update tfjs

CHANGELOG.md

@@ -1,6 +1,6 @@
 # @vladmandic/face-api  
 
-  Version: **1.6.8**  
+  Version: **1.6.9**  
   Description: **FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS**  
   
   Author: **Vladimir Mandic <mandic00@live.com>**  
@@ -9,11 +9,14 @@
   
 ## Changelog
   
+### **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
 
-
-### **origin/master** 2022/04/09 mandic00@live.com
-
 - exclude impossible detected face boxes
 
 ### **1.6.7** 2022/04/01 mandic00@live.com

README.md

@@ -443,7 +443,7 @@ Build process uses `@vladmandic/build` module that creates optimized build for e
 This is updated **face-api.js** with latest available TensorFlow/JS as the original is not compatible with **tfjs 2.0+**.  
 Forked from [face-api.js](https://github.com/justadudewhohacks/face-api.js) version **0.22.2** which was released on March 22nd, 2020  
 
-Currently using **`TensorFlow/JS` 3.15.0**  
+Currently using **`TensorFlow/JS` 3.17.0**  
 
 *Why?* I needed FaceAPI that does not cause version conflict with newer versions of TensorFlow  
 And since original FaceAPI was open-source, I've released this version as well  

demo/index.js

@@ -108,7 +108,7 @@ async function main() {
   const params = new URLSearchParams(location.search);
   if (params.has('backend')) {
     const backend = params.get('backend');
-    await faceapi.tf.setWasmPaths('https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.15.0/dist/');
+    await faceapi.tf.setWasmPaths('https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.17.0/dist/');
     log(`Chosen backend: ${backend}`);
     await faceapi.tf.setBackend(backend);
   } else {

dist/tfjs.version.js

@@ -4,4 +4,4 @@
   author: <https://github.com/vladmandic>'
 */
 
-var e="3.16.0";var s="3.16.0";var t="3.16.0";var r="3.16.0";var l="3.16.0";var i="3.16.0";var a="3.16.0";var n="3.16.0";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="3.17.0";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};

package.json

@@ -43,29 +43,29 @@
   ],
   "devDependencies": {
     "@canvas/image": "^1.0.1",
-    "@microsoft/api-extractor": "^7.23.1",
-    "@tensorflow/tfjs": "^3.16.0",
-    "@tensorflow/tfjs-backend-cpu": "^3.16.0",
-    "@tensorflow/tfjs-backend-wasm": "^3.16.0",
-    "@tensorflow/tfjs-backend-webgl": "^3.16.0",
-    "@tensorflow/tfjs-backend-webgpu": "0.0.1-alpha.9",
-    "@tensorflow/tfjs-converter": "^3.16.0",
-    "@tensorflow/tfjs-core": "^3.16.0",
-    "@tensorflow/tfjs-data": "^3.16.0",
-    "@tensorflow/tfjs-layers": "^3.16.0",
-    "@tensorflow/tfjs-node": "^3.16.0",
-    "@tensorflow/tfjs-node-gpu": "^3.16.0",
-    "@types/node": "^17.0.31",
+    "@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",
     "@types/offscreencanvas": "^2019.6.4",
-    "@typescript-eslint/eslint-plugin": "^5.22.0",
-    "@typescript-eslint/parser": "^5.22.0",
-    "@vladmandic/build": "^0.7.3",
+    "@typescript-eslint/eslint-plugin": "^5.25.0",
+    "@typescript-eslint/parser": "^5.25.0",
+    "@vladmandic/build": "^0.7.4",
     "@vladmandic/pilogger": "^0.4.4",
     "@vladmandic/tfjs": "github:vladmandic/tfjs",
     "canvas": "^2.9.1",
     "chokidar": "^3.5.3",
     "dayjs": "^1.11.2",
-    "esbuild": "^0.14.38",
+    "esbuild": "^0.14.39",
     "eslint": "^8.15.0",
     "eslint-config-airbnb-base": "^15.0.0",
     "eslint-plugin-import": "^2.26.0",

types/face-api.d.ts

@@ -1,3 +1,5 @@
+/// <reference types="@webgpu/types/dist" />
+
 declare const add: typeof add_;
 
 /**
@@ -546,12 +548,16 @@ export declare function createTinyYolov2(weights: Float32Array, withSeparableCon
  */
 declare type DataId = object;
 
-declare type DataToGPUOptions = DataToGPUWebGLOption;
+declare type DataToGPUOptions = DataToGPUWebGLOption | DataToGPUWebGPUOption;
 
 declare interface DataToGPUWebGLOption {
     customTexShape?: [number, number];
 }
 
+declare interface DataToGPUWebGPUOption {
+    customBufSize?: number;
+}
+
 /** @docalias 'float32'|'int32'|'bool'|'complex64'|'string' */
 declare type DataType = keyof DataTypeMap;
 
@@ -1231,7 +1237,9 @@ declare function getQueryParams(queryString: string): {
 declare interface GPUData {
     tensorRef: Tensor;
     texture?: WebGLTexture;
+    buffer?: GPUBuffer;
     texShape?: [number, number];
+    bufSize?: number;
 }
 
 export declare interface IBoundingBox {