[backend] Remove nsfw detection / tensorflow

.yarn/cache/@tensorflow-tfjs-converter-npm-4.9.0-53ae2c5e42-9685823165.zip

@@ -1,3 +0,0 @@
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-size 4133297

.yarn/cache/@tensorflow-tfjs-node-npm-3.21.1-eddf4f4a47-39289653e0.zip

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.yarn/cache/@webgpu-types-npm-0.1.30-bbd4b8862a-c07516879c.zip

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.yarn/cache/es6-promise-npm-4.2.8-c9f5b11f66-95614a8887.zip

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.yarn/cache/http-signature-npm-1.2.0-ee92426f34-3324598712.zip

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.yarn/cache/minizlib-npm-1.3.3-b590e5bfb8-b0425c04d2.zip

@@ -1,3 +0,0 @@
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-size 6732

.yarn/cache/nsfwjs-npm-2.4.2-5f987f8b7e-a66a78caaa.zip

@@ -1,3 +0,0 @@
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-size 469978

.yarn/cache/parse-data-uri-npm-0.2.0-d70e3f0b43-6e8d76eb4b.zip

@@ -1,3 +0,0 @@
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-size 3495

package.json

@@ -44,7 +44,6 @@
 	"dependencies": {
 		"@bull-board/api": "5.6.0",
 		"@bull-board/ui": "5.6.0",
-		"@tensorflow/tfjs": "^3.21.0",
 		"js-yaml": "4.1.0",
 		"seedrandom": "^3.0.5"
 	},

packages/backend/nsfw-model/group1-shard5of6

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:994515b0f73407d71740301e9877511b086609dbdc7ead1b31bcb82b3397ae74
-size 4194304

packages/backend/package.json

@@ -19,7 +19,6 @@
 	},
 	"optionalDependencies": {
 		"@swc/core-android-arm64": "1.3.11",
-		"@tensorflow/tfjs-node": "3.21.1",
 		"@types/formidable": "^2.0.5"
 	},
 	"dependencies": {
@@ -36,9 +35,6 @@
 		"@redocly/openapi-core": "1.0.0-beta.131",
 		"@sinonjs/fake-timers": "9.1.2",
 		"@syuilo/aiscript": "0.11.1",
-		"@tensorflow/tfjs": "^4.2.0",
-		"@tensorflow/tfjs-backend-webgl": "^4.2.0",
-		"@tensorflow/tfjs-core": "^4.2.0",
 		"adm-zip": "^0.5.10",
 		"ajv": "8.12.0",
 		"archiver": "5.3.1",
@@ -98,7 +94,6 @@
 		"nested-property": "4.0.0",
 		"node-fetch": "3.3.1",
 		"nodemailer": "6.9.3",
-		"nsfwjs": "2.4.2",
 		"oauth": "^0.10.0",
 		"os-utils": "0.0.14",
 		"otpauth": "^9.1.3",

packages/backend/src/migration/1697663824168-remote-nsfw-detection.ts

@@ -0,0 +1,33 @@
+import { MigrationInterface, QueryRunner } from "typeorm";
+
+export class RemoteNsfwDetection1697663824168 implements MigrationInterface {
+    name = 'RemoteNsfwDetection1697663824168'
+
+    public async up(queryRunner: QueryRunner): Promise<void> {
+        await queryRunner.query(`DROP INDEX "public"."IDX_3b33dff77bb64b23c88151d23e"`);
+        await queryRunner.query(`DROP INDEX "public"."IDX_8bdcd3dd2bddb78014999a16ce"`);
+        await queryRunner.query(`ALTER TABLE "drive_file" DROP COLUMN "maybeSensitive"`);
+        await queryRunner.query(`ALTER TABLE "drive_file" DROP COLUMN "maybePorn"`);
+        await queryRunner.query(`ALTER TABLE "meta" DROP COLUMN "sensitiveMediaDetection"`);
+        await queryRunner.query(`DROP TYPE "public"."meta_sensitivemediadetection_enum"`);
+        await queryRunner.query(`ALTER TABLE "meta" DROP COLUMN "sensitiveMediaDetectionSensitivity"`);
+        await queryRunner.query(`DROP TYPE "public"."meta_sensitivemediadetectionsensitivity_enum"`);
+        await queryRunner.query(`ALTER TABLE "meta" DROP COLUMN "setSensitiveFlagAutomatically"`);
+        await queryRunner.query(`ALTER TABLE "meta" DROP COLUMN "enableSensitiveMediaDetectionForVideos"`);
+        await queryRunner.query(`ALTER TABLE "user_profile" DROP COLUMN "autoSensitive"`);
+    }
+
+    public async down(queryRunner: QueryRunner): Promise<void> {
+        await queryRunner.query(`ALTER TABLE "user_profile" ADD "autoSensitive" boolean NOT NULL DEFAULT false`);
+        await queryRunner.query(`ALTER TABLE "meta" ADD "enableSensitiveMediaDetectionForVideos" boolean NOT NULL DEFAULT false`);
+        await queryRunner.query(`ALTER TABLE "meta" ADD "setSensitiveFlagAutomatically" boolean NOT NULL DEFAULT false`);
+        await queryRunner.query(`CREATE TYPE "public"."meta_sensitivemediadetectionsensitivity_enum" AS ENUM('medium', 'low', 'high', 'veryLow', 'veryHigh')`);
+        await queryRunner.query(`ALTER TABLE "meta" ADD "sensitiveMediaDetectionSensitivity" "public"."meta_sensitivemediadetectionsensitivity_enum" NOT NULL DEFAULT 'medium'`);
+        await queryRunner.query(`CREATE TYPE "public"."meta_sensitivemediadetection_enum" AS ENUM('none', 'all', 'local', 'remote')`);
+        await queryRunner.query(`ALTER TABLE "meta" ADD "sensitiveMediaDetection" "public"."meta_sensitivemediadetection_enum" NOT NULL DEFAULT 'none'`);
+        await queryRunner.query(`ALTER TABLE "drive_file" ADD "maybePorn" boolean NOT NULL DEFAULT false`);
+        await queryRunner.query(`ALTER TABLE "drive_file" ADD "maybeSensitive" boolean NOT NULL DEFAULT false`);
+        await queryRunner.query(`CREATE INDEX "IDX_8bdcd3dd2bddb78014999a16ce" ON "drive_file" ("maybePorn") `);
+        await queryRunner.query(`CREATE INDEX "IDX_3b33dff77bb64b23c88151d23e" ON "drive_file" ("maybeSensitive") `);
+    }
+}

packages/backend/src/misc/get-file-info.ts

@@ -1,18 +1,12 @@
 import * as fs from "node:fs";
 import * as crypto from "node:crypto";
-import { join } from "node:path";
 import * as stream from "node:stream";
 import * as util from "node:util";
-import { FSWatcher } from "chokidar";
 import { fileTypeFromFile } from "file-type";
 import probeImageSize from "probe-image-size";
-import FFmpeg from "fluent-ffmpeg";
 import isSvg from "is-svg";
-import { type predictionType } from "nsfwjs";
 import sharp from "sharp";
 import { encode } from "blurhash";
-import { detectSensitive } from "@/services/detect-sensitive.js";
-import { createTempDir } from "./create-temp.js";
 
 const pipeline = util.promisify(stream.pipeline);
 
@@ -27,8 +21,6 @@ export type FileInfo = {
 	height?: number;
 	orientation?: number;
 	blurhash?: string;
-	sensitive: boolean;
-	porn: boolean;
 	warnings: string[];
 };
 
@@ -47,12 +39,6 @@ const TYPE_SVG = {
  */
 export async function getFileInfo(
 	path: string,
-	opts: {
-		skipSensitiveDetection: boolean;
-		sensitiveThreshold?: number;
-		sensitiveThresholdForPorn?: number;
-		enableSensitiveMediaDetectionForVideos?: boolean;
-	},
 ): Promise<FileInfo> {
 	const warnings = [] as string[];
 
@@ -123,26 +109,6 @@ export async function getFileInfo(
 		});
 	}
 
-	let sensitive = false;
-	let porn = false;
-
-	if (!opts.skipSensitiveDetection) {
-		await detectSensitivity(
-			path,
-			type.mime,
-			opts.sensitiveThreshold ?? 0.5,
-			opts.sensitiveThresholdForPorn ?? 0.75,
-			opts.enableSensitiveMediaDetectionForVideos ?? false,
-		).then(
-			(value) => {
-				[sensitive, porn] = value;
-			},
-			(error) => {
-				warnings.push(`detectSensitivity failed: ${error}`);
-			},
-		);
-	}
-
 	return {
 		size,
 		md5,
@@ -151,183 +117,10 @@ export async function getFileInfo(
 		height,
 		orientation,
 		blurhash,
-		sensitive,
-		porn,
 		warnings,
 	};
 }
 
-async function detectSensitivity(
-	source: string,
-	mime: string,
-	sensitiveThreshold: number,
-	sensitiveThresholdForPorn: number,
-	analyzeVideo: boolean,
-): Promise<[sensitive: boolean, porn: boolean]> {
-	let sensitive = false;
-	let porn = false;
-
-	function judgePrediction(
-		result: readonly predictionType[],
-	): [sensitive: boolean, porn: boolean] {
-		let sensitive = false;
-		let porn = false;
-
-		if (
-			(result.find((x) => x.className === "Sexy")?.probability ?? 0) >
-			sensitiveThreshold
-		)
-			sensitive = true;
-		if (
-			(result.find((x) => x.className === "Hentai")?.probability ?? 0) >
-			sensitiveThreshold
-		)
-			sensitive = true;
-		if (
-			(result.find((x) => x.className === "Porn")?.probability ?? 0) >
-			sensitiveThreshold
-		)
-			sensitive = true;
-
-		if (
-			(result.find((x) => x.className === "Porn")?.probability ?? 0) >
-			sensitiveThresholdForPorn
-		)
-			porn = true;
-
-		return [sensitive, porn];
-	}
-
-	if (["image/jpeg", "image/png", "image/webp"].includes(mime)) {
-		const result = await detectSensitive(source);
-		if (result) {
-			[sensitive, porn] = judgePrediction(result);
-		}
-	} else if (
-		analyzeVideo &&
-		(mime === "image/apng" || mime.startsWith("video/"))
-	) {
-		const [outDir, disposeOutDir] = await createTempDir();
-		try {
-			const command = FFmpeg()
-				.input(source)
-				.inputOptions([
-					"-skip_frame",
-					"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）
-					"-lowres",
-					"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）
-				])
-				.noAudio()
-				.videoFilters([
-					{
-						filter: "select", // フレームのフィルタリング
-						options: {
-							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）
-						},
-					},
-					{
-						filter: "blackframe", // 暗いフレームの検出
-						options: {
-							amount: "0", // 暗さに関わらず全てのフレームで測定値を取る
-						},
-					},
-					{
-						filter: "metadata",
-						options: {
-							mode: "select", // フレーム選択モード
-							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）
-							value: "50",
-							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）
-						},
-					},
-					{
-						filter: "scale",
-						options: {
-							w: 299,
-							h: 299,
-						},
-					},
-				])
-				.format("image2")
-				.output(join(outDir, "%d.png"))
-				.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
-			const results: ReturnType<typeof judgePrediction>[] = [];
-			let frameIndex = 0;
-			let targetIndex = 0;
-			let nextIndex = 1;
-			for await (const path of asyncIterateFrames(outDir, command)) {
-				try {
-					const index = frameIndex++;
-					if (index !== targetIndex) {
-						continue;
-					}
-					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,

packages/backend/src/models/entities/drive-file.ts

@@ -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
 	 */

packages/backend/src/models/entities/meta.ts

@@ -253,33 +253,6 @@ 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)",

packages/backend/src/models/entities/user-profile.ts

@@ -182,11 +182,6 @@ export class UserProfile {
 	})
 	public alwaysMarkNsfw: boolean;
 
-	@Column("boolean", {
-		default: false,
-	})
-	public autoSensitive: boolean;
-
 	@Column("boolean", {
 		default: false,
 	})

packages/backend/src/models/repositories/user.ts

@@ -539,7 +539,6 @@ 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,

packages/backend/src/models/schema/user.ts

@@ -374,11 +374,6 @@ export const packedMeDetailedOnlySchema = {
 			nullable: true,
 			optional: false,
 		},
-		autoSensitive: {
-			type: "boolean",
-			nullable: true,
-			optional: false,
-		},
 		carefulBot: {
 			type: "boolean",
 			nullable: true,

packages/backend/src/server/api/endpoints/admin/meta.ts

@@ -2,7 +2,6 @@ import config from "@/config/index.js";
 import { fetchMeta } from "@/misc/fetch-meta.js";
 import { MAX_NOTE_TEXT_LENGTH, MAX_CAPTION_TEXT_LENGTH } from "@/const.js";
 import define from "../../define.js";
-import { Exp } from "@tensorflow/tfjs";
 
 export const meta = {
 	tags: ["meta"],
@@ -266,26 +265,6 @@ export const meta = {
 				optional: true,
 				nullable: true,
 			},
-			sensitiveMediaDetection: {
-				type: "string",
-				optional: true,
-				nullable: false,
-			},
-			sensitiveMediaDetectionSensitivity: {
-				type: "string",
-				optional: true,
-				nullable: false,
-			},
-			setSensitiveFlagAutomatically: {
-				type: "boolean",
-				optional: true,
-				nullable: false,
-			},
-			enableSensitiveMediaDetectionForVideos: {
-				type: "boolean",
-				optional: true,
-				nullable: false,
-			},
 			proxyAccountId: {
 				type: "string",
 				optional: true,
@@ -531,12 +510,6 @@ export default define(meta, paramDef, async (ps, me) => {
 		secureMode: instance.secureMode,
 		hcaptchaSecretKey: instance.hcaptchaSecretKey,
 		recaptchaSecretKey: instance.recaptchaSecretKey,
-		sensitiveMediaDetection: instance.sensitiveMediaDetection,
-		sensitiveMediaDetectionSensitivity:
-			instance.sensitiveMediaDetectionSensitivity,
-		setSensitiveFlagAutomatically: instance.setSensitiveFlagAutomatically,
-		enableSensitiveMediaDetectionForVideos:
-			instance.enableSensitiveMediaDetectionForVideos,
 		proxyAccountId: instance.proxyAccountId,
 		twitterConsumerKey: instance.twitterConsumerKey,
 		twitterConsumerSecret: instance.twitterConsumerSecret,

packages/backend/src/server/api/endpoints/admin/show-user.ts

@@ -62,7 +62,6 @@ export default define(meta, paramDef, async (ps, me) => {
 		noCrawle: profile.noCrawle,
 		preventAiLearning: profile.preventAiLearning,
 		alwaysMarkNsfw: profile.alwaysMarkNsfw,
-		autoSensitive: profile.autoSensitive,
 		carefulBot: profile.carefulBot,
 		injectFeaturedNote: profile.injectFeaturedNote,
 		receiveAnnouncementEmail: profile.receiveAnnouncementEmail,

packages/backend/src/server/api/endpoints/admin/update-meta.ts

@@ -101,16 +101,6 @@ 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 },
@@ -148,8 +138,6 @@ export const paramDef = {
 		smtpPort: { type: "integer", nullable: true },
 		smtpUser: { type: "string", nullable: true },
 		smtpPass: { type: "string", nullable: true },
-		swPublicKey: { type: "string", nullable: true },
-		swPrivateKey: { type: "string", nullable: true },
 		tosUrl: { type: "string", nullable: true },
 		repositoryUrl: { type: "string" },
 		feedbackUrl: { type: "string" },
@@ -348,24 +336,6 @@ 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;
 	}
@@ -462,14 +432,6 @@ export default define(meta, paramDef, async (ps, me) => {
 		set.errorImageUrl = ps.errorImageUrl;
 	}
 
-	if (ps.swPublicKey !== undefined) {
-		set.swPublicKey = ps.swPublicKey;
-	}
-
-	if (ps.swPrivateKey !== undefined) {
-		set.swPrivateKey = ps.swPrivateKey;
-	}
-
 	if (ps.tosUrl !== undefined) {
 		set.ToSUrl = ps.tosUrl;
 	}

packages/backend/src/server/api/endpoints/i/update.ts

@@ -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" },
@@ -213,8 +212,6 @@ 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;
 

packages/backend/src/services/detect-sensitive.ts

@@ -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+/);
-}

packages/backend/src/services/drive/add-file.ts

@@ -396,7 +396,7 @@ async function expireOldFile(user: IRemoteUser, driveCapacity: number) {
 
 	for (const fileId of exceedFileIds) {
 		const file = await DriveFiles.findOneBy({ id: fileId });
-		deleteFile(file, true);
+		if (file) deleteFile(file, true);
 	}
 }
 
@@ -448,39 +448,7 @@ 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
@@ -595,8 +563,6 @@ 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
@@ -605,10 +571,6 @@ 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;
 

packages/client/src/pages/admin/security.vue

@@ -29,116 +29,6 @@
 						<XBotProtection />
 					</FormFolder>
 
-					<FormFolder class="_formBlock">
-						<template #icon
-							><i class="ph-eye-slash ph-bold ph-lg"></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="ph-floppy-disk-back ph-bold ph-lg"
-								></i>
-								{{ i18n.ts.save }}</FormButton
-							>
-						</div>
-					</FormFolder>
-
 					<FormFolder class="_formBlock">
 						<template #label>Active Email Validation</template>
 						<template v-if="enableActiveEmailValidation" #suffix
@@ -274,10 +164,6 @@ import { definePageMetadata } from "@/scripts/page-metadata";
 let summalyProxy: string = $ref("");
 let enableHcaptcha: boolean = $ref(false);
 let enableRecaptcha: boolean = $ref(false);
-let sensitiveMediaDetection: string = $ref("none");
-let sensitiveMediaDetectionSensitivity: number = $ref(0);
-let setSensitiveFlagAutomatically: boolean = $ref(false);
-let enableSensitiveMediaDetectionForVideos: boolean = $ref(false);
 let enableIpLogging: boolean = $ref(false);
 let enableActiveEmailValidation: boolean = $ref(false);
 
@@ -290,22 +176,6 @@ async function init() {
 	summalyProxy = meta.summalyProxy;
 	enableHcaptcha = meta.enableHcaptcha;
 	enableRecaptcha = meta.enableRecaptcha;
-	sensitiveMediaDetection = meta.sensitiveMediaDetection;
-	sensitiveMediaDetectionSensitivity =
-		meta.sensitiveMediaDetectionSensitivity === "veryLow"
-			? 0
-			: meta.sensitiveMediaDetectionSensitivity === "low"
-			? 1
-			: meta.sensitiveMediaDetectionSensitivity === "medium"
-			? 2
-			: meta.sensitiveMediaDetectionSensitivity === "high"
-			? 3
-			: meta.sensitiveMediaDetectionSensitivity === "veryHigh"
-			? 4
-			: 0;
-	setSensitiveFlagAutomatically = meta.setSensitiveFlagAutomatically;
-	enableSensitiveMediaDetectionForVideos =
-		meta.enableSensitiveMediaDetectionForVideos;
 	enableIpLogging = meta.enableIpLogging;
 	enableActiveEmailValidation = meta.enableActiveEmailValidation;
 
@@ -317,21 +187,6 @@ async function init() {
 function save() {
 	os.apiWithDialog("admin/update-meta", {
 		summalyProxy,
-		sensitiveMediaDetection,
-		sensitiveMediaDetectionSensitivity:
-			sensitiveMediaDetectionSensitivity === 0
-				? "veryLow"
-				: sensitiveMediaDetectionSensitivity === 1
-				? "low"
-				: sensitiveMediaDetectionSensitivity === 2
-				? "medium"
-				: sensitiveMediaDetectionSensitivity === 3
-				? "high"
-				: sensitiveMediaDetectionSensitivity === 4
-				? "veryHigh"
-				: 0,
-		setSensitiveFlagAutomatically,
-		enableSensitiveMediaDetectionForVideos,
 		enableIpLogging,
 		enableActiveEmailValidation,
 	}).then(() => {

packages/client/src/pages/settings/drive.vue

@@ -54,19 +54,6 @@
 			>
 				<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>
@@ -93,7 +80,6 @@ const usage = ref<any>(null);
 const capacity = ref<any>(null);
 const uploadFolder = ref<any>(null);
 let alwaysMarkNsfw = $ref($i.alwaysMarkNsfw);
-let autoSensitive = $ref($i.autoSensitive);
 
 const meterStyle = computed(() => {
 	return {
@@ -140,8 +126,7 @@ function chooseUploadFolder() {
 
 function saveProfile() {
 	os.api("i/update", {
-		alwaysMarkNsfw: !!alwaysMarkNsfw,
-		autoSensitive: !!autoSensitive,
+		alwaysMarkNsfw: !!alwaysMarkNsfw
 	});
 }