parent
8abe8aecee
commit
531565aa66
10 changed files with 280 additions and 277 deletions
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@ -88,7 +88,7 @@
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"@peertube/http-signature": "1.7.0",
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"@simplewebauthn/server": "13.0.0",
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"@sinonjs/fake-timers": "11.3.1",
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"@smithy/node-http-handler": "3.3.2",
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"@smithy/node-http-handler": "3.3.3",
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"@swc/cli": "0.5.2",
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"@swc/core": "1.10.1",
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"@twemoji/parser": "15.1.1",
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@ -102,7 +102,7 @@
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"bullmq": "5.34.4",
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"cacheable-lookup": "7.0.0",
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"cbor": "10.0.3",
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"chalk": "5.4.0",
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"chalk": "5.4.1",
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"chalk-template": "1.1.0",
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"chokidar": "4.0.3",
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"cli-highlight": "2.1.11",
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@ -130,9 +130,9 @@
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"js-yaml": "4.1.0",
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"jsdom": "25.0.1",
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"json5": "2.2.3",
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"jsonld": "8.3.2",
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"jsonld": "8.3.3",
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"jsrsasign": "11.1.0",
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"meilisearch": "0.46.0",
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"meilisearch": "0.47.0",
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"mfm-js": "0.24.0",
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"microformats-parser": "2.0.2",
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"mime-types": "2.1.35",
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@ -152,7 +152,7 @@
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"otpauth": "9.3.6",
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"parse5": "7.2.1",
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"pg": "8.13.1",
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"pino": "9.5.0",
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"pino": "9.6.0",
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"pino-pretty": "13.0.0",
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"pkce-challenge": "4.1.0",
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"probe-image-size": "7.2.3",
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@ -175,7 +175,7 @@
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"slacc": "0.0.10",
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"strict-event-emitter-types": "2.0.0",
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"stringz": "2.1.0",
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"systeminformation": "5.23.14",
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"systeminformation": "5.23.21",
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"tinycolor2": "1.6.0",
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"tmp": "0.2.3",
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"tsc-alias": "1.8.10",
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@ -201,7 +201,7 @@
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"@types/color-convert": "2.0.4",
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"@types/content-disposition": "0.5.8",
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"@types/fluent-ffmpeg": "2.1.27",
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"@types/htmlescape": "^1.1.3",
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"@types/htmlescape": "1.1.3",
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"@types/http-link-header": "1.0.7",
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"@types/jest": "29.5.14",
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"@types/js-yaml": "4.0.9",
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@ -239,7 +239,7 @@
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"eslint": "8.57.1",
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"eslint-plugin-import": "2.31.0",
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"execa": "9.5.2",
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"fkill": "^9.0.0",
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"fkill": "9.0.0",
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"jest": "29.7.0",
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"jest-mock": "29.7.0",
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"nodemon": "3.1.9",
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@ -58,11 +58,11 @@ export class AiService {
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const sharp = await sharpBmp(path, mime);
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const { data, info } = await sharp
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.resize(299, 299, { fit: 'inside' })
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.ensureAlpha()
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.raw({ depth: 'int' })
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.removeAlpha()
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.raw({ depth: 'uchar' })
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.toBuffer({ resolveWithObject: true });
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const image = tf.tensor3d(data, [info.height, info.width, info.channels], 'int32');
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const image = tf.tensor3d(data, [info.height, info.width, info.channels], 'bool');
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try {
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return await this.model.classify(image);
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} finally {
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