refactor: remove NSFW media detection
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712D413B3A9FED5C
32 changed files with 137 additions and 11788 deletions
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@ -108,6 +108,8 @@
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### 主要な変更点
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- センシティブなメディアの自動検出機能を削除
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- 誤検知が多く、使っているサーバーもあまり多くないと思ったため（困る場合には教えてください）
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- 非ログインユーザーにもローカルタイムラインとグローバルタイムラインを公開できるように変更
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- コントロールパネルから設定すると `https://server.example.com/timeline` で公開されます
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- 全文検索のエンジンを [PGroonga](https://pgroonga.github.io/) に変更（[tamaina さんの PGroonga パッチ](https://gist.github.com/tamaina/29e88e02d0dc5acfa2f50b3347d3d20d)を拡張）
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@ -270,8 +270,6 @@ const {
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readEnvironmentConfig,
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readServerConfig,
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AntennaSrcEnum,
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MetaSensitivemediadetectionEnum,
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MetaSensitivemediadetectionsensitivityEnum,
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MutedNoteReasonEnum,
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NoteVisibilityEnum,
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NotificationTypeEnum,
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@ -304,10 +302,6 @@ module.exports.EnvConfig = EnvConfig;
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module.exports.readEnvironmentConfig = readEnvironmentConfig;
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module.exports.readServerConfig = readServerConfig;
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module.exports.AntennaSrcEnum = AntennaSrcEnum;
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module.exports.MetaSensitivemediadetectionEnum =
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MetaSensitivemediadetectionEnum;
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module.exports.MetaSensitivemediadetectionsensitivityEnum =
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MetaSensitivemediadetectionsensitivityEnum;
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module.exports.MutedNoteReasonEnum = MutedNoteReasonEnum;
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module.exports.NoteVisibilityEnum = NoteVisibilityEnum;
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module.exports.NotificationTypeEnum = NotificationTypeEnum;
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@ -1,3 +1,15 @@
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-- remove-nsfw-detection
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ALTER TABLE "user_profile" ADD "autoSensitive" boolean NOT NULL DEFAULT false;
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ALTER TABLE "meta" ADD "enableSensitiveMediaDetectionForVideos" boolean NOT NULL DEFAULT false;
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ALTER TABLE "meta" ADD "setSensitiveFlagAutomatically" boolean NOT NULL DEFAULT false;
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CREATE TYPE "public"."meta_sensitivemediadetectionsensitivity_enum" AS ENUM('medium', 'low', 'high', 'veryLow', 'veryHigh');
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ALTER TABLE "meta" ADD "sensitiveMediaDetectionSensitivity" "public"."meta_sensitivemediadetectionsensitivity_enum" NOT NULL DEFAULT 'medium';
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CREATE TYPE "public"."meta_sensitivemediadetection_enum" AS ENUM('none', 'all', 'local', 'remote');
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ALTER TABLE "meta" ADD "sensitiveMediaDetection" "public"."meta_sensitivemediadetection_enum" NOT NULL DEFAULT 'none';
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ALTER TABLE "drive_file" ADD "maybePorn" boolean NOT NULL DEFAULT false;
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ALTER TABLE "drive_file" ADD "maybeSensitive" boolean NOT NULL DEFAULT false;
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COMMENT ON COLUMN "drive_file"."maybeSensitive" IS 'Whether the DriveFile is NSFW. (predict)';
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-- drop-time-zone
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ALTER TABLE "webhook" ALTER "latestSentAt" TYPE timestamp with time zone;
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ALTER TABLE "webhook" ALTER "createdAt" TYPE timestamp with time zone;
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@ -34,7 +34,6 @@
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"@bull-board/api": "5.13.0",
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"@bull-board/ui": "5.13.0",
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"@napi-rs/cli": "2.17.0",
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"@tensorflow/tfjs": "4.16.0",
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"gulp": "4.0.2",
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"gulp-cssnano": "2.1.3",
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"gulp-replace": "1.1.4",
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@ -0,0 +1,64 @@
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export class RemoveNsfwDetection1705848938166 {
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name = "RemoveNsfwDetection1705848938166";
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async up(queryRunner) {
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await queryRunner.query(
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`ALTER TABLE "drive_file" DROP COLUMN "maybeSensitive"`,
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);
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await queryRunner.query(`ALTER TABLE "drive_file" DROP COLUMN "maybePorn"`);
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await queryRunner.query(
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`ALTER TABLE "meta" DROP COLUMN "sensitiveMediaDetection"`,
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);
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await queryRunner.query(
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`DROP TYPE "public"."meta_sensitivemediadetection_enum"`,
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);
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await queryRunner.query(
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`ALTER TABLE "meta" DROP COLUMN "sensitiveMediaDetectionSensitivity"`,
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);
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await queryRunner.query(
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`DROP TYPE "public"."meta_sensitivemediadetectionsensitivity_enum"`,
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);
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await queryRunner.query(
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`ALTER TABLE "meta" DROP COLUMN "setSensitiveFlagAutomatically"`,
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);
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await queryRunner.query(
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`ALTER TABLE "meta" DROP COLUMN "enableSensitiveMediaDetectionForVideos"`,
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);
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await queryRunner.query(
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`ALTER TABLE "user_profile" DROP COLUMN "autoSensitive"`,
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);
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}
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async down(queryRunner) {
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await queryRunner.query(
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`ALTER TABLE "user_profile" ADD "autoSensitive" boolean NOT NULL DEFAULT false`,
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);
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await queryRunner.query(
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`ALTER TABLE "meta" ADD "enableSensitiveMediaDetectionForVideos" boolean NOT NULL DEFAULT false`,
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);
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await queryRunner.query(
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`ALTER TABLE "meta" ADD "setSensitiveFlagAutomatically" boolean NOT NULL DEFAULT false`,
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);
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await queryRunner.query(
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`CREATE TYPE "public"."meta_sensitivemediadetectionsensitivity_enum" AS ENUM('medium', 'low', 'high', 'veryLow', 'veryHigh')`,
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);
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await queryRunner.query(
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`ALTER TABLE "meta" ADD "sensitiveMediaDetectionSensitivity" "public"."meta_sensitivemediadetectionsensitivity_enum" NOT NULL DEFAULT 'medium'`,
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);
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await queryRunner.query(
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`CREATE TYPE "public"."meta_sensitivemediadetection_enum" AS ENUM('none', 'all', 'local', 'remote')`,
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);
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await queryRunner.query(
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`ALTER TABLE "meta" ADD "sensitiveMediaDetection" "public"."meta_sensitivemediadetection_enum" NOT NULL DEFAULT 'none'`,
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);
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await queryRunner.query(
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`ALTER TABLE "drive_file" ADD "maybePorn" boolean NOT NULL DEFAULT false`,
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);
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await queryRunner.query(
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`ALTER TABLE "drive_file" ADD "maybeSensitive" boolean NOT NULL DEFAULT false`,
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);
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await queryRunner.query(
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`COMMENT ON COLUMN "drive_file"."maybeSensitive" IS 'Whether the DriveFile is NSFW. (predict)'`,
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);
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}
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}
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@ -49,10 +49,6 @@ pub struct Model {
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pub request_headers: Option<Json>,
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#[sea_orm(column_name = "requestIp")]
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pub request_ip: Option<String>,
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#[sea_orm(column_name = "maybeSensitive")]
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pub maybe_sensitive: bool,
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#[sea_orm(column_name = "maybePorn")]
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pub maybe_porn: bool,
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}
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#[derive(Copy, Clone, Debug, EnumIter, DeriveRelation)]
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@ -1,7 +1,5 @@
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//! `SeaORM` Entity. Generated by sea-orm-codegen 0.12.10
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use super::sea_orm_active_enums::MetaSensitivemediadetectionEnum;
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use super::sea_orm_active_enums::MetaSensitivemediadetectionsensitivityEnum;
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use sea_orm::entity::prelude::*;
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#[derive(Clone, Debug, PartialEq, DeriveEntityModel, Eq)]
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@ -138,16 +136,8 @@ pub struct Model {
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pub default_light_theme: Option<String>,
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#[sea_orm(column_name = "defaultDarkTheme")]
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pub default_dark_theme: Option<String>,
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#[sea_orm(column_name = "sensitiveMediaDetection")]
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pub sensitive_media_detection: MetaSensitivemediadetectionEnum,
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#[sea_orm(column_name = "sensitiveMediaDetectionSensitivity")]
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pub sensitive_media_detection_sensitivity: MetaSensitivemediadetectionsensitivityEnum,
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#[sea_orm(column_name = "setSensitiveFlagAutomatically")]
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pub set_sensitive_flag_automatically: bool,
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#[sea_orm(column_name = "enableIpLogging")]
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pub enable_ip_logging: bool,
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#[sea_orm(column_name = "enableSensitiveMediaDetectionForVideos")]
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pub enable_sensitive_media_detection_for_videos: bool,
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#[sea_orm(column_name = "enableActiveEmailValidation")]
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pub enable_active_email_validation: bool,
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#[sea_orm(column_name = "customMOTD")]
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@ -21,42 +21,6 @@ pub enum AntennaSrcEnum {
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}
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#[derive(Debug, PartialEq, Eq, EnumIter, DeriveActiveEnum)]
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#[napi_derive::napi]
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#[sea_orm(
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rs_type = "String",
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db_type = "Enum",
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enum_name = "meta_sensitivemediadetection_enum"
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)]
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pub enum MetaSensitivemediadetectionEnum {
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#[sea_orm(string_value = "all")]
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All,
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#[sea_orm(string_value = "local")]
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Local,
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#[sea_orm(string_value = "none")]
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None,
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#[sea_orm(string_value = "remote")]
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Remote,
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}
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#[derive(Debug, PartialEq, Eq, EnumIter, DeriveActiveEnum)]
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#[napi_derive::napi]
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#[sea_orm(
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rs_type = "String",
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db_type = "Enum",
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enum_name = "meta_sensitivemediadetectionsensitivity_enum"
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)]
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pub enum MetaSensitivemediadetectionsensitivityEnum {
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#[sea_orm(string_value = "high")]
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High,
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#[sea_orm(string_value = "low")]
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Low,
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#[sea_orm(string_value = "medium")]
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Medium,
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#[sea_orm(string_value = "veryHigh")]
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VeryHigh,
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#[sea_orm(string_value = "veryLow")]
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VeryLow,
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}
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#[derive(Debug, PartialEq, Eq, EnumIter, DeriveActiveEnum)]
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#[napi_derive::napi]
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#[sea_orm(
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rs_type = "String",
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db_type = "Enum",
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@ -67,8 +67,6 @@ pub struct Model {
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pub public_reactions: bool,
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#[sea_orm(column_name = "ffVisibility")]
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pub ff_visibility: UserProfileFfvisibilityEnum,
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#[sea_orm(column_name = "autoSensitive")]
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pub auto_sensitive: bool,
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#[sea_orm(column_name = "moderationNote")]
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pub moderation_note: String,
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#[sea_orm(column_name = "preventAiLearning")]
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Load diff
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@ -20,8 +20,7 @@
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"format": "pnpm biome format * --write"
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},
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"optionalDependencies": {
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"@swc/core-android-arm64": "1.3.11",
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"@tensorflow/tfjs-node": "4.16.0"
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"@swc/core-android-arm64": "1.3.11"
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},
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"dependencies": {
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"@bull-board/api": "5.13.0",
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@ -35,7 +34,6 @@
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"@peertube/http-signature": "1.7.0",
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"@redocly/openapi-core": "1.6.0",
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"@sinonjs/fake-timers": "11.2.2",
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"@tensorflow/tfjs": "^4.16.0",
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"@twemoji/parser": "^15.0.0",
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"adm-zip": "^0.5.10",
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"ajv": "8.12.0",
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@ -1,18 +1,12 @@
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import * as fs from "node:fs";
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import * as crypto from "node:crypto";
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import { join } from "node:path";
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import * as stream from "node:stream";
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import * as util from "node:util";
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import { FSWatcher } from "chokidar";
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import { fileTypeFromFile } from "file-type";
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import probeImageSize from "probe-image-size";
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import FFmpeg from "fluent-ffmpeg";
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import isSvg from "is-svg";
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import { type predictionType } from "nsfwjs";
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import sharp from "sharp";
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import { encode } from "blurhash";
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import { detectSensitive } from "@/services/detect-sensitive.js";
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import { createTempDir } from "./create-temp.js";
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const pipeline = util.promisify(stream.pipeline);
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@ -27,8 +21,6 @@ export type FileInfo = {
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height?: number;
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orientation?: number;
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blurhash?: string;
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sensitive: boolean;
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porn: boolean;
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warnings: string[];
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};
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@ -45,15 +37,7 @@ const TYPE_SVG = {
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/**
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* Get file information
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*/
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export async function getFileInfo(
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path: string,
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opts: {
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skipSensitiveDetection: boolean;
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sensitiveThreshold?: number;
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sensitiveThresholdForPorn?: number;
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enableSensitiveMediaDetectionForVideos?: boolean;
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},
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): Promise<FileInfo> {
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export async function getFileInfo(path: string): Promise<FileInfo> {
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const warnings = [] as string[];
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const size = await getFileSize(path);
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@ -123,26 +107,6 @@ export async function getFileInfo(
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});
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}
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let sensitive = false;
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let porn = false;
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if (!opts.skipSensitiveDetection) {
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await detectSensitivity(
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path,
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type.mime,
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opts.sensitiveThreshold ?? 0.5,
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opts.sensitiveThresholdForPorn ?? 0.75,
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opts.enableSensitiveMediaDetectionForVideos ?? false,
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).then(
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(value) => {
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[sensitive, porn] = value;
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},
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(error) => {
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warnings.push(`detectSensitivity failed: ${error}`);
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},
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);
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}
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return {
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size,
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md5,
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@ -151,190 +115,10 @@ export async function getFileInfo(
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height,
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orientation,
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blurhash,
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sensitive,
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porn,
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warnings,
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};
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}
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async function detectSensitivity(
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source: string,
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mime: string,
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sensitiveThreshold: number,
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sensitiveThresholdForPorn: number,
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analyzeVideo: boolean,
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): Promise<[sensitive: boolean, porn: boolean]> {
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let sensitive = false;
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let porn = false;
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function judgePrediction(
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result: readonly predictionType[],
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): [sensitive: boolean, porn: boolean] {
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let sensitive = false;
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let porn = false;
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if (
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(result.find((x) => x.className === "Sexy")?.probability ?? 0) >
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sensitiveThreshold
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)
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sensitive = true;
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if (
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(result.find((x) => x.className === "Hentai")?.probability ?? 0) >
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sensitiveThreshold
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)
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sensitive = true;
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if (
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(result.find((x) => x.className === "Porn")?.probability ?? 0) >
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sensitiveThreshold
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)
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sensitive = true;
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if (
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(result.find((x) => x.className === "Porn")?.probability ?? 0) >
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sensitiveThresholdForPorn
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)
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porn = true;
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return [sensitive, porn];
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}
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if (["image/jpeg", "image/png", "image/webp"].includes(mime)) {
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const result = await detectSensitive(source);
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if (result) {
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[sensitive, porn] = judgePrediction(result);
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}
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} else if (
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analyzeVideo &&
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(mime === "image/apng" || mime.startsWith("video/"))
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) {
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const [outDir, disposeOutDir] = await createTempDir();
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try {
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const command = FFmpeg()
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.input(source)
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.inputOptions([
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"-skip_frame",
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"nokey", // 可能ならキーフレームのみを取得してほしいとする（そうなるとは限らない）
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"-lowres",
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"3", // 元の画質でデコードする必要はないので 1/8 画質でデコードしてもよいとする（そうなるとは限らない）
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])
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.noAudio()
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.videoFilters([
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{
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filter: "select", // フレームのフィルタリング
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options: {
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e: "eq(pict_type,PICT_TYPE_I)", // I-Frame のみをフィルタする（VP9 とかはデコードしてみないとわからないっぽい）
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},
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},
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{
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filter: "blackframe", // 暗いフレームの検出
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options: {
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amount: "0", // 暗さに関わらず全てのフレームで測定値を取る
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},
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},
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{
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filter: "metadata",
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options: {
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mode: "select", // フレーム選択モード
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key: "lavfi.blackframe.pblack", // フレームにおける暗部の百分率（前のフィルタからのメタデータを参照する）
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value: "50",
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function: "less", // 50% 未満のフレームを選択する（50% 以上暗部があるフレームだと誤検知を招くかもしれないので）
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},
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},
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{
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filter: "scale",
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options: {
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w: 299,
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h: 299,
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},
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},
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])
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.format("image2")
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.output(join(outDir, "%d.png"))
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.outputOptions(["-vsync", "0"]); // 可変フレームレートにすることで穴埋めをさせない
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const results: ReturnType<typeof judgePrediction>[] = [];
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let frameIndex = 0;
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let targetIndex = 0;
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let nextIndex = 1;
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for await (const path of asyncIterateFrames(outDir, command)) {
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try {
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const index = frameIndex++;
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if (index !== targetIndex) {
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continue;
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}
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targetIndex = nextIndex;
|
||||
nextIndex += index; // fibonacci sequence によってフレーム数制限を掛ける
|
||||
const result = await detectSensitive(path);
|
||||
if (result) {
|
||||
results.push(judgePrediction(result));
|
||||
}
|
||||
} finally {
|
||||
fs.promises.unlink(path);
|
||||
}
|
||||
}
|
||||
sensitive =
|
||||
results.filter((x) => x[0]).length >=
|
||||
Math.ceil(results.length * sensitiveThreshold);
|
||||
porn =
|
||||
results.filter((x) => x[1]).length >=
|
||||
Math.ceil(results.length * sensitiveThresholdForPorn);
|
||||
} finally {
|
||||
disposeOutDir();
|
||||
}
|
||||
}
|
||||
|
||||
return [sensitive, porn];
|
||||
}
|
||||
|
||||
async function* asyncIterateFrames(
|
||||
cwd: string,
|
||||
command: FFmpeg.FfmpegCommand,
|
||||
): AsyncGenerator<string, void> {
|
||||
const watcher = new FSWatcher({
|
||||
cwd,
|
||||
disableGlobbing: true,
|
||||
});
|
||||
let finished = false;
|
||||
command.once("end", () => {
|
||||
finished = true;
|
||||
watcher.close();
|
||||
});
|
||||
command.run();
|
||||
for (let i = 1; true; i++) {
|
||||
const current = `${i}.png`;
|
||||
const next = `${i + 1}.png`;
|
||||
const framePath = join(cwd, current);
|
||||
if (await exists(join(cwd, next))) {
|
||||
yield framePath;
|
||||
} else if (!finished) {
|
||||
watcher.add(next);
|
||||
await new Promise<void>((resolve, reject) => {
|
||||
watcher.on("add", function onAdd(path) {
|
||||
if (path === next) {
|
||||
// 次フレームの書き出しが始まっているなら、現在フレームの書き出しは終わっている
|
||||
watcher.unwatch(current);
|
||||
watcher.off("add", onAdd);
|
||||
resolve();
|
||||
}
|
||||
});
|
||||
command.once("end", resolve); // 全てのフレームを処理し終わったなら、最終フレームである現在フレームの書き出しは終わっている
|
||||
command.once("error", reject);
|
||||
});
|
||||
yield framePath;
|
||||
} else if (await exists(framePath)) {
|
||||
yield framePath;
|
||||
} else {
|
||||
return;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
function exists(path: string): Promise<boolean> {
|
||||
return fs.promises.access(path).then(
|
||||
() => true,
|
||||
() => false,
|
||||
);
|
||||
}
|
||||
|
||||
/**
|
||||
* Detect MIME Type and extension
|
||||
*/
|
||||
|
|
|
|||
|
|
@ -183,19 +183,6 @@ export class DriveFile {
|
|||
})
|
||||
public isSensitive: boolean;
|
||||
|
||||
@Index()
|
||||
@Column("boolean", {
|
||||
default: false,
|
||||
comment: "Whether the DriveFile is NSFW. (predict)",
|
||||
})
|
||||
public maybeSensitive: boolean;
|
||||
|
||||
@Index()
|
||||
@Column("boolean", {
|
||||
default: false,
|
||||
})
|
||||
public maybePorn: boolean;
|
||||
|
||||
/**
|
||||
* 外部の(信頼されていない)URLへの直リンクか否か
|
||||
*/
|
||||
|
|
|
|||
|
|
@ -258,33 +258,6 @@ export class Meta {
|
|||
})
|
||||
public recaptchaSecretKey: string | null;
|
||||
|
||||
@Column("enum", {
|
||||
enum: ["none", "all", "local", "remote"],
|
||||
default: "none",
|
||||
})
|
||||
public sensitiveMediaDetection: "none" | "all" | "local" | "remote";
|
||||
|
||||
@Column("enum", {
|
||||
enum: ["medium", "low", "high", "veryLow", "veryHigh"],
|
||||
default: "medium",
|
||||
})
|
||||
public sensitiveMediaDetectionSensitivity:
|
||||
| "medium"
|
||||
| "low"
|
||||
| "high"
|
||||
| "veryLow"
|
||||
| "veryHigh";
|
||||
|
||||
@Column("boolean", {
|
||||
default: false,
|
||||
})
|
||||
public setSensitiveFlagAutomatically: boolean;
|
||||
|
||||
@Column("boolean", {
|
||||
default: false,
|
||||
})
|
||||
public enableSensitiveMediaDetectionForVideos: boolean;
|
||||
|
||||
@Column("integer", {
|
||||
default: 1024,
|
||||
comment: "Drive capacity of a local user (MB)",
|
||||
|
|
|
|||
|
|
@ -184,11 +184,6 @@ export class UserProfile {
|
|||
})
|
||||
public alwaysMarkNsfw: boolean;
|
||||
|
||||
@Column("boolean", {
|
||||
default: false,
|
||||
})
|
||||
public autoSensitive: boolean;
|
||||
|
||||
@Column("boolean", {
|
||||
default: false,
|
||||
})
|
||||
|
|
|
|||
|
|
@ -548,7 +548,6 @@ export const UserRepository = db.getRepository(User).extend({
|
|||
injectFeaturedNote: profile?.injectFeaturedNote,
|
||||
receiveAnnouncementEmail: profile?.receiveAnnouncementEmail,
|
||||
alwaysMarkNsfw: profile?.alwaysMarkNsfw,
|
||||
autoSensitive: profile?.autoSensitive,
|
||||
carefulBot: profile?.carefulBot,
|
||||
autoAcceptFollowed: profile?.autoAcceptFollowed,
|
||||
noCrawle: profile?.noCrawle,
|
||||
|
|
|
|||
|
|
@ -384,11 +384,6 @@ export const packedMeDetailedOnlySchema = {
|
|||
nullable: true,
|
||||
optional: false,
|
||||
},
|
||||
autoSensitive: {
|
||||
type: "boolean",
|
||||
nullable: true,
|
||||
optional: false,
|
||||
},
|
||||
carefulBot: {
|
||||
type: "boolean",
|
||||
nullable: true,
|
||||
|
|
|
|||
|
|
@ -460,7 +460,7 @@ export const paramDef = {
|
|||
required: [],
|
||||
} as const;
|
||||
|
||||
export default define(meta, paramDef, async (ps) => {
|
||||
export default define(meta, paramDef, async () => {
|
||||
const instance = await fetchMeta(true);
|
||||
|
||||
return {
|
||||
|
|
@ -519,12 +519,10 @@ export default define(meta, paramDef, async (ps) => {
|
|||
secureMode: instance.secureMode,
|
||||
hcaptchaSecretKey: instance.hcaptchaSecretKey,
|
||||
recaptchaSecretKey: instance.recaptchaSecretKey,
|
||||
sensitiveMediaDetection: instance.sensitiveMediaDetection,
|
||||
sensitiveMediaDetectionSensitivity:
|
||||
instance.sensitiveMediaDetectionSensitivity,
|
||||
setSensitiveFlagAutomatically: instance.setSensitiveFlagAutomatically,
|
||||
enableSensitiveMediaDetectionForVideos:
|
||||
instance.enableSensitiveMediaDetectionForVideos,
|
||||
sensitiveMediaDetection: false, // for compatibility
|
||||
sensitiveMediaDetectionSensitivity: "medium", // for compatibility
|
||||
setSensitiveFlagAutomatically: false, // for compatibility
|
||||
enableSensitiveMediaDetectionForVideos: false, // for compatibility
|
||||
proxyAccountId: instance.proxyAccountId,
|
||||
summalyProxy: instance.summalyProxy,
|
||||
email: instance.email,
|
||||
|
|
|
|||
|
|
@ -56,7 +56,7 @@ export default define(meta, paramDef, async (ps, me) => {
|
|||
isIndexable: profile.isIndexable,
|
||||
preventAiLearning: profile.preventAiLearning,
|
||||
alwaysMarkNsfw: profile.alwaysMarkNsfw,
|
||||
autoSensitive: profile.autoSensitive,
|
||||
autoSensitive: false, // for compatibility
|
||||
carefulBot: profile.carefulBot,
|
||||
injectFeaturedNote: profile.injectFeaturedNote,
|
||||
receiveAnnouncementEmail: profile.receiveAnnouncementEmail,
|
||||
|
|
|
|||
|
|
@ -102,16 +102,6 @@ export const paramDef = {
|
|||
enableRecaptcha: { type: "boolean" },
|
||||
recaptchaSiteKey: { type: "string", nullable: true },
|
||||
recaptchaSecretKey: { type: "string", nullable: true },
|
||||
sensitiveMediaDetection: {
|
||||
type: "string",
|
||||
enum: ["none", "all", "local", "remote"],
|
||||
},
|
||||
sensitiveMediaDetectionSensitivity: {
|
||||
type: "string",
|
||||
enum: ["medium", "low", "high", "veryLow", "veryHigh"],
|
||||
},
|
||||
setSensitiveFlagAutomatically: { type: "boolean" },
|
||||
enableSensitiveMediaDetectionForVideos: { type: "boolean" },
|
||||
proxyAccountId: { type: "string", format: "misskey:id", nullable: true },
|
||||
maintainerName: { type: "string", nullable: true },
|
||||
maintainerEmail: { type: "string", nullable: true },
|
||||
|
|
@ -368,24 +358,6 @@ export default define(meta, paramDef, async (ps, me) => {
|
|||
set.recaptchaSecretKey = ps.recaptchaSecretKey;
|
||||
}
|
||||
|
||||
if (ps.sensitiveMediaDetection !== undefined) {
|
||||
set.sensitiveMediaDetection = ps.sensitiveMediaDetection;
|
||||
}
|
||||
|
||||
if (ps.sensitiveMediaDetectionSensitivity !== undefined) {
|
||||
set.sensitiveMediaDetectionSensitivity =
|
||||
ps.sensitiveMediaDetectionSensitivity;
|
||||
}
|
||||
|
||||
if (ps.setSensitiveFlagAutomatically !== undefined) {
|
||||
set.setSensitiveFlagAutomatically = ps.setSensitiveFlagAutomatically;
|
||||
}
|
||||
|
||||
if (ps.enableSensitiveMediaDetectionForVideos !== undefined) {
|
||||
set.enableSensitiveMediaDetectionForVideos =
|
||||
ps.enableSensitiveMediaDetectionForVideos;
|
||||
}
|
||||
|
||||
if (ps.proxyAccountId !== undefined) {
|
||||
set.proxyAccountId = ps.proxyAccountId;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -123,7 +123,6 @@ export const paramDef = {
|
|||
injectFeaturedNote: { type: "boolean" },
|
||||
receiveAnnouncementEmail: { type: "boolean" },
|
||||
alwaysMarkNsfw: { type: "boolean" },
|
||||
autoSensitive: { type: "boolean" },
|
||||
ffVisibility: { type: "string", enum: ["public", "followers", "private"] },
|
||||
pinnedPageId: { type: "string", format: "misskey:id", nullable: true },
|
||||
mutedWords: { type: "array" },
|
||||
|
|
@ -217,8 +216,6 @@ export default define(meta, paramDef, async (ps, _user, token) => {
|
|||
profileUpdates.receiveAnnouncementEmail = ps.receiveAnnouncementEmail;
|
||||
if (typeof ps.alwaysMarkNsfw === "boolean")
|
||||
profileUpdates.alwaysMarkNsfw = ps.alwaysMarkNsfw;
|
||||
if (typeof ps.autoSensitive === "boolean")
|
||||
profileUpdates.autoSensitive = ps.autoSensitive;
|
||||
if (ps.emailNotificationTypes !== undefined)
|
||||
profileUpdates.emailNotificationTypes = ps.emailNotificationTypes;
|
||||
|
||||
|
|
|
|||
|
|
@ -1,55 +0,0 @@
|
|||
import * as fs from "node:fs";
|
||||
import { fileURLToPath } from "node:url";
|
||||
import { dirname } from "node:path";
|
||||
import * as nsfw from "nsfwjs";
|
||||
import si from "systeminformation";
|
||||
|
||||
const _filename = fileURLToPath(import.meta.url);
|
||||
const _dirname = dirname(_filename);
|
||||
|
||||
const REQUIRED_CPU_FLAGS = ["avx2", "fma"];
|
||||
let isSupportedCpu: undefined | boolean = undefined;
|
||||
|
||||
let model: nsfw.NSFWJS;
|
||||
|
||||
export async function detectSensitive(
|
||||
path: string,
|
||||
): Promise<nsfw.predictionType[] | null> {
|
||||
try {
|
||||
if (isSupportedCpu === undefined) {
|
||||
const cpuFlags = await getCpuFlags();
|
||||
isSupportedCpu = REQUIRED_CPU_FLAGS.every((required) =>
|
||||
cpuFlags.includes(required),
|
||||
);
|
||||
}
|
||||
|
||||
if (!isSupportedCpu) {
|
||||
console.error("This CPU cannot use TensorFlow.");
|
||||
return null;
|
||||
}
|
||||
|
||||
const tf = await import("@tensorflow/tfjs-node");
|
||||
|
||||
if (model == null)
|
||||
model = await nsfw.load(`file://${_dirname}/../../nsfw-model/`, {
|
||||
size: 299,
|
||||
});
|
||||
|
||||
const buffer = await fs.promises.readFile(path);
|
||||
const image = (await tf.node.decodeImage(buffer, 3)) as any;
|
||||
try {
|
||||
const predictions = await model.classify(image);
|
||||
return predictions;
|
||||
} finally {
|
||||
image.dispose();
|
||||
}
|
||||
} catch (err) {
|
||||
console.error(err);
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
async function getCpuFlags(): Promise<string[]> {
|
||||
const str = await si.cpuFlags();
|
||||
return str.split(/\s+/);
|
||||
}
|
||||
|
|
@ -469,46 +469,9 @@ export async function addFile({
|
|||
requestIp = null,
|
||||
requestHeaders = null,
|
||||
}: AddFileArgs): Promise<DriveFile> {
|
||||
let skipNsfwCheck = false;
|
||||
const instance = await fetchMeta();
|
||||
if (user == null) skipNsfwCheck = true;
|
||||
if (instance.sensitiveMediaDetection === "none") skipNsfwCheck = true;
|
||||
if (
|
||||
user &&
|
||||
instance.sensitiveMediaDetection === "local" &&
|
||||
Users.isRemoteUser(user)
|
||||
)
|
||||
skipNsfwCheck = true;
|
||||
if (
|
||||
user &&
|
||||
instance.sensitiveMediaDetection === "remote" &&
|
||||
Users.isLocalUser(user)
|
||||
)
|
||||
skipNsfwCheck = true;
|
||||
|
||||
const info = await getFileInfo(path, {
|
||||
skipSensitiveDetection: skipNsfwCheck,
|
||||
sensitiveThreshold: // 感度が高いほどしきい値は低くすることになる
|
||||
instance.sensitiveMediaDetectionSensitivity === "veryHigh"
|
||||
? 0.1
|
||||
: instance.sensitiveMediaDetectionSensitivity === "high"
|
||||
? 0.3
|
||||
: instance.sensitiveMediaDetectionSensitivity === "low"
|
||||
? 0.7
|
||||
: instance.sensitiveMediaDetectionSensitivity === "veryLow"
|
||||
? 0.9
|
||||
: 0.5,
|
||||
sensitiveThresholdForPorn: 0.75,
|
||||
enableSensitiveMediaDetectionForVideos:
|
||||
instance.enableSensitiveMediaDetectionForVideos,
|
||||
});
|
||||
const info = await getFileInfo(path);
|
||||
logger.info(`${JSON.stringify(info)}`);
|
||||
|
||||
// 現状 false positive が多すぎて実用に耐えない
|
||||
//if (info.porn && instance.disallowUploadWhenPredictedAsPorn) {
|
||||
// throw new IdentifiableError('282f77bf-5816-4f72-9264-aa14d8261a21', 'Detected as porn.');
|
||||
//}
|
||||
|
||||
// detect name
|
||||
const detectedName =
|
||||
name || (info.type.ext ? `untitled.${info.type.ext}` : "untitled");
|
||||
|
|
@ -616,8 +579,6 @@ export async function addFile({
|
|||
file.isLink = isLink;
|
||||
file.requestIp = requestIp;
|
||||
file.requestHeaders = requestHeaders;
|
||||
file.maybeSensitive = info.sensitive;
|
||||
file.maybePorn = info.porn;
|
||||
file.isSensitive = user
|
||||
? Users.isLocalUser(user) && profile?.alwaysMarkNsfw
|
||||
? true
|
||||
|
|
@ -626,10 +587,6 @@ export async function addFile({
|
|||
: false
|
||||
: false;
|
||||
|
||||
if (info.sensitive && profile?.autoSensitive) file.isSensitive = true;
|
||||
if (info.sensitive && instance.setSensitiveFlagAutomatically)
|
||||
file.isSensitive = true;
|
||||
|
||||
if (url !== null) {
|
||||
file.src = url;
|
||||
|
||||
|
|
|
|||
|
|
@ -29,114 +29,6 @@
|
|||
<XBotProtection />
|
||||
</FormFolder>
|
||||
|
||||
<FormFolder class="_formBlock">
|
||||
<template #icon
|
||||
><i :class="icon('ph-eye-slash')"></i
|
||||
></template>
|
||||
<template #label>{{
|
||||
i18n.ts.sensitiveMediaDetection
|
||||
}}</template>
|
||||
<template
|
||||
v-if="sensitiveMediaDetection === 'all'"
|
||||
#suffix
|
||||
>{{ i18n.ts.all }}</template
|
||||
>
|
||||
<template
|
||||
v-else-if="sensitiveMediaDetection === 'local'"
|
||||
#suffix
|
||||
>{{ i18n.ts.localOnly }}</template
|
||||
>
|
||||
<template
|
||||
v-else-if="sensitiveMediaDetection === 'remote'"
|
||||
#suffix
|
||||
>{{ i18n.ts.remoteOnly }}</template
|
||||
>
|
||||
<template v-else #suffix>{{ i18n.ts.none }}</template>
|
||||
|
||||
<div class="_formRoot">
|
||||
<span class="_formBlock">{{
|
||||
i18n.ts._sensitiveMediaDetection.description
|
||||
}}</span>
|
||||
|
||||
<FormRadios
|
||||
v-model="sensitiveMediaDetection"
|
||||
class="_formBlock"
|
||||
>
|
||||
<option value="none">{{ i18n.ts.none }}</option>
|
||||
<option value="all">{{ i18n.ts.all }}</option>
|
||||
<option value="local">
|
||||
{{ i18n.ts.localOnly }}
|
||||
</option>
|
||||
<option value="remote">
|
||||
{{ i18n.ts.remoteOnly }}
|
||||
</option>
|
||||
</FormRadios>
|
||||
|
||||
<FormRange
|
||||
v-model="sensitiveMediaDetectionSensitivity"
|
||||
:min="0"
|
||||
:max="4"
|
||||
:step="1"
|
||||
:text-converter="(v) => `${v + 1}`"
|
||||
class="_formBlock"
|
||||
>
|
||||
<template #label>{{
|
||||
i18n.ts._sensitiveMediaDetection.sensitivity
|
||||
}}</template>
|
||||
<template #caption>{{
|
||||
i18n.ts._sensitiveMediaDetection
|
||||
.sensitivityDescription
|
||||
}}</template>
|
||||
</FormRange>
|
||||
|
||||
<FormSwitch
|
||||
v-model="enableSensitiveMediaDetectionForVideos"
|
||||
class="_formBlock"
|
||||
>
|
||||
<template #label
|
||||
>{{
|
||||
i18n.ts._sensitiveMediaDetection
|
||||
.analyzeVideos
|
||||
}}<span class="_beta">{{
|
||||
i18n.ts.beta
|
||||
}}</span></template
|
||||
>
|
||||
<template #caption>{{
|
||||
i18n.ts._sensitiveMediaDetection
|
||||
.analyzeVideosDescription
|
||||
}}</template>
|
||||
</FormSwitch>
|
||||
|
||||
<FormSwitch
|
||||
v-model="setSensitiveFlagAutomatically"
|
||||
class="_formBlock"
|
||||
>
|
||||
<template #label
|
||||
>{{
|
||||
i18n.ts._sensitiveMediaDetection
|
||||
.setSensitiveFlagAutomatically
|
||||
}}
|
||||
({{ i18n.ts.notRecommended }})</template
|
||||
>
|
||||
<template #caption>{{
|
||||
i18n.ts._sensitiveMediaDetection
|
||||
.setSensitiveFlagAutomaticallyDescription
|
||||
}}</template>
|
||||
</FormSwitch>
|
||||
|
||||
<!-- 現状 false positive が多すぎて実用に耐えない
|
||||
<FormSwitch v-model="disallowUploadWhenPredictedAsPorn" class="_formBlock">
|
||||
<template #label>{{ i18n.ts._sensitiveMediaDetection.disallowUploadWhenPredictedAsPorn }}</template>
|
||||
</FormSwitch>
|
||||
-->
|
||||
|
||||
<FormButton primary class="_formBlock" @click="save"
|
||||
><i :class="icon('ph-floppy-disk-back')"></i>
|
||||
{{ i18n.ts.save }}</FormButton
|
||||
>
|
||||
</div>
|
||||
</FormFolder>
|
||||
|
||||
<FormFolder class="_formBlock">
|
||||
<template #label>Active Email Validation</template>
|
||||
<template v-if="enableActiveEmailValidation" #suffix
|
||||
|
|
@ -253,10 +145,8 @@ import { computed, ref } from "vue";
|
|||
|
||||
import XBotProtection from "./bot-protection.vue";
|
||||
import FormFolder from "@/components/form/folder.vue";
|
||||
import FormRadios from "@/components/form/radios.vue";
|
||||
import FormSwitch from "@/components/form/switch.vue";
|
||||
import FormSuspense from "@/components/form/suspense.vue";
|
||||
import FormRange from "@/components/form/range.vue";
|
||||
import FormInput from "@/components/form/input.vue";
|
||||
import FormTextarea from "@/components/form/textarea.vue";
|
||||
import FormButton from "@/components/MkButton.vue";
|
||||
|
|
@ -269,10 +159,6 @@ import icon from "@/scripts/icon";
|
|||
const summalyProxy = ref("");
|
||||
const enableHcaptcha = ref(false);
|
||||
const enableRecaptcha = ref(false);
|
||||
const sensitiveMediaDetection = ref("none");
|
||||
const sensitiveMediaDetectionSensitivity = ref(0);
|
||||
const setSensitiveFlagAutomatically = ref(false);
|
||||
const enableSensitiveMediaDetectionForVideos = ref(false);
|
||||
const enableIpLogging = ref(false);
|
||||
const enableActiveEmailValidation = ref(false);
|
||||
|
||||
|
|
@ -285,22 +171,6 @@ async function init() {
|
|||
summalyProxy.value = meta.summalyProxy;
|
||||
enableHcaptcha.value = meta.enableHcaptcha;
|
||||
enableRecaptcha.value = meta.enableRecaptcha;
|
||||
sensitiveMediaDetection.value = meta.sensitiveMediaDetection;
|
||||
sensitiveMediaDetectionSensitivity.value =
|
||||
meta.sensitiveMediaDetectionSensitivity === "veryLow"
|
||||
? 0
|
||||
: meta.sensitiveMediaDetectionSensitivity === "low"
|
||||
? 1
|
||||
: meta.sensitiveMediaDetectionSensitivity === "medium"
|
||||
? 2
|
||||
: meta.sensitiveMediaDetectionSensitivity === "high"
|
||||
? 3
|
||||
: meta.sensitiveMediaDetectionSensitivity === "veryHigh"
|
||||
? 4
|
||||
: 0;
|
||||
setSensitiveFlagAutomatically.value = meta.setSensitiveFlagAutomatically;
|
||||
enableSensitiveMediaDetectionForVideos.value =
|
||||
meta.enableSensitiveMediaDetectionForVideos;
|
||||
enableIpLogging.value = meta.enableIpLogging;
|
||||
enableActiveEmailValidation.value = meta.enableActiveEmailValidation;
|
||||
|
||||
|
|
@ -312,22 +182,6 @@ async function init() {
|
|||
function save() {
|
||||
os.apiWithDialog("admin/update-meta", {
|
||||
summalyProxy: summalyProxy.value,
|
||||
sensitiveMediaDetection: sensitiveMediaDetection.value,
|
||||
sensitiveMediaDetectionSensitivity:
|
||||
sensitiveMediaDetectionSensitivity.value === 0
|
||||
? "veryLow"
|
||||
: sensitiveMediaDetectionSensitivity.value === 1
|
||||
? "low"
|
||||
: sensitiveMediaDetectionSensitivity.value === 2
|
||||
? "medium"
|
||||
: sensitiveMediaDetectionSensitivity.value === 3
|
||||
? "high"
|
||||
: sensitiveMediaDetectionSensitivity.value === 4
|
||||
? "veryHigh"
|
||||
: 0,
|
||||
setSensitiveFlagAutomatically: setSensitiveFlagAutomatically.value,
|
||||
enableSensitiveMediaDetectionForVideos:
|
||||
enableSensitiveMediaDetectionForVideos.value,
|
||||
enableIpLogging: enableIpLogging.value,
|
||||
enableActiveEmailValidation: enableActiveEmailValidation.value,
|
||||
}).then(() => {
|
||||
|
|
|
|||
|
|
@ -40,19 +40,6 @@
|
|||
>
|
||||
<template #label>{{ i18n.ts.alwaysMarkSensitive }}</template>
|
||||
</FormSwitch>
|
||||
<FormSwitch
|
||||
v-model="autoSensitive"
|
||||
class="_formBlock"
|
||||
@update:modelValue="saveProfile()"
|
||||
>
|
||||
<template #label
|
||||
>{{ i18n.ts.enableAutoSensitive
|
||||
}}<span class="_beta">{{ i18n.ts.beta }}</span></template
|
||||
>
|
||||
<template #caption>{{
|
||||
i18n.ts.enableAutoSensitiveDescription
|
||||
}}</template>
|
||||
</FormSwitch>
|
||||
</FormSection>
|
||||
</div>
|
||||
</template>
|
||||
|
|
@ -78,7 +65,6 @@ const usage = ref<any>(null);
|
|||
const capacity = ref<any>(null);
|
||||
const uploadFolder = ref<any>(null);
|
||||
const alwaysMarkNsfw = ref<boolean>(isSignedIn && $i.alwaysMarkNsfw);
|
||||
const autoSensitive = ref<boolean>(isSignedIn && $i.autoSensitive);
|
||||
|
||||
const meterStyle = computed(() => {
|
||||
return {
|
||||
|
|
@ -126,7 +112,6 @@ function chooseUploadFolder() {
|
|||
function saveProfile() {
|
||||
os.api("i/update", {
|
||||
alwaysMarkNsfw: !!alwaysMarkNsfw.value,
|
||||
autoSensitive: !!autoSensitive.value,
|
||||
});
|
||||
}
|
||||
|
||||
|
|
|
|||
251
pnpm-lock.yaml
251
pnpm-lock.yaml
|
|
@ -17,9 +17,6 @@ importers:
|
|||
'@napi-rs/cli':
|
||||
specifier: 2.17.0
|
||||
version: 2.17.0
|
||||
'@tensorflow/tfjs':
|
||||
specifier: 4.16.0
|
||||
version: 4.16.0(seedrandom@3.0.5)
|
||||
gulp:
|
||||
specifier: 4.0.2
|
||||
version: 4.0.2
|
||||
|
|
@ -99,9 +96,6 @@ importers:
|
|||
'@sinonjs/fake-timers':
|
||||
specifier: 11.2.2
|
||||
version: 11.2.2
|
||||
'@tensorflow/tfjs':
|
||||
specifier: ^4.16.0
|
||||
version: 4.16.0(seedrandom@3.0.5)
|
||||
'@twemoji/parser':
|
||||
specifier: ^15.0.0
|
||||
version: 15.0.0
|
||||
|
|
@ -275,7 +269,7 @@ importers:
|
|||
version: 6.9.8
|
||||
nsfwjs:
|
||||
specifier: 2.4.2
|
||||
version: 2.4.2(@tensorflow/tfjs@4.16.0)
|
||||
version: 2.4.2(@tensorflow/tfjs@3.21.0)
|
||||
opencc-js:
|
||||
specifier: 1.0.5
|
||||
version: 1.0.5
|
||||
|
|
@ -391,9 +385,6 @@ importers:
|
|||
'@swc/core-android-arm64':
|
||||
specifier: 1.3.11
|
||||
version: 1.3.11
|
||||
'@tensorflow/tfjs-node':
|
||||
specifier: 4.16.0
|
||||
version: 4.16.0(seedrandom@3.0.5)
|
||||
devDependencies:
|
||||
'@swc/cli':
|
||||
specifier: 0.1.63
|
||||
|
|
@ -2934,26 +2925,6 @@ packages:
|
|||
- supports-color
|
||||
dev: false
|
||||
|
||||
/@mapbox/node-pre-gyp@1.0.9:
|
||||
resolution: {integrity: sha512-aDF3S3rK9Q2gey/WAttUlISduDItz5BU3306M9Eyv6/oS40aMprnopshtlKTykxRNIBEZuRMaZAnbrQ4QtKGyw==}
|
||||
hasBin: true
|
||||
requiresBuild: true
|
||||
dependencies:
|
||||
detect-libc: 2.0.2
|
||||
https-proxy-agent: 5.0.1
|
||||
make-dir: 3.1.0
|
||||
node-fetch: 2.7.0
|
||||
nopt: 5.0.0
|
||||
npmlog: 5.0.1
|
||||
rimraf: 3.0.2
|
||||
semver: 7.5.4
|
||||
tar: 6.2.0
|
||||
transitivePeerDependencies:
|
||||
- encoding
|
||||
- supports-color
|
||||
dev: false
|
||||
optional: true
|
||||
|
||||
/@microsoft/tsdoc-config@0.16.2:
|
||||
resolution: {integrity: sha512-OGiIzzoBLgWWR0UdRJX98oYO+XKGf7tiK4Zk6tQ/E4IJqGCe7dvkTvgDZV5cFJUzLGDOjeAXrnZoA6QkVySuxw==}
|
||||
dependencies:
|
||||
|
|
@ -3515,46 +3486,49 @@ packages:
|
|||
defer-to-connect: 2.0.1
|
||||
dev: false
|
||||
|
||||
/@tensorflow/tfjs-backend-cpu@4.16.0(@tensorflow/tfjs-core@4.16.0):
|
||||
resolution: {integrity: sha512-bQFu7FTUgqgss1AwnqSwQ1f02IPrfLLc2lLn5pyyVrS6Ex7zA6Y4YkfktqoJSRE6LlRZv3vxSriUGE1avRe4qQ==}
|
||||
/@tensorflow/tfjs-backend-cpu@3.21.0(@tensorflow/tfjs-core@3.21.0):
|
||||
resolution: {integrity: sha512-88S21UAdzyK0CsLUrH17GPTD+26E85OP9CqmLZslaWjWUmBkeTQ5Zqyp6iK+gELnLxPx6q7JsNEeFuPv4254lQ==}
|
||||
engines: {yarn: '>= 1.3.2'}
|
||||
peerDependencies:
|
||||
'@tensorflow/tfjs-core': 4.16.0
|
||||
'@tensorflow/tfjs-core': 3.21.0
|
||||
dependencies:
|
||||
'@tensorflow/tfjs-core': 4.16.0
|
||||
'@tensorflow/tfjs-core': 3.21.0
|
||||
'@types/seedrandom': 2.4.34
|
||||
seedrandom: 3.0.5
|
||||
dev: false
|
||||
|
||||
/@tensorflow/tfjs-backend-webgl@4.16.0(@tensorflow/tfjs-core@4.16.0):
|
||||
resolution: {integrity: sha512-cIGZWuY892iwTRokbDj3qsLi0AlpQn+U7rzB1mddhHrWr9kBXrrnAvIq0h2aiFzRFNePWUcsbgK+HmYG32kosg==}
|
||||
/@tensorflow/tfjs-backend-webgl@3.21.0(@tensorflow/tfjs-core@3.21.0):
|
||||
resolution: {integrity: sha512-N4zitIAT9IX8B8oe489qM3f3VcESxGZIZvHmVP8varOQakTvTX859aaPo1s8hK1qCy4BjSGbweooZe4U8D4kTQ==}
|
||||
engines: {yarn: '>= 1.3.2'}
|
||||
peerDependencies:
|
||||
'@tensorflow/tfjs-core': 4.16.0
|
||||
'@tensorflow/tfjs-core': 3.21.0
|
||||
dependencies:
|
||||
'@tensorflow/tfjs-backend-cpu': 4.16.0(@tensorflow/tfjs-core@4.16.0)
|
||||
'@tensorflow/tfjs-core': 4.16.0
|
||||
'@tensorflow/tfjs-backend-cpu': 3.21.0(@tensorflow/tfjs-core@3.21.0)
|
||||
'@tensorflow/tfjs-core': 3.21.0
|
||||
'@types/offscreencanvas': 2019.3.0
|
||||
'@types/seedrandom': 2.4.34
|
||||
'@types/webgl-ext': 0.0.30
|
||||
'@types/webgl2': 0.0.6
|
||||
seedrandom: 3.0.5
|
||||
dev: false
|
||||
|
||||
/@tensorflow/tfjs-converter@4.16.0(@tensorflow/tfjs-core@4.16.0):
|
||||
resolution: {integrity: sha512-gd8dHl9tqEPQOHZLAUza713nKr42rpvUXrtm7yUhk10THvJT6TXe9Q2AJKmni8J3vfR+ghsCh77F8D4RbShx1Q==}
|
||||
/@tensorflow/tfjs-converter@3.21.0(@tensorflow/tfjs-core@3.21.0):
|
||||
resolution: {integrity: sha512-12Y4zVDq3yW+wSjSDpSv4HnpL2sDZrNiGSg8XNiDE4HQBdjdA+a+Q3sZF/8NV9y2yoBhL5L7V4mMLDdbZBd9/Q==}
|
||||
peerDependencies:
|
||||
'@tensorflow/tfjs-core': 4.16.0
|
||||
'@tensorflow/tfjs-core': 3.21.0
|
||||
dependencies:
|
||||
'@tensorflow/tfjs-core': 4.16.0
|
||||
'@tensorflow/tfjs-core': 3.21.0
|
||||
dev: false
|
||||
|
||||
/@tensorflow/tfjs-core@4.16.0:
|
||||
resolution: {integrity: sha512-MarAtO+Up6wA8pI9QDpQOwwJgb/imYMN++tsoaalyOEE9+B5HS4lQldxDJKXO8Frf4DyXf4FItJktEXaiPfRHw==}
|
||||
/@tensorflow/tfjs-core@3.21.0:
|
||||
resolution: {integrity: sha512-YSfsswOqWfd+M4bXIhT3hwtAb+IV8+ODwIxwdFR/7jTAPZP1wMVnSlpKnXHAN64HFOiP+Tm3HmKusEZ0+09A0w==}
|
||||
engines: {yarn: '>= 1.3.2'}
|
||||
dependencies:
|
||||
'@types/long': 4.0.2
|
||||
'@types/offscreencanvas': 2019.7.3
|
||||
'@types/offscreencanvas': 2019.3.0
|
||||
'@types/seedrandom': 2.4.34
|
||||
'@webgpu/types': 0.1.38
|
||||
'@types/webgl-ext': 0.0.30
|
||||
'@webgpu/types': 0.1.16
|
||||
long: 4.0.0
|
||||
node-fetch: 2.6.13
|
||||
seedrandom: 3.0.5
|
||||
|
|
@ -3562,13 +3536,13 @@ packages:
|
|||
- encoding
|
||||
dev: false
|
||||
|
||||
/@tensorflow/tfjs-data@4.16.0(@tensorflow/tfjs-core@4.16.0)(seedrandom@3.0.5):
|
||||
resolution: {integrity: sha512-HAmB4/3mvR1t/fuxu4Vx7hEGb4w8EcJoPNlzRHLr0+cYOApii6HQ/OksCcp7Ll8JoCb/SruVR3En3WSjSUu8YQ==}
|
||||
/@tensorflow/tfjs-data@3.21.0(@tensorflow/tfjs-core@3.21.0)(seedrandom@3.0.5):
|
||||
resolution: {integrity: sha512-eFLfw2wIcFNxnP2Iv/SnVlihehzKMumk1b5Prcx1ixk/SbkCo5u0Lt7OVOWaEOKVqvB2sT+dJcTjAh6lrCC/QA==}
|
||||
peerDependencies:
|
||||
'@tensorflow/tfjs-core': 4.16.0
|
||||
'@tensorflow/tfjs-core': 3.21.0
|
||||
seedrandom: ^3.0.5
|
||||
dependencies:
|
||||
'@tensorflow/tfjs-core': 4.16.0
|
||||
'@tensorflow/tfjs-core': 3.21.0
|
||||
'@types/node-fetch': 2.6.11
|
||||
node-fetch: 2.6.13
|
||||
seedrandom: 3.0.5
|
||||
|
|
@ -3577,47 +3551,27 @@ packages:
|
|||
- encoding
|
||||
dev: false
|
||||
|
||||
/@tensorflow/tfjs-layers@4.16.0(@tensorflow/tfjs-core@4.16.0):
|
||||
resolution: {integrity: sha512-LNsbIF3SX45gG2FGo/34IPU+ObRCY5Z2znnp8cSqNZ96v52Q3nZ8GbyjYU9xDHv7eREKTSC2Aga2eGZ9Hfsl/g==}
|
||||
/@tensorflow/tfjs-layers@3.21.0(@tensorflow/tfjs-core@3.21.0):
|
||||
resolution: {integrity: sha512-CMVXsraakXgnXEnqD9QbtResA7nvV7Jz20pGmjFIodcQkClgmFFhdCG5N+zlVRHEz7VKG2OyfhltZ0dBq/OAhA==}
|
||||
peerDependencies:
|
||||
'@tensorflow/tfjs-core': 4.16.0
|
||||
'@tensorflow/tfjs-core': 3.21.0
|
||||
dependencies:
|
||||
'@tensorflow/tfjs-core': 4.16.0
|
||||
'@tensorflow/tfjs-core': 3.21.0
|
||||
dev: false
|
||||
|
||||
/@tensorflow/tfjs-node@4.16.0(seedrandom@3.0.5):
|
||||
resolution: {integrity: sha512-cjGaZzxTAHlGbXmmoyWcNVUcYb4urWnhaJ69zMdYlfdVkT1ShhopVjP1p1S9V93w2DqMn/fndAMICbj+LWBVeg==}
|
||||
engines: {node: '>=8.11.0'}
|
||||
requiresBuild: true
|
||||
dependencies:
|
||||
'@mapbox/node-pre-gyp': 1.0.9
|
||||
'@tensorflow/tfjs': 4.16.0(seedrandom@3.0.5)
|
||||
adm-zip: 0.5.10
|
||||
google-protobuf: 3.21.2
|
||||
https-proxy-agent: 2.2.4
|
||||
progress: 2.0.3
|
||||
rimraf: 2.7.1
|
||||
tar: 4.4.19
|
||||
transitivePeerDependencies:
|
||||
- encoding
|
||||
- seedrandom
|
||||
- supports-color
|
||||
dev: false
|
||||
optional: true
|
||||
|
||||
/@tensorflow/tfjs@4.16.0(seedrandom@3.0.5):
|
||||
resolution: {integrity: sha512-wBs29w1rsE6XpKdwJ7vrxGJ+nbyU7+51Pgj1ZhLFdv5ZXwF5irHbNX1DegSd/8VbHPEY6mQSPvEuSe1mIhMw5Q==}
|
||||
/@tensorflow/tfjs@3.21.0(seedrandom@3.0.5):
|
||||
resolution: {integrity: sha512-khcARd3/872llL/oF4ouR40qlT71mylU66PGT8kHP/GJ5YKj44sv8lDRjU7lOVlJK7jsJFWEsNVHI3eMc/GWNQ==}
|
||||
hasBin: true
|
||||
dependencies:
|
||||
'@tensorflow/tfjs-backend-cpu': 4.16.0(@tensorflow/tfjs-core@4.16.0)
|
||||
'@tensorflow/tfjs-backend-webgl': 4.16.0(@tensorflow/tfjs-core@4.16.0)
|
||||
'@tensorflow/tfjs-converter': 4.16.0(@tensorflow/tfjs-core@4.16.0)
|
||||
'@tensorflow/tfjs-core': 4.16.0
|
||||
'@tensorflow/tfjs-data': 4.16.0(@tensorflow/tfjs-core@4.16.0)(seedrandom@3.0.5)
|
||||
'@tensorflow/tfjs-layers': 4.16.0(@tensorflow/tfjs-core@4.16.0)
|
||||
'@tensorflow/tfjs-backend-cpu': 3.21.0(@tensorflow/tfjs-core@3.21.0)
|
||||
'@tensorflow/tfjs-backend-webgl': 3.21.0(@tensorflow/tfjs-core@3.21.0)
|
||||
'@tensorflow/tfjs-converter': 3.21.0(@tensorflow/tfjs-core@3.21.0)
|
||||
'@tensorflow/tfjs-core': 3.21.0
|
||||
'@tensorflow/tfjs-data': 3.21.0(@tensorflow/tfjs-core@3.21.0)(seedrandom@3.0.5)
|
||||
'@tensorflow/tfjs-layers': 3.21.0(@tensorflow/tfjs-core@3.21.0)
|
||||
argparse: 1.0.10
|
||||
chalk: 4.1.2
|
||||
core-js: 3.29.1
|
||||
core-js: 3.33.2
|
||||
regenerator-runtime: 0.13.11
|
||||
yargs: 16.2.0
|
||||
transitivePeerDependencies:
|
||||
|
|
@ -4064,10 +4018,6 @@ packages:
|
|||
resolution: {integrity: sha512-esIJx9bQg+QYF0ra8GnvfianIY8qWB0GBx54PK5Eps6m+xTj86KLavHv6qDhzKcu5UUOgNfJ2pWaIIV7TRUd9Q==}
|
||||
dev: false
|
||||
|
||||
/@types/offscreencanvas@2019.7.3:
|
||||
resolution: {integrity: sha512-ieXiYmgSRXUDeOntE1InxjWyvEelZGP63M+cGuquuRLuIKKT1osnkXjxev9B7d1nXSug5vpunx+gNlbVxMlC9A==}
|
||||
dev: false
|
||||
|
||||
/@types/opencc-js@1.0.3:
|
||||
resolution: {integrity: sha512-TENp7YkI2hNlc4dplhivSHj0hU4DORCK56VY7rniaSfA5f87uD3uv+kPIRuH9h64TGv976iVFi4gEHZZtS2y8Q==}
|
||||
dev: true
|
||||
|
|
@ -4245,6 +4195,14 @@ packages:
|
|||
'@types/node': 20.11.5
|
||||
dev: true
|
||||
|
||||
/@types/webgl-ext@0.0.30:
|
||||
resolution: {integrity: sha512-LKVgNmBxN0BbljJrVUwkxwRYqzsAEPcZOe6S2T6ZaBDIrFp0qu4FNlpc5sM1tGbXUYFgdVQIoeLk1Y1UoblyEg==}
|
||||
dev: false
|
||||
|
||||
/@types/webgl2@0.0.6:
|
||||
resolution: {integrity: sha512-50GQhDVTq/herLMiqSQkdtRu+d5q/cWHn4VvKJtrj4DJAjo1MNkWYa2MA41BaBO1q1HgsUjuQvEOk0QHvlnAaQ==}
|
||||
dev: false
|
||||
|
||||
/@types/websocket@1.0.10:
|
||||
resolution: {integrity: sha512-svjGZvPB7EzuYS94cI7a+qhwgGU1y89wUgjT6E2wVUfmAGIvRfT7obBvRtnhXCSsoMdlG4gBFGE7MfkIXZLoww==}
|
||||
dependencies:
|
||||
|
|
@ -4846,8 +4804,8 @@ packages:
|
|||
'@xtuc/long': 4.2.2
|
||||
dev: true
|
||||
|
||||
/@webgpu/types@0.1.38:
|
||||
resolution: {integrity: sha512-7LrhVKz2PRh+DD7+S+PVaFd5HxaWQvoMqBbsV9fNJO1pjUs1P8bM2vQVNfk+3URTqbuTI7gkXi0rfsN0IadoBA==}
|
||||
/@webgpu/types@0.1.16:
|
||||
resolution: {integrity: sha512-9E61voMP4+Rze02jlTXud++Htpjyyk8vw5Hyw9FGRrmhHQg2GqbuOfwf5Klrb8vTxc2XWI3EfO7RUHMpxTj26A==}
|
||||
dev: false
|
||||
|
||||
/@xtuc/ieee754@1.2.0:
|
||||
|
|
@ -4918,15 +4876,6 @@ packages:
|
|||
engines: {node: '>=6.0'}
|
||||
dev: false
|
||||
|
||||
/agent-base@4.3.0:
|
||||
resolution: {integrity: sha512-salcGninV0nPrwpGNn4VTXBb1SOuXQBiqbrNXoeizJsHrsL6ERFM2Ne3JUSBWRE6aeNJI2ROP/WEEIDUiDe3cg==}
|
||||
engines: {node: '>= 4.0.0'}
|
||||
requiresBuild: true
|
||||
dependencies:
|
||||
es6-promisify: 5.0.0
|
||||
dev: false
|
||||
optional: true
|
||||
|
||||
/agent-base@6.0.2:
|
||||
resolution: {integrity: sha512-RZNwNclF7+MS/8bDg70amg32dyeZGZxiDuQmZxKLAlQjr3jGyLx+4Kkk58UO7D2QdgFIQCovuSuZESne6RG6XQ==}
|
||||
engines: {node: '>= 6.0.0'}
|
||||
|
|
@ -6267,12 +6216,6 @@ packages:
|
|||
optionalDependencies:
|
||||
fsevents: 2.3.3
|
||||
|
||||
/chownr@1.1.4:
|
||||
resolution: {integrity: sha512-jJ0bqzaylmJtVnNgzTeSOs8DPavpbYgEr/b0YL8/2GO3xJEhInFmhKMUnEJQjZumK7KXGFhUy89PrsJWlakBVg==}
|
||||
requiresBuild: true
|
||||
dev: false
|
||||
optional: true
|
||||
|
||||
/chownr@2.0.0:
|
||||
resolution: {integrity: sha512-bIomtDF5KGpdogkLd9VspvFzk9KfpyyGlS8YFVZl7TGPBHL5snIOnxeshwVgPteQ9b4Eydl+pVbIyE1DcvCWgQ==}
|
||||
engines: {node: '>=10'}
|
||||
|
|
@ -6910,15 +6853,9 @@ packages:
|
|||
resolution: {integrity: sha512-3DdaFaU/Zf1AnpLiFDeNCD4TOWe3Zl2RZaTzUvWiIk5ERzcCodOE20Vqq4fzCbNoHURFHT4/us/Lfq+S2zyY4w==}
|
||||
dev: false
|
||||
|
||||
/core-js@3.29.1:
|
||||
resolution: {integrity: sha512-+jwgnhg6cQxKYIIjGtAHq2nwUOolo9eoFZ4sHfUH09BLXBgxnH4gA0zEd+t+BO2cNB8idaBtZFcFTRjQJRJmAw==}
|
||||
requiresBuild: true
|
||||
dev: false
|
||||
|
||||
/core-js@3.33.2:
|
||||
resolution: {integrity: sha512-XeBzWI6QL3nJQiHmdzbAOiMYqjrb7hwU7A39Qhvd/POSa/t9E1AeZyEZx3fNvp/vtM8zXwhoL0FsiS0hD0pruQ==}
|
||||
requiresBuild: true
|
||||
dev: true
|
||||
|
||||
/core-util-is@1.0.2:
|
||||
resolution: {integrity: sha512-3lqz5YjWTYnW6dlDa5TLaTCcShfar1e40rmcJVwCBJC6mWlFuj0eCHIElmG1g5kyuJ/GD+8Wn4FFCcz4gJPfaQ==}
|
||||
|
|
@ -7757,20 +7694,6 @@ packages:
|
|||
es6-symbol: 3.1.3
|
||||
dev: false
|
||||
|
||||
/es6-promise@4.2.8:
|
||||
resolution: {integrity: sha512-HJDGx5daxeIvxdBxvG2cb9g4tEvwIk3i8+nhX0yGrYmZUzbkdg8QbDevheDB8gd0//uPj4c1EQua8Q+MViT0/w==}
|
||||
requiresBuild: true
|
||||
dev: false
|
||||
optional: true
|
||||
|
||||
/es6-promisify@5.0.0:
|
||||
resolution: {integrity: sha512-C+d6UdsYDk0lMebHNR4S2NybQMMngAOnOwYBQjTOiv0MkoJMP0Myw2mgpDLBcpfCmRLxyFqYhS/CfOENq4SJhQ==}
|
||||
requiresBuild: true
|
||||
dependencies:
|
||||
es6-promise: 4.2.8
|
||||
dev: false
|
||||
optional: true
|
||||
|
||||
/es6-symbol@3.1.3:
|
||||
resolution: {integrity: sha512-NJ6Yn3FuDinBaBRWl/q5X/s4koRHBrgKAu+yGI6JCBeiu3qrcbJhwT2GeR/EXVfylRk8dpQVJoLEFhK+Mu31NA==}
|
||||
dependencies:
|
||||
|
|
@ -9364,14 +9287,6 @@ packages:
|
|||
universalify: 0.1.2
|
||||
dev: false
|
||||
|
||||
/fs-minipass@1.2.7:
|
||||
resolution: {integrity: sha512-GWSSJGFy4e9GUeCcbIkED+bgAoFyj7XF1mV8rma3QW4NIqX9Kyx79N/PF61H5udOV3aY1IaMLs6pGbH71nlCTA==}
|
||||
requiresBuild: true
|
||||
dependencies:
|
||||
minipass: 2.9.0
|
||||
dev: false
|
||||
optional: true
|
||||
|
||||
/fs-minipass@2.1.0:
|
||||
resolution: {integrity: sha512-V/JgOLFCS+R6Vcq0slCuaeWEdNC3ouDlJMNIsacH2VtALiu9mV4LPrHc5cDl8k5aw6J8jwgWWpiTo5RYhmIzvg==}
|
||||
engines: {node: '>= 8'}
|
||||
|
|
@ -9734,12 +9649,6 @@ packages:
|
|||
sparkles: 1.0.1
|
||||
dev: false
|
||||
|
||||
/google-protobuf@3.21.2:
|
||||
resolution: {integrity: sha512-3MSOYFO5U9mPGikIYCzK0SaThypfGgS6bHqrUGXG3DPHCrb+txNqeEcns1W0lkGfk0rCyNXm7xB9rMxnCiZOoA==}
|
||||
requiresBuild: true
|
||||
dev: false
|
||||
optional: true
|
||||
|
||||
/gopd@1.0.1:
|
||||
resolution: {integrity: sha512-d65bNlIadxvpb/A2abVdlqKqV563juRnZ1Wtk6s1sIR8uNsXR70xqIzVqxVf1eTqDunwT2MkczEeaezCKTZhwA==}
|
||||
dependencies:
|
||||
|
|
@ -10166,18 +10075,6 @@ packages:
|
|||
engines: {node: '>=16'}
|
||||
dev: false
|
||||
|
||||
/https-proxy-agent@2.2.4:
|
||||
resolution: {integrity: sha512-OmvfoQ53WLjtA9HeYP9RNrWMJzzAz1JGaSFr1nijg0PVR1JaD/xbJq1mdEIIlxGpXp9eSe/O2LgU9DJmTPd0Eg==}
|
||||
engines: {node: '>= 4.5.0'}
|
||||
requiresBuild: true
|
||||
dependencies:
|
||||
agent-base: 4.3.0
|
||||
debug: 3.2.7
|
||||
transitivePeerDependencies:
|
||||
- supports-color
|
||||
dev: false
|
||||
optional: true
|
||||
|
||||
/https-proxy-agent@5.0.1:
|
||||
resolution: {integrity: sha512-dFcAjpTQFgoLMzC2VwU+C/CbS7uRL0lWmxDITmqm7C+7F0Odmj6s9l6alZc6AELXhrnggM2CeWSXHGOdX2YtwA==}
|
||||
engines: {node: '>= 6'}
|
||||
|
|
@ -12563,15 +12460,6 @@ packages:
|
|||
minipass: 3.3.6
|
||||
dev: false
|
||||
|
||||
/minipass@2.9.0:
|
||||
resolution: {integrity: sha512-wxfUjg9WebH+CUDX/CdbRlh5SmfZiy/hpkxaRI16Y9W56Pa75sWgd/rvFilSgrauD9NyFymP/+JFV3KwzIsJeg==}
|
||||
requiresBuild: true
|
||||
dependencies:
|
||||
safe-buffer: 5.2.1
|
||||
yallist: 3.1.1
|
||||
dev: false
|
||||
optional: true
|
||||
|
||||
/minipass@3.3.6:
|
||||
resolution: {integrity: sha512-DxiNidxSEK+tHG6zOIklvNOwm3hvCrbUrdtzY74U6HKTJxvIDfOUL5W5P2Ghd3DTkhhKPYGqeNUIh5qcM4YBfw==}
|
||||
engines: {node: '>=8'}
|
||||
|
|
@ -12590,14 +12478,6 @@ packages:
|
|||
engines: {node: '>=16 || 14 >=14.17'}
|
||||
dev: false
|
||||
|
||||
/minizlib@1.3.3:
|
||||
resolution: {integrity: sha512-6ZYMOEnmVsdCeTJVE0W9ZD+pVnE8h9Hma/iOwwRDsdQoePpoX56/8B6z3P9VNwppJuBKNRuFDRNRqRWexT9G9Q==}
|
||||
requiresBuild: true
|
||||
dependencies:
|
||||
minipass: 2.9.0
|
||||
dev: false
|
||||
optional: true
|
||||
|
||||
/minizlib@2.1.2:
|
||||
resolution: {integrity: sha512-bAxsR8BVfj60DWXHE3u30oHzfl4G7khkSuPW+qvpd7jFRHm7dLxOjUk1EHACJ/hxLY8phGJ0YhYHZo7jil7Qdg==}
|
||||
engines: {node: '>= 8'}
|
||||
|
|
@ -13015,13 +12895,13 @@ packages:
|
|||
set-blocking: 2.0.0
|
||||
dev: false
|
||||
|
||||
/nsfwjs@2.4.2(@tensorflow/tfjs@4.16.0):
|
||||
/nsfwjs@2.4.2(@tensorflow/tfjs@3.21.0):
|
||||
resolution: {integrity: sha512-i4Pp2yt59qPQgeZFyg3wXFBX52uSeu/hkDoqdZfe+sILRxNBUu0VDogj7Lmqak0GlrXviS/wLiVeIx40IDUu7A==}
|
||||
peerDependencies:
|
||||
'@tensorflow/tfjs': ^3.18.0
|
||||
dependencies:
|
||||
'@nsfw-filter/gif-frames': 1.0.2
|
||||
'@tensorflow/tfjs': 4.16.0(seedrandom@3.0.5)
|
||||
'@tensorflow/tfjs': 3.21.0(seedrandom@3.0.5)
|
||||
dev: false
|
||||
|
||||
/nth-check@1.0.2:
|
||||
|
|
@ -14223,13 +14103,6 @@ packages:
|
|||
/process-nextick-args@2.0.1:
|
||||
resolution: {integrity: sha512-3ouUOpQhtgrbOa17J7+uxOTpITYWaGP7/AhoR3+A+/1e9skrzelGi/dXzEYyvbxubEF6Wn2ypscTKiKJFFn1ag==}
|
||||
|
||||
/progress@2.0.3:
|
||||
resolution: {integrity: sha512-7PiHtLll5LdnKIMw100I+8xJXR5gW2QwWYkT6iJva0bXitZKa/XMrSbdmg3r2Xnaidz9Qumd0VPaMrZlF9V9sA==}
|
||||
engines: {node: '>=0.4.0'}
|
||||
requiresBuild: true
|
||||
dev: false
|
||||
optional: true
|
||||
|
||||
/promise-limit@2.7.0:
|
||||
resolution: {integrity: sha512-7nJ6v5lnJsXwGprnGXga4wx6d1POjvi5Qmf1ivTRxTjH4Z/9Czja/UCMLVmB9N93GeWOU93XaFaEt6jbuoagNw==}
|
||||
dev: false
|
||||
|
|
@ -14944,15 +14817,6 @@ packages:
|
|||
engines: {iojs: '>=1.0.0', node: '>=0.10.0'}
|
||||
dev: true
|
||||
|
||||
/rimraf@2.7.1:
|
||||
resolution: {integrity: sha512-uWjbaKIK3T1OSVptzX7Nl6PvQ3qAGtKEtVRjRuazjfL3Bx5eI409VZSqgND+4UNnmzLVdPj9FqFJNPqBZFve4w==}
|
||||
hasBin: true
|
||||
requiresBuild: true
|
||||
dependencies:
|
||||
glob: 7.2.3
|
||||
dev: false
|
||||
optional: true
|
||||
|
||||
/rimraf@3.0.2:
|
||||
resolution: {integrity: sha512-JZkJMZkAGFFPP2YqXZXPbMlMBgsxzE8ILs4lMIX/2o0L9UBw9O/Y3o6wFw/i9YLapcUJWwqbi3kdxIPdC62TIA==}
|
||||
hasBin: true
|
||||
|
|
@ -15920,21 +15784,6 @@ packages:
|
|||
streamx: 2.15.5
|
||||
dev: false
|
||||
|
||||
/tar@4.4.19:
|
||||
resolution: {integrity: sha512-a20gEsvHnWe0ygBY8JbxoM4w3SJdhc7ZAuxkLqh+nvNQN2IOt0B5lLgM490X5Hl8FF0dl0tOf2ewFYAlIFgzVA==}
|
||||
engines: {node: '>=4.5'}
|
||||
requiresBuild: true
|
||||
dependencies:
|
||||
chownr: 1.1.4
|
||||
fs-minipass: 1.2.7
|
||||
minipass: 2.9.0
|
||||
minizlib: 1.3.3
|
||||
mkdirp: 0.5.6
|
||||
safe-buffer: 5.2.1
|
||||
yallist: 3.1.1
|
||||
dev: false
|
||||
optional: true
|
||||
|
||||
/tar@6.2.0:
|
||||
resolution: {integrity: sha512-/Wo7DcT0u5HUV486xg675HtjNd3BXZ6xDbzsCUZPt5iw8bTQ63bP0Raut3mvro9u+CUyq7YQd8Cx55fsZXxqLQ==}
|
||||
engines: {node: '>=10'}
|
||||
|
|
|
|||
Loading…
Reference in a new issue