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face-api
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update tfjs

pull/115/head
Vladimir Mandic 2022-05-24 07:16:42 -04:00
parent 31170e750b
commit 4ba4a99ee1
9 changed files with 904 additions and 898 deletions
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3
CHANGELOG.md
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@ -15,9 +15,6 @@
### **1.6.9** 2022/05/18 mandic00@live.com
### **origin/master** 2022/05/09 mandic00@live.com
### **1.6.8** 2022/05/09 mandic00@live.com
- exclude impossible detected face boxes

2
dist/face-api.esm-nobundle.js vendored
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dist/face-api.esm.js vendored
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dist/face-api.esm.js.map vendored
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dist/face-api.js vendored
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dist/tfjs.esm.js vendored
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dist/tfjs.version.js vendored
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@ -4,4 +4,4 @@
author: <https://github.com/vladmandic>'
*/
var e="3.17.0";var s="3.17.0";var t="3.17.0";var r="3.17.0";var l="3.17.0";var i="3.17.0";var a="3.17.0";var n="3.17.0";var G={tfjs:e,"tfjs-core":s,"tfjs-data":t,"tfjs-layers":r,"tfjs-converter":l,"tfjs-backend-cpu":i,"tfjs-backend-webgl":a,"tfjs-backend-wasm":n};export{G as version};
var e="3.18.0";var s="3.18.0";var t="3.18.0";var r="3.18.0";var l="3.18.0";var i="3.18.0";var a="3.18.0";var n="3.18.0";var G={tfjs:e,"tfjs-core":s,"tfjs-data":t,"tfjs-layers":r,"tfjs-converter":l,"tfjs-backend-cpu":i,"tfjs-backend-webgl":a,"tfjs-backend-wasm":n};export{G as version};

32
package.json
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@ -43,22 +43,22 @@
],
"devDependencies": {
"@canvas/image": "^1.0.1",
"@microsoft/api-extractor": "^7.24.0",
"@tensorflow/tfjs": "^3.17.0",
"@tensorflow/tfjs-backend-cpu": "^3.17.0",
"@tensorflow/tfjs-backend-wasm": "^3.17.0",
"@tensorflow/tfjs-backend-webgl": "^3.17.0",
"@tensorflow/tfjs-backend-webgpu": "0.0.1-alpha.10",
"@tensorflow/tfjs-converter": "^3.17.0",
"@tensorflow/tfjs-core": "^3.17.0",
"@tensorflow/tfjs-data": "^3.17.0",
"@tensorflow/tfjs-layers": "^3.17.0",
"@tensorflow/tfjs-node": "^3.17.0",
"@tensorflow/tfjs-node-gpu": "^3.17.0",
"@types/node": "^17.0.34",
"@microsoft/api-extractor": "^7.24.1",
"@tensorflow/tfjs": "^3.18.0",
"@tensorflow/tfjs-backend-cpu": "^3.18.0",
"@tensorflow/tfjs-backend-wasm": "^3.18.0",
"@tensorflow/tfjs-backend-webgl": "^3.18.0",
"@tensorflow/tfjs-backend-webgpu": "0.0.1-alpha.11",
"@tensorflow/tfjs-converter": "^3.18.0",
"@tensorflow/tfjs-core": "^3.18.0",
"@tensorflow/tfjs-data": "^3.18.0",
"@tensorflow/tfjs-layers": "^3.18.0",
"@tensorflow/tfjs-node": "^3.18.0",
"@tensorflow/tfjs-node-gpu": "^3.18.0",
"@types/node": "^17.0.35",
"@types/offscreencanvas": "^2019.6.4",
"@typescript-eslint/eslint-plugin": "^5.25.0",
"@typescript-eslint/parser": "^5.25.0",
"@typescript-eslint/eslint-plugin": "^5.26.0",
"@typescript-eslint/parser": "^5.26.0",
"@vladmandic/build": "^0.7.4",
"@vladmandic/pilogger": "^0.4.4",
"@vladmandic/tfjs": "github:vladmandic/tfjs",
@ -66,7 +66,7 @@
"chokidar": "^3.5.3",
"dayjs": "^1.11.2",
"esbuild": "^0.14.39",
"eslint": "^8.15.0",
"eslint": "^8.16.0",
"eslint-config-airbnb-base": "^15.0.0",
"eslint-plugin-import": "^2.26.0",
"eslint-plugin-json": "^3.1.0",

21
types/face-api.d.ts vendored
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@ -548,16 +548,12 @@ export declare function createTinyYolov2(weights: Float32Array, withSeparableCon
*/
declare type DataId = object;
declare type DataToGPUOptions = DataToGPUWebGLOption | DataToGPUWebGPUOption;
declare type DataToGPUOptions = DataToGPUWebGLOption;
declare interface DataToGPUWebGLOption {
customTexShape?: [number, number];
}
declare interface DataToGPUWebGPUOption {
customBufSize?: number;
}
/** @docalias 'float32'|'int32'|'bool'|'complex64'|'string' */
declare type DataType = keyof DataTypeMap;
@ -2398,6 +2394,9 @@ declare class Tensor<R extends Rank = Rank> {
* For WebGL backend, the data will be stored on a densely packed texture.
* This means that the texture will use the RGBA channels to store value.
*
* For WebGPU backend, the data will be stored on a buffer. There is no
* parameter, so can not use an user defined size to create the buffer.
*
* @param options:
* For WebGL,
* - customTexShape: Optional. If set, will use the user defined
@ -2410,6 +2409,15 @@ declare class Tensor<R extends Rank = Rank> {
* texture: WebGLTexture,
* texShape: [number, number] // [height, width]
* }
*
* For WebGPU backend, a GPUData contains the new buffer and
* its information.
* {
* tensorRef: The tensor that is associated with this buffer,
* buffer: GPUBuffer,
* bufSize: number
* }
*
* Remember to dispose the GPUData after it is used by
* `res.tensorRef.dispose()`.
*
@ -2966,10 +2974,11 @@ declare const transpose: typeof transpose_;
*
* @param x The tensor to transpose.
* @param perm The permutation of the dimensions of a.
* @param conjugate Will conjugate complex input if true.
*
* @doc {heading: 'Operations', subheading: 'Matrices'}
*/
declare function transpose_<T extends Tensor>(x: T | TensorLike, perm?: number[]): T;
declare function transpose_<T extends Tensor>(x: T | TensorLike, perm?: number[], conjugate?: boolean): T;
export declare type TResolvedNetInput = TMediaElement | tf.Tensor3D | tf.Tensor4D;