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face-api
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add canvas/image based demo to decode webp

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Vladimir Mandic 2021-04-15 16:59:35 -04:00
parent 6f9db4cd09
commit e496c9789f
17 changed files with 5698 additions and 2990 deletions
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CHANGELOG.md
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# @vladmandic/face-api
Version: **1.1.11**
Version: **1.1.12**
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>**
@ -9,7 +9,7 @@ Repository: **<git+https://github.com/vladmandic/face-api.git>**
## Changelog
### **HEAD -> master** 2021/04/10 mandic00@live.com
### **1.1.12** 2021/04/13 mandic00@live.com
### **1.1.11** 2021/04/06 mandic00@live.com

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demo/node-image.js Normal file
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const fs = require('fs');
const tf = require('@tensorflow/tfjs-node');
const image = require('@canvas/image'); // @canvas/image can decode jpeg, png, webp
const faceapi = require('../dist/face-api.node.js'); // this is equivalent to '@vladmandic/faceapi'
const modelPath = 'model/';
const imageFile = 'demo/sample1.jpg';
const ssdOptions = { minConfidence: 0.1, maxResults: 10 };
async function main() {
const buffer = fs.readFileSync(imageFile); // read image from disk
const canvas = await image.imageFromBuffer(buffer); // decode to canvas
const imageData = image.getImageData(canvas); // read decoded image data from canvas
console.log('image:', imageFile, canvas.width, canvas.height);
const tensor = tf.tidy(() => { // create tensor from image data
const data = tf.tensor(Array.from(imageData.data), [canvas.height, canvas.width, 4], 'int32'); // create rgba image tensor from flat array and flip to height x width
const channels = tf.split(data, 4, 2); // split rgba to channels
const rgb = tf.stack([channels[0], channels[1], channels[2]], 2); // stack channels back to rgb
const reshape = tf.reshape(rgb, [1, canvas.height, canvas.width, 3]); // move extra dim from the end of tensor and use it as batch number instead
return reshape;
});
console.log('tensor:', tensor.shape, tensor.size);
await faceapi.nets.ssdMobilenetv1.loadFromDisk(modelPath); // load basic model only
const optionsSSDMobileNet = new faceapi.SsdMobilenetv1Options(ssdOptions); // create options object
const result = await faceapi.detectAllFaces(tensor, optionsSSDMobileNet); // run detection
console.log('results:', result);
}
main();

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// src/env/isNodejs.ts
function isNodejs() {
return typeof global === "object" && true && typeof module !== "undefined" && typeof process !== "undefined" && !!process.version;
return typeof global === "object" && typeof require === "function" && typeof module !== "undefined" && typeof process !== "undefined" && !!process.version;
}
// src/env/index.ts
@ -2080,7 +2080,7 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
}
// package.json
var version = "1.1.11";
var version = "1.1.12";
// src/xception/extractParams.ts
function extractorsFactory2(extractWeights, paramMappings) {

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dist/face-api.node-cpu.js vendored
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@ -1002,7 +1002,7 @@ function isBrowser() {
// src/env/isNodejs.ts
function isNodejs() {
return typeof global === "object" && true && typeof module !== "undefined" && typeof process !== "undefined" && !!process.version;
return typeof global === "object" && typeof require === "function" && typeof module !== "undefined" && typeof process !== "undefined" && !!process.version;
}
// src/env/index.ts
@ -2262,7 +2262,7 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
}
// package.json
var version = "1.1.11";
var version = "1.1.12";
// src/ageGenderNet/AgeGenderNet.ts
var tf20 = __toModule(require_tfjs_esm());

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dist/face-api.node-gpu.js vendored
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@ -1002,7 +1002,7 @@ function isBrowser() {
// src/env/isNodejs.ts
function isNodejs() {
return typeof global === "object" && true && typeof module !== "undefined" && typeof process !== "undefined" && !!process.version;
return typeof global === "object" && typeof require === "function" && typeof module !== "undefined" && typeof process !== "undefined" && !!process.version;
}
// src/env/index.ts
@ -2262,7 +2262,7 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
}
// package.json
var version = "1.1.11";
var version = "1.1.12";
// src/ageGenderNet/AgeGenderNet.ts
var tf20 = __toModule(require_tfjs_esm());

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dist/face-api.node.js vendored
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@ -1002,7 +1002,7 @@ function isBrowser() {
// src/env/isNodejs.ts
function isNodejs() {
return typeof global === "object" && true && typeof module !== "undefined" && typeof process !== "undefined" && !!process.version;
return typeof global === "object" && typeof require === "function" && typeof module !== "undefined" && typeof process !== "undefined" && !!process.version;
}
// src/env/index.ts
@ -2262,7 +2262,7 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
}
// package.json
var version = "1.1.11";
var version = "1.1.12";
// src/ageGenderNet/AgeGenderNet.ts
var tf20 = __toModule(require_tfjs_esm());

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package.json
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"tfjs"
],
"devDependencies": {
"@tensorflow/tfjs": "^3.3.0",
"@tensorflow/tfjs-backend-wasm": "^3.3.0",
"@tensorflow/tfjs-node": "^3.3.0",
"@tensorflow/tfjs-node-gpu": "^3.3.0",
"@types/node": "^14.14.37",
"@canvas/image": "^1.0.1",
"@tensorflow/tfjs": "^3.4.0",
"@tensorflow/tfjs-backend-wasm": "^3.4.0",
"@tensorflow/tfjs-node": "^3.4.0",
"@tensorflow/tfjs-node-gpu": "^3.4.0",
"@types/node": "^14.14.41",
"@typescript-eslint/eslint-plugin": "^4.22.0",
"@typescript-eslint/parser": "^4.22.0",
"@vladmandic/pilogger": "^0.2.16",
"@vladmandic/pilogger": "^0.2.17",
"canvas": "^2.7.0",
"chokidar": "^3.5.1",
"dayjs": "^1.10.4",
"esbuild": "^0.11.10",
"esbuild": "^0.11.11",
"eslint": "^7.24.0",
"eslint-config-airbnb-base": "^14.2.1",
"eslint-plugin-import": "^2.22.1",
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"eslint-plugin-promise": "^5.1.0",
"rimraf": "^3.0.2",
"seedrandom": "^3.0.5",
"simple-git": "^2.37.0",
"simple-git": "^2.38.0",
"tslib": "^2.2.0",
"typedoc": "^0.20.35",
"typescript": "^4.2.4"