69/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -2.2159725623972277, "scale": 0.012958903873667998, "dtype": "uint8"}}, {"name": "batch_normalization_69/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -2.008986711502075, "scale": 0.006804025056315404, "dtype": "uint8"}}, {"name": "batch_normalization_69/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.3119298219680786, "scale": 0.012169442924798704, "dtype": "uint8"}}, {"name": "batch_normalization_7/beta", "shape": [48], "dtype": "float32", "quantization": {"min": -0.6259138478952295, "scale": 0.009629443813772762, "dtype": "uint8"}}, {"name": "batch_normalization_7/moving_mean", "shape": [48], "dtype": "float32", "quantization": {"min": -2.1740409458384793, "scale": 0.019945329778334672, "dtype": "uint8"}}, {"name": "batch_normalization_7/moving_variance", "shape": [48], "dtype": "float32", "quantization": {"min": 0.3680301010608673, "scale": 0.014270223238888909, "dtype": "uint8"}}, {"name": "batch_normalization_70/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.865909457206726, "scale": 0.004504433332705031, "dtype": "uint8"}}, {"name": "batch_normalization_70/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -1.1317527546602135, "scale": 0.0050524676547330965, "dtype": "uint8"}}, {"name": "batch_normalization_70/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.11138727515935898, "scale": 0.0026711427990128013, "dtype": "uint8"}}, {"name": "batch_normalization_71/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.6039793491363525, "scale": 0.005784372196478003, "dtype": "uint8"}}, {"name": "batch_normalization_71/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -0.47732780867931884, "scale": 0.004920905244116689, "dtype": "uint8"}}, {"name": "batch_normalization_71/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.037272851914167404, "scale": 0.0005219906714617037, "dtype": "uint8"}}, {"name": "batch_normalization_72/beta", "shape": [320], "dtype": "float32", "quantization": {"min": -1.540266954197603, "scale": 0.009223155414356905, "dtype": "uint8"}}, {"name": "batch_normalization_72/moving_mean", "shape": [320], "dtype": "float32", "quantization": {"min": -2.0190852207296035, "scale": 0.010461581454557532, "dtype": "uint8"}}, {"name": "batch_normalization_72/moving_variance", "shape": [320], "dtype": "float32", "quantization": {"min": 0.06347450613975525, "scale": 0.003608025172177483, "dtype": "uint8"}}, {"name": "batch_normalization_73/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -0.985390640707577, "scale": 0.012633213342404833, "dtype": "uint8"}}, {"name": "batch_normalization_73/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -0.9022618592954149, "scale": 0.010491416968551336, "dtype": "uint8"}}, {"name": "batch_normalization_73/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.03170640394091606, "scale": 0.0026475690889592265, "dtype": "uint8"}}, {"name": "batch_normalization_74/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.0769996951608096, "scale": 0.015608691234214633, "dtype": "uint8"}}, {"name": "batch_normalization_74/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -1.7473176166123034, "scale": 0.012570630335340312, "dtype": "uint8"}}, {"name": "batch_normalization_74/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.13737867772579193, "scale": 0.006850161330372679, "dtype": "uint8"}}, {"name": "batch_normalization_75/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.4387849751640769, "scale": 0.007653111570021685, "dtype": "uint8"}}, {"name": "batch_normalization_75/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -2.253594519110287, "scale": 0.017469724954343308, "dtype": "uint8"}}, {"name": "batch_normalization_75/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.17224669456481934, "scale": 0.014315306906606637, "dtype": "uint8"}}, {"name": "batch_normalization_76/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.6436317995482799, "scale": 0.012265908951852835, "dtype": "uint8"}}, {"name": "batch_normalization_76/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -1.6223250557394588, "scale": 0.009012916976330327, "dtype": "uint8"}}, {"name": "batch_normalization_76/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.10091816633939743, "scale": 0.024782416896492826, "dtype": "uint8"}}, {"name": "batch_normalization_77/beta", "shape": [320], "dtype": "float32", "quantization": {"min": -1.6236799055454778, "scale": 0.008776648138083664, "dtype": "uint8"}}, {"name": "batch_normalization_77/moving_mean", "shape": [320], "dtype": "float32", "quantization": {"min": -2.9638912789961873, "scale": 0.017033857925265444, "dtype": "uint8"}}, {"name": "batch_normalization_77/moving_variance", "shape": [320], "dtype": "float32", "quantization": {"min": 0.11361116915941238, "scale": 0.023207617945530834, "dtype": "uint8"}}, {"name": "batch_normalization_78/beta", "shape": [384], "dtype": "float32", "quantization": {"min": -1.4153826966005212, "scale": 0.008277091792985504, "dtype": "uint8"}}, {"name": "batch_normalization_78/moving_mean", "shape": [384], "dtype": "float32", "quantization": {"min": -0.9769486890119664, "scale": 0.00707933832617367, "dtype": "uint8"}}, {"name": "batch_normalization_78/moving_variance", "shape": [384], "dtype": "float32", "quantization": {"min": 0.19088256359100342, "scale": 0.0073945882273655315, "dtype": "uint8"}}, {"name": "batch_normalization_79/beta", "shape": [384], "dtype": "float32", "quantization": {"min": -2.0473411083221436, "scale": 0.004208615013197356, "dtype": "uint8"}}, {"name": "batch_normalization_79/moving_mean", "shape": [384], "dtype": "float32", "quantization": {"min": -0.7610570852663003, "scale": 0.0033089438489839144, "dtype": "uint8"}}, {"name": "batch_normalization_79/moving_variance", "shape": [384], "dtype": "float32", "quantization": {"min": 0.05480360612273216, "scale": 0.001661744786828172, "dtype": "uint8"}}, {"name": "batch_normalization_8/beta", "shape": [64], "dtype": "float32", "quantization": {"min": -1.2169222845750698, "scale": 0.021349513764474908, "dtype": "uint8"}}, {"name": "batch_normalization_8/moving_mean", "shape": [64], "dtype": "float32", "quantization": {"min": -7.352502991171444, "scale": 0.03551933812160118, "dtype": "uint8"}}, {"name": "batch_normalization_8/moving_variance", "shape": [64], "dtype": "float32", "quantization": {"min": 1.2515424489974976, "scale": 0.03510500449760287, "dtype": "uint8"}}, {"name": "batch_normalization_80/beta", "shape": [384], "dtype": "float32", "quantization": {"min": -1.7098569869995117, "scale": 0.003118572515599868, "dtype": "uint8"}}, {"name": "batch_normalization_80/moving_mean", "shape": [384], "dtype": "float32", "quantization": {"min": -0.7364731842980665, "scale": 0.003425456671153798, "dtype": "uint8"}}, {"name": "batch_normalization_80/moving_variance", "shape": [384], "dtype": "float32", "quantization": {"min": 0.06618082523345947, "scale": 0.0018710627275354721, "dtype": "uint8"}}, {"name": "batch_normalization_81/beta", "shape": [448], "dtype": "float32", "quantization": {"min": -1.869015963054171, "scale": 0.008693097502577539, "dtype": "uint8"}}, {"name": "batch_normalization_81/moving_mean", "shape": [448], "dtype": "float32", "quantization": {"min": -1.1766659362643372, "scale": 0.008286379832847445, "dtype": "uint8"}}, {"name": "batch_normalization_81/moving_variance", "shape": [448], "dtype": "float32", "quantization": {"min": 0.14993160963058472, "scale": 0.004515989387736601, "dtype": "uint8"}}, {"name": "batch_normalization_82/beta", "shape": [384], "dtype": "float32", "quantization": {"min": -1.3327109813690183, "scale": 0.008710529289993585, "dtype": "uint8"}}, {"name": "batch_normalization_82/moving_mean", "shape": [384], "dtype": "float32", "quantization": {"min": -1.1086185679716223, "scale": 0.008940472322351792, "dtype": "uint8"}}, {"name": "batch_normalization_82/moving_variance", "shape": [384], "dtype": "float32", "quantization": {"min": 0.21444351971149445, "scale": 0.011961153149604798, "dtype": "uint8"}}, {"name": "batch_normalization_83/beta", "shape": [384], "dtype": "float32", "quantization": {"min": -1.818679837619557, "scale": 0.015412540996775907, "dtype": "uint8"}}, {"name": "batch_normalization_83/moving_mean", "shape": [384], "dtype": "float32", "quantization": {"min": -2.0038957876317642, "scale": 0.012845485818152334, "dtype": "uint8"}}, {"name": "batch_normalization_83/moving_variance", "shape": [384], "dtype": "float32", "quantization": {"min": 0.07089755684137344, "scale": 0.02103717663124496, "dtype": "uint8"}}, {"name": "batch_normalization_84/beta", "shape": [384], "dtype": "float32", "quantization": {"min": -1.7786205541853812, "scale": 0.008158809881584317, "dtype": "uint8"}}, {"name": "batch_normalization_84/moving_mean", "shape": [384], "dtype": "float32", "quantization": {"min": -1.3955397058935726, "scale": 0.01722888525794534, "dtype": "uint8"}}, {"name": "batch_normalization_84/moving_variance", "shape": [384], "dtype": "float32", "quantization": {"min": 0.07342959940433502, "scale": 0.011137770613034566, "dtype": "uint8"}}, {"name": "batch_normalization_85/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -1.178499460220337, "scale": 0.0028658638982211842, "dtype": "uint8"}}, {"name": "batch_normalization_85/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -1.690884064693077, "scale": 0.010186048582488415, "dtype": "uint8"}}, {"name": "batch_normalization_85/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.14086772501468658, "scale": 0.00910748775098838, "dtype": "uint8"}}, {"name": "batch_normalization_86/beta", "shape": [320], "dtype": "float32", "quantization": {"min": -0.5220519305736411, "scale": 0.0020882077222945643, "dtype": "uint8"}}, {"name": "batch_normalization_86/moving_mean", "shape": [320], "dtype": "float32", "quantization": {"min": -0.5231765800831365, "scale": 0.0036081143454009413, "dtype": "uint8"}}, {"name": "batch_normalization_86/moving_variance", "shape": [320], "dtype": "float32", "quantization": {"min": 0.11893065273761749, "scale": 0.005666278098143783, "dtype": "uint8"}}, {"name": "batch_normalization_87/beta", "shape": [384], "dtype": "float32", "quantization": {"min": -1.984124174889396, "scale": 0.008818329666175094, "dtype": "uint8"}}, {"name": "batch_normalization_87/moving_mean", "shape": [384], "dtype": "float32", "quantization": {"min": -0.5652224242687225, "scale": 0.0036942642109066832, "dtype": "uint8"}}, {"name": "batch_normalization_87/moving_variance", "shape": [384], "dtype": "float32", "quantization": {"min": 0.06085425242781639, "scale": 0.03796012239421115, "dtype": "uint8"}}, {"name": "batch_normalization_88/beta", "shape": [384], "dtype": "float32", "quantization": {"min": -0.3602467477321625, "scale": 0.001247984813708885, "dtype": "uint8"}}, {"name": "batch_normalization_88/moving_mean", "shape": [384], "dtype": "float32", "quantization": {"min": -0.0991711297455956, "scale": 0.0008549235322896172, "dtype": "uint8"}}, {"name": "batch_normalization_88/moving_variance", "shape": [384], "dtype": "float32", "quantization": {"min": 0.021573534235358238, "scale": 0.0022643732454846886, "dtype": "uint8"}}, {"name": "batch_normalization_89/beta", "shape": [384], "dtype": "float32", "quantization": {"min": -0.29050213098526, "scale": 0.0009703184897993125, "dtype": "uint8"}}, {"name": "batch_normalization_89/moving_mean", "shape": [384], "dtype": "float32", "quantization": {"min": -0.12789016552999907, "scale": 0.0010231213242399926, "dtype": "uint8"}}, {"name": "batch_normalization_89/moving_variance", "shape": [384], "dtype": "float32", "quantization": {"min": 0.01962556503713131, "scale": 0.002291068997161061, "dtype": "uint8"}}, {"name": "batch_normalization_9/beta", "shape": [64], "dtype": "float32", "quantization": {"min": -1.2553448396570541, "scale": 0.017435344995236864, "dtype": "uint8"}}, {"name": "batch_normalization_9/moving_mean", "shape": [64], "dtype": "float32", "quantization": {"min": -9.159099926668056, "scale": 0.05174632726931105, "dtype": "uint8"}}, {"name": "batch_normalization_9/moving_variance", "shape": [64], "dtype": "float32", "quantization": {"min": 0.36967048048973083, "scale": 0.022706968293470495, "dtype": "uint8"}}, {"name": "batch_normalization_90/beta", "shape": [448], "dtype": "float32", "quantization": {"min": -1.9150965461543963, "scale": 0.008825329705780628, "dtype": "uint8"}}, {"name": "batch_normalization_90/moving_mean", "shape": [448], "dtype": "float32", "quantization": {"min": -1.0748392633363313, "scale": 0.011080817147797229, "dtype": "uint8"}}, {"name": "batch_normalization_90/moving_variance", "shape": [448], "dtype": "float32", "quantization": {"min": 0.058019232004880905, "scale": 0.03696253692694739, "dtype": "uint8"}}, {"name": "batch_normalization_91/beta", "shape": [384], "dtype": "float32", "quantization": {"min": -1.4989316603716683, "scale": 0.016117544735179228, "dtype": "uint8"}}, {"name": "batch_normalization_91/moving_mean", "shape": [384], "dtype": "float32", "quantization": {"min": -1.0672029087356492, "scale": 0.0048954261868607764, "dtype": "uint8"}}, {"name": "batch_normalization_91/moving_variance", "shape": [384], "dtype": "float32", "quantization": {"min": 0.04761062562465668, "scale": 0.02329025134152057, "dtype": "uint8"}}, {"name": "batch_normalization_92/beta", "shape": [384], "dtype": "float32", "quantization": {"min": -0.4021552567680677, "scale": 0.0018197070441994014, "dtype": "uint8"}}, {"name": "batch_normalization_92/moving_mean", "shape": [384], "dtype": "float32", "quantization": {"min": -0.2961117188135783, "scale": 0.0027935067812601727, "dtype": "uint8"}}, {"name": "batch_normalization_92/moving_variance", "shape": [384], "dtype": "float32", "quantization": {"min": 0.3863965570926666, "scale": 0.02258765405299617, "dtype": "uint8"}}, {"name": "batch_normalization_93/beta", "shape": [384], "dtype": "float32", "quantization": {"min": -0.4592238664627075, "scale": 0.0011769139883564968, "dtype": "uint8"}}, {"name": "batch_normalization_93/moving_mean", "shape": [384], "dtype": "float32", "quantization": {"min": -0.29778090224546544, "scale": 0.0027572305763469023, "dtype": "uint8"}}, {"name": "batch_normalization_93/moving_variance", "shape": [384], "dtype": "float32", "quantization": {"min": 0.3583631217479706, "scale": 0.01633430754437166, "dtype": "uint8"}}, {"name": "batch_normalization_94/beta", "shape": [192], "dtype": "float32", "quantization": {"min": -0.314007496249442, "scale": 0.0017640870575811349, "dtype": "uint8"}}, {"name": "batch_normalization_94/moving_mean", "shape": [192], "dtype": "float32", "quantization": {"min": -0.7145729660987854, "scale": 0.004203370388816385, "dtype": "uint8"}}, {"name": "batch_normalization_94/moving_variance", "shape": [192], "dtype": "float32", "quantization": {"min": 0.11457707732915878, "scale": 0.008541139814199185, "dtype": "uint8"}}, {"name": "conv2d_1/kernel", "shape": [3, 3, 3, 32], "dtype": "float32", "quantization": {"min": -0.7515598654747009, "scale": 0.006423588593800863, "dtype": "uint8"}}, {"name": "conv2d_10/kernel", "shape": [3, 3, 64, 96], "dtype": "float32", "quantization": {"min": -0.5314577747793758, "scale": 0.004088136729072122, "dtype": "uint8"}}, {"name": "conv2d_11/kernel", "shape": [3, 3, 96, 96], "dtype": "float32", "quantization": {"min": -0.297173446299983, "scale": 0.0027015767845453, "dtype": "uint8"}}, {"name": "conv2d_12/kernel", "shape": [1, 1, 192, 32], "dtype": "float32", "quantization": {"min": -0.6043872510685641, "scale": 0.003874277250439513, "dtype": "uint8"}}, {"name": "conv2d_13/kernel", "shape": [1, 1, 256, 64], "dtype": "float32", "quantization": {"min": -0.6367825031280518, "scale": 0.005489504337310791, "dtype": "uint8"}}, {"name": "conv2d_14/kernel", "shape": [1, 1, 256, 48], "dtype": "float32", "quantization": {"min": -0.6980268389570946, "scale": 0.004256261213153016, "dtype": "uint8"}}, {"name": "conv2d_15/kernel", "shape": [5, 5, 48, 64], "dtype": "float32", "quantization": {"min": -0.37809036514338323, "scale": 0.0034062195057962454, "dtype": "uint8"}}, {"name": "conv2d_16/kernel", "shape": [1, 1, 256, 64], "dtype": "float32", "quantization": {"min": -0.38000125464271095, "scale": 0.002945746160021015, "dtype": "uint8"}}, {"name": "conv2d_17/kernel", "shape": [3, 3, 64, 96], "dtype": "float32", "quantization": {"min": -0.36159335772196455, "scale": 0.002658774689132092, "dtype": "uint8"}}, {"name": "conv2d_18/kernel", "shape": [3, 3, 96, 96], "dtype": "float32", "quantization": {"min": -0.322937131395527, "scale": 0.0025229463390275546, "dtype": "uint8"}}, {"name": "conv2d_19/kernel", "shape": [1, 1, 256, 64], "dtype": "float32", "quantization": {"min": -0.49620920665123885, "scale": 0.0037308962906108184, "dtype": "uint8"}}, {"name": "conv2d_2/kernel", "shape": [3, 3, 32, 32], "dtype": "float32", "quantization": {"min": -0.9963670036372017, "scale": 0.00784540947745828, "dtype": "uint8"}}, {"name": "conv2d_20/kernel", "shape": [1, 1, 288, 64], "dtype": "float32", "quantization": {"min": -0.9467216884388643, "scale": 0.005954224455590342, "dtype": "uint8"}}, {"name": "conv2d_21/kernel", "shape": [1, 1, 288, 48], "dtype": "float32", "quantization": {"min": -0.36753161491132247, "scale": 0.0028939497237112006, "dtype": "uint8"}}, {"name": "conv2d_22/kernel", "shape": [5, 5, 48, 64], "dtype": "float32", "quantization": {"min": -0.28142107234281655, "scale": 0.0023451756028568045, "dtype": "uint8"}}, {"name": "conv2d_23/kernel", "shape": [1, 1, 288, 64], "dtype": "float32", "quantization": {"min": -0.5600246597738827, "scale": 0.004912497015560374, "dtype": "uint8"}}, {"name": "conv2d_24/kernel", "shape": [3, 3, 64, 96], "dtype": "float32", "quantization": {"min": -0.40741646079456106, "scale": 0.0032334639745600084, "dtype": "uint8"}}, {"name": "conv2d_25/kernel", "shape": [3, 3, 96, 96], "dtype": "float32", "quantization": {"min": -0.2517923231218375, "scale": 0.0026786417353386973, "dtype": "uint8"}}, {"name": "conv2d_26/kernel", "shape": [1, 1, 288, 64], "dtype": "float32", "quantization": {"min": -0.40744167694858474, "scale": 0.00420042965926376, "dtype": "uint8"}}, {"name": "conv2d_27/kernel", "shape": [3, 3, 288, 384], "dtype": "float32", "quantization": {"min": -0.17904583583859837, "scale": 0.0023872778111813115, "dtype": "uint8"}}, {"name": "conv2d_28/kernel", "shape": [1, 1, 288, 64], "dtype": "float32", "quantization": {"min": -0.3550921758015951, "scale": 0.0030092557271321615, "dtype": "uint8"}}, {"name": "conv2d_29/kernel", "shape": [3, 3, 64, 96], "dtype": "float32", "quantization": {"min": -0.21044881904826443, "scale": 0.0021044881904826443, "dtype": "uint8"}}, {"name": "conv2d_3/kernel", "shape": [3, 3, 32, 64], "dtype": "float32", "quantization": {"min": -0.9826949535631666, "scale": 0.006920386996923708, "dtype": "uint8"}}, {"name": "conv2d_30/kernel", "shape": [3, 3, 96, 96], "dtype": "float32", "quantization": {"min": -0.142222724182933, "scale": 0.0013291843381582522, "dtype": "uint8"}}, {"name": "conv2d_31/kernel", "shape": [1, 1, 768, 192], "dtype": "float32", "quantization": {"min": -0.6299613606696035, "scale": 0.004736551583981981, "dtype": "uint8"}}, {"name": "conv2d_32/kernel", "shape": [1, 1, 768, 128], "dtype": "float32", "quantization": {"min": -0.28287766400505515, "scale": 0.0029466423333859913, "dtype": "uint8"}}, {"name": "conv2d_33/kernel", "shape": [1, 7, 128, 128], "dtype": "float32", "quantization": {"min": -0.37715829119962807, "scale": 0.003308406063154632, "dtype": "uint8"}}, {"name": "conv2d_34/kernel", "shape": [7, 1, 128, 192], "dtype": "float32", "quantization": {"min": -0.2915347753786573, "scale": 0.002602989065880869, "dtype": "uint8"}}, {"name": "conv2d_35/kernel", "shape": [1, 1, 768, 128], "dtype": "float32", "quantization": {"min": -0.5098388725636052, "scale": 0.0034217373997557396, "dtype": "uint8"}}, {"name": "conv2d_36/kernel", "shape": [7, 1, 128, 128], "dtype": "float32", "quantization": {"min": -0.29266455173492434, "scale": 0.002956207593282064, "dtype": "uint8"}}, {"name": "conv2d_37/kernel", "shape": [1, 7, 128, 128], "dtype": "float32", "quantization": {"min": -0.3063901633608575, "scale": 0.002664262290094413, "dtype": "uint8"}}, {"name": "conv2d_38/kernel", "shape": [7, 1, 128, 128], "dtype": "float32", "quantization": {"min": -0.2562146642628838, "scale": 0.002227953602285946, "dtype": "uint8"}}, {"name": "conv2d_39/kernel", "shape": [1, 7, 128, 192], "dtype": "float32", "quantization": {"min": -0.32483990402782664, "scale": 0.0024062215113172343, "dtype": "uint8"}}, {"name": "conv2d_4/kernel", "shape": [1, 1, 64, 80], "dtype": "float32", "quantization": {"min": -1.0175340128879922, "scale": 0.008771844938689587, "dtype": "uint8"}}, {"name": "conv2d_40/kernel", "shape": [1, 1, 768, 192], "dtype": "float32", "quantization": {"min": -0.5300707817077637, "scale": 0.003897579277262968, "dtype": "uint8"}}, {"name": "conv2d_41/kernel", "shape": [1, 1, 768, 192], "dtype": "float32", "quantization": {"min": -0.4742822464774637, "scale": 0.0037345058777753046, "dtype": "uint8"}}, {"name": "conv2d_42/kernel", "shape": [1, 1, 768, 160], "dtype": "float32", "quantization": {"min": -0.4733707100737329, "scale": 0.004080781983394249, "dtype": "uint8"}}, {"name": "conv2d_43/kernel", "shape": [1, 7, 160, 160], "dtype": "float32", "quantization": {"min": -0.31529887493918923, "scale": 0.0028405304048575606, "dtype": "uint8"}}, {"name": "conv2d_44/kernel", "shape": [7, 1, 160, 192], "dtype": "float32", "quantization": {"min": -0.2984846812837264, "scale": 0.0025955189676845777, "dtype": "uint8"}}, {"name": "conv2d_45/kernel", "shape": [1, 1, 768, 160], "dtype": "float32", "quantization": {"min": -0.756424422825084, "scale": 0.0054813363972832175, "dtype": "uint8"}}, {"name": "conv2d_46/kernel", "shape": [7, 1, 160, 160], "dtype": "float32", "quantization": {"min": -0.3355672222726485, "scale": 0.0028680959168602437, "dtype": "uint8"}}, {"name": "conv2d_47/kernel", "shape": [1, 7, 160, 160], "dtype": "float32", "quantization": {"min": -0.22706727812103197, "scale": 0.002122124094589084, "dtype": "uint8"}}, {"name": "conv2d_48/kernel", "shape": [7, 1, 160, 160], "dtype": "float32", "quantization": {"min": -0.2144267187983382, "scale": 0.002257123355771981, "dtype": "uint8"}}, {"name": "conv2d_49/kernel", "shape": [1, 7, 160, 192], "dtype": "float32", "quantization": {"min": -0.3024808161398944, "scale": 0.002585306120853798, "dtype": "uint8"}}, {"name": "conv2d_5/kernel", "shape": [3, 3, 80, 192], "dtype": "float32", "quantization": {"min": -0.5794109293058807, "scale": 0.005267372084598915, "dtype": "uint8"}}, {"name": "conv2d_50/kernel", "shape": [1, 1, 768, 192], "dtype": "float32", "quantization": {"min": -0.554896311900195, "scale": 0.0038006596705492807, "dtype": "uint8"}}, {"name": "conv2d_51/kernel", "shape": [1, 1, 768, 192], "dtype": "float32", "quantization": {"min": -1.2061398295795216, "scale": 0.006931838101031733, "dtype": "uint8"}}, {"name": "conv2d_52/kernel", "shape": [1, 1, 768, 160], "dtype": "float32", "quantization": {"min": -0.3730403196577932, "scale": 0.0028695409204445633, "dtype": "uint8"}}, {"name": "conv2d_53/kernel", "shape": [1, 7, 160, 160], "dtype": "float32", "quantization": {"min": -0.3463286845123067, "scale": 0.003011553778367884, "dtype": "uint8"}}, {"name": "conv2d_54/kernel", "shape": [7, 1, 160, 192], "dtype": "float32", "quantization": {"min": -0.37797666168680377, "scale": 0.0027589537349401736, "dtype": "uint8"}}, {"name": "conv2d_55/kernel", "shape": [1, 1, 768, 160], "dtype": "float32", "quantization": {"min": -0.4141439642391953, "scale": 0.004989686316134883, "dtype": "uint8"}}, {"name": "conv2d_56/kernel", "shape": [7, 1, 160, 160], "dtype": "float32", "quantization": {"min": -0.3559323572645, "scale": 0.0032357487024045456, "dtype": "uint8"}}, {"name": "conv2d_57/kernel", "shape": [1, 7, 160, 160], "dtype": "float32", "quantization": {"min": -0.2674277156007056, "scale": 0.0026742771560070563, "dtype": "uint8"}}, {"name": "conv2d_58/kernel", "shape": [7, 1, 160, 160], "dtype": "float32", "quantization": {"min": -0.5307076104715759, "scale": 0.0035617960434333952, "dtype": "uint8"}}, {"name": "conv2d_59/kernel", "shape": [1, 7, 160, 192], "dtype": "float32", "quantization": {"min": -0.4569946948219748, "scale": 0.0036854410872739904, "dtype": "uint8"}}, {"name": "conv2d_6/kernel", "shape": [1, 1, 192, 64], "dtype": "float32", "quantization": {"min": -0.670501438776652, "scale": 0.005634465872072706, "dtype": "uint8"}}, {"name": "conv2d_60/kernel", "shape": [1, 1, 768, 192], "dtype": "float32", "quantization": {"min": -0.7935055354062248, "scale": 0.004408364085590138, "dtype": "uint8"}}, {"name": "conv2d_61/kernel", "shape": [1, 1, 768, 192], "dtype": "float32", "quantization": {"min": -1.0109173382029812, "scale": 0.006053397234748391, "dtype": "uint8"}}, {"name": "conv2d_62/kernel", "shape": [1, 1, 768, 192], "dtype": "float32", "quantization": {"min": -0.41344635837218335, "scale": 0.004645464700811049, "dtype": "uint8"}}, {"name": "conv2d_63/kernel", "shape": [1, 7, 192, 192], "dtype": "float32", "quantization": {"min": -0.24348092184347264, "scale": 0.004508905960064308, "dtype": "uint8"}}, {"name": "conv2d_64/kernel", "shape": [7, 1, 192, 192], "dtype": "float32", "quantization": {"min": -0.4806287989896886, "scale": 0.004005239991580738, "dtype": "uint8"}}, {"name": "conv2d_65/kernel", "shape": [1, 1, 768, 192], "dtype": "float32", "quantization": {"min": -0.3917752130358827, "scale": 0.0030136554848914053, "dtype": "uint8"}}, {"name": "conv2d_66/kernel", "shape": [7, 1, 192, 192], "dtype": "float32", "quantization": {"min": -0.20425691803296406, "scale": 0.002172945936520894, "dtype": "uint8"}}, {"name": "conv2d_67/kernel", "shape": [1, 7, 192, 192], "dtype": "float32", "quantization": {"min": -0.22208931896032072, "scale": 0.0019312114692201802, "dtype": "uint8"}}, {"name": "conv2d_68/kernel", "shape": [7, 1, 192, 192], "dtype": "float32", "quantization": {"min": -0.1574226176037508, "scale": 0.0016063532408546, "dtype": "uint8"}}, {"name": "conv2d_69/kernel", "shape": [1, 7, 192, 192], "dtype": "float32", "quantization": {"min": -0.1563245475292206, "scale": 0.0015951484441757203, "dtype": "uint8"}}, {"name": "conv2d_7/kernel", "shape": [1, 1, 192, 48], "dtype": "float32", "quantization": {"min": -0.6889615984523997, "scale": 0.005467949194066664, "dtype": "uint8"}}, {"name": "conv2d_70/kernel", "shape": [1, 1, 768, 192], "dtype": "float32", "quantization": {"min": -0.5254201654125663, "scale": 0.003574286839541267, "dtype": "uint8"}}, {"name": "conv2d_71/kernel", "shape": [1, 1, 768, 192], "dtype": "float32", "quantization": {"min": -0.14087693007553326, "scale": 0.001394821089856765, "dtype": "uint8"}}, {"name": "conv2d_72/kernel", "shape": [3, 3, 192, 320], "dtype": "float32", "quantization": {"min": -0.1017690990485397, "scale": 0.0009785490293128818, "dtype": "uint8"}}, {"name": "conv2d_73/kernel", "shape": [1, 1, 768, 192], "dtype": "float32", "quantization": {"min": -0.27043156717337813, "scale": 0.0035120982749789367, "dtype": "uint8"}}, {"name": "conv2d_74/kernel", "shape": [1, 7, 192, 192], "dtype": "float32", "quantization": {"min": -0.1989350945341821, "scale": 0.0017762062011980543, "dtype": "uint8"}}, {"name": "conv2d_75/kernel", "shape": [7, 1, 192, 192], "dtype": "float32", "quantization": {"min": -0.21929225535953745, "scale": 0.0017828638647116866, "dtype": "uint8"}}, {"name": "conv2d_76/kernel", "shape": [3, 3, 192, 192], "dtype": "float32", "quantization": {"min": -0.31502492287579703, "scale": 0.003316051819745232, "dtype": "uint8"}}, {"name": "conv2d_77/kernel", "shape": [1, 1, 1280, 320], "dtype": "float32", "quantization": {"min": -0.2736586353358101, "scale": 0.0035084440427667956, "dtype": "uint8"}}, {"name": "conv2d_78/kernel", "shape": [1, 1, 1280, 384], "dtype": "float32", "quantization": {"min": -0.24273421998117484, "scale": 0.0021672698212604896, "dtype": "uint8"}}, {"name": "conv2d_79/kernel", "shape": [1, 3, 384, 384], "dtype": "float32", "quantization": {"min": -0.1003472120738497, "scale": 0.0010239511436107112, "dtype": "uint8"}}, {"name": "conv2d_8/kernel", "shape": [5, 5, 48, 64], "dtype": "float32", "quantization": {"min": -0.8959833215264714, "scale": 0.007859502820407644, "dtype": "uint8"}}, {"name": "conv2d_80/kernel", "shape": [3, 1, 384, 384], "dtype": "float32", "quantization": {"min": -0.12109428144553128, "scale": 0.0013307063895113328, "dtype": "uint8"}}, {"name": "conv2d_81/kernel", "shape": [1, 1, 1280, 448], "dtype": "float32", "quantization": {"min": -0.3801819539537617, "scale": 0.004271707347795075, "dtype": "uint8"}}, {"name": "conv2d_82/kernel", "shape": [3, 3, 448, 384], "dtype": "float32", "quantization": {"min": -0.23576255931573753, "scale": 0.0026195839923970838, "dtype": "uint8"}}, {"name": "conv2d_83/kernel", "shape": [1, 3, 384, 384], "dtype": "float32", "quantization": {"min": -1.244973014382755, "scale": 0.007454928229836857, "dtype": "uint8"}}, {"name": "conv2d_84/kernel", "shape": [3, 1, 384, 384], "dtype": "float32", "quantization": {"min": -0.25950103998184204, "scale": 0.003052953411551083, "dtype": "uint8"}}, {"name": "conv2d_85/kernel", "shape": [1, 1, 1280, 192], "dtype": "float32", "quantization": {"min": -0.29392333416377797, "scale": 0.0026479579654394413, "dtype": "uint8"}}, {"name": "conv2d_86/kernel", "shape": [1, 1, 2048, 320], "dtype": "float32", "quantization": {"min": -0.13341370236639882, "scale": 0.0018028878698162004, "dtype": "uint8"}}, {"name": "conv2d_87/kernel", "shape": [1, 1, 2048, 384], "dtype": "float32", "quantization": {"min": -0.7490756504675922, "scale": 0.004512503918479471, "dtype": "uint8"}}, {"name": "conv2d_88/kernel", "shape": [1, 3, 384, 384], "dtype": "float32", "quantization": {"min": -0.04267277524751775, "scale": 0.0009482838943892834, "dtype": "uint8"}}, {"name": "conv2d_89/kernel", "shape": [3, 1, 384, 384], "dtype": "float32", "quantization": {"min": -0.044487313663258275, "scale": 0.0009671155144186581, "dtype": "uint8"}}, {"name": "conv2d_9/kernel", "shape": [1, 1, 192, 64], "dtype": "float32", "quantization": {"min": -0.4946352222386528, "scale": 0.004191823917276719, "dtype": "uint8"}}, {"name": "conv2d_90/kernel", "shape": [1, 1, 2048, 448], "dtype": "float32", "quantization": {"min": -0.7601351137254753, "scale": 0.007836444471396652, "dtype": "uint8"}}, {"name": "conv2d_91/kernel", "shape": [3, 3, 448, 384], "dtype": "float32", "quantization": {"min": -0.31073258086746813, "scale": 0.0023902506220574472, "dtype": "uint8"}}, {"name": "conv2d_92/kernel", "shape": [1, 3, 384, 384], "dtype": "float32", "quantization": {"min": -0.09287645027917973, "scale": 0.000938145962415957, "dtype": "uint8"}}, {"name": "conv2d_93/kernel", "shape": [3, 1, 384, 384], "dtype": "float32", "quantization": {"min": -0.061754796522505144, "scale": 0.0007917281605449377, "dtype": "uint8"}}, {"name": "conv2d_94/kernel", "shape": [1, 1, 2048, 192], "dtype": "float32", "quantization": {"min": -0.31682243709470714, "scale": 0.002382123587178249, "dtype": "uint8"}}, {"name": "dense_1/kernel", "shape": [2048, 256], "dtype": "float32", "quantization": {"min": -0.0752635091251018, "scale": 0.0008456574059000202, "dtype": "uint8"}}, {"name": "dense_1/bias", "shape": [256], "dtype": "float32", "quantization": {"min": -0.4126813895562116, "scale": 0.0029904448518566057, "dtype": "uint8"}}, {"name": "dense_2/kernel", "shape": [256, 128], "dtype": "float32", "quantization": {"min": -0.41079130803837494, "scale": 0.003065606776405783, "dtype": "uint8"}}, {"name": "dense_2/bias", "shape": [128], "dtype": "float32", "quantization": {"min": -0.17716065984146268, "scale": 0.003221102906208412, "dtype": "uint8"}}, {"name": "dense_3/kernel", "shape": [128, 5], "dtype": "float32", "quantization": {"min": -0.692766010761261, "scale": 0.00461844007174174, "dtype": "uint8"}}, {"name": "dense_3/bias", "shape": [5], "dtype": "float32", "quantization": {"min": -0.5889016270637512, "scale": 0.00384903024224674, "dtype": "uint8"}}]}]} \ No newline at end of file +{ + "modelTopology": { + "keras_version": "2.2.4", + "backend": "tensorflow", + "model_config": { + "class_name": "Model", + "config": { + "name": "model_1", + "layers": [ + { + "name": "input_1", + "class_name": "InputLayer", + "config": { + "batch_input_shape": [null, 299, 299, 3], + "dtype": "float32", + "sparse": false, + "name": "input_1" + }, + "inbound_nodes": [] + }, + { + "name": "conv2d_1", + "class_name": "Conv2D", + "config": { + "name": "conv2d_1", + "trainable": false, + "filters": 32, + "kernel_size": [3, 3], + "strides": [2, 2], + "padding": "valid", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["input_1", 0, 0, {}]]] + }, + { + "name": "batch_normalization_1", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_1", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_1", 0, 0, {}]]] + }, + { + "name": "activation_1", + "class_name": "Activation", + "config": { + "name": "activation_1", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_1", 0, 0, {}]]] + }, + { + "name": "conv2d_2", + "class_name": "Conv2D", + "config": { + "name": "conv2d_2", + "trainable": false, + "filters": 32, + "kernel_size": [3, 3], + "strides": [1, 1], + "padding": "valid", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_1", 0, 0, {}]]] + }, + { + "name": "batch_normalization_2", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_2", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_2", 0, 0, {}]]] + }, + { + "name": "activation_2", + "class_name": "Activation", + "config": { + "name": "activation_2", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_2", 0, 0, {}]]] + }, + { + "name": "conv2d_3", + "class_name": "Conv2D", + "config": { + "name": "conv2d_3", + "trainable": false, + "filters": 64, + "kernel_size": [3, 3], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_2", 0, 0, {}]]] + }, + { + "name": "batch_normalization_3", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_3", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_3", 0, 0, {}]]] + }, + { + "name": "activation_3", + "class_name": "Activation", + "config": { + "name": "activation_3", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_3", 0, 0, {}]]] + }, + { + "name": "max_pooling2d_1", + "class_name": "MaxPooling2D", + "config": { + "name": "max_pooling2d_1", + "trainable": false, + "pool_size": [3, 3], + "padding": "valid", + "strides": [2, 2], + "data_format": "channels_last" + }, + "inbound_nodes": [[["activation_3", 0, 0, {}]]] + }, + { + "name": "conv2d_4", + "class_name": "Conv2D", + "config": { + "name": "conv2d_4", + "trainable": false, + "filters": 80, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "valid", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["max_pooling2d_1", 0, 0, {}]]] + }, + { + "name": "batch_normalization_4", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_4", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_4", 0, 0, {}]]] + }, + { + "name": "activation_4", + "class_name": "Activation", + "config": { + "name": "activation_4", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_4", 0, 0, {}]]] + }, + { + "name": "conv2d_5", + "class_name": "Conv2D", + "config": { + "name": "conv2d_5", + "trainable": false, + "filters": 192, + "kernel_size": [3, 3], + "strides": [1, 1], + "padding": "valid", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_4", 0, 0, {}]]] + }, + { + "name": "batch_normalization_5", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_5", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_5", 0, 0, {}]]] + }, + { + "name": "activation_5", + "class_name": "Activation", + "config": { + "name": "activation_5", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_5", 0, 0, {}]]] + }, + { + "name": "max_pooling2d_2", + "class_name": "MaxPooling2D", + "config": { + "name": "max_pooling2d_2", + "trainable": false, + "pool_size": [3, 3], + "padding": "valid", + "strides": [2, 2], + "data_format": "channels_last" + }, + "inbound_nodes": [[["activation_5", 0, 0, {}]]] + }, + { + "name": "conv2d_9", + "class_name": "Conv2D", + "config": { + "name": "conv2d_9", + "trainable": false, + "filters": 64, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["max_pooling2d_2", 0, 0, {}]]] + }, + { + "name": "batch_normalization_9", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_9", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_9", 0, 0, {}]]] + }, + { + "name": "activation_9", + "class_name": "Activation", + "config": { + "name": "activation_9", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_9", 0, 0, {}]]] + }, + { + "name": "conv2d_7", + "class_name": "Conv2D", + "config": { + "name": "conv2d_7", + "trainable": false, + "filters": 48, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["max_pooling2d_2", 0, 0, {}]]] + }, + { + "name": "conv2d_10", + "class_name": "Conv2D", + "config": { + "name": "conv2d_10", + "trainable": false, + "filters": 96, + "kernel_size": [3, 3], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_9", 0, 0, {}]]] + }, + { + "name": "batch_normalization_7", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_7", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_7", 0, 0, {}]]] + }, + { + "name": "batch_normalization_10", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_10", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_10", 0, 0, {}]]] + }, + { + "name": "activation_7", + "class_name": "Activation", + "config": { + "name": "activation_7", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_7", 0, 0, {}]]] + }, + { + "name": "activation_10", + "class_name": "Activation", + "config": { + "name": "activation_10", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_10", 0, 0, {}]]] + }, + { + "name": "average_pooling2d_1", + "class_name": "AveragePooling2D", + "config": { + "name": "average_pooling2d_1", + "trainable": false, + "pool_size": [3, 3], + "padding": "same", + "strides": [1, 1], + "data_format": "channels_last" + }, + "inbound_nodes": [[["max_pooling2d_2", 0, 0, {}]]] + }, + { + "name": "conv2d_6", + "class_name": "Conv2D", + "config": { + "name": "conv2d_6", + "trainable": false, + "filters": 64, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["max_pooling2d_2", 0, 0, {}]]] + }, + { + "name": "conv2d_8", + "class_name": "Conv2D", + "config": { + "name": "conv2d_8", + "trainable": false, + "filters": 64, + "kernel_size": [5, 5], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_7", 0, 0, {}]]] + }, + { + "name": "conv2d_11", + "class_name": "Conv2D", + "config": { + "name": "conv2d_11", + "trainable": false, + "filters": 96, + "kernel_size": [3, 3], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_10", 0, 0, {}]]] + }, + { + "name": "conv2d_12", + "class_name": "Conv2D", + "config": { + "name": "conv2d_12", + "trainable": false, + "filters": 32, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["average_pooling2d_1", 0, 0, {}]]] + }, + { + "name": "batch_normalization_6", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_6", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_6", 0, 0, {}]]] + }, + { + "name": "batch_normalization_8", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_8", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_8", 0, 0, {}]]] + }, + { + "name": "batch_normalization_11", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_11", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_11", 0, 0, {}]]] + }, + { + "name": "batch_normalization_12", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_12", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_12", 0, 0, {}]]] + }, + { + "name": "activation_6", + "class_name": "Activation", + "config": { + "name": "activation_6", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_6", 0, 0, {}]]] + }, + { + "name": "activation_8", + "class_name": "Activation", + "config": { + "name": "activation_8", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_8", 0, 0, {}]]] + }, + { + "name": "activation_11", + "class_name": "Activation", + "config": { + "name": "activation_11", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_11", 0, 0, {}]]] + }, + { + "name": "activation_12", + "class_name": "Activation", + "config": { + "name": "activation_12", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_12", 0, 0, {}]]] + }, + { + "name": "mixed0", + "class_name": "Concatenate", + "config": { "name": "mixed0", "trainable": false, "axis": 3 }, + "inbound_nodes": [ + [ + ["activation_6", 0, 0, {}], + ["activation_8", 0, 0, {}], + ["activation_11", 0, 0, {}], + ["activation_12", 0, 0, {}] + ] + ] + }, + { + "name": "conv2d_16", + "class_name": "Conv2D", + "config": { + "name": "conv2d_16", + "trainable": false, + "filters": 64, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed0", 0, 0, {}]]] + }, + { + "name": "batch_normalization_16", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_16", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_16", 0, 0, {}]]] + }, + { + "name": "activation_16", + "class_name": "Activation", + "config": { + "name": "activation_16", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_16", 0, 0, {}]]] + }, + { + "name": "conv2d_14", + "class_name": "Conv2D", + "config": { + "name": "conv2d_14", + "trainable": false, + "filters": 48, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed0", 0, 0, {}]]] + }, + { + "name": "conv2d_17", + "class_name": "Conv2D", + "config": { + "name": "conv2d_17", + "trainable": false, + "filters": 96, + "kernel_size": [3, 3], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_16", 0, 0, {}]]] + }, + { + "name": "batch_normalization_14", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_14", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_14", 0, 0, {}]]] + }, + { + "name": "batch_normalization_17", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_17", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_17", 0, 0, {}]]] + }, + { + "name": "activation_14", + "class_name": "Activation", + "config": { + "name": "activation_14", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_14", 0, 0, {}]]] + }, + { + "name": "activation_17", + "class_name": "Activation", + "config": { + "name": "activation_17", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_17", 0, 0, {}]]] + }, + { + "name": "average_pooling2d_2", + "class_name": "AveragePooling2D", + "config": { + "name": "average_pooling2d_2", + "trainable": false, + "pool_size": [3, 3], + "padding": "same", + "strides": [1, 1], + "data_format": "channels_last" + }, + "inbound_nodes": [[["mixed0", 0, 0, {}]]] + }, + { + "name": "conv2d_13", + "class_name": "Conv2D", + "config": { + "name": "conv2d_13", + "trainable": false, + "filters": 64, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed0", 0, 0, {}]]] + }, + { + "name": "conv2d_15", + "class_name": "Conv2D", + "config": { + "name": "conv2d_15", + "trainable": false, + "filters": 64, + "kernel_size": [5, 5], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_14", 0, 0, {}]]] + }, + { + "name": "conv2d_18", + "class_name": "Conv2D", + "config": { + "name": "conv2d_18", + "trainable": false, + "filters": 96, + "kernel_size": [3, 3], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_17", 0, 0, {}]]] + }, + { + "name": "conv2d_19", + "class_name": "Conv2D", + "config": { + "name": "conv2d_19", + "trainable": false, + "filters": 64, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["average_pooling2d_2", 0, 0, {}]]] + }, + { + "name": "batch_normalization_13", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_13", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_13", 0, 0, {}]]] + }, + { + "name": "batch_normalization_15", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_15", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_15", 0, 0, {}]]] + }, + { + "name": "batch_normalization_18", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_18", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_18", 0, 0, {}]]] + }, + { + "name": "batch_normalization_19", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_19", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_19", 0, 0, {}]]] + }, + { + "name": "activation_13", + "class_name": "Activation", + "config": { + "name": "activation_13", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_13", 0, 0, {}]]] + }, + { + "name": "activation_15", + "class_name": "Activation", + "config": { + "name": "activation_15", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_15", 0, 0, {}]]] + }, + { + "name": "activation_18", + "class_name": "Activation", + "config": { + "name": "activation_18", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_18", 0, 0, {}]]] + }, + { + "name": "activation_19", + "class_name": "Activation", + "config": { + "name": "activation_19", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_19", 0, 0, {}]]] + }, + { + "name": "mixed1", + "class_name": "Concatenate", + "config": { "name": "mixed1", "trainable": false, "axis": 3 }, + "inbound_nodes": [ + [ + ["activation_13", 0, 0, {}], + ["activation_15", 0, 0, {}], + ["activation_18", 0, 0, {}], + ["activation_19", 0, 0, {}] + ] + ] + }, + { + "name": "conv2d_23", + "class_name": "Conv2D", + "config": { + "name": "conv2d_23", + "trainable": false, + "filters": 64, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed1", 0, 0, {}]]] + }, + { + "name": "batch_normalization_23", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_23", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_23", 0, 0, {}]]] + }, + { + "name": "activation_23", + "class_name": "Activation", + "config": { + "name": "activation_23", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_23", 0, 0, {}]]] + }, + { + "name": "conv2d_21", + "class_name": "Conv2D", + "config": { + "name": "conv2d_21", + "trainable": false, + "filters": 48, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed1", 0, 0, {}]]] + }, + { + "name": "conv2d_24", + "class_name": "Conv2D", + "config": { + "name": "conv2d_24", + "trainable": false, + "filters": 96, + "kernel_size": [3, 3], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_23", 0, 0, {}]]] + }, + { + "name": "batch_normalization_21", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_21", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_21", 0, 0, {}]]] + }, + { + "name": "batch_normalization_24", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_24", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_24", 0, 0, {}]]] + }, + { + "name": "activation_21", + "class_name": "Activation", + "config": { + "name": "activation_21", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_21", 0, 0, {}]]] + }, + { + "name": "activation_24", + "class_name": "Activation", + "config": { + "name": "activation_24", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_24", 0, 0, {}]]] + }, + { + "name": "average_pooling2d_3", + "class_name": "AveragePooling2D", + "config": { + "name": "average_pooling2d_3", + "trainable": false, + "pool_size": [3, 3], + "padding": "same", + "strides": [1, 1], + "data_format": "channels_last" + }, + "inbound_nodes": [[["mixed1", 0, 0, {}]]] + }, + { + "name": "conv2d_20", + "class_name": "Conv2D", + "config": { + "name": "conv2d_20", + "trainable": false, + "filters": 64, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed1", 0, 0, {}]]] + }, + { + "name": "conv2d_22", + "class_name": "Conv2D", + "config": { + "name": "conv2d_22", + "trainable": false, + "filters": 64, + "kernel_size": [5, 5], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_21", 0, 0, {}]]] + }, + { + "name": "conv2d_25", + "class_name": "Conv2D", + "config": { + "name": "conv2d_25", + "trainable": false, + "filters": 96, + "kernel_size": [3, 3], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_24", 0, 0, {}]]] + }, + { + "name": "conv2d_26", + "class_name": "Conv2D", + "config": { + "name": "conv2d_26", + "trainable": false, + "filters": 64, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["average_pooling2d_3", 0, 0, {}]]] + }, + { + "name": "batch_normalization_20", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_20", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_20", 0, 0, {}]]] + }, + { + "name": "batch_normalization_22", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_22", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_22", 0, 0, {}]]] + }, + { + "name": "batch_normalization_25", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_25", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_25", 0, 0, {}]]] + }, + { + "name": "batch_normalization_26", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_26", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_26", 0, 0, {}]]] + }, + { + "name": "activation_20", + "class_name": "Activation", + "config": { + "name": "activation_20", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_20", 0, 0, {}]]] + }, + { + "name": "activation_22", + "class_name": "Activation", + "config": { + "name": "activation_22", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_22", 0, 0, {}]]] + }, + { + "name": "activation_25", + "class_name": "Activation", + "config": { + "name": "activation_25", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_25", 0, 0, {}]]] + }, + { + "name": "activation_26", + "class_name": "Activation", + "config": { + "name": "activation_26", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_26", 0, 0, {}]]] + }, + { + "name": "mixed2", + "class_name": "Concatenate", + "config": { "name": "mixed2", "trainable": false, "axis": 3 }, + "inbound_nodes": [ + [ + ["activation_20", 0, 0, {}], + ["activation_22", 0, 0, {}], + ["activation_25", 0, 0, {}], + ["activation_26", 0, 0, {}] + ] + ] + }, + { + "name": "conv2d_28", + "class_name": "Conv2D", + "config": { + "name": "conv2d_28", + "trainable": false, + "filters": 64, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed2", 0, 0, {}]]] + }, + { + "name": "batch_normalization_28", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_28", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_28", 0, 0, {}]]] + }, + { + "name": "activation_28", + "class_name": "Activation", + "config": { + "name": "activation_28", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_28", 0, 0, {}]]] + }, + { + "name": "conv2d_29", + "class_name": "Conv2D", + "config": { + "name": "conv2d_29", + "trainable": false, + "filters": 96, + "kernel_size": [3, 3], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_28", 0, 0, {}]]] + }, + { + "name": "batch_normalization_29", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_29", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_29", 0, 0, {}]]] + }, + { + "name": "activation_29", + "class_name": "Activation", + "config": { + "name": "activation_29", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_29", 0, 0, {}]]] + }, + { + "name": "conv2d_27", + "class_name": "Conv2D", + "config": { + "name": "conv2d_27", + "trainable": false, + "filters": 384, + "kernel_size": [3, 3], + "strides": [2, 2], + "padding": "valid", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed2", 0, 0, {}]]] + }, + { + "name": "conv2d_30", + "class_name": "Conv2D", + "config": { + "name": "conv2d_30", + "trainable": false, + "filters": 96, + "kernel_size": [3, 3], + "strides": [2, 2], + "padding": "valid", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_29", 0, 0, {}]]] + }, + { + "name": "batch_normalization_27", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_27", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_27", 0, 0, {}]]] + }, + { + "name": "batch_normalization_30", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_30", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_30", 0, 0, {}]]] + }, + { + "name": "activation_27", + "class_name": "Activation", + "config": { + "name": "activation_27", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_27", 0, 0, {}]]] + }, + { + "name": "activation_30", + "class_name": "Activation", + "config": { + "name": "activation_30", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_30", 0, 0, {}]]] + }, + { + "name": "max_pooling2d_3", + "class_name": "MaxPooling2D", + "config": { + "name": "max_pooling2d_3", + "trainable": false, + "pool_size": [3, 3], + "padding": "valid", + "strides": [2, 2], + "data_format": "channels_last" + }, + "inbound_nodes": [[["mixed2", 0, 0, {}]]] + }, + { + "name": "mixed3", + "class_name": "Concatenate", + "config": { "name": "mixed3", "trainable": false, "axis": 3 }, + "inbound_nodes": [ + [ + ["activation_27", 0, 0, {}], + ["activation_30", 0, 0, {}], + ["max_pooling2d_3", 0, 0, {}] + ] + ] + }, + { + "name": "conv2d_35", + "class_name": "Conv2D", + "config": { + "name": "conv2d_35", + "trainable": false, + "filters": 128, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed3", 0, 0, {}]]] + }, + { + "name": "batch_normalization_35", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_35", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_35", 0, 0, {}]]] + }, + { + "name": "activation_35", + "class_name": "Activation", + "config": { + "name": "activation_35", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_35", 0, 0, {}]]] + }, + { + "name": "conv2d_36", + "class_name": "Conv2D", + "config": { + "name": "conv2d_36", + "trainable": false, + "filters": 128, + "kernel_size": [7, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_35", 0, 0, {}]]] + }, + { + "name": "batch_normalization_36", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_36", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_36", 0, 0, {}]]] + }, + { + "name": "activation_36", + "class_name": "Activation", + "config": { + "name": "activation_36", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_36", 0, 0, {}]]] + }, + { + "name": "conv2d_32", + "class_name": "Conv2D", + "config": { + "name": "conv2d_32", + "trainable": false, + "filters": 128, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed3", 0, 0, {}]]] + }, + { + "name": "conv2d_37", + "class_name": "Conv2D", + "config": { + "name": "conv2d_37", + "trainable": false, + "filters": 128, + "kernel_size": [1, 7], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_36", 0, 0, {}]]] + }, + { + "name": "batch_normalization_32", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_32", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_32", 0, 0, {}]]] + }, + { + "name": "batch_normalization_37", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_37", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_37", 0, 0, {}]]] + }, + { + "name": "activation_32", + "class_name": "Activation", + "config": { + "name": "activation_32", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_32", 0, 0, {}]]] + }, + { + "name": "activation_37", + "class_name": "Activation", + "config": { + "name": "activation_37", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_37", 0, 0, {}]]] + }, + { + "name": "conv2d_33", + "class_name": "Conv2D", + "config": { + "name": "conv2d_33", + "trainable": false, + "filters": 128, + "kernel_size": [1, 7], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_32", 0, 0, {}]]] + }, + { + "name": "conv2d_38", + "class_name": "Conv2D", + "config": { + "name": "conv2d_38", + "trainable": false, + "filters": 128, + "kernel_size": [7, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_37", 0, 0, {}]]] + }, + { + "name": "batch_normalization_33", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_33", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_33", 0, 0, {}]]] + }, + { + "name": "batch_normalization_38", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_38", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_38", 0, 0, {}]]] + }, + { + "name": "activation_33", + "class_name": "Activation", + "config": { + "name": "activation_33", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_33", 0, 0, {}]]] + }, + { + "name": "activation_38", + "class_name": "Activation", + "config": { + "name": "activation_38", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_38", 0, 0, {}]]] + }, + { + "name": "average_pooling2d_4", + "class_name": "AveragePooling2D", + "config": { + "name": "average_pooling2d_4", + "trainable": false, + "pool_size": [3, 3], + "padding": "same", + "strides": [1, 1], + "data_format": "channels_last" + }, + "inbound_nodes": [[["mixed3", 0, 0, {}]]] + }, + { + "name": "conv2d_31", + "class_name": "Conv2D", + "config": { + "name": "conv2d_31", + "trainable": false, + "filters": 192, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed3", 0, 0, {}]]] + }, + { + "name": "conv2d_34", + "class_name": "Conv2D", + "config": { + "name": "conv2d_34", + "trainable": false, + "filters": 192, + "kernel_size": [7, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_33", 0, 0, {}]]] + }, + { + "name": "conv2d_39", + "class_name": "Conv2D", + "config": { + "name": "conv2d_39", + "trainable": false, + "filters": 192, + "kernel_size": [1, 7], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_38", 0, 0, {}]]] + }, + { + "name": "conv2d_40", + "class_name": "Conv2D", + "config": { + "name": "conv2d_40", + "trainable": false, + "filters": 192, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["average_pooling2d_4", 0, 0, {}]]] + }, + { + "name": "batch_normalization_31", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_31", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_31", 0, 0, {}]]] + }, + { + "name": "batch_normalization_34", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_34", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_34", 0, 0, {}]]] + }, + { + "name": "batch_normalization_39", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_39", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_39", 0, 0, {}]]] + }, + { + "name": "batch_normalization_40", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_40", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_40", 0, 0, {}]]] + }, + { + "name": "activation_31", + "class_name": "Activation", + "config": { + "name": "activation_31", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_31", 0, 0, {}]]] + }, + { + "name": "activation_34", + "class_name": "Activation", + "config": { + "name": "activation_34", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_34", 0, 0, {}]]] + }, + { + "name": "activation_39", + "class_name": "Activation", + "config": { + "name": "activation_39", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_39", 0, 0, {}]]] + }, + { + "name": "activation_40", + "class_name": "Activation", + "config": { + "name": "activation_40", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_40", 0, 0, {}]]] + }, + { + "name": "mixed4", + "class_name": "Concatenate", + "config": { "name": "mixed4", "trainable": false, "axis": 3 }, + "inbound_nodes": [ + [ + ["activation_31", 0, 0, {}], + ["activation_34", 0, 0, {}], + ["activation_39", 0, 0, {}], + ["activation_40", 0, 0, {}] + ] + ] + }, + { + "name": "conv2d_45", + "class_name": "Conv2D", + "config": { + "name": "conv2d_45", + "trainable": false, + "filters": 160, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed4", 0, 0, {}]]] + }, + { + "name": "batch_normalization_45", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_45", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_45", 0, 0, {}]]] + }, + { + "name": "activation_45", + "class_name": "Activation", + "config": { + "name": "activation_45", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_45", 0, 0, {}]]] + }, + { + "name": "conv2d_46", + "class_name": "Conv2D", + "config": { + "name": "conv2d_46", + "trainable": false, + "filters": 160, + "kernel_size": [7, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_45", 0, 0, {}]]] + }, + { + "name": "batch_normalization_46", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_46", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_46", 0, 0, {}]]] + }, + { + "name": "activation_46", + "class_name": "Activation", + "config": { + "name": "activation_46", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_46", 0, 0, {}]]] + }, + { + "name": "conv2d_42", + "class_name": "Conv2D", + "config": { + "name": "conv2d_42", + "trainable": false, + "filters": 160, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed4", 0, 0, {}]]] + }, + { + "name": "conv2d_47", + "class_name": "Conv2D", + "config": { + "name": "conv2d_47", + "trainable": false, + "filters": 160, + "kernel_size": [1, 7], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_46", 0, 0, {}]]] + }, + { + "name": "batch_normalization_42", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_42", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_42", 0, 0, {}]]] + }, + { + "name": "batch_normalization_47", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_47", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_47", 0, 0, {}]]] + }, + { + "name": "activation_42", + "class_name": "Activation", + "config": { + "name": "activation_42", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_42", 0, 0, {}]]] + }, + { + "name": "activation_47", + "class_name": "Activation", + "config": { + "name": "activation_47", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_47", 0, 0, {}]]] + }, + { + "name": "conv2d_43", + "class_name": "Conv2D", + "config": { + "name": "conv2d_43", + "trainable": false, + "filters": 160, + "kernel_size": [1, 7], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_42", 0, 0, {}]]] + }, + { + "name": "conv2d_48", + "class_name": "Conv2D", + "config": { + "name": "conv2d_48", + "trainable": false, + "filters": 160, + "kernel_size": [7, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_47", 0, 0, {}]]] + }, + { + "name": "batch_normalization_43", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_43", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_43", 0, 0, {}]]] + }, + { + "name": "batch_normalization_48", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_48", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_48", 0, 0, {}]]] + }, + { + "name": "activation_43", + "class_name": "Activation", + "config": { + "name": "activation_43", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_43", 0, 0, {}]]] + }, + { + "name": "activation_48", + "class_name": "Activation", + "config": { + "name": "activation_48", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_48", 0, 0, {}]]] + }, + { + "name": "average_pooling2d_5", + "class_name": "AveragePooling2D", + "config": { + "name": "average_pooling2d_5", + "trainable": false, + "pool_size": [3, 3], + "padding": "same", + "strides": [1, 1], + "data_format": "channels_last" + }, + "inbound_nodes": [[["mixed4", 0, 0, {}]]] + }, + { + "name": "conv2d_41", + "class_name": "Conv2D", + "config": { + "name": "conv2d_41", + "trainable": false, + "filters": 192, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed4", 0, 0, {}]]] + }, + { + "name": "conv2d_44", + "class_name": "Conv2D", + "config": { + "name": "conv2d_44", + "trainable": false, + "filters": 192, + "kernel_size": [7, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_43", 0, 0, {}]]] + }, + { + "name": "conv2d_49", + "class_name": "Conv2D", + "config": { + "name": "conv2d_49", + "trainable": false, + "filters": 192, + "kernel_size": [1, 7], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_48", 0, 0, {}]]] + }, + { + "name": "conv2d_50", + "class_name": "Conv2D", + "config": { + "name": "conv2d_50", + "trainable": false, + "filters": 192, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["average_pooling2d_5", 0, 0, {}]]] + }, + { + "name": "batch_normalization_41", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_41", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_41", 0, 0, {}]]] + }, + { + "name": "batch_normalization_44", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_44", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_44", 0, 0, {}]]] + }, + { + "name": "batch_normalization_49", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_49", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_49", 0, 0, {}]]] + }, + { + "name": "batch_normalization_50", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_50", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_50", 0, 0, {}]]] + }, + { + "name": "activation_41", + "class_name": "Activation", + "config": { + "name": "activation_41", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_41", 0, 0, {}]]] + }, + { + "name": "activation_44", + "class_name": "Activation", + "config": { + "name": "activation_44", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_44", 0, 0, {}]]] + }, + { + "name": "activation_49", + "class_name": "Activation", + "config": { + "name": "activation_49", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_49", 0, 0, {}]]] + }, + { + "name": "activation_50", + "class_name": "Activation", + "config": { + "name": "activation_50", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_50", 0, 0, {}]]] + }, + { + "name": "mixed5", + "class_name": "Concatenate", + "config": { "name": "mixed5", "trainable": false, "axis": 3 }, + "inbound_nodes": [ + [ + ["activation_41", 0, 0, {}], + ["activation_44", 0, 0, {}], + ["activation_49", 0, 0, {}], + ["activation_50", 0, 0, {}] + ] + ] + }, + { + "name": "conv2d_55", + "class_name": "Conv2D", + "config": { + "name": "conv2d_55", + "trainable": false, + "filters": 160, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed5", 0, 0, {}]]] + }, + { + "name": "batch_normalization_55", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_55", + "trainable": false, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_55", 0, 0, {}]]] + }, + { + "name": "activation_55", + "class_name": "Activation", + "config": { + "name": "activation_55", + "trainable": false, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_55", 0, 0, {}]]] + }, + { + "name": "conv2d_56", + "class_name": "Conv2D", + "config": { + "name": "conv2d_56", + "trainable": true, + "filters": 160, + "kernel_size": [7, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_55", 0, 0, {}]]] + }, + { + "name": "batch_normalization_56", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_56", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_56", 0, 0, {}]]] + }, + { + "name": "activation_56", + "class_name": "Activation", + "config": { + "name": "activation_56", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_56", 0, 0, {}]]] + }, + { + "name": "conv2d_52", + "class_name": "Conv2D", + "config": { + "name": "conv2d_52", + "trainable": true, + "filters": 160, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed5", 0, 0, {}]]] + }, + { + "name": "conv2d_57", + "class_name": "Conv2D", + "config": { + "name": "conv2d_57", + "trainable": true, + "filters": 160, + "kernel_size": [1, 7], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_56", 0, 0, {}]]] + }, + { + "name": "batch_normalization_52", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_52", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_52", 0, 0, {}]]] + }, + { + "name": "batch_normalization_57", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_57", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_57", 0, 0, {}]]] + }, + { + "name": "activation_52", + "class_name": "Activation", + "config": { + "name": "activation_52", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_52", 0, 0, {}]]] + }, + { + "name": "activation_57", + "class_name": "Activation", + "config": { + "name": "activation_57", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_57", 0, 0, {}]]] + }, + { + "name": "conv2d_53", + "class_name": "Conv2D", + "config": { + "name": "conv2d_53", + "trainable": true, + "filters": 160, + "kernel_size": [1, 7], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_52", 0, 0, {}]]] + }, + { + "name": "conv2d_58", + "class_name": "Conv2D", + "config": { + "name": "conv2d_58", + "trainable": true, + "filters": 160, + "kernel_size": [7, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_57", 0, 0, {}]]] + }, + { + "name": "batch_normalization_53", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_53", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_53", 0, 0, {}]]] + }, + { + "name": "batch_normalization_58", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_58", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_58", 0, 0, {}]]] + }, + { + "name": "activation_53", + "class_name": "Activation", + "config": { + "name": "activation_53", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_53", 0, 0, {}]]] + }, + { + "name": "activation_58", + "class_name": "Activation", + "config": { + "name": "activation_58", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_58", 0, 0, {}]]] + }, + { + "name": "average_pooling2d_6", + "class_name": "AveragePooling2D", + "config": { + "name": "average_pooling2d_6", + "trainable": true, + "pool_size": [3, 3], + "padding": "same", + "strides": [1, 1], + "data_format": "channels_last" + }, + "inbound_nodes": [[["mixed5", 0, 0, {}]]] + }, + { + "name": "conv2d_51", + "class_name": "Conv2D", + "config": { + "name": "conv2d_51", + "trainable": true, + "filters": 192, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed5", 0, 0, {}]]] + }, + { + "name": "conv2d_54", + "class_name": "Conv2D", + "config": { + "name": "conv2d_54", + "trainable": true, + "filters": 192, + "kernel_size": [7, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_53", 0, 0, {}]]] + }, + { + "name": "conv2d_59", + "class_name": "Conv2D", + "config": { + "name": "conv2d_59", + "trainable": true, + "filters": 192, + "kernel_size": [1, 7], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_58", 0, 0, {}]]] + }, + { + "name": "conv2d_60", + "class_name": "Conv2D", + "config": { + "name": "conv2d_60", + "trainable": true, + "filters": 192, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["average_pooling2d_6", 0, 0, {}]]] + }, + { + "name": "batch_normalization_51", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_51", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_51", 0, 0, {}]]] + }, + { + "name": "batch_normalization_54", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_54", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_54", 0, 0, {}]]] + }, + { + "name": "batch_normalization_59", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_59", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_59", 0, 0, {}]]] + }, + { + "name": "batch_normalization_60", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_60", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_60", 0, 0, {}]]] + }, + { + "name": "activation_51", + "class_name": "Activation", + "config": { + "name": "activation_51", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_51", 0, 0, {}]]] + }, + { + "name": "activation_54", + "class_name": "Activation", + "config": { + "name": "activation_54", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_54", 0, 0, {}]]] + }, + { + "name": "activation_59", + "class_name": "Activation", + "config": { + "name": "activation_59", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_59", 0, 0, {}]]] + }, + { + "name": "activation_60", + "class_name": "Activation", + "config": { + "name": "activation_60", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_60", 0, 0, {}]]] + }, + { + "name": "mixed6", + "class_name": "Concatenate", + "config": { "name": "mixed6", "trainable": true, "axis": 3 }, + "inbound_nodes": [ + [ + ["activation_51", 0, 0, {}], + ["activation_54", 0, 0, {}], + ["activation_59", 0, 0, {}], + ["activation_60", 0, 0, {}] + ] + ] + }, + { + "name": "conv2d_65", + "class_name": "Conv2D", + "config": { + "name": "conv2d_65", + "trainable": true, + "filters": 192, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed6", 0, 0, {}]]] + }, + { + "name": "batch_normalization_65", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_65", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_65", 0, 0, {}]]] + }, + { + "name": "activation_65", + "class_name": "Activation", + "config": { + "name": "activation_65", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_65", 0, 0, {}]]] + }, + { + "name": "conv2d_66", + "class_name": "Conv2D", + "config": { + "name": "conv2d_66", + "trainable": true, + "filters": 192, + "kernel_size": [7, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_65", 0, 0, {}]]] + }, + { + "name": "batch_normalization_66", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_66", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_66", 0, 0, {}]]] + }, + { + "name": "activation_66", + "class_name": "Activation", + "config": { + "name": "activation_66", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_66", 0, 0, {}]]] + }, + { + "name": "conv2d_62", + "class_name": "Conv2D", + "config": { + "name": "conv2d_62", + "trainable": true, + "filters": 192, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed6", 0, 0, {}]]] + }, + { + "name": "conv2d_67", + "class_name": "Conv2D", + "config": { + "name": "conv2d_67", + "trainable": true, + "filters": 192, + "kernel_size": [1, 7], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_66", 0, 0, {}]]] + }, + { + "name": "batch_normalization_62", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_62", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_62", 0, 0, {}]]] + }, + { + "name": "batch_normalization_67", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_67", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_67", 0, 0, {}]]] + }, + { + "name": "activation_62", + "class_name": "Activation", + "config": { + "name": "activation_62", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_62", 0, 0, {}]]] + }, + { + "name": "activation_67", + "class_name": "Activation", + "config": { + "name": "activation_67", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_67", 0, 0, {}]]] + }, + { + "name": "conv2d_63", + "class_name": "Conv2D", + "config": { + "name": "conv2d_63", + "trainable": true, + "filters": 192, + "kernel_size": [1, 7], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_62", 0, 0, {}]]] + }, + { + "name": "conv2d_68", + "class_name": "Conv2D", + "config": { + "name": "conv2d_68", + "trainable": true, + "filters": 192, + "kernel_size": [7, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_67", 0, 0, {}]]] + }, + { + "name": "batch_normalization_63", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_63", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_63", 0, 0, {}]]] + }, + { + "name": "batch_normalization_68", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_68", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_68", 0, 0, {}]]] + }, + { + "name": "activation_63", + "class_name": "Activation", + "config": { + "name": "activation_63", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_63", 0, 0, {}]]] + }, + { + "name": "activation_68", + "class_name": "Activation", + "config": { + "name": "activation_68", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_68", 0, 0, {}]]] + }, + { + "name": "average_pooling2d_7", + "class_name": "AveragePooling2D", + "config": { + "name": "average_pooling2d_7", + "trainable": true, + "pool_size": [3, 3], + "padding": "same", + "strides": [1, 1], + "data_format": "channels_last" + }, + "inbound_nodes": [[["mixed6", 0, 0, {}]]] + }, + { + "name": "conv2d_61", + "class_name": "Conv2D", + "config": { + "name": "conv2d_61", + "trainable": true, + "filters": 192, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed6", 0, 0, {}]]] + }, + { + "name": "conv2d_64", + "class_name": "Conv2D", + "config": { + "name": "conv2d_64", + "trainable": true, + "filters": 192, + "kernel_size": [7, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_63", 0, 0, {}]]] + }, + { + "name": "conv2d_69", + "class_name": "Conv2D", + "config": { + "name": "conv2d_69", + "trainable": true, + "filters": 192, + "kernel_size": [1, 7], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_68", 0, 0, {}]]] + }, + { + "name": "conv2d_70", + "class_name": "Conv2D", + "config": { + "name": "conv2d_70", + "trainable": true, + "filters": 192, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["average_pooling2d_7", 0, 0, {}]]] + }, + { + "name": "batch_normalization_61", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_61", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_61", 0, 0, {}]]] + }, + { + "name": "batch_normalization_64", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_64", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_64", 0, 0, {}]]] + }, + { + "name": "batch_normalization_69", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_69", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_69", 0, 0, {}]]] + }, + { + "name": "batch_normalization_70", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_70", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_70", 0, 0, {}]]] + }, + { + "name": "activation_61", + "class_name": "Activation", + "config": { + "name": "activation_61", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_61", 0, 0, {}]]] + }, + { + "name": "activation_64", + "class_name": "Activation", + "config": { + "name": "activation_64", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_64", 0, 0, {}]]] + }, + { + "name": "activation_69", + "class_name": "Activation", + "config": { + "name": "activation_69", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_69", 0, 0, {}]]] + }, + { + "name": "activation_70", + "class_name": "Activation", + "config": { + "name": "activation_70", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_70", 0, 0, {}]]] + }, + { + "name": "mixed7", + "class_name": "Concatenate", + "config": { "name": "mixed7", "trainable": true, "axis": 3 }, + "inbound_nodes": [ + [ + ["activation_61", 0, 0, {}], + ["activation_64", 0, 0, {}], + ["activation_69", 0, 0, {}], + ["activation_70", 0, 0, {}] + ] + ] + }, + { + "name": "conv2d_73", + "class_name": "Conv2D", + "config": { + "name": "conv2d_73", + "trainable": true, + "filters": 192, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed7", 0, 0, {}]]] + }, + { + "name": "batch_normalization_73", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_73", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_73", 0, 0, {}]]] + }, + { + "name": "activation_73", + "class_name": "Activation", + "config": { + "name": "activation_73", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_73", 0, 0, {}]]] + }, + { + "name": "conv2d_74", + "class_name": "Conv2D", + "config": { + "name": "conv2d_74", + "trainable": true, + "filters": 192, + "kernel_size": [1, 7], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_73", 0, 0, {}]]] + }, + { + "name": "batch_normalization_74", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_74", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_74", 0, 0, {}]]] + }, + { + "name": "activation_74", + "class_name": "Activation", + "config": { + "name": "activation_74", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_74", 0, 0, {}]]] + }, + { + "name": "conv2d_71", + "class_name": "Conv2D", + "config": { + "name": "conv2d_71", + "trainable": true, + "filters": 192, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed7", 0, 0, {}]]] + }, + { + "name": "conv2d_75", + "class_name": "Conv2D", + "config": { + "name": "conv2d_75", + "trainable": true, + "filters": 192, + "kernel_size": [7, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_74", 0, 0, {}]]] + }, + { + "name": "batch_normalization_71", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_71", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_71", 0, 0, {}]]] + }, + { + "name": "batch_normalization_75", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_75", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_75", 0, 0, {}]]] + }, + { + "name": "activation_71", + "class_name": "Activation", + "config": { + "name": "activation_71", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_71", 0, 0, {}]]] + }, + { + "name": "activation_75", + "class_name": "Activation", + "config": { + "name": "activation_75", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_75", 0, 0, {}]]] + }, + { + "name": "conv2d_72", + "class_name": "Conv2D", + "config": { + "name": "conv2d_72", + "trainable": true, + "filters": 320, + "kernel_size": [3, 3], + "strides": [2, 2], + "padding": "valid", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_71", 0, 0, {}]]] + }, + { + "name": "conv2d_76", + "class_name": "Conv2D", + "config": { + "name": "conv2d_76", + "trainable": true, + "filters": 192, + "kernel_size": [3, 3], + "strides": [2, 2], + "padding": "valid", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_75", 0, 0, {}]]] + }, + { + "name": "batch_normalization_72", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_72", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_72", 0, 0, {}]]] + }, + { + "name": "batch_normalization_76", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_76", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_76", 0, 0, {}]]] + }, + { + "name": "activation_72", + "class_name": "Activation", + "config": { + "name": "activation_72", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_72", 0, 0, {}]]] + }, + { + "name": "activation_76", + "class_name": "Activation", + "config": { + "name": "activation_76", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_76", 0, 0, {}]]] + }, + { + "name": "max_pooling2d_4", + "class_name": "MaxPooling2D", + "config": { + "name": "max_pooling2d_4", + "trainable": true, + "pool_size": [3, 3], + "padding": "valid", + "strides": [2, 2], + "data_format": "channels_last" + }, + "inbound_nodes": [[["mixed7", 0, 0, {}]]] + }, + { + "name": "mixed8", + "class_name": "Concatenate", + "config": { "name": "mixed8", "trainable": true, "axis": 3 }, + "inbound_nodes": [ + [ + ["activation_72", 0, 0, {}], + ["activation_76", 0, 0, {}], + ["max_pooling2d_4", 0, 0, {}] + ] + ] + }, + { + "name": "conv2d_81", + "class_name": "Conv2D", + "config": { + "name": "conv2d_81", + "trainable": true, + "filters": 448, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed8", 0, 0, {}]]] + }, + { + "name": "batch_normalization_81", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_81", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_81", 0, 0, {}]]] + }, + { + "name": "activation_81", + "class_name": "Activation", + "config": { + "name": "activation_81", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_81", 0, 0, {}]]] + }, + { + "name": "conv2d_78", + "class_name": "Conv2D", + "config": { + "name": "conv2d_78", + "trainable": true, + "filters": 384, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed8", 0, 0, {}]]] + }, + { + "name": "conv2d_82", + "class_name": "Conv2D", + "config": { + "name": "conv2d_82", + "trainable": true, + "filters": 384, + "kernel_size": [3, 3], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_81", 0, 0, {}]]] + }, + { + "name": "batch_normalization_78", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_78", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_78", 0, 0, {}]]] + }, + { + "name": "batch_normalization_82", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_82", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_82", 0, 0, {}]]] + }, + { + "name": "activation_78", + "class_name": "Activation", + "config": { + "name": "activation_78", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_78", 0, 0, {}]]] + }, + { + "name": "activation_82", + "class_name": "Activation", + "config": { + "name": "activation_82", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_82", 0, 0, {}]]] + }, + { + "name": "conv2d_79", + "class_name": "Conv2D", + "config": { + "name": "conv2d_79", + "trainable": true, + "filters": 384, + "kernel_size": [1, 3], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_78", 0, 0, {}]]] + }, + { + "name": "conv2d_80", + "class_name": "Conv2D", + "config": { + "name": "conv2d_80", + "trainable": true, + "filters": 384, + "kernel_size": [3, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_78", 0, 0, {}]]] + }, + { + "name": "conv2d_83", + "class_name": "Conv2D", + "config": { + "name": "conv2d_83", + "trainable": true, + "filters": 384, + "kernel_size": [1, 3], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_82", 0, 0, {}]]] + }, + { + "name": "conv2d_84", + "class_name": "Conv2D", + "config": { + "name": "conv2d_84", + "trainable": true, + "filters": 384, + "kernel_size": [3, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_82", 0, 0, {}]]] + }, + { + "name": "average_pooling2d_8", + "class_name": "AveragePooling2D", + "config": { + "name": "average_pooling2d_8", + "trainable": true, + "pool_size": [3, 3], + "padding": "same", + "strides": [1, 1], + "data_format": "channels_last" + }, + "inbound_nodes": [[["mixed8", 0, 0, {}]]] + }, + { + "name": "conv2d_77", + "class_name": "Conv2D", + "config": { + "name": "conv2d_77", + "trainable": true, + "filters": 320, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed8", 0, 0, {}]]] + }, + { + "name": "batch_normalization_79", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_79", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_79", 0, 0, {}]]] + }, + { + "name": "batch_normalization_80", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_80", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_80", 0, 0, {}]]] + }, + { + "name": "batch_normalization_83", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_83", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_83", 0, 0, {}]]] + }, + { + "name": "batch_normalization_84", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_84", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_84", 0, 0, {}]]] + }, + { + "name": "conv2d_85", + "class_name": "Conv2D", + "config": { + "name": "conv2d_85", + "trainable": true, + "filters": 192, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["average_pooling2d_8", 0, 0, {}]]] + }, + { + "name": "batch_normalization_77", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_77", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_77", 0, 0, {}]]] + }, + { + "name": "activation_79", + "class_name": "Activation", + "config": { + "name": "activation_79", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_79", 0, 0, {}]]] + }, + { + "name": "activation_80", + "class_name": "Activation", + "config": { + "name": "activation_80", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_80", 0, 0, {}]]] + }, + { + "name": "activation_83", + "class_name": "Activation", + "config": { + "name": "activation_83", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_83", 0, 0, {}]]] + }, + { + "name": "activation_84", + "class_name": "Activation", + "config": { + "name": "activation_84", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_84", 0, 0, {}]]] + }, + { + "name": "batch_normalization_85", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_85", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_85", 0, 0, {}]]] + }, + { + "name": "activation_77", + "class_name": "Activation", + "config": { + "name": "activation_77", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_77", 0, 0, {}]]] + }, + { + "name": "mixed9_0", + "class_name": "Concatenate", + "config": { "name": "mixed9_0", "trainable": true, "axis": 3 }, + "inbound_nodes": [ + [["activation_79", 0, 0, {}], ["activation_80", 0, 0, {}]] + ] + }, + { + "name": "concatenate_1", + "class_name": "Concatenate", + "config": { "name": "concatenate_1", "trainable": true, "axis": 3 }, + "inbound_nodes": [ + [["activation_83", 0, 0, {}], ["activation_84", 0, 0, {}]] + ] + }, + { + "name": "activation_85", + "class_name": "Activation", + "config": { + "name": "activation_85", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_85", 0, 0, {}]]] + }, + { + "name": "mixed9", + "class_name": "Concatenate", + "config": { "name": "mixed9", "trainable": true, "axis": 3 }, + "inbound_nodes": [ + [ + ["activation_77", 0, 0, {}], + ["mixed9_0", 0, 0, {}], + ["concatenate_1", 0, 0, {}], + ["activation_85", 0, 0, {}] + ] + ] + }, + { + "name": "conv2d_90", + "class_name": "Conv2D", + "config": { + "name": "conv2d_90", + "trainable": true, + "filters": 448, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed9", 0, 0, {}]]] + }, + { + "name": "batch_normalization_90", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_90", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_90", 0, 0, {}]]] + }, + { + "name": "activation_90", + "class_name": "Activation", + "config": { + "name": "activation_90", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_90", 0, 0, {}]]] + }, + { + "name": "conv2d_87", + "class_name": "Conv2D", + "config": { + "name": "conv2d_87", + "trainable": true, + "filters": 384, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed9", 0, 0, {}]]] + }, + { + "name": "conv2d_91", + "class_name": "Conv2D", + "config": { + "name": "conv2d_91", + "trainable": true, + "filters": 384, + "kernel_size": [3, 3], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_90", 0, 0, {}]]] + }, + { + "name": "batch_normalization_87", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_87", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_87", 0, 0, {}]]] + }, + { + "name": "batch_normalization_91", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_91", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_91", 0, 0, {}]]] + }, + { + "name": "activation_87", + "class_name": "Activation", + "config": { + "name": "activation_87", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_87", 0, 0, {}]]] + }, + { + "name": "activation_91", + "class_name": "Activation", + "config": { + "name": "activation_91", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_91", 0, 0, {}]]] + }, + { + "name": "conv2d_88", + "class_name": "Conv2D", + "config": { + "name": "conv2d_88", + "trainable": true, + "filters": 384, + "kernel_size": [1, 3], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_87", 0, 0, {}]]] + }, + { + "name": "conv2d_89", + "class_name": "Conv2D", + "config": { + "name": "conv2d_89", + "trainable": true, + "filters": 384, + "kernel_size": [3, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_87", 0, 0, {}]]] + }, + { + "name": "conv2d_92", + "class_name": "Conv2D", + "config": { + "name": "conv2d_92", + "trainable": true, + "filters": 384, + "kernel_size": [1, 3], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_91", 0, 0, {}]]] + }, + { + "name": "conv2d_93", + "class_name": "Conv2D", + "config": { + "name": "conv2d_93", + "trainable": true, + "filters": 384, + "kernel_size": [3, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["activation_91", 0, 0, {}]]] + }, + { + "name": "average_pooling2d_9", + "class_name": "AveragePooling2D", + "config": { + "name": "average_pooling2d_9", + "trainable": true, + "pool_size": [3, 3], + "padding": "same", + "strides": [1, 1], + "data_format": "channels_last" + }, + "inbound_nodes": [[["mixed9", 0, 0, {}]]] + }, + { + "name": "conv2d_86", + "class_name": "Conv2D", + "config": { + "name": "conv2d_86", + "trainable": true, + "filters": 320, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["mixed9", 0, 0, {}]]] + }, + { + "name": "batch_normalization_88", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_88", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_88", 0, 0, {}]]] + }, + { + "name": "batch_normalization_89", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_89", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_89", 0, 0, {}]]] + }, + { + "name": "batch_normalization_92", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_92", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_92", 0, 0, {}]]] + }, + { + "name": "batch_normalization_93", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_93", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_93", 0, 0, {}]]] + }, + { + "name": "conv2d_94", + "class_name": "Conv2D", + "config": { + "name": "conv2d_94", + "trainable": true, + "filters": 192, + "kernel_size": [1, 1], + "strides": [1, 1], + "padding": "same", + "data_format": "channels_last", + "dilation_rate": [1, 1], + "activation": "linear", + "use_bias": false, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["average_pooling2d_9", 0, 0, {}]]] + }, + { + "name": "batch_normalization_86", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_86", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_86", 0, 0, {}]]] + }, + { + "name": "activation_88", + "class_name": "Activation", + "config": { + "name": "activation_88", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_88", 0, 0, {}]]] + }, + { + "name": "activation_89", + "class_name": "Activation", + "config": { + "name": "activation_89", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_89", 0, 0, {}]]] + }, + { + "name": "activation_92", + "class_name": "Activation", + "config": { + "name": "activation_92", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_92", 0, 0, {}]]] + }, + { + "name": "activation_93", + "class_name": "Activation", + "config": { + "name": "activation_93", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_93", 0, 0, {}]]] + }, + { + "name": "batch_normalization_94", + "class_name": "BatchNormalization", + "config": { + "name": "batch_normalization_94", + "trainable": true, + "axis": 3, + "momentum": 0.99, + "epsilon": 0.001, + "center": true, + "scale": false, + "beta_initializer": { "class_name": "Zeros", "config": {} }, + "gamma_initializer": { "class_name": "Ones", "config": {} }, + "moving_mean_initializer": { + "class_name": "Zeros", + "config": {} + }, + "moving_variance_initializer": { + "class_name": "Ones", + "config": {} + }, + "beta_regularizer": null, + "gamma_regularizer": null, + "beta_constraint": null, + "gamma_constraint": null + }, + "inbound_nodes": [[["conv2d_94", 0, 0, {}]]] + }, + { + "name": "activation_86", + "class_name": "Activation", + "config": { + "name": "activation_86", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_86", 0, 0, {}]]] + }, + { + "name": "mixed9_1", + "class_name": "Concatenate", + "config": { "name": "mixed9_1", "trainable": true, "axis": 3 }, + "inbound_nodes": [ + [["activation_88", 0, 0, {}], ["activation_89", 0, 0, {}]] + ] + }, + { + "name": "concatenate_2", + "class_name": "Concatenate", + "config": { "name": "concatenate_2", "trainable": true, "axis": 3 }, + "inbound_nodes": [ + [["activation_92", 0, 0, {}], ["activation_93", 0, 0, {}]] + ] + }, + { + "name": "activation_94", + "class_name": "Activation", + "config": { + "name": "activation_94", + "trainable": true, + "activation": "relu" + }, + "inbound_nodes": [[["batch_normalization_94", 0, 0, {}]]] + }, + { + "name": "mixed10", + "class_name": "Concatenate", + "config": { "name": "mixed10", "trainable": true, "axis": 3 }, + "inbound_nodes": [ + [ + ["activation_86", 0, 0, {}], + ["mixed9_1", 0, 0, {}], + ["concatenate_2", 0, 0, {}], + ["activation_94", 0, 0, {}] + ] + ] + }, + { + "name": "average_pooling2d_10", + "class_name": "AveragePooling2D", + "config": { + "name": "average_pooling2d_10", + "trainable": true, + "pool_size": [8, 8], + "padding": "valid", + "strides": [8, 8], + "data_format": "channels_last" + }, + "inbound_nodes": [[["mixed10", 0, 0, {}]]] + }, + { + "name": "flatten_1", + "class_name": "Flatten", + "config": { + "name": "flatten_1", + "trainable": true, + "data_format": "channels_last" + }, + "inbound_nodes": [[["average_pooling2d_10", 0, 0, {}]]] + }, + { + "name": "dense_1", + "class_name": "Dense", + "config": { + "name": "dense_1", + "trainable": true, + "units": 256, + "activation": "relu", + "use_bias": true, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 2.0, + "mode": "fan_in", + "distribution": "normal", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": { + "class_name": "L1L2", + "config": { "l1": 0.0, "l2": 0.0005000000237487257 } + }, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["flatten_1", 0, 0, {}]]] + }, + { + "name": "dropout_2", + "class_name": "Dropout", + "config": { + "name": "dropout_2", + "trainable": true, + "rate": 0.5, + "noise_shape": null, + "seed": null + }, + "inbound_nodes": [[["dense_1", 0, 0, {}]]] + }, + { + "name": "dense_2", + "class_name": "Dense", + "config": { + "name": "dense_2", + "trainable": true, + "units": 128, + "activation": "relu", + "use_bias": true, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 2.0, + "mode": "fan_in", + "distribution": "normal", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["dropout_2", 0, 0, {}]]] + }, + { + "name": "dropout_3", + "class_name": "Dropout", + "config": { + "name": "dropout_3", + "trainable": true, + "rate": 0.25, + "noise_shape": null, + "seed": null + }, + "inbound_nodes": [[["dense_2", 0, 0, {}]]] + }, + { + "name": "dense_3", + "class_name": "Dense", + "config": { + "name": "dense_3", + "trainable": true, + "units": 5, + "activation": "softmax", + "use_bias": true, + "kernel_initializer": { + "class_name": "VarianceScaling", + "config": { + "scale": 1.0, + "mode": "fan_avg", + "distribution": "uniform", + "seed": null + } + }, + "bias_initializer": { "class_name": "Zeros", "config": {} }, + "kernel_regularizer": null, + "bias_regularizer": null, + "activity_regularizer": null, + "kernel_constraint": null, + "bias_constraint": null + }, + "inbound_nodes": [[["dropout_3", 0, 0, {}]]] + } + ], + "input_layers": [["input_1", 0, 0]], + "output_layers": [["dense_3", 0, 0]] + } + }, + "training_config": { + "optimizer_config": { + "class_name": "SGD", + "config": { + "lr": 8.999999749903509e-7, + "momentum": 0.8999999761581421, + "decay": 0.0, + "nesterov": false + } + }, + "loss": "categorical_crossentropy", + "metrics": ["accuracy"], + "sample_weight_mode": null, + "loss_weights": null + } + }, + "weightsManifest": [ + { + "paths": [ + "group1-shard1of6", + "group1-shard2of6", + "group1-shard3of6", + "group1-shard4of6", + "group1-shard5of6", + "group1-shard6of6" + ], + "weights": [ + { + "name": "batch_normalization_1/beta", + "shape": [32], + "dtype": "float32", + "quantization": { + "min": -1.4470329237919228, + "scale": 0.022262044981414198, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_1/moving_mean", + "shape": [32], + "dtype": "float32", + "quantization": { + "min": -1.3392340445051008, + "scale": 0.009048878679088518, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_1/moving_variance", + "shape": [32], + "dtype": "float32", + "quantization": { + "min": 0.0029792252462357283, + "scale": 0.002011585912174162, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_10/beta", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": -1.3942089782041662, + "scale": 0.013152914888718548, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_10/moving_mean", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": -3.4377058178770774, + "scale": 0.022322765051149853, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_10/moving_variance", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": 0.32849419116973877, + "scale": 0.0067040401346543255, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_11/beta", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": -1.516452667759914, + "scale": 0.019195603389366, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_11/moving_mean", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": -2.7463201915516575, + "scale": 0.01830880127701105, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_11/moving_variance", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": 0.2191103845834732, + "scale": 0.01466470086107067, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_12/beta", + "shape": [32], + "dtype": "float32", + "quantization": { + "min": -1.301803892734004, + "scale": 0.006319436372495165, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_12/moving_mean", + "shape": [32], + "dtype": "float32", + "quantization": { + "min": -4.4007081592784205, + "scale": 0.034114016738592406, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_12/moving_variance", + "shape": [32], + "dtype": "float32", + "quantization": { + "min": 0.16819331049919128, + "scale": 0.005921194716995838, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_13/beta", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -0.4739857888689228, + "scale": 0.016928063888175814, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_13/moving_mean", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -3.5917917167439177, + "scale": 0.04128496226142434, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_13/moving_variance", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": 0.4459476172924042, + "scale": 0.023625042976117602, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_14/beta", + "shape": [48], + "dtype": "float32", + "quantization": { + "min": -1.0772361334632425, + "scale": 0.00979305575875675, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_14/moving_mean", + "shape": [48], + "dtype": "float32", + "quantization": { + "min": -3.953980264476701, + "scale": 0.03350830732607374, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_14/moving_variance", + "shape": [48], + "dtype": "float32", + "quantization": { + "min": 0.24940407276153564, + "scale": 0.0058701262754552504, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_15/beta", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -1.35126254418317, + "scale": 0.01571235516492058, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_15/moving_mean", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -4.0795912321876076, + "scale": 0.020920980677885167, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_15/moving_variance", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": 0.49905598163604736, + "scale": 0.01223441152011647, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_16/beta", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -1.1064918892056335, + "scale": 0.01286618475820504, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_16/moving_mean", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -3.809274101257324, + "scale": 0.03527105649312337, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_16/moving_variance", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": 0.19940871000289917, + "scale": 0.009950414592144536, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_17/beta", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": -2.0270998253541834, + "scale": 0.014376594506058039, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_17/moving_mean", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": -3.1735796909706266, + "scale": 0.018031702789605832, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_17/moving_variance", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": 0.2549457848072052, + "scale": 0.008325207350300807, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_18/beta", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": -2.1231734135571645, + "scale": 0.016458708632226083, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_18/moving_mean", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": -1.3713552848965516, + "scale": 0.009657431583778532, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_18/moving_variance", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": 0.1513037383556366, + "scale": 0.0068373657909094115, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_19/beta", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -1.4365768666360892, + "scale": 0.006776305974698534, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_19/moving_mean", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -2.476449997284833, + "scale": 0.015673734160030588, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_19/moving_variance", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": 0.09515814483165741, + "scale": 0.0020481755336125692, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_2/beta", + "shape": [32], + "dtype": "float32", + "quantization": { + "min": -3.4433995106640984, + "scale": 0.02125555253496357, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_2/moving_mean", + "shape": [32], + "dtype": "float32", + "quantization": { + "min": -5.612242926803289, + "scale": 0.04526002360325233, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_2/moving_variance", + "shape": [32], + "dtype": "float32", + "quantization": { + "min": 1.6788238754359384e-14, + "scale": 0.036660007402008594, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_20/beta", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -0.8893205343508253, + "scale": 0.02021183032615512, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_20/moving_mean", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -3.9672318907345043, + "scale": 0.026625717387479896, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_20/moving_variance", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": 0.420120507478714, + "scale": 0.012815360345092475, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_21/beta", + "shape": [48], + "dtype": "float32", + "quantization": { + "min": -0.9888528188069662, + "scale": 0.007270976608874751, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_21/moving_mean", + "shape": [48], + "dtype": "float32", + "quantization": { + "min": -2.3340306749530866, + "scale": 0.017954082115023744, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_21/moving_variance", + "shape": [48], + "dtype": "float32", + "quantization": { + "min": 0.28571629524230957, + "scale": 0.0053000637129241345, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_22/beta", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -1.415032872031717, + "scale": 0.016453870605019964, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_22/moving_mean", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -2.3663464188575745, + "scale": 0.011214911937713623, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_22/moving_variance", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": 0.8183495402336121, + "scale": 0.01016303815093695, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_23/beta", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -0.8289626280466715, + "scale": 0.012190626883039287, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_23/moving_mean", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -3.606444087682986, + "scale": 0.03370508493161669, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_23/moving_variance", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": 0.28999996185302734, + "scale": 0.007630550160127527, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_24/beta", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": -1.7479860670426313, + "scale": 0.011972507308511173, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_24/moving_mean", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": -1.6063279857822492, + "scale": 0.009504899324155321, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_24/moving_variance", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": 0.24551624059677124, + "scale": 0.013059020743650548, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_25/beta", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": -1.283474132126453, + "scale": 0.009368424322090898, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_25/moving_mean", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": -1.5872352920326533, + "scale": 0.007117647049473781, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_25/moving_variance", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": 0.39823248982429504, + "scale": 0.004755370172799802, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_26/beta", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -1.5112898941425716, + "scale": 0.0061685301801737615, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_26/moving_mean", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -2.16122173982508, + "scale": 0.01637289196837182, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_26/moving_variance", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": 0.11441070586442947, + "scale": 0.004070372412017747, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_27/beta", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -1.3188155637067907, + "scale": 0.007579399791418338, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_27/moving_mean", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -5.909318789313821, + "scale": 0.03517451660305846, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_27/moving_variance", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": 0.2954988181591034, + "scale": 0.006337425404903936, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_28/beta", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -1.0164603177238913, + "scale": 0.006515771267460842, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_28/moving_mean", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -2.281826620943406, + "scale": 0.015522630074444939, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_28/moving_variance", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": 0.1750023365020752, + "scale": 0.002921118923262054, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_29/beta", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": -1.9762367010116577, + "scale": 0.005986429195778043, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_29/moving_mean", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": -1.1413830504697913, + "scale": 0.009058595638649136, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_29/moving_variance", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": 0.20233316719532013, + "scale": 0.002113556335954105, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_3/beta", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -2.6871745165656593, + "scale": 0.02020431967342601, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_3/moving_mean", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -5.694581502091651, + "scale": 0.028190997535107183, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_3/moving_variance", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": 0.14262264966964722, + "scale": 0.019136658135582418, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_30/beta", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": -0.6150621568455416, + "scale": 0.007410387431873995, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_30/moving_mean", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": -0.5138443261969323, + "scale": 0.003593316966412114, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_30/moving_variance", + "shape": [96], + "dtype": "float32", + "quantization": { + "min": 0.09833530336618423, + "scale": 0.0014371293140392678, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_31/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.0016017801621382, + "scale": 0.016693363002702303, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_31/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -2.9536140198801077, + "scale": 0.02786428320641611, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_31/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.3321317434310913, + "scale": 0.025618675175835104, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_32/beta", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": -1.482565550593769, + "scale": 0.006832099311492023, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_32/moving_mean", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": -2.2532974004745485, + "scale": 0.014727433990029728, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_32/moving_variance", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": 0.3239896297454834, + "scale": 0.0061596725501266185, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_33/beta", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": -1.2625880390990014, + "scale": 0.008306500257230273, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_33/moving_mean", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": -1.495534519588246, + "scale": 0.00826262165518368, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_33/moving_variance", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": 0.2597413659095764, + "scale": 0.003397520149455351, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_34/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.500122459262025, + "scale": 0.008523423063988778, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_34/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -2.1041239532769898, + "scale": 0.012233278798122032, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_34/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.16395790874958038, + "scale": 0.0040355992667815265, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_35/beta", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": -1.0832286638372086, + "scale": 0.012171108582440545, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_35/moving_mean", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": -2.395103445240095, + "scale": 0.023253431507185392, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_35/moving_variance", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": 0.16777288913726807, + "scale": 0.019797573370092057, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_36/beta", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": -1.8138037962072036, + "scale": 0.013143505769617416, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_36/moving_mean", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": -1.310854683670343, + "scale": 0.01057140873927696, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_36/moving_variance", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": 0.1670084297657013, + "scale": 0.006697891623366113, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_37/beta", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": -1.9430689110475428, + "scale": 0.011776175218469956, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_37/moving_mean", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": -1.7351032495498657, + "scale": 0.010206489703234504, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_37/moving_variance", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": 0.19027358293533325, + "scale": 0.005742954974081002, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_38/beta", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": -1.3741615199575237, + "scale": 0.009222560536627676, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_38/moving_mean", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": -1.8390505080129587, + "scale": 0.011941886415668563, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_38/moving_variance", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": 0.14841628074645996, + "scale": 0.004146125737358542, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_39/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.787621801039752, + "scale": 0.00907422234030331, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_39/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -3.0378903204319525, + "scale": 0.014397584457023471, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_39/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.13926127552986145, + "scale": 0.010081140550912596, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_4/beta", + "shape": [80], + "dtype": "float32", + "quantization": { + "min": -1.619629228816313, + "scale": 0.021595056384217506, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_4/moving_mean", + "shape": [80], + "dtype": "float32", + "quantization": { + "min": -7.642285971548042, + "scale": 0.048676980710497086, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_4/moving_variance", + "shape": [80], + "dtype": "float32", + "quantization": { + "min": 0.1652865707874298, + "scale": 0.027933618017271452, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_40/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.2992442846298218, + "scale": 0.00419156878602271, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_40/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -2.384939792109471, + "scale": 0.017035284229353364, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_40/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.06725674867630005, + "scale": 0.002992297387590595, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_41/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -0.8896247265385646, + "scale": 0.013900386352165072, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_41/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.1002823920810925, + "scale": 0.007588154428145465, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_41/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.22883667051792145, + "scale": 0.0062419147468080706, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_42/beta", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.4175063925630906, + "scale": 0.00800851069244684, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_42/moving_mean", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.06603368918101, + "scale": 0.006922296682993571, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_42/moving_variance", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": 0.16725388169288635, + "scale": 0.007173216927285288, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_43/beta", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.2026210822311103, + "scale": 0.006756298214781518, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_43/moving_mean", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.1263628791360294, + "scale": 0.00879970999325023, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_43/moving_variance", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": 0.1858157068490982, + "scale": 0.0035367338680753523, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_44/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.6851831992467243, + "scale": 0.007625263345007803, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_44/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.3855730304531024, + "scale": 0.009968151298223758, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_44/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.23984774947166443, + "scale": 0.004611740509668986, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_45/beta", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.198061533535228, + "scale": 0.009740337671018114, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_45/moving_mean", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.954274336496989, + "scale": 0.022991462782317517, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_45/moving_variance", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": 0.12165232747793198, + "scale": 0.004625043360625997, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_46/beta", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.2301660285276526, + "scale": 0.01079093007480397, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_46/moving_mean", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.2148393953547758, + "scale": 0.008098929302365172, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_46/moving_variance", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": 0.0945582166314125, + "scale": 0.009077410692093418, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_47/beta", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.4696354982899684, + "scale": 0.009481519343806248, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_47/moving_mean", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.1994350405300365, + "scale": 0.007014240003099629, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_47/moving_variance", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": 0.11140790581703186, + "scale": 0.005514528120265288, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_48/beta", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.5309041387894575, + "scale": 0.010206027591929717, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_48/moving_mean", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.9451826843560909, + "scale": 0.012311282812380323, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_48/moving_variance", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": 0.10514998435974121, + "scale": 0.005894911055471383, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_49/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -2.14061705271403, + "scale": 0.010442034403483073, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_49/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -2.2268771409988406, + "scale": 0.014554752555547976, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_49/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.11649957299232483, + "scale": 0.012523744971144434, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_5/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.2072101817411534, + "scale": 0.01676680807973824, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_5/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -12.276217052983302, + "scale": 0.11804054858637791, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_5/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.5460559725761414, + "scale": 0.024879303399254295, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_50/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.4464423656463623, + "scale": 0.00563175964954437, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_50/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -0.8957669398363899, + "scale": 0.0060524793232188505, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_50/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.07341840118169785, + "scale": 0.0036757070936408696, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_51/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.0999449000639074, + "scale": 0.008942641463934206, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_51/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -2.029522571142982, + "scale": 0.011090287274005366, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_51/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.3355939984321594, + "scale": 0.006160175800323487, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_52/beta", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.524581991223728, + "scale": 0.007699909046584485, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_52/moving_mean", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -2.118796606624828, + "scale": 0.013582029529646331, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_52/moving_variance", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": 0.23068301379680634, + "scale": 0.006010897311509824, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_53/beta", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.376077589334226, + "scale": 0.007954205718694948, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_53/moving_mean", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.1059657826143152, + "scale": 0.006912286141339471, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_53/moving_variance", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": 0.23038174211978912, + "scale": 0.0036060267219356463, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_54/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.395288348197937, + "scale": 0.005394561647200117, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_54/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.3039465614393644, + "scale": 0.009118507422652898, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_54/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.21060386300086975, + "scale": 0.0029812921495998607, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_55/beta", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.5728507976905972, + "scale": 0.007748033486160578, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_55/moving_mean", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.1225942415349623, + "scale": 0.00870228094213149, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_55/moving_variance", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": 0.149143785238266, + "scale": 0.0036947704997717166, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_56/beta", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.4110212517719645, + "scale": 0.007882800289228852, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_56/moving_mean", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.3976049315695669, + "scale": 0.010508307756162157, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_56/moving_variance", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": 0.16969893872737885, + "scale": 0.005670124467681436, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_57/beta", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -2.037970177566304, + "scale": 0.008938465691080281, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_57/moving_mean", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -2.0804866949717207, + "scale": 0.012238157029245415, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_57/moving_variance", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": 0.3031127452850342, + "scale": 0.009343819524727615, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_58/beta", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.1626297235488892, + "scale": 0.008018136024475098, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_58/moving_mean", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": -1.1574389139811199, + "scale": 0.00890337626139323, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_58/moving_variance", + "shape": [160], + "dtype": "float32", + "quantization": { + "min": 0.20891253650188446, + "scale": 0.008950928437943552, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_59/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.5612965036841, + "scale": 0.008578552218044506, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_59/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -2.9308635936063876, + "scale": 0.01526491455003327, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_59/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.35770270228385925, + "scale": 0.015598084061753515, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_6/beta", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -0.4988247050958522, + "scale": 0.018474989077624154, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_6/moving_mean", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -4.639463159149768, + "scale": 0.0473414608076507, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_6/moving_variance", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": 0.5386254787445068, + "scale": 0.025258790745454677, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_60/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.5135674476623535, + "scale": 0.0047089920324437755, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_60/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.219797550346337, + "scale": 0.006386374609143126, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_60/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.13531571626663208, + "scale": 0.002973755434447644, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_61/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.5758512195418863, + "scale": 0.006677335676024942, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_61/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.3910136437883565, + "scale": 0.008040541293574314, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_61/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.27678921818733215, + "scale": 0.005867989741119684, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_62/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.7731781005859375, + "scale": 0.005797953932893042, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_62/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.1186937569403181, + "scale": 0.006180628491382973, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_62/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.2029876708984375, + "scale": 0.003584029627781288, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_63/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.1662906955270207, + "scale": 0.007199325281030991, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_63/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -0.5863659428615197, + "scale": 0.005235410204120711, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_63/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.09435708075761795, + "scale": 0.0028266684389581867, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_64/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -2.0544645720837162, + "scale": 0.018343433679318896, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_64/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -2.3606223686068666, + "scale": 0.011803111843034333, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_64/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.24856248497962952, + "scale": 0.017925596587798173, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_65/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.5397444839571037, + "scale": 0.007474487786199533, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_65/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.0257711017833036, + "scale": 0.007770993195328058, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_65/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.18295010924339294, + "scale": 0.002770194937201107, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_66/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.5399934053421023, + "scale": 0.009058784737306484, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_66/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.2256995402130426, + "scale": 0.007959087923461316, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_66/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.2300872653722763, + "scale": 0.004644319648836173, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_67/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.5030710697174072, + "scale": 0.005584524601113562, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_67/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.4341935107520982, + "scale": 0.0067971256433748736, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_67/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.13089387118816376, + "scale": 0.0026349552121816898, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_68/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.1063206609557656, + "scale": 0.005853548470665427, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_68/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.067355478511137, + "scale": 0.010165290271534639, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_68/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.15702544152736664, + "scale": 0.0025017112493515015, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_69/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -2.2159725623972277, + "scale": 0.012958903873667998, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_69/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -2.008986711502075, + "scale": 0.006804025056315404, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_69/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.3119298219680786, + "scale": 0.012169442924798704, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_7/beta", + "shape": [48], + "dtype": "float32", + "quantization": { + "min": -0.6259138478952295, + "scale": 0.009629443813772762, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_7/moving_mean", + "shape": [48], + "dtype": "float32", + "quantization": { + "min": -2.1740409458384793, + "scale": 0.019945329778334672, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_7/moving_variance", + "shape": [48], + "dtype": "float32", + "quantization": { + "min": 0.3680301010608673, + "scale": 0.014270223238888909, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_70/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.865909457206726, + "scale": 0.004504433332705031, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_70/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.1317527546602135, + "scale": 0.0050524676547330965, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_70/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.11138727515935898, + "scale": 0.0026711427990128013, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_71/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.6039793491363525, + "scale": 0.005784372196478003, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_71/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -0.47732780867931884, + "scale": 0.004920905244116689, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_71/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.037272851914167404, + "scale": 0.0005219906714617037, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_72/beta", + "shape": [320], + "dtype": "float32", + "quantization": { + "min": -1.540266954197603, + "scale": 0.009223155414356905, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_72/moving_mean", + "shape": [320], + "dtype": "float32", + "quantization": { + "min": -2.0190852207296035, + "scale": 0.010461581454557532, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_72/moving_variance", + "shape": [320], + "dtype": "float32", + "quantization": { + "min": 0.06347450613975525, + "scale": 0.003608025172177483, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_73/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -0.985390640707577, + "scale": 0.012633213342404833, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_73/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -0.9022618592954149, + "scale": 0.010491416968551336, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_73/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.03170640394091606, + "scale": 0.0026475690889592265, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_74/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.0769996951608096, + "scale": 0.015608691234214633, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_74/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.7473176166123034, + "scale": 0.012570630335340312, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_74/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.13737867772579193, + "scale": 0.006850161330372679, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_75/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.4387849751640769, + "scale": 0.007653111570021685, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_75/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -2.253594519110287, + "scale": 0.017469724954343308, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_75/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.17224669456481934, + "scale": 0.014315306906606637, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_76/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.6436317995482799, + "scale": 0.012265908951852835, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_76/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.6223250557394588, + "scale": 0.009012916976330327, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_76/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.10091816633939743, + "scale": 0.024782416896492826, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_77/beta", + "shape": [320], + "dtype": "float32", + "quantization": { + "min": -1.6236799055454778, + "scale": 0.008776648138083664, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_77/moving_mean", + "shape": [320], + "dtype": "float32", + "quantization": { + "min": -2.9638912789961873, + "scale": 0.017033857925265444, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_77/moving_variance", + "shape": [320], + "dtype": "float32", + "quantization": { + "min": 0.11361116915941238, + "scale": 0.023207617945530834, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_78/beta", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -1.4153826966005212, + "scale": 0.008277091792985504, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_78/moving_mean", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -0.9769486890119664, + "scale": 0.00707933832617367, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_78/moving_variance", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": 0.19088256359100342, + "scale": 0.0073945882273655315, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_79/beta", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -2.0473411083221436, + "scale": 0.004208615013197356, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_79/moving_mean", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -0.7610570852663003, + "scale": 0.0033089438489839144, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_79/moving_variance", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": 0.05480360612273216, + "scale": 0.001661744786828172, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_8/beta", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -1.2169222845750698, + "scale": 0.021349513764474908, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_8/moving_mean", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -7.352502991171444, + "scale": 0.03551933812160118, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_8/moving_variance", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": 1.2515424489974976, + "scale": 0.03510500449760287, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_80/beta", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -1.7098569869995117, + "scale": 0.003118572515599868, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_80/moving_mean", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -0.7364731842980665, + "scale": 0.003425456671153798, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_80/moving_variance", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": 0.06618082523345947, + "scale": 0.0018710627275354721, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_81/beta", + "shape": [448], + "dtype": "float32", + "quantization": { + "min": -1.869015963054171, + "scale": 0.008693097502577539, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_81/moving_mean", + "shape": [448], + "dtype": "float32", + "quantization": { + "min": -1.1766659362643372, + "scale": 0.008286379832847445, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_81/moving_variance", + "shape": [448], + "dtype": "float32", + "quantization": { + "min": 0.14993160963058472, + "scale": 0.004515989387736601, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_82/beta", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -1.3327109813690183, + "scale": 0.008710529289993585, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_82/moving_mean", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -1.1086185679716223, + "scale": 0.008940472322351792, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_82/moving_variance", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": 0.21444351971149445, + "scale": 0.011961153149604798, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_83/beta", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -1.818679837619557, + "scale": 0.015412540996775907, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_83/moving_mean", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -2.0038957876317642, + "scale": 0.012845485818152334, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_83/moving_variance", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": 0.07089755684137344, + "scale": 0.02103717663124496, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_84/beta", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -1.7786205541853812, + "scale": 0.008158809881584317, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_84/moving_mean", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -1.3955397058935726, + "scale": 0.01722888525794534, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_84/moving_variance", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": 0.07342959940433502, + "scale": 0.011137770613034566, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_85/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.178499460220337, + "scale": 0.0028658638982211842, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_85/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -1.690884064693077, + "scale": 0.010186048582488415, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_85/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.14086772501468658, + "scale": 0.00910748775098838, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_86/beta", + "shape": [320], + "dtype": "float32", + "quantization": { + "min": -0.5220519305736411, + "scale": 0.0020882077222945643, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_86/moving_mean", + "shape": [320], + "dtype": "float32", + "quantization": { + "min": -0.5231765800831365, + "scale": 0.0036081143454009413, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_86/moving_variance", + "shape": [320], + "dtype": "float32", + "quantization": { + "min": 0.11893065273761749, + "scale": 0.005666278098143783, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_87/beta", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -1.984124174889396, + "scale": 0.008818329666175094, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_87/moving_mean", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -0.5652224242687225, + "scale": 0.0036942642109066832, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_87/moving_variance", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": 0.06085425242781639, + "scale": 0.03796012239421115, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_88/beta", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -0.3602467477321625, + "scale": 0.001247984813708885, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_88/moving_mean", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -0.0991711297455956, + "scale": 0.0008549235322896172, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_88/moving_variance", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": 0.021573534235358238, + "scale": 0.0022643732454846886, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_89/beta", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -0.29050213098526, + "scale": 0.0009703184897993125, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_89/moving_mean", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -0.12789016552999907, + "scale": 0.0010231213242399926, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_89/moving_variance", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": 0.01962556503713131, + "scale": 0.002291068997161061, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_9/beta", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -1.2553448396570541, + "scale": 0.017435344995236864, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_9/moving_mean", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": -9.159099926668056, + "scale": 0.05174632726931105, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_9/moving_variance", + "shape": [64], + "dtype": "float32", + "quantization": { + "min": 0.36967048048973083, + "scale": 0.022706968293470495, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_90/beta", + "shape": [448], + "dtype": "float32", + "quantization": { + "min": -1.9150965461543963, + "scale": 0.008825329705780628, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_90/moving_mean", + "shape": [448], + "dtype": "float32", + "quantization": { + "min": -1.0748392633363313, + "scale": 0.011080817147797229, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_90/moving_variance", + "shape": [448], + "dtype": "float32", + "quantization": { + "min": 0.058019232004880905, + "scale": 0.03696253692694739, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_91/beta", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -1.4989316603716683, + "scale": 0.016117544735179228, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_91/moving_mean", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -1.0672029087356492, + "scale": 0.0048954261868607764, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_91/moving_variance", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": 0.04761062562465668, + "scale": 0.02329025134152057, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_92/beta", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -0.4021552567680677, + "scale": 0.0018197070441994014, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_92/moving_mean", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -0.2961117188135783, + "scale": 0.0027935067812601727, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_92/moving_variance", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": 0.3863965570926666, + "scale": 0.02258765405299617, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_93/beta", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -0.4592238664627075, + "scale": 0.0011769139883564968, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_93/moving_mean", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": -0.29778090224546544, + "scale": 0.0027572305763469023, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_93/moving_variance", + "shape": [384], + "dtype": "float32", + "quantization": { + "min": 0.3583631217479706, + "scale": 0.01633430754437166, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_94/beta", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -0.314007496249442, + "scale": 0.0017640870575811349, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_94/moving_mean", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": -0.7145729660987854, + "scale": 0.004203370388816385, + "dtype": "uint8" + } + }, + { + "name": "batch_normalization_94/moving_variance", + "shape": [192], + "dtype": "float32", + "quantization": { + "min": 0.11457707732915878, + "scale": 0.008541139814199185, + "dtype": "uint8" + } + }, + { + "name": "conv2d_1/kernel", + "shape": [3, 3, 3, 32], + "dtype": "float32", + "quantization": { + "min": -0.7515598654747009, + "scale": 0.006423588593800863, + "dtype": "uint8" + } + }, + { + "name": "conv2d_10/kernel", + "shape": [3, 3, 64, 96], + "dtype": "float32", + "quantization": { + "min": -0.5314577747793758, + "scale": 0.004088136729072122, + "dtype": "uint8" + } + }, + { + "name": "conv2d_11/kernel", + "shape": [3, 3, 96, 96], + "dtype": "float32", + "quantization": { + "min": -0.297173446299983, + "scale": 0.0027015767845453, + "dtype": "uint8" + } + }, + { + "name": "conv2d_12/kernel", + "shape": [1, 1, 192, 32], + "dtype": "float32", + "quantization": { + "min": -0.6043872510685641, + "scale": 0.003874277250439513, + "dtype": "uint8" + } + }, + { + "name": "conv2d_13/kernel", + "shape": [1, 1, 256, 64], + "dtype": "float32", + "quantization": { + "min": -0.6367825031280518, + "scale": 0.005489504337310791, + "dtype": "uint8" + } + }, + { + "name": "conv2d_14/kernel", + "shape": [1, 1, 256, 48], + "dtype": "float32", + "quantization": { + "min": -0.6980268389570946, + "scale": 0.004256261213153016, + "dtype": "uint8" + } + }, + { + "name": "conv2d_15/kernel", + "shape": [5, 5, 48, 64], + "dtype": "float32", + "quantization": { + "min": -0.37809036514338323, + "scale": 0.0034062195057962454, + "dtype": "uint8" + } + }, + { + "name": "conv2d_16/kernel", + "shape": [1, 1, 256, 64], + "dtype": "float32", + "quantization": { + "min": -0.38000125464271095, + "scale": 0.002945746160021015, + "dtype": "uint8" + } + }, + { + "name": "conv2d_17/kernel", + "shape": [3, 3, 64, 96], + "dtype": "float32", + "quantization": { + "min": -0.36159335772196455, + "scale": 0.002658774689132092, + "dtype": "uint8" + } + }, + { + "name": "conv2d_18/kernel", + "shape": [3, 3, 96, 96], + "dtype": "float32", + "quantization": { + "min": -0.322937131395527, + "scale": 0.0025229463390275546, + "dtype": "uint8" + } + }, + { + "name": "conv2d_19/kernel", + "shape": [1, 1, 256, 64], + "dtype": "float32", + "quantization": { + "min": -0.49620920665123885, + "scale": 0.0037308962906108184, + "dtype": "uint8" + } + }, + { + "name": "conv2d_2/kernel", + "shape": [3, 3, 32, 32], + "dtype": "float32", + "quantization": { + "min": -0.9963670036372017, + "scale": 0.00784540947745828, + "dtype": "uint8" + } + }, + { + "name": "conv2d_20/kernel", + "shape": [1, 1, 288, 64], + "dtype": "float32", + "quantization": { + "min": -0.9467216884388643, + "scale": 0.005954224455590342, + "dtype": "uint8" + } + }, + { + "name": "conv2d_21/kernel", + "shape": [1, 1, 288, 48], + "dtype": "float32", + "quantization": { + "min": -0.36753161491132247, + "scale": 0.0028939497237112006, + "dtype": "uint8" + } + }, + { + "name": "conv2d_22/kernel", + "shape": [5, 5, 48, 64], + "dtype": "float32", + "quantization": { + "min": -0.28142107234281655, + "scale": 0.0023451756028568045, + "dtype": "uint8" + } + }, + { + "name": "conv2d_23/kernel", + "shape": [1, 1, 288, 64], + "dtype": "float32", + "quantization": { + "min": -0.5600246597738827, + "scale": 0.004912497015560374, + "dtype": "uint8" + } + }, + { + "name": "conv2d_24/kernel", + "shape": [3, 3, 64, 96], + "dtype": "float32", + "quantization": { + "min": -0.40741646079456106, + "scale": 0.0032334639745600084, + "dtype": "uint8" + } + }, + { + "name": "conv2d_25/kernel", + "shape": [3, 3, 96, 96], + "dtype": "float32", + "quantization": { + "min": -0.2517923231218375, + "scale": 0.0026786417353386973, + "dtype": "uint8" + } + }, + { + "name": "conv2d_26/kernel", + "shape": [1, 1, 288, 64], + "dtype": "float32", + "quantization": { + "min": -0.40744167694858474, + "scale": 0.00420042965926376, + "dtype": "uint8" + } + }, + { + "name": "conv2d_27/kernel", + "shape": [3, 3, 288, 384], + "dtype": "float32", + "quantization": { + "min": -0.17904583583859837, + "scale": 0.0023872778111813115, + "dtype": "uint8" + } + }, + { + "name": "conv2d_28/kernel", + "shape": [1, 1, 288, 64], + "dtype": "float32", + "quantization": { + "min": -0.3550921758015951, + "scale": 0.0030092557271321615, + "dtype": "uint8" + } + }, + { + "name": "conv2d_29/kernel", + "shape": [3, 3, 64, 96], + "dtype": "float32", + "quantization": { + "min": -0.21044881904826443, + "scale": 0.0021044881904826443, + "dtype": "uint8" + } + }, + { + "name": "conv2d_3/kernel", + "shape": [3, 3, 32, 64], + "dtype": "float32", + "quantization": { + "min": -0.9826949535631666, + "scale": 0.006920386996923708, + "dtype": "uint8" + } + }, + { + "name": "conv2d_30/kernel", + "shape": [3, 3, 96, 96], + "dtype": "float32", + "quantization": { + "min": -0.142222724182933, + "scale": 0.0013291843381582522, + "dtype": "uint8" + } + }, + { + "name": "conv2d_31/kernel", + "shape": [1, 1, 768, 192], + "dtype": "float32", + "quantization": { + "min": -0.6299613606696035, + "scale": 0.004736551583981981, + "dtype": "uint8" + } + }, + { + "name": "conv2d_32/kernel", + "shape": [1, 1, 768, 128], + "dtype": "float32", + "quantization": { + "min": -0.28287766400505515, + "scale": 0.0029466423333859913, + "dtype": "uint8" + } + }, + { + "name": "conv2d_33/kernel", + "shape": [1, 7, 128, 128], + "dtype": "float32", + "quantization": { + "min": -0.37715829119962807, + "scale": 0.003308406063154632, + "dtype": "uint8" + } + }, + { + "name": "conv2d_34/kernel", + "shape": [7, 1, 128, 192], + "dtype": "float32", + "quantization": { + "min": -0.2915347753786573, + "scale": 0.002602989065880869, + "dtype": "uint8" + } + }, + { + "name": "conv2d_35/kernel", + "shape": [1, 1, 768, 128], + "dtype": "float32", + "quantization": { + "min": -0.5098388725636052, + "scale": 0.0034217373997557396, + "dtype": "uint8" + } + }, + { + "name": "conv2d_36/kernel", + "shape": [7, 1, 128, 128], + "dtype": "float32", + "quantization": { + "min": -0.29266455173492434, + "scale": 0.002956207593282064, + "dtype": "uint8" + } + }, + { + "name": "conv2d_37/kernel", + "shape": [1, 7, 128, 128], + "dtype": "float32", + "quantization": { + "min": -0.3063901633608575, + "scale": 0.002664262290094413, + "dtype": "uint8" + } + }, + { + "name": "conv2d_38/kernel", + "shape": [7, 1, 128, 128], + "dtype": "float32", + "quantization": { + "min": -0.2562146642628838, + "scale": 0.002227953602285946, + "dtype": "uint8" + } + }, + { + "name": "conv2d_39/kernel", + "shape": [1, 7, 128, 192], + "dtype": "float32", + "quantization": { + "min": -0.32483990402782664, + "scale": 0.0024062215113172343, + "dtype": "uint8" + } + }, + { + "name": "conv2d_4/kernel", + "shape": [1, 1, 64, 80], + "dtype": "float32", + "quantization": { + "min": -1.0175340128879922, + "scale": 0.008771844938689587, + "dtype": "uint8" + } + }, + { + "name": "conv2d_40/kernel", + "shape": [1, 1, 768, 192], + "dtype": "float32", + "quantization": { + "min": -0.5300707817077637, + "scale": 0.003897579277262968, + "dtype": "uint8" + } + }, + { + "name": "conv2d_41/kernel", + "shape": [1, 1, 768, 192], + "dtype": "float32", + "quantization": { + "min": -0.4742822464774637, + "scale": 0.0037345058777753046, + "dtype": "uint8" + } + }, + { + "name": "conv2d_42/kernel", + "shape": [1, 1, 768, 160], + "dtype": "float32", + "quantization": { + "min": -0.4733707100737329, + "scale": 0.004080781983394249, + "dtype": "uint8" + } + }, + { + "name": "conv2d_43/kernel", + "shape": [1, 7, 160, 160], + "dtype": "float32", + "quantization": { + "min": -0.31529887493918923, + "scale": 0.0028405304048575606, + "dtype": "uint8" + } + }, + { + "name": "conv2d_44/kernel", + "shape": [7, 1, 160, 192], + "dtype": "float32", + "quantization": { + "min": -0.2984846812837264, + "scale": 0.0025955189676845777, + "dtype": "uint8" + } + }, + { + "name": "conv2d_45/kernel", + "shape": [1, 1, 768, 160], + "dtype": "float32", + "quantization": { + "min": -0.756424422825084, + "scale": 0.0054813363972832175, + "dtype": "uint8" + } + }, + { + "name": "conv2d_46/kernel", + "shape": [7, 1, 160, 160], + "dtype": "float32", + "quantization": { + "min": -0.3355672222726485, + "scale": 0.0028680959168602437, + "dtype": "uint8" + } + }, + { + "name": "conv2d_47/kernel", + "shape": [1, 7, 160, 160], + "dtype": "float32", + "quantization": { + "min": -0.22706727812103197, + "scale": 0.002122124094589084, + "dtype": "uint8" + } + }, + { + "name": "conv2d_48/kernel", + "shape": [7, 1, 160, 160], + "dtype": "float32", + "quantization": { + "min": -0.2144267187983382, + "scale": 0.002257123355771981, + "dtype": "uint8" + } + }, + { + "name": "conv2d_49/kernel", + "shape": [1, 7, 160, 192], + "dtype": "float32", + "quantization": { + "min": -0.3024808161398944, + "scale": 0.002585306120853798, + "dtype": "uint8" + } + }, + { + "name": "conv2d_5/kernel", + "shape": [3, 3, 80, 192], + "dtype": "float32", + "quantization": { + "min": -0.5794109293058807, + "scale": 0.005267372084598915, + "dtype": "uint8" + } + }, + { + "name": "conv2d_50/kernel", + "shape": [1, 1, 768, 192], + "dtype": "float32", + "quantization": { + "min": -0.554896311900195, + "scale": 0.0038006596705492807, + "dtype": "uint8" + } + }, + { + "name": "conv2d_51/kernel", + "shape": [1, 1, 768, 192], + "dtype": "float32", + "quantization": { + "min": -1.2061398295795216, + "scale": 0.006931838101031733, + "dtype": "uint8" + } + }, + { + "name": "conv2d_52/kernel", + "shape": [1, 1, 768, 160], + "dtype": "float32", + "quantization": { + "min": -0.3730403196577932, + "scale": 0.0028695409204445633, + "dtype": "uint8" + } + }, + { + "name": "conv2d_53/kernel", + "shape": [1, 7, 160, 160], + "dtype": "float32", + "quantization": { + "min": -0.3463286845123067, + "scale": 0.003011553778367884, + "dtype": "uint8" + } + }, + { + "name": "conv2d_54/kernel", + "shape": [7, 1, 160, 192], + "dtype": "float32", + "quantization": { + "min": -0.37797666168680377, + "scale": 0.0027589537349401736, + "dtype": "uint8" + } + }, + { + "name": "conv2d_55/kernel", + "shape": [1, 1, 768, 160], + "dtype": "float32", + "quantization": { + "min": -0.4141439642391953, + "scale": 0.004989686316134883, + "dtype": "uint8" + } + }, + { + "name": "conv2d_56/kernel", + "shape": [7, 1, 160, 160], + "dtype": "float32", + "quantization": { + "min": -0.3559323572645, + "scale": 0.0032357487024045456, + "dtype": "uint8" + } + }, + { + "name": "conv2d_57/kernel", + "shape": [1, 7, 160, 160], + "dtype": "float32", + "quantization": { + "min": -0.2674277156007056, + "scale": 0.0026742771560070563, + "dtype": "uint8" + } + }, + { + "name": "conv2d_58/kernel", + "shape": [7, 1, 160, 160], + "dtype": "float32", + "quantization": { + "min": -0.5307076104715759, + "scale": 0.0035617960434333952, + "dtype": "uint8" + } + }, + { + "name": "conv2d_59/kernel", + "shape": [1, 7, 160, 192], + "dtype": "float32", + "quantization": { + "min": -0.4569946948219748, + "scale": 0.0036854410872739904, + "dtype": "uint8" + } + }, + { + "name": "conv2d_6/kernel", + "shape": [1, 1, 192, 64], + "dtype": "float32", + "quantization": { + "min": -0.670501438776652, + "scale": 0.005634465872072706, + "dtype": "uint8" + } + }, + { + "name": "conv2d_60/kernel", + "shape": [1, 1, 768, 192], + "dtype": "float32", + "quantization": { + "min": -0.7935055354062248, + "scale": 0.004408364085590138, + "dtype": "uint8" + } + }, + { + "name": "conv2d_61/kernel", + "shape": [1, 1, 768, 192], + "dtype": "float32", + "quantization": { + "min": -1.0109173382029812, + "scale": 0.006053397234748391, + "dtype": "uint8" + } + }, + { + "name": "conv2d_62/kernel", + "shape": [1, 1, 768, 192], + "dtype": "float32", + "quantization": { + "min": -0.41344635837218335, + "scale": 0.004645464700811049, + "dtype": "uint8" + } + }, + { + "name": "conv2d_63/kernel", + "shape": [1, 7, 192, 192], + "dtype": "float32", + "quantization": { + "min": -0.24348092184347264, + "scale": 0.004508905960064308, + "dtype": "uint8" + } + }, + { + "name": "conv2d_64/kernel", + "shape": [7, 1, 192, 192], + "dtype": "float32", + "quantization": { + "min": -0.4806287989896886, + "scale": 0.004005239991580738, + "dtype": "uint8" + } + }, + { + "name": "conv2d_65/kernel", + "shape": [1, 1, 768, 192], + "dtype": "float32", + "quantization": { + "min": -0.3917752130358827, + "scale": 0.0030136554848914053, + "dtype": "uint8" + } + }, + { + "name": "conv2d_66/kernel", + "shape": [7, 1, 192, 192], + "dtype": "float32", + "quantization": { + "min": -0.20425691803296406, + "scale": 0.002172945936520894, + "dtype": "uint8" + } + }, + { + "name": "conv2d_67/kernel", + "shape": [1, 7, 192, 192], + "dtype": "float32", + "quantization": { + "min": -0.22208931896032072, + "scale": 0.0019312114692201802, + "dtype": "uint8" + } + }, + { + "name": "conv2d_68/kernel", + "shape": [7, 1, 192, 192], + "dtype": "float32", + "quantization": { + "min": -0.1574226176037508, + "scale": 0.0016063532408546, + "dtype": "uint8" + } + }, + { + "name": "conv2d_69/kernel", + "shape": [1, 7, 192, 192], + "dtype": "float32", + "quantization": { + "min": -0.1563245475292206, + "scale": 0.0015951484441757203, + "dtype": "uint8" + } + }, + { + "name": "conv2d_7/kernel", + "shape": [1, 1, 192, 48], + "dtype": "float32", + "quantization": { + "min": -0.6889615984523997, + "scale": 0.005467949194066664, + "dtype": "uint8" + } + }, + { + "name": "conv2d_70/kernel", + "shape": [1, 1, 768, 192], + "dtype": "float32", + "quantization": { + "min": -0.5254201654125663, + "scale": 0.003574286839541267, + "dtype": "uint8" + } + }, + { + "name": "conv2d_71/kernel", + "shape": [1, 1, 768, 192], + "dtype": "float32", + "quantization": { + "min": -0.14087693007553326, + "scale": 0.001394821089856765, + "dtype": "uint8" + } + }, + { + "name": "conv2d_72/kernel", + "shape": [3, 3, 192, 320], + "dtype": "float32", + "quantization": { + "min": -0.1017690990485397, + "scale": 0.0009785490293128818, + "dtype": "uint8" + } + }, + { + "name": "conv2d_73/kernel", + "shape": [1, 1, 768, 192], + "dtype": "float32", + "quantization": { + "min": -0.27043156717337813, + "scale": 0.0035120982749789367, + "dtype": "uint8" + } + }, + { + "name": "conv2d_74/kernel", + "shape": [1, 7, 192, 192], + "dtype": "float32", + "quantization": { + "min": -0.1989350945341821, + "scale": 0.0017762062011980543, + "dtype": "uint8" + } + }, + { + "name": "conv2d_75/kernel", + "shape": [7, 1, 192, 192], + "dtype": "float32", + "quantization": { + "min": -0.21929225535953745, + "scale": 0.0017828638647116866, + "dtype": "uint8" + } + }, + { + "name": "conv2d_76/kernel", + "shape": [3, 3, 192, 192], + "dtype": "float32", + "quantization": { + "min": -0.31502492287579703, + "scale": 0.003316051819745232, + "dtype": "uint8" + } + }, + { + "name": "conv2d_77/kernel", + "shape": [1, 1, 1280, 320], + "dtype": "float32", + "quantization": { + "min": -0.2736586353358101, + "scale": 0.0035084440427667956, + "dtype": "uint8" + } + }, + { + "name": "conv2d_78/kernel", + "shape": [1, 1, 1280, 384], + "dtype": "float32", + "quantization": { + "min": -0.24273421998117484, + "scale": 0.0021672698212604896, + "dtype": "uint8" + } + }, + { + "name": "conv2d_79/kernel", + "shape": [1, 3, 384, 384], + "dtype": "float32", + "quantization": { + "min": -0.1003472120738497, + "scale": 0.0010239511436107112, + "dtype": "uint8" + } + }, + { + "name": "conv2d_8/kernel", + "shape": [5, 5, 48, 64], + "dtype": "float32", + "quantization": { + "min": -0.8959833215264714, + "scale": 0.007859502820407644, + "dtype": "uint8" + } + }, + { + "name": "conv2d_80/kernel", + "shape": [3, 1, 384, 384], + "dtype": "float32", + "quantization": { + "min": -0.12109428144553128, + "scale": 0.0013307063895113328, + "dtype": "uint8" + } + }, + { + "name": "conv2d_81/kernel", + "shape": [1, 1, 1280, 448], + "dtype": "float32", + "quantization": { + "min": -0.3801819539537617, + "scale": 0.004271707347795075, + "dtype": "uint8" + } + }, + { + "name": "conv2d_82/kernel", + "shape": [3, 3, 448, 384], + "dtype": "float32", + "quantization": { + "min": -0.23576255931573753, + "scale": 0.0026195839923970838, + "dtype": "uint8" + } + }, + { + "name": "conv2d_83/kernel", + "shape": [1, 3, 384, 384], + "dtype": "float32", + "quantization": { + "min": -1.244973014382755, + "scale": 0.007454928229836857, + "dtype": "uint8" + } + }, + { + "name": "conv2d_84/kernel", + "shape": [3, 1, 384, 384], + "dtype": "float32", + "quantization": { + "min": -0.25950103998184204, + "scale": 0.003052953411551083, + "dtype": "uint8" + } + }, + { + "name": "conv2d_85/kernel", + "shape": [1, 1, 1280, 192], + "dtype": "float32", + "quantization": { + "min": -0.29392333416377797, + "scale": 0.0026479579654394413, + "dtype": "uint8" + } + }, + { + "name": "conv2d_86/kernel", + "shape": [1, 1, 2048, 320], + "dtype": "float32", + "quantization": { + "min": -0.13341370236639882, + "scale": 0.0018028878698162004, + "dtype": "uint8" + } + }, + { + "name": "conv2d_87/kernel", + "shape": [1, 1, 2048, 384], + "dtype": "float32", + "quantization": { + "min": -0.7490756504675922, + "scale": 0.004512503918479471, + "dtype": "uint8" + } + }, + { + "name": "conv2d_88/kernel", + "shape": [1, 3, 384, 384], + "dtype": "float32", + "quantization": { + "min": -0.04267277524751775, + "scale": 0.0009482838943892834, + "dtype": "uint8" + } + }, + { + "name": "conv2d_89/kernel", + "shape": [3, 1, 384, 384], + "dtype": "float32", + "quantization": { + "min": -0.044487313663258275, + "scale": 0.0009671155144186581, + "dtype": "uint8" + } + }, + { + "name": "conv2d_9/kernel", + "shape": [1, 1, 192, 64], + "dtype": "float32", + "quantization": { + "min": -0.4946352222386528, + "scale": 0.004191823917276719, + "dtype": "uint8" + } + }, + { + "name": "conv2d_90/kernel", + "shape": [1, 1, 2048, 448], + "dtype": "float32", + "quantization": { + "min": -0.7601351137254753, + "scale": 0.007836444471396652, + "dtype": "uint8" + } + }, + { + "name": "conv2d_91/kernel", + "shape": [3, 3, 448, 384], + "dtype": "float32", + "quantization": { + "min": -0.31073258086746813, + "scale": 0.0023902506220574472, + "dtype": "uint8" + } + }, + { + "name": "conv2d_92/kernel", + "shape": [1, 3, 384, 384], + "dtype": "float32", + "quantization": { + "min": -0.09287645027917973, + "scale": 0.000938145962415957, + "dtype": "uint8" + } + }, + { + "name": "conv2d_93/kernel", + "shape": [3, 1, 384, 384], + "dtype": "float32", + "quantization": { + "min": -0.061754796522505144, + "scale": 0.0007917281605449377, + "dtype": "uint8" + } + }, + { + "name": "conv2d_94/kernel", + "shape": [1, 1, 2048, 192], + "dtype": "float32", + "quantization": { + "min": -0.31682243709470714, + "scale": 0.002382123587178249, + "dtype": "uint8" + } + }, + { + "name": "dense_1/kernel", + "shape": [2048, 256], + "dtype": "float32", + "quantization": { + "min": -0.0752635091251018, + "scale": 0.0008456574059000202, + "dtype": "uint8" + } + }, + { + "name": "dense_1/bias", + "shape": [256], + "dtype": "float32", + "quantization": { + "min": -0.4126813895562116, + "scale": 0.0029904448518566057, + "dtype": "uint8" + } + }, + { + "name": "dense_2/kernel", + "shape": [256, 128], + "dtype": "float32", + "quantization": { + "min": -0.41079130803837494, + "scale": 0.003065606776405783, + "dtype": "uint8" + } + }, + { + "name": "dense_2/bias", + "shape": [128], + "dtype": "float32", + "quantization": { + "min": -0.17716065984146268, + "scale": 0.003221102906208412, + "dtype": "uint8" + } + }, + { + "name": "dense_3/kernel", + "shape": [128, 5], + "dtype": "float32", + "quantization": { + "min": -0.692766010761261, + "scale": 0.00461844007174174, + "dtype": "uint8" + } + }, + { + "name": "dense_3/bias", + "shape": [5], + "dtype": "float32", + "quantization": { + "min": -0.5889016270637512, + "scale": 0.00384903024224674, + "dtype": "uint8" + } + } + ] + } + ] +} diff --git a/packages/backend/package.json b/packages/backend/package.json index 7e241098c3..ea9a5c55d1 100644 --- a/packages/backend/package.json +++ b/packages/backend/package.json @@ -16,19 +16,19 @@ "build": "pnpm swc src -d built -D", "build:debug": "pnpm swc src -d built -s -D", "watch": "pnpm swc src -d built -D -w", - "lint": "pnpm rome check --apply *", + "lint": "pnpm biome check --apply **/*.ts ; pnpm run format", "mocha": "cross-env NODE_ENV=test TS_NODE_FILES=true TS_NODE_TRANSPILE_ONLY=true TS_NODE_PROJECT=\"./test/tsconfig.json\" mocha", "test": "pnpm run mocha", - "format": "pnpm rome format * --write" + "format": "pnpm biome format * --write" }, "optionalDependencies": { "@swc/core-android-arm64": "1.3.11", "@tensorflow/tfjs-node": "3.21.1" }, "dependencies": { - "@bull-board/api": "5.7.2", - "@bull-board/koa": "5.7.2", - "@bull-board/ui": "5.7.2", + "@bull-board/api": "5.8.0", + "@bull-board/koa": "5.8.0", + "@bull-board/ui": "5.8.0", "@discordapp/twemoji": "14.1.2", "@elastic/elasticsearch": "7.17.0", "@koa/cors": "3.4.3", @@ -41,17 +41,16 @@ "@tensorflow/tfjs": "^4.2.0", "adm-zip": "^0.5.10", "ajv": "8.12.0", - "archiver": "5.3.1", - "argon2": "^0.30.3", + "archiver": "6.0.0", + "argon2": "^0.31.1", "autolinker": "4.0.0", "autwh": "0.1.0", "aws-sdk": "2.1413.0", "axios": "^1.4.0", "bcryptjs": "2.4.3", "blurhash": "2.0.5", - "bull": "4.11.2", - "cacheable-lookup": "7.0.0", - "cbor": "8.1.0", + "bull": "4.11.3", + "cacheable-lookup": "TheEssem/cacheable-lookup", "chalk": "5.3.0", "chalk-template": "0.4.0", "chokidar": "^3.5.3", @@ -63,19 +62,19 @@ "deep-email-validator": "0.1.21", "escape-regexp": "0.0.1", "feed": "4.2.2", - "file-type": "17.1.6", + "file-type": "18.5.0", "firefish-js": "workspace:*", "fluent-ffmpeg": "2.1.2", - "got": "12.5.3", + "got": "13.0.0", "gunzip-maybe": "^1.4.2", - "hpagent": "0.1.2", + "hpagent": "1.2.0", "ioredis": "5.3.2", "ip-cidr": "3.1.0", - "is-svg": "4.3.2", + "is-svg": "5.0.0", "js-yaml": "4.1.0", - "jsdom": "20.0.3", + "jsdom": "22.1.0", "json5": "2.2.3", - "jsonld": "8.2.0", + "jsonld": "8.2.1", "jsrsasign": "10.8.6", "koa": "2.14.2", "koa-body": "^6.0.1", @@ -89,10 +88,10 @@ "koa-slow": "2.1.0", "koa-views": "7.0.2", "megalodon": "workspace:*", - "meilisearch": "0.33.0", + "meilisearch": "0.34.1", "mfm-js": "0.23.3", "mime-types": "2.1.35", - "msgpackr": "1.9.6", + "msgpackr": "1.9.7", "multer": "1.4.4-lts.1", "native-utils": "link:native-utils", "nested-property": "4.0.0", @@ -100,22 +99,22 @@ "nodemailer": "6.9.4", "nsfwjs": "2.4.2", "oauth": "^0.10.0", + "opencc-js": "^1.0.5", "os-utils": "0.0.14", "otpauth": "^9.1.4", "parse5": "7.1.2", - "pg": "8.11.2", - "private-ip": "2.3.4", + "pg": "8.11.3", + "private-ip": "3.0.1", "probe-image-size": "7.2.3", "promise-limit": "2.7.0", "punycode": "2.3.0", - "pureimage": "0.3.15", + "pureimage": "0.4.8", "qrcode": "1.5.3", "qs": "6.11.2", "random-seed": "0.3.0", "ratelimiter": "3.4.1", - "re2": "1.20.1", - "redis-lock": "0.1.4", - "redis-semaphore": "5.4.0", + "re2": "1.20.3", + "redis-semaphore": "5.5.0", "reflect-metadata": "0.1.13", "rename": "1.0.4", "rndstr": "1.0.0", @@ -123,12 +122,12 @@ "sanitize-html": "2.11.0", "seedrandom": "^3.0.5", "semver": "7.5.4", - "sharp": "0.32.4", + "sharp": "0.32.5", "sonic-channel": "^1.3.1", "stringz": "2.1.0", "summaly": "2.7.0", "syslog-pro": "1.0.0", - "systeminformation": "5.18.13", + "systeminformation": "5.21.3", "tar-stream": "^3.1.6", "tesseract.js": "^4.1.1", "tinycolor2": "1.6.0", @@ -137,7 +136,7 @@ "typeorm": "0.3.17", "ulid": "2.3.0", "uuid": "9.0.0", - "web-push": "3.6.4", + "web-push": "3.6.5", "websocket": "1.0.34", "xev": "3.0.2" }, @@ -146,7 +145,6 @@ "@swc/core": "^1.3.75", "@types/adm-zip": "^0.5.0", "@types/bcryptjs": "2.4.2", - "@types/cbor": "6.0.0", "@types/escape-regexp": "0.0.1", "@types/fluent-ffmpeg": "2.1.21", "@types/js-yaml": "4.0.5", diff --git a/packages/backend/src/boot/master.ts b/packages/backend/src/boot/master.ts index f2e8630ade..1a40d0f3da 100644 --- a/packages/backend/src/boot/master.ts +++ b/packages/backend/src/boot/master.ts @@ -30,40 +30,34 @@ const themeColor = chalk.hex("#31748f"); function greet() { if (!envOption.quiet) { //#region Firefish logo - const v = `v${meta.version}`; console.log( themeColor( - " โ–„โ–„โ–„โ–„โ–„โ–„โ–„ โ–„โ–„โ–„ โ–„โ–„โ–„โ–„โ–„โ–„ โ–„โ–„โ–„โ–„โ–„โ–„โ–„ โ–„โ–„โ–„โ–„โ–„โ–„โ–„ โ–„โ–„โ–„ โ–„โ–„โ–„โ–„โ–„โ–„โ–„ โ–„โ–„ โ–„โ–„ โ—ฏ ", + "โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•— โ–ˆโ–ˆโ•— โ—‹ โ–„ โ–„ ", ), ); console.log( themeColor( - "โ–ˆ โ–ˆ โ–ˆ โ–„ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ—‹ โ–„ โ–„", + "โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ•โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ•โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ•โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ•โ–ˆโ–ˆโ•‘ โ–ˆโ–ˆโ•‘ โšฌ โ–ˆโ–„โ–„ โ–ˆโ–„โ–„ ", ), ); console.log( themeColor( - "โ–ˆ โ–„โ–„โ–„โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–„โ–„โ–„โ–ˆ โ–„โ–„โ–„โ–ˆ โ–ˆ โ–„โ–„โ–„โ–„โ–„โ–ˆ โ–ˆโ–„โ–ˆ โ–ˆ โšฌ โ–ˆโ–„โ–„ โ–ˆโ–„โ–„ ", + "โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•‘ โ–„โ–„โ–„โ–„โ–„โ–„ โ–„ ", ), ); console.log( themeColor( - "โ–ˆ โ–ˆโ–„โ–„โ–„โ–ˆ โ–ˆ โ–ˆโ–„โ–„โ–ˆโ–„โ–ˆ โ–ˆโ–„โ–„โ–„โ–ˆ โ–ˆโ–„โ–„โ–„โ–ˆ โ–ˆ โ–ˆโ–„โ–„โ–„โ–„โ–„โ–ˆ โ–ˆ โ–„โ–„โ–„โ–„โ–„โ–„ โ–„", + "โ–ˆโ–ˆโ•”โ•โ•โ• โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•”โ•โ•โ• โ–ˆโ–ˆโ•”โ•โ•โ• โ–ˆโ–ˆโ•‘โ•šโ•โ•โ•โ•โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•‘ โ–ˆ โ–ˆ โ–ˆโ–„โ–„ ", ), ); console.log( themeColor( - "โ–ˆ โ–„โ–„โ–„โ–ˆ โ–ˆ โ–„โ–„ โ–ˆ โ–„โ–„โ–„โ–ˆ โ–„โ–„โ–„โ–ˆ โ–ˆโ–„โ–„โ–„โ–„โ–„ โ–ˆ โ–„ โ–ˆ โ–ˆ โ–ˆ โ–ˆโ–„โ–„", + "โ–ˆโ–ˆโ•‘ โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘ โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•‘ โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘ โ–ˆโ–ˆโ•‘ โ–ˆ โ— โ— โ–ˆ ", ), ); console.log( themeColor( - "โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆโ–„โ–„โ–„โ–ˆ โ–ˆ โ–ˆ โ–ˆโ–„โ–„โ–„โ–„โ–„โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ— โ— โ–ˆ", - ), - ); - console.log( - themeColor( - "โ–ˆโ–„โ–„โ–„โ–ˆ โ–ˆโ–„โ–„โ–„โ–ˆโ–„โ–„โ–„โ–ˆ โ–ˆโ–„โ–ˆโ–„โ–„โ–„โ–„โ–„โ–„โ–„โ–ˆโ–„โ–„โ–„โ–ˆ โ–ˆโ–„โ–„โ–„โ–ˆโ–„โ–„โ–„โ–„โ–„โ–„โ–„โ–ˆโ–„โ–„โ–ˆ โ–ˆโ–„โ–„โ–ˆ โ–€โ–„โ–„โ–„โ–„โ–„โ–„โ–€", + "โ•šโ•โ• โ•šโ•โ•โ•šโ•โ• โ•šโ•โ•โ•šโ•โ•โ•โ•โ•โ•โ•โ•šโ•โ• โ•šโ•โ•โ•šโ•โ•โ•โ•โ•โ•โ•โ•šโ•โ• โ•šโ•โ• โ–€โ–„โ–„โ–„โ–„โ–„โ–„โ–€ ", ), ); //#endregion diff --git a/packages/backend/src/db/meilisearch.ts b/packages/backend/src/db/meilisearch.ts index bee693cbd8..40efaa5864 100644 --- a/packages/backend/src/db/meilisearch.ts +++ b/packages/backend/src/db/meilisearch.ts @@ -70,6 +70,8 @@ if (hasConfig) { "of", "they", "these", + "is", + "are", "ใ“ใ‚Œ", "ใใ‚Œ", "ใ‚ใ‚Œ", @@ -81,37 +83,30 @@ if (hasConfig) { "ใ‚ใใ“", "ใ“ใกใ‚‰", "ใฉใ“", - "ใ ใ‚Œ", - "ใชใซ", - "ใชใ‚“", - "ไฝ•", "็ง", - "่ฒดๆ–น", - "่ฒดๆ–นๆ–น", + "ๅƒ•", + "ไฟบ", + "ๅ›", + "ใ‚ใชใŸ", "ๆˆ‘ใ€…", "็ง้”", - "ใ‚ใฎไบบ", - "ใ‚ใฎใ‹", "ๅฝผๅฅณ", "ๅฝผ", "ใงใ™", - "ใ‚ใ‚Šใพ", - "ใŠใ‚Šใพ", - "ใ„ใพใ™", + "ใพใ™", "ใฏ", "ใŒ", "ใฎ", "ใซ", "ใ‚’", "ใง", - "ใˆ", + "ใธ", "ใ‹ใ‚‰", "ใพใง", "ใ‚ˆใ‚Š", "ใ‚‚", "ใฉใฎ", "ใจ", - "ใ—", "ใใ‚Œใง", "ใ—ใ‹ใ—", ]) diff --git a/packages/backend/src/global.d.ts b/packages/backend/src/global.d.ts index 503e26eb60..6c5a22e4b4 100644 --- a/packages/backend/src/global.d.ts +++ b/packages/backend/src/global.d.ts @@ -1,2 +1,2 @@ -// rome-ignore lint/suspicious/noExplicitAny: i have no idea +// biome-ignore lint/suspicious/noExplicitAny: i have no idea type FIXME = any; diff --git a/packages/backend/src/misc/app-lock.ts b/packages/backend/src/misc/app-lock.ts index 05bcf54244..0891d021f4 100644 --- a/packages/backend/src/misc/app-lock.ts +++ b/packages/backend/src/misc/app-lock.ts @@ -1,33 +1,40 @@ import { redisClient } from "../db/redis.js"; -import { promisify } from "node:util"; -import redisLock from "redis-lock"; +import { Mutex } from "redis-semaphore"; /** * Retry delay (ms) for lock acquisition */ const retryDelay = 100; -const lock: (key: string, timeout?: number) => Promise<() => void> = redisClient - ? promisify(redisLock(redisClient, retryDelay)) - : async () => () => {}; - /** * Get AP Object lock * @param uri AP object ID * @param timeout Lock timeout (ms), The timeout releases previous lock. * @returns Unlock function */ -export function getApLock(uri: string, timeout = 30 * 1000) { - return lock(`ap-object:${uri}`, timeout); +export async function getApLock(uri: string, timeout = 30 * 1000) { + const lock = new Mutex(redisClient, `ap-object:${uri}`, { + lockTimeout: timeout, + retryInterval: retryDelay, + }); + await lock.acquire(); } -export function getFetchInstanceMetadataLock( +export async function getFetchInstanceMetadataLock( host: string, timeout = 30 * 1000, ) { - return lock(`instance:${host}`, timeout); + const lock = new Mutex(redisClient, `instance:${host}`, { + lockTimeout: timeout, + retryInterval: retryDelay, + }); + await lock.acquire(); } -export function getChartInsertLock(lockKey: string, timeout = 30 * 1000) { - return lock(`chart-insert:${lockKey}`, timeout); +export async function getChartInsertLock(lockKey: string, timeout = 30 * 1000) { + const lock = new Mutex(redisClient, `chart-insert:${lockKey}`, { + lockTimeout: timeout, + retryInterval: retryDelay, + }); + await lock.acquire(); } diff --git a/packages/backend/src/remote/activitypub/kernel/announce/note.ts b/packages/backend/src/remote/activitypub/kernel/announce/note.ts index 6cdaa61662..acf8c84360 100644 --- a/packages/backend/src/remote/activitypub/kernel/announce/note.ts +++ b/packages/backend/src/remote/activitypub/kernel/announce/note.ts @@ -32,8 +32,6 @@ export default async function ( // Interrupt if you block the announcement destination if (await shouldBlockInstance(extractDbHost(uri))) return; - const unlock = await getApLock(uri); - try { // Check if something with the same URI is already registered const exist = await fetchNote(uri); @@ -60,9 +58,10 @@ export default async function ( throw e; } - if (!(await Notes.isVisibleForMe(renote, actor.id))) - return "skip: invalid actor for this activity"; - + if (renote != null && !(await Notes.isVisibleForMe(renote, actor.id))) { + console.log("skip: invalid actor for this activity"); + return; + } logger.info(`Creating the (Re)Note: ${uri}`); const activityAudience = await parseAudience( @@ -79,6 +78,6 @@ export default async function ( uri, }); } finally { - unlock(); + await getApLock(uri); } } diff --git a/packages/backend/src/remote/activitypub/kernel/create/note.ts b/packages/backend/src/remote/activitypub/kernel/create/note.ts index 09c492730c..fe4cc0906f 100644 --- a/packages/backend/src/remote/activitypub/kernel/create/note.ts +++ b/packages/backend/src/remote/activitypub/kernel/create/note.ts @@ -31,8 +31,6 @@ export default async function ( } } - const unlock = await getApLock(uri); - try { const exist = await fetchNote(note); if (exist) return "skip: note exists"; @@ -46,6 +44,6 @@ export default async function ( throw e; } } finally { - unlock(); + await getApLock(uri); } } diff --git a/packages/backend/src/remote/activitypub/kernel/delete/note.ts b/packages/backend/src/remote/activitypub/kernel/delete/note.ts index 69298e9175..b37f7d25f9 100644 --- a/packages/backend/src/remote/activitypub/kernel/delete/note.ts +++ b/packages/backend/src/remote/activitypub/kernel/delete/note.ts @@ -13,8 +13,6 @@ export default async function ( ): Promise { logger.info(`Deleting the Note: ${uri}`); - const unlock = await getApLock(uri); - try { const dbResolver = new DbResolver(); const note = await dbResolver.getNoteFromApId(uri); @@ -39,6 +37,6 @@ export default async function ( await deleteNode(actor, note); return "ok: note deleted"; } finally { - unlock(); + await getApLock(uri); } } diff --git a/packages/backend/src/remote/activitypub/misc/ld-signature.ts b/packages/backend/src/remote/activitypub/misc/ld-signature.ts index 5955109221..62707624be 100644 --- a/packages/backend/src/remote/activitypub/misc/ld-signature.ts +++ b/packages/backend/src/remote/activitypub/misc/ld-signature.ts @@ -68,13 +68,13 @@ export class LdSignature { ...options, "@context": "https://w3id.org/identity/v1", }; - transformedOptions.type = undefined; - transformedOptions.id = undefined; - transformedOptions.signatureValue = undefined; + delete transformedOptions["type"]; + delete transformedOptions["id"]; + delete transformedOptions["signatureValue"]; const canonizedOptions = await this.normalize(transformedOptions); const optionsHash = this.sha256(canonizedOptions); const transformedData = { ...data }; - transformedData.signature = undefined; + delete transformedData["signature"]; const cannonidedData = await this.normalize(transformedData); if (this.debug) console.debug(`cannonidedData: ${cannonidedData}`); const documentHash = this.sha256(cannonidedData); diff --git a/packages/backend/src/remote/activitypub/models/note.ts b/packages/backend/src/remote/activitypub/models/note.ts index 391f669f3f..8e305d7195 100644 --- a/packages/backend/src/remote/activitypub/models/note.ts +++ b/packages/backend/src/remote/activitypub/models/note.ts @@ -415,8 +415,6 @@ export async function resolveNote( `host ${extractDbHost(uri)} is blocked`, ); - const unlock = await getApLock(uri); - try { //#region Returns if already registered with this server const exist = await fetchNote(uri); @@ -439,7 +437,7 @@ export async function resolveNote( // Since the attached Note Object may be disguised, always specify the uri and fetch it from the server. return await createNote(uri, resolver, true); } finally { - unlock(); + await getApLock(uri); } } diff --git a/packages/backend/src/server/api/endpoints/i/2fa/key-done.ts b/packages/backend/src/server/api/endpoints/i/2fa/key-done.ts index 34660c6f2e..32f972d0b6 100644 --- a/packages/backend/src/server/api/endpoints/i/2fa/key-done.ts +++ b/packages/backend/src/server/api/endpoints/i/2fa/key-done.ts @@ -1,5 +1,4 @@ -import { promisify } from "node:util"; -import * as cbor from "cbor"; +import { decode } from "msgpackr"; import define from "../../../define.js"; import { UserProfiles, @@ -12,7 +11,6 @@ import { procedures, hash } from "../../../2fa.js"; import { publishMainStream } from "@/services/stream.js"; import { comparePassword } from "@/misc/password.js"; -const cborDecodeFirst = promisify(cbor.decodeFirst) as any; const rpIdHashReal = hash(Buffer.from(config.hostname, "utf-8")); export const meta = { @@ -64,7 +62,7 @@ export default define(meta, paramDef, async (ps, user) => { const clientDataJSONHash = hash(Buffer.from(ps.clientDataJSON, "utf-8")); - const attestation = await cborDecodeFirst(ps.attestationObject); + const attestation = decode(Buffer.from(ps.attestationObject, "utf-8")); const rpIdHash = attestation.authData.slice(0, 32); if (!rpIdHashReal.equals(rpIdHash)) { @@ -81,7 +79,7 @@ export default define(meta, paramDef, async (ps, user) => { const credentialIdLength = authData.readUInt16BE(53); const credentialId = authData.slice(55, 55 + credentialIdLength); const publicKeyData = authData.slice(55 + credentialIdLength); - const publicKey: Map = await cborDecodeFirst(publicKeyData); + const publicKey: Map = decode(publicKeyData); if (publicKey.get(3) !== -7) { throw new Error("alg mismatch"); } diff --git a/packages/backend/src/server/api/endpoints/notes/translate.ts b/packages/backend/src/server/api/endpoints/notes/translate.ts index d86fc12a2e..414e761c1c 100644 --- a/packages/backend/src/server/api/endpoints/notes/translate.ts +++ b/packages/backend/src/server/api/endpoints/notes/translate.ts @@ -1,6 +1,7 @@ import { URLSearchParams } from "node:url"; import fetch from "node-fetch"; import config from "@/config/index.js"; +import { Converter } from "opencc-js"; import { getAgentByUrl } from "@/misc/fetch.js"; import { fetchMeta } from "@/misc/fetch-meta.js"; import { Notes } from "@/models/index.js"; @@ -38,6 +39,13 @@ export const paramDef = { required: ["noteId", "targetLang"], } as const; +function convertChinese(convert: boolean, src: string) { + if (!convert) return src; + + const converter = Converter({ from: "cn", to: "twp" }); + return converter(src); +} + export default define(meta, paramDef, async (ps, user) => { const note = await getNote(ps.noteId, user).catch((err) => { if (err.id === "9725d0ce-ba28-4dde-95a7-2cbb2c15de24") @@ -93,7 +101,7 @@ export default define(meta, paramDef, async (ps, user) => { return { sourceLang: json.detectedLanguage?.language, - text: json.translatedText, + text: convertChinese(ps.targetLang === "zh-TW", json.translatedText), }; } @@ -128,6 +136,6 @@ export default define(meta, paramDef, async (ps, user) => { return { sourceLang: json.translations[0].detected_source_language, - text: json.translations[0].text, + text: convertChinese(ps.targetLang === "zh-TW", json.translations[0].text), }; }); diff --git a/packages/backend/src/server/api/stream/index.ts b/packages/backend/src/server/api/stream/index.ts index 72dce19511..e483683151 100644 --- a/packages/backend/src/server/api/stream/index.ts +++ b/packages/backend/src/server/api/stream/index.ts @@ -59,7 +59,6 @@ export default class Connection { accessToken: string, prepareStream: string | undefined, ) { - console.log("constructor", prepareStream); this.wsConnection = wsConnection; this.subscriber = subscriber; if (user) this.user = user; @@ -88,7 +87,6 @@ export default class Connection { this.subscriber.on(`user:${this.user.id}`, this.onUserEvent); } - console.log("prepare", prepareStream); if (prepareStream) { this.onWsConnectionMessage({ type: "utf8", @@ -185,8 +183,7 @@ export default class Connection { const tl = await client.getHomeTimeline(); for (const t of tl.data) forSubscribe.push(t.id); } catch (e: any) { - console.log(e); - console.error(e.response.data); + console.error(e); } } else if (simpleObj.stream === "public:local") { this.currentSubscribe.push(["public:local"]); @@ -247,7 +244,6 @@ export default class Connection { for (const obj of objs) { const { type, body } = obj; - // console.log(type, body); switch (type) { case "readNotification": this.onReadNotification(body); diff --git a/packages/backend/src/server/web/manifest.json b/packages/backend/src/server/web/manifest.json index 350710afea..cf5df281e0 100644 --- a/packages/backend/src/server/web/manifest.json +++ b/packages/backend/src/server/web/manifest.json @@ -3,10 +3,11 @@ "name": "Firefish", "description": "An open source, decentralized social media platform that's free forever!", "start_url": "/", + "scope": "/", "display": "standalone", "background_color": "#1f1d2e", "theme_color": "#31748f", - "orientation": "portrait-primary", + "orientation": "natural", "icons": [ { "src": "/static-assets/icons/192.png", @@ -21,7 +22,7 @@ "purpose": "any" }, { - "src": "/static-assets/icons/maskable.png", + "src": "/static-assets/icons/512.png", "sizes": "512x512", "type": "image/png", "purpose": "maskable" diff --git a/packages/backend/src/server/web/manifest.ts b/packages/backend/src/server/web/manifest.ts index bbcf639ffe..2090a7f553 100644 --- a/packages/backend/src/server/web/manifest.ts +++ b/packages/backend/src/server/web/manifest.ts @@ -11,7 +11,6 @@ export const manifestHandler = async (ctx: Koa.Context) => { const instance = await fetchMeta(true); res.short_name = instance.name || "Firefish"; - res.name = instance.name || "Firefish"; if (instance.themeColor) res.theme_color = instance.themeColor; for (const icon of res.icons) { icon.src = `${icon.src}?v=${config.version.replace(/[^0-9]/g, "")}`; diff --git a/packages/backend/src/server/web/views/base.pug b/packages/backend/src/server/web/views/base.pug index ee8bdc790a..886e7aa9be 100644 --- a/packages/backend/src/server/web/views/base.pug +++ b/packages/backend/src/server/web/views/base.pug @@ -7,16 +7,16 @@ doctype html // - - โ–„โ–„โ–„โ–„โ–„โ–„โ–„ โ–„โ–„โ–„ โ–„โ–„โ–„โ–„โ–„โ–„ โ–„โ–„โ–„โ–„โ–„โ–„โ–„ โ–„โ–„โ–„โ–„โ–„โ–„โ–„ โ–„โ–„โ–„ โ–„โ–„โ–„โ–„โ–„โ–„โ–„ โ–„โ–„ โ–„โ–„ โ—ฏ - โ–ˆ โ–ˆ โ–ˆ โ–„ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ—‹ โ–„ โ–„ - โ–ˆ โ–„โ–„โ–„โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–„โ–„โ–„โ–ˆ โ–„โ–„โ–„โ–ˆ โ–ˆ โ–„โ–„โ–„โ–„โ–„โ–ˆ โ–ˆโ–„โ–ˆ โ–ˆ โšฌ โ–ˆโ–„โ–„ โ–ˆโ–„โ–„ - โ–ˆ โ–ˆโ–„โ–„โ–„โ–ˆ โ–ˆ โ–ˆโ–„โ–„โ–ˆโ–„โ–ˆ โ–ˆโ–„โ–„โ–„โ–ˆ โ–ˆโ–„โ–„โ–„โ–ˆ โ–ˆ โ–ˆโ–„โ–„โ–„โ–„โ–„โ–ˆ โ–ˆ โ–„โ–„โ–„โ–„โ–„โ–„ โ–„ - โ–ˆ โ–„โ–„โ–„โ–ˆ โ–ˆ โ–„โ–„ โ–ˆ โ–„โ–„โ–„โ–ˆ โ–„โ–„โ–„โ–ˆ โ–ˆโ–„โ–„โ–„โ–„โ–„ โ–ˆ โ–„ โ–ˆ โ–ˆ โ–ˆ โ–ˆโ–„โ–„ - โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆโ–„โ–„โ–„โ–ˆ โ–ˆ โ–ˆ โ–ˆโ–„โ–„โ–„โ–„โ–„โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ–ˆ โ— โ— โ–ˆ - โ–ˆโ–„โ–„โ–„โ–ˆ โ–ˆโ–„โ–„โ–„โ–ˆโ–„โ–„โ–„โ–ˆ โ–ˆโ–„โ–ˆโ–„โ–„โ–„โ–„โ–„โ–„โ–„โ–ˆโ–„โ–„โ–„โ–ˆ โ–ˆโ–„โ–„โ–„โ–ˆโ–„โ–„โ–„โ–„โ–„โ–„โ–„โ–ˆโ–„โ–„โ–ˆ โ–ˆโ–„โ–„โ–ˆ โ–€โ–„โ–„โ–„โ–„โ–„โ–„โ–€ + + โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•— โ–ˆโ–ˆโ•— โ—‹ โ–„ โ–„ + โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ•โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ•โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ•โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ•โ–ˆโ–ˆโ•‘ โ–ˆโ–ˆโ•‘ โšฌ โ–ˆโ–„โ–„ โ–ˆโ–„โ–„ + โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•‘ โ–„โ–„โ–„โ–„โ–„โ–„ โ–„ + โ–ˆโ–ˆโ•”โ•โ•โ• โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•”โ•โ•โ• โ–ˆโ–ˆโ•”โ•โ•โ• โ–ˆโ–ˆโ•‘โ•šโ•โ•โ•โ•โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•‘ โ–ˆ โ–ˆ โ–ˆโ–„โ–„ + โ–ˆโ–ˆโ•‘ โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘ โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•‘ โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘ โ–ˆโ–ˆโ•‘ โ–ˆ โ— โ— โ–ˆ + โ•šโ•โ• โ•šโ•โ•โ•šโ•โ• โ•šโ•โ•โ•šโ•โ•โ•โ•โ•โ•โ•โ•šโ•โ• โ•šโ•โ•โ•šโ•โ•โ•โ•โ•โ•โ•โ•šโ•โ• โ•šโ•โ• โ–€โ–„โ–„โ–„โ–„โ–„โ–„โ–€ Thank you for using Firefish! - If you are reading this message... how about joining the development? + If you're reading this message... how about helping out with development? https://git.joinfirefish.org/firefish/firefish html diff --git a/packages/backend/src/services/chart/core.ts b/packages/backend/src/services/chart/core.ts index 36fe373269..e1aaaad4b3 100644 --- a/packages/backend/src/services/chart/core.ts +++ b/packages/backend/src/services/chart/core.ts @@ -430,7 +430,6 @@ export default abstract class Chart { ? `${this.name}:${date}:${span}:${group}` : `${this.name}:${date}:${span}`; - const unlock = await getChartInsertLock(lockKey); try { // ใƒญใƒƒใ‚ฏๅ†…ใงใ‚‚ใ†1ๅ›žใƒใ‚งใƒƒใ‚ฏใ™ใ‚‹ const currentLog = (await repository.findOneBy({ @@ -466,14 +465,14 @@ export default abstract class Chart { return log; } finally { - unlock(); + await getChartInsertLock(lockKey); } } protected commit(diff: Commit, group: string | null = null): void { for (const [k, v] of Object.entries(diff)) { if (v == null || v === 0 || (Array.isArray(v) && v.length === 0)) - // rome-ignore lint/performance/noDelete: needs to be deleted not just set to undefined + // biome-ignore lint/performance/noDelete: needs to be deleted not just set to undefined delete diff[k]; } this.buffer.push({ diff --git a/packages/backend/src/services/fetch-instance-metadata.ts b/packages/backend/src/services/fetch-instance-metadata.ts index 79354448f5..9a5a9bb080 100644 --- a/packages/backend/src/services/fetch-instance-metadata.ts +++ b/packages/backend/src/services/fetch-instance-metadata.ts @@ -15,8 +15,6 @@ export async function fetchInstanceMetadata( instance: Instance, force = false, ): Promise { - const unlock = await getFetchInstanceMetadataLock(instance.host); - if (!force) { const _instance = await Instances.findOneBy({ host: instance.host }); const now = Date.now(); @@ -24,7 +22,7 @@ export async function fetchInstanceMetadata( _instance?.infoUpdatedAt && now - _instance.infoUpdatedAt.getTime() < 1000 * 60 * 60 * 24 ) { - unlock(); + await getFetchInstanceMetadataLock(instance.host); return; } } @@ -53,7 +51,7 @@ export async function fetchInstanceMetadata( } as Record; if (info) { - updates.softwareName = info.software?.name.toLowerCase(); + updates.softwareName = info.software?.name?.toLowerCase() || null; updates.softwareVersion = info.software?.version; updates.openRegistrations = info.openRegistrations; updates.maintainerName = info.metadata @@ -80,24 +78,24 @@ export async function fetchInstanceMetadata( } catch (e) { logger.error(`Failed to update metadata of ${instance.host}: ${e}`); } finally { - unlock(); + await getFetchInstanceMetadataLock(instance.host); } } type NodeInfo = { - openRegistrations?: any; + openRegistrations?: boolean; software?: { - name?: any; - version?: any; + name?: string; + version?: string; }; metadata?: { - name?: any; - nodeName?: any; - nodeDescription?: any; - description?: any; + name?: string; + nodeName?: string; + nodeDescription?: string; + description?: string; maintainer?: { - name?: any; - email?: any; + name?: string; + email?: string; }; }; }; diff --git a/packages/backend/src/services/note/create.ts b/packages/backend/src/services/note/create.ts index 689bd66162..b39a857836 100644 --- a/packages/backend/src/services/note/create.ts +++ b/packages/backend/src/services/note/create.ts @@ -169,7 +169,7 @@ export default async ( data: Option, silent = false, ) => - // rome-ignore lint/suspicious/noAsyncPromiseExecutor: FIXME + // biome-ignore lint/suspicious/noAsyncPromiseExecutor: FIXME new Promise(async (res, rej) => { const dontFederateInitially = data.visibility === "hidden"; diff --git a/packages/client/.eslintrc.json b/packages/client/.eslintrc.json index fd4718003d..6c11c2429e 100644 --- a/packages/client/.eslintrc.json +++ b/packages/client/.eslintrc.json @@ -1,6 +1,7 @@ { "extends": ["@eslint-sets/vue3", "@eslint-sets/vue3-ts"], "plugins": ["file-progress", "prettier"], + "ignorePatterns": ["**/*.json5"], "rules": { "file-progress/activate": 1 } diff --git a/packages/client/package.json b/packages/client/package.json index 9efe66f4b6..d7cfe4e6c4 100644 --- a/packages/client/package.json +++ b/packages/client/package.json @@ -5,9 +5,9 @@ "watch": "pnpm vite build --watch --mode development", "build": "pnpm vite build", "build:debug": "pnpm run build", - "lint": "pnpm rome check **/*.ts --apply && pnpm run lint:vue", - "lint:vue": "pnpm paralint --ext .vue --fix '**/*.vue' --cache", - "format": "pnpm rome format * --write && pnpm prettier --write '**/*.{scss,vue}' --cache --cache-strategy metadata" + "lint": "pnpm biome check **/*.ts --apply ; pnpm run lint:vue", + "lint:vue": "pnpm eslint src --fix '**/*.vue' --cache ; pnpm run format", + "format": "pnpm biome format * --write && pnpm prettier --write '**/*.{scss,vue}' --cache --cache-strategy metadata" }, "devDependencies": { "@discordapp/twemoji": "14.1.2", @@ -16,7 +16,7 @@ "@phosphor-icons/web": "^2.0.3", "@rollup/plugin-alias": "5.0.0", "@rollup/plugin-json": "6.0.0", - "@rollup/pluginutils": "^5.0.3", + "@rollup/pluginutils": "^5.0.4", "@syuilo/aiscript": "0.11.1", "@types/escape-regexp": "0.0.1", "@types/glob": "8.1.0", @@ -28,15 +28,15 @@ "@types/seedrandom": "3.0.5", "@types/throttle-debounce": "5.0.0", "@types/tinycolor2": "1.4.3", - "@types/uuid": "9.0.2", - "@vitejs/plugin-vue": "4.3.1", + "@types/uuid": "9.0.3", + "@vitejs/plugin-vue": "4.3.4", "@vue/compiler-sfc": "3.3.4", "autobind-decorator": "2.4.0", "autosize": "6.0.1", "blurhash": "2.0.5", - "broadcast-channel": "5.2.0", + "broadcast-channel": "5.3.0", "browser-image-resizer": "github:misskey-dev/browser-image-resizer", - "chart.js": "4.3.3", + "chart.js": "4.4.0", "chartjs-adapter-date-fns": "3.0.0", "chartjs-chart-matrix": "^2.0.1", "chartjs-plugin-gradient": "0.6.1", @@ -63,36 +63,35 @@ "katex": "0.16.8", "matter-js": "0.19.0", "mfm-js": "0.23.3", - "paralint": "^1.2.1", "photoswipe": "5.3.8", - "prettier": "3.0.2", + "prettier": "3.0.3", "prettier-plugin-vue": "1.1.6", "prismjs": "1.29.0", "punycode": "2.3.0", "rndstr": "1.0.0", - "rollup": "3.28.0", + "rollup": "3.28.1", "s-age": "1.1.2", - "sass": "1.66.0", + "sass": "1.66.1", "seedrandom": "3.0.5", "strict-event-emitter-types": "2.0.0", "stringz": "2.1.0", "swiper": "10.2.0", "syuilo-password-strength": "0.0.1", "textarea-caret": "3.1.0", - "three": "0.155.0", + "three": "0.156.0", "throttle-debounce": "5.0.0", "tinycolor2": "1.6.0", "tsc-alias": "1.8.7", "tsconfig-paths": "4.2.0", "twemoji-parser": "14.0.0", - "typescript": "5.1.6", + "typescript": "5.2.2", "unicode-emoji-json": "^0.4.0", "uuid": "9.0.0", "vanilla-tilt": "1.8.1", "vite": "4.4.9", "vite-plugin-compression": "^0.5.1", "vue": "3.3.4", - "vue-draggable-plus": "^0.2.5", + "vue-draggable-plus": "^0.2.6", "vue-isyourpasswordsafe": "^2.0.0", "vue-plyr": "^7.0.0", "vue-prism-editor": "2.0.0-alpha.2" diff --git a/packages/client/src/account.ts b/packages/client/src/account.ts index b2d6df0332..13408b525d 100644 --- a/packages/client/src/account.ts +++ b/packages/client/src/account.ts @@ -1,10 +1,10 @@ import { defineAsyncComponent, reactive } from "vue"; -import * as misskey from "firefish-js"; +import type * as misskey from "firefish-js"; import { i18n } from "./i18n"; import { del, get, set } from "@/scripts/idb-proxy"; import { apiUrl } from "@/config"; -import { waiting, api, popup, popupMenu, success, alert } from "@/os"; -import { unisonReload, reloadChannel } from "@/scripts/unison-reload"; +import { alert, api, popup, popupMenu, success, waiting } from "@/os"; +import { reloadChannel, unisonReload } from "@/scripts/unison-reload"; // TODO: ไป–ใฎใ‚ฟใƒ–ใจๆฐธ็ถšๅŒ–ใ•ใ‚ŒใŸstateใ‚’ๅŒๆœŸ @@ -28,7 +28,7 @@ export async function signout() { const accounts = await getAccounts(); - //#region Remove service worker registration + // #region Remove service worker registration try { if (navigator.serviceWorker.controller) { const registration = await navigator.serviceWorker.ready; @@ -52,7 +52,7 @@ export async function signout() { }); } } catch (err) {} - //#endregion + // #endregion document.cookie = "igi=; path=/"; diff --git a/packages/client/src/components/MkAnnouncement.vue b/packages/client/src/components/MkAnnouncement.vue index bd1091b7f2..700cb5e747 100644 --- a/packages/client/src/components/MkAnnouncement.vue +++ b/packages/client/src/components/MkAnnouncement.vue @@ -8,9 +8,11 @@
- {{ i18n.ts.updatedAt }}: - -
+ + {{ i18n.ts.updatedAt }}: + + +
{ } .gotIt { - margin: 8px 0 0 0; + margin: 1rem 0 1rem 2rem; } diff --git a/packages/client/src/components/MkDialog.vue b/packages/client/src/components/MkDialog.vue index 3cfd332c7d..5acef39654 100644 --- a/packages/client/src/components/MkDialog.vue +++ b/packages/client/src/components/MkDialog.vue @@ -199,7 +199,7 @@ diff --git a/packages/client/src/components/MkDrive.vue b/packages/client/src/components/MkDrive.vue index a0b3713a72..28204fe86c 100644 --- a/packages/client/src/components/MkDrive.vue +++ b/packages/client/src/components/MkDrive.vue @@ -139,7 +139,7 @@ import { ref, watch, } from "vue"; -import * as Misskey from "firefish-js"; +import type * as Misskey from "firefish-js"; import MkButton from "./MkButton.vue"; import XNavFolder from "@/components/MkDrive.navFolder.vue"; import XFolder from "@/components/MkDrive.folder.vue"; @@ -294,7 +294,7 @@ function onDrop(ev: DragEvent): any { return; } - //#region ใƒ‰ใƒฉใ‚คใƒ–ใฎใƒ•ใ‚กใ‚คใƒซ + // #region ใƒ‰ใƒฉใ‚คใƒ–ใฎใƒ•ใ‚กใ‚คใƒซ const driveFile = ev.dataTransfer.getData(_DATA_TRANSFER_DRIVE_FILE_); if (driveFile != null && driveFile !== "") { const file = JSON.parse(driveFile); @@ -305,9 +305,9 @@ function onDrop(ev: DragEvent): any { folderId: folder.value ? folder.value.id : null, }); } - //#endregion + // #endregion - //#region ใƒ‰ใƒฉใ‚คใƒ–ใฎใƒ•ใ‚ฉใƒซใƒ€ + // #region ใƒ‰ใƒฉใ‚คใƒ–ใฎใƒ•ใ‚ฉใƒซใƒ€ const driveFolder = ev.dataTransfer.getData(_DATA_TRANSFER_DRIVE_FOLDER_); if (driveFolder != null && driveFolder !== "") { const droppedFolder = JSON.parse(driveFolder); @@ -339,7 +339,7 @@ function onDrop(ev: DragEvent): any { } }); } - //#endregion + // #endregion } function selectLocalFile() { @@ -354,7 +354,7 @@ function urlUpload() { }).then(({ canceled, result: url }) => { if (canceled || !url) return; os.api("drive/files/upload-from-url", { - url: url, + url, folderId: folder.value ? folder.value.id : undefined, }); @@ -372,7 +372,7 @@ function createFolder() { }).then(({ canceled, result: name }) => { if (canceled) return; os.api("drive/folders/create", { - name: name, + name, parentId: folder.value ? folder.value.id : undefined, }).then((createdFolder) => { addFolder(createdFolder, true); @@ -389,7 +389,7 @@ function renameFolder(folderToRename: Misskey.entities.DriveFolder) { if (canceled) return; os.api("drive/folders/update", { folderId: folderToRename.id, - name: name, + name, }).then((updatedFolder) => { // FIXME: ็”ป้ขใ‚’ๆ›ดๆ–ฐใ™ใ‚‹ใŸใ‚ใซ่‡ชๅˆ†่‡ช่บซใซ็งปๅ‹• move(updatedFolder); diff --git a/packages/client/src/components/MkDriveFileThumbnail.vue b/packages/client/src/components/MkDriveFileThumbnail.vue index c5af469e91..7d9b43635e 100644 --- a/packages/client/src/components/MkDriveFileThumbnail.vue +++ b/packages/client/src/components/MkDriveFileThumbnail.vue @@ -68,7 +68,7 @@ const is = computed(() => { "application/x-tar", "application/gzip", "application/x-7z-compressed", - ].some((archiveType) => archiveType === props.file.type) + ].includes(props.file.type) ) return "archive"; return "unknown"; diff --git a/packages/client/src/components/MkDriveSelectDialog.vue b/packages/client/src/components/MkDriveSelectDialog.vue index 5b3b33d6c7..ae292b96a7 100644 --- a/packages/client/src/components/MkDriveSelectDialog.vue +++ b/packages/client/src/components/MkDriveSelectDialog.vue @@ -37,7 +37,7 @@ diff --git a/packages/client/src/pages/admin/overview.queue-chart.vue b/packages/client/src/pages/admin/overview.queue-chart.vue index 1348bde98e..cfbcbe6a11 100644 --- a/packages/client/src/pages/admin/overview.queue-chart.vue +++ b/packages/client/src/pages/admin/overview.queue-chart.vue @@ -3,27 +3,24 @@ - - diff --git a/packages/client/src/pages/admin/overview.queue.chart.vue b/packages/client/src/pages/admin/overview.queue.chart.vue index 01a0d0ec07..2e9195e205 100644 --- a/packages/client/src/pages/admin/overview.queue.chart.vue +++ b/packages/client/src/pages/admin/overview.queue.chart.vue @@ -3,10 +3,8 @@ - - diff --git a/packages/client/src/pages/admin/overview.queue.vue b/packages/client/src/pages/admin/overview.queue.vue index 1084f2e397..bf6a45ee5d 100644 --- a/packages/client/src/pages/admin/overview.queue.vue +++ b/packages/client/src/pages/admin/overview.queue.vue @@ -45,9 +45,7 @@ import { markRaw, onMounted, onUnmounted, ref, shallowRef } from "vue"; import XChart from "./overview.queue.chart.vue"; import number from "@/filters/number"; -import * as os from "@/os"; import { stream } from "@/stream"; -import { i18n } from "@/i18n"; const connection = markRaw(stream.useChannel("queueStats")); @@ -55,10 +53,10 @@ const activeSincePrevTick = ref(0); const active = ref(0); const delayed = ref(0); const waiting = ref(0); -let chartProcess = shallowRef>(); -let chartActive = shallowRef>(); -let chartDelayed = shallowRef>(); -let chartWaiting = shallowRef>(); +const chartProcess = shallowRef>(); +const chartActive = shallowRef>(); +const chartDelayed = shallowRef>(); +const chartWaiting = shallowRef>(); const props = defineProps<{ domain: string; @@ -70,10 +68,10 @@ const onStats = (stats) => { delayed.value = stats[props.domain].delayed; waiting.value = stats[props.domain].waiting; - chartProcess.value.pushData(stats[props.domain].activeSincePrevTick); - chartActive.value.pushData(stats[props.domain].active); - chartDelayed.value.pushData(stats[props.domain].delayed); - chartWaiting.value.pushData(stats[props.domain].waiting); + chartProcess.value?.pushData(stats[props.domain].activeSincePrevTick); + chartActive.value?.pushData(stats[props.domain].active); + chartDelayed.value?.pushData(stats[props.domain].delayed); + chartWaiting.value?.pushData(stats[props.domain].waiting); }; const onStatsLog = (statsLog) => { @@ -89,10 +87,10 @@ const onStatsLog = (statsLog) => { dataWaiting.push(stats[props.domain].waiting); } - chartProcess.value.setData(dataProcess); - chartActive.value.setData(dataActive); - chartDelayed.value.setData(dataDelayed); - chartWaiting.value.setData(dataWaiting); + chartProcess.value?.setData(dataProcess); + chartActive.value?.setData(dataActive); + chartDelayed.value?.setData(dataDelayed); + chartWaiting.value?.setData(dataWaiting); }; onMounted(() => { diff --git a/packages/client/src/pages/admin/overview.stats.vue b/packages/client/src/pages/admin/overview.stats.vue index de301b0b9b..81d90d93e3 100644 --- a/packages/client/src/pages/admin/overview.stats.vue +++ b/packages/client/src/pages/admin/overview.stats.vue @@ -94,20 +94,18 @@ - - diff --git a/packages/client/src/pages/admin/queue.chart.vue b/packages/client/src/pages/admin/queue.chart.vue index b220201d3d..fad0deb6ca 100644 --- a/packages/client/src/pages/admin/queue.chart.vue +++ b/packages/client/src/pages/admin/queue.chart.vue @@ -42,8 +42,8 @@
{{ job[0] }} @@ -72,10 +72,10 @@ const active = ref(0); const delayed = ref(0); const waiting = ref(0); const jobs = ref([]); -let chartProcess = ref>(); -let chartActive = ref>(); -let chartDelayed = ref>(); -let chartWaiting = ref>(); +const chartProcess = ref>(); +const chartActive = ref>(); +const chartDelayed = ref>(); +const chartWaiting = ref>(); const props = defineProps<{ domain: string; diff --git a/packages/client/src/pages/admin/queue.vue b/packages/client/src/pages/admin/queue.vue index 15a6bdcf02..28ea6b72ed 100644 --- a/packages/client/src/pages/admin/queue.vue +++ b/packages/client/src/pages/admin/queue.vue @@ -15,34 +15,13 @@ - - diff --git a/packages/client/src/pages/channel-editor.vue b/packages/client/src/pages/channel-editor.vue index 5492dac296..c3dd749f37 100644 --- a/packages/client/src/pages/channel-editor.vue +++ b/packages/client/src/pages/channel-editor.vue @@ -40,7 +40,7 @@ - - diff --git a/packages/client/src/pages/channel.vue b/packages/client/src/pages/channel.vue index 974c779320..6269f3eee8 100644 --- a/packages/client/src/pages/channel.vue +++ b/packages/client/src/pages/channel.vue @@ -101,8 +101,7 @@ diff --git a/packages/client/src/pages/explore.users.vue b/packages/client/src/pages/explore.users.vue index 07403a2ba9..74134fdbbb 100644 --- a/packages/client/src/pages/explore.users.vue +++ b/packages/client/src/pages/explore.users.vue @@ -141,24 +141,22 @@ - - diff --git a/packages/client/src/pages/my-antennas/edit.vue b/packages/client/src/pages/my-antennas/edit.vue index 3b64f3f7aa..386d21f3cb 100644 --- a/packages/client/src/pages/my-antennas/edit.vue +++ b/packages/client/src/pages/my-antennas/edit.vue @@ -9,7 +9,7 @@ - - diff --git a/packages/client/src/pages/my-antennas/editor.vue b/packages/client/src/pages/my-antennas/editor.vue index a9e58807c3..a2fba8c67c 100644 --- a/packages/client/src/pages/my-antennas/editor.vue +++ b/packages/client/src/pages/my-antennas/editor.vue @@ -114,7 +114,7 @@ - - diff --git a/packages/client/src/pages/registry.vue b/packages/client/src/pages/registry.vue index 1da5a56a7e..0fcc09cb56 100644 --- a/packages/client/src/pages/registry.vue +++ b/packages/client/src/pages/registry.vue @@ -24,7 +24,7 @@ - - diff --git a/packages/client/src/pages/reset-password.vue b/packages/client/src/pages/reset-password.vue index 4c8de5cd70..3544929fc0 100644 --- a/packages/client/src/pages/reset-password.vue +++ b/packages/client/src/pages/reset-password.vue @@ -30,7 +30,7 @@ - - diff --git a/packages/client/src/pages/scratchpad.vue b/packages/client/src/pages/scratchpad.vue index 91a43f1501..a63c7f5682 100644 --- a/packages/client/src/pages/scratchpad.vue +++ b/packages/client/src/pages/scratchpad.vue @@ -37,7 +37,7 @@ - - diff --git a/packages/client/src/pages/settings/preferences-backups.vue b/packages/client/src/pages/settings/preferences-backups.vue index bb37e9aa5f..3452a96e61 100644 --- a/packages/client/src/pages/settings/preferences-backups.vue +++ b/packages/client/src/pages/settings/preferences-backups.vue @@ -56,7 +56,7 @@ - - diff --git a/packages/client/src/pages/user/following.vue b/packages/client/src/pages/user/following.vue index 120a72c809..96ac8087e3 100644 --- a/packages/client/src/pages/user/following.vue +++ b/packages/client/src/pages/user/following.vue @@ -16,9 +16,9 @@ - - diff --git a/packages/client/src/pages/user/reactions.vue b/packages/client/src/pages/user/reactions.vue index f000ee179e..3e9f24b0e8 100644 --- a/packages/client/src/pages/user/reactions.vue +++ b/packages/client/src/pages/user/reactions.vue @@ -25,7 +25,7 @@ diff --git a/packages/client/src/ui/zen.vue b/packages/client/src/ui/zen.vue index d4e6dae87e..869316be88 100644 --- a/packages/client/src/ui/zen.vue +++ b/packages/client/src/ui/zen.vue @@ -18,7 +18,7 @@ import { } from "@/scripts/page-metadata"; import { instanceName } from "@/config"; -let pageMetadata = ref>(); +const pageMetadata = ref>(); provide("router", mainRouter); provideMetadataReceiver((info) => { diff --git a/packages/client/src/widgets/activity.chart.vue b/packages/client/src/widgets/activity.chart.vue index 16f55238c3..b8d099a5a7 100644 --- a/packages/client/src/widgets/activity.chart.vue +++ b/packages/client/src/widgets/activity.chart.vue @@ -40,12 +40,12 @@ const props = defineProps<{ const viewBoxX: number = ref(147); const viewBoxY: number = ref(60); -let zoom: number = ref(1), - pos: number = ref(0), - pointsNote: any = ref(null), - pointsReply: any = ref(null), - pointsRenote: any = ref(null), - pointsTotal: any = ref(null); +const zoom: number = ref(1); +const pos: number = ref(0); +const pointsNote: any = ref(null); +const pointsReply: any = ref(null); +const pointsRenote: any = ref(null); +const pointsTotal: any = ref(null); function dragListen(fn) { window.addEventListener("mousemove", fn); diff --git a/packages/client/src/widgets/clock.vue b/packages/client/src/widgets/clock.vue index a8fa7b8303..93926e4a2b 100644 --- a/packages/client/src/widgets/clock.vue +++ b/packages/client/src/widgets/clock.vue @@ -48,7 +48,6 @@