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vladmandicvladmandic
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update dependencies and stricter linting rules
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‎CHANGELOG.md

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# packageJson
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#
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Version: **undefined**
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Description: **undefined**
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## Changelog
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### **HEAD -> master** 2021/09/29 [email protected]
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### **1.5.5** 2021/10/19 [email protected]
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### **origin/master** 2021/09/30 [email protected]
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- allow backend change in demo via url params
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- add node-match demo
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- fix face matcher
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### **1.5.4** 2021/09/29 [email protected]

‎dist/face-api.esm-nobundle.js

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‎dist/face-api.esm-nobundle.js.map

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‎dist/face-api.esm.js

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function padToSquare(imgTensor, isCenterImage = false) {
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return tidy(() => {
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const [height, width] = imgTensor.shape.slice(1);
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if (height === width) {
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if (height === width)
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return imgTensor;
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}
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const dimDiff = Math.abs(height - width);
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const paddingAmount = Math.round(dimDiff * (isCenterImage ? 0.5 : 1));
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const paddingAxis = height > width ? 2 : 1;
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const paddingTensorAppend = createPaddingTensor(paddingAmount);
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const remainingPaddingAmount = dimDiff - paddingTensorAppend.shape[paddingAxis];
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const paddingTensorPrepend = isCenterImage && remainingPaddingAmount ? createPaddingTensor(remainingPaddingAmount) : null;
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const tensorsToStack = [
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paddingTensorPrepend,
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imgTensor,
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paddingTensorAppend
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].filter((t) => !!t).map((t) => cast(t, "float32"));
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const tensorsToStack = [paddingTensorPrepend, imgTensor, paddingTensorAppend].filter((t) => !!t).map((t) => cast(t, "float32"));
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return concat(tensorsToStack, paddingAxis);
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});
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}
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}
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// package.json
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var version6 = "1.5.4";
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var version6 = "1.5.5";
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// src/xception/extractParams.ts
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function extractorsFactory2(extractWeights, paramMappings) {

‎dist/face-api.esm.js.map

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‎dist/face-api.js

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‎dist/face-api.node-gpu.js

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function padToSquare(imgTensor, isCenterImage = false) {
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return tf3.tidy(() => {
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const [height, width] = imgTensor.shape.slice(1);
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if (height === width) {
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if (height === width)
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return imgTensor;
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}
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const dimDiff = Math.abs(height - width);
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const paddingAmount = Math.round(dimDiff * (isCenterImage ? 0.5 : 1));
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const paddingAxis = height > width ? 2 : 1;
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const paddingTensorAppend = createPaddingTensor(paddingAmount);
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const remainingPaddingAmount = dimDiff - paddingTensorAppend.shape[paddingAxis];
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const paddingTensorPrepend = isCenterImage && remainingPaddingAmount ? createPaddingTensor(remainingPaddingAmount) : null;
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const tensorsToStack = [
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paddingTensorPrepend,
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imgTensor,
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paddingTensorAppend
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].filter((t) => !!t).map((t) => tf3.cast(t, "float32"));
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const tensorsToStack = [paddingTensorPrepend, imgTensor, paddingTensorAppend].filter((t) => !!t).map((t) => tf3.cast(t, "float32"));
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return tf3.concat(tensorsToStack, paddingAxis);
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});
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}
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}
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// package.json
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var version = "1.5.4";
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var version = "1.5.5";
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// src/ageGenderNet/AgeGenderNet.ts
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var tf20 = __toModule(require_tfjs_esm());

‎dist/face-api.node.js

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function padToSquare(imgTensor, isCenterImage = false) {
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return tf3.tidy(() => {
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const [height, width] = imgTensor.shape.slice(1);
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if (height === width) {
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if (height === width)
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return imgTensor;
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}
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const dimDiff = Math.abs(height - width);
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const paddingAmount = Math.round(dimDiff * (isCenterImage ? 0.5 : 1));
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const paddingAxis = height > width ? 2 : 1;
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const paddingTensorAppend = createPaddingTensor(paddingAmount);
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const remainingPaddingAmount = dimDiff - paddingTensorAppend.shape[paddingAxis];
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const paddingTensorPrepend = isCenterImage && remainingPaddingAmount ? createPaddingTensor(remainingPaddingAmount) : null;
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const tensorsToStack = [
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paddingTensorPrepend,
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imgTensor,
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paddingTensorAppend
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].filter((t) => !!t).map((t) => tf3.cast(t, "float32"));
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const tensorsToStack = [paddingTensorPrepend, imgTensor, paddingTensorAppend].filter((t) => !!t).map((t) => tf3.cast(t, "float32"));
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return tf3.concat(tensorsToStack, paddingAxis);
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});
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}
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}
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// package.json
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var version = "1.5.4";
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var version = "1.5.5";
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// src/ageGenderNet/AgeGenderNet.ts
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var tf20 = __toModule(require_tfjs_esm());

‎package.json

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"@tensorflow/tfjs-layers": "^3.9.0",
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"@tensorflow/tfjs-node": "^3.9.0",
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"@tensorflow/tfjs-node-gpu": "^3.9.0",
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"@types/node": "^16.10.2",
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"@typescript-eslint/eslint-plugin": "^4.32.0",
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"@typescript-eslint/parser": "^4.32.0",
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"@vladmandic/build": "^0.5.3",
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"@types/node": "^16.11.1",
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"@typescript-eslint/eslint-plugin": "^5.1.0",
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"@typescript-eslint/parser": "^5.1.0",
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"@vladmandic/build": "^0.6.1",
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"@vladmandic/pilogger": "^0.3.3",
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"canvas": "^2.8.0",
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"chokidar": "^3.5.2",
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"dayjs": "^1.10.7",
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"esbuild": "^0.13.3",
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"eslint": "^7.32.0",
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"esbuild": "^0.13.8",
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"eslint": "^8.0.1",
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"eslint-config-airbnb-base": "^14.2.1",
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"eslint-plugin-import": "^2.24.2",
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"eslint-plugin-import": "^2.25.2",
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"eslint-plugin-json": "^3.1.0",
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"eslint-plugin-node": "^11.1.0",
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"eslint-plugin-promise": "^5.1.0",
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"seedrandom": "^3.0.5",
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"simple-git": "^2.46.0",
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"tslib": "^2.3.1",
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"typedoc": "^0.22.4",
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"typescript": "4.4.3"
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"typedoc": "^0.22.6",
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"typescript": "4.4.4"
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}
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}

‎src/NeuralNetwork.ts

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this._name = name;
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}
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protected _params: TNetParams | undefined = undefined
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protected _params: TNetParams | undefined = undefined;
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protected _paramMappings: ParamMapping[] = []
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protected _paramMappings: ParamMapping[] = [];
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public _name: any;
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