allow backend change in demo via url params
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@ -9,12 +9,13 @@
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## Changelog
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### **HEAD -> master** 2021/09/29 mandic00@live.com
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- fix face matcher
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### **1.5.4** 2021/09/29 mandic00@live.com
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### **origin/master** 2021/09/18 mandic00@live.com
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### **1.5.3** 2021/09/16 mandic00@live.com
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- simplify tfjs imports
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@ -9,12 +9,7 @@ const maxResults = 10; // maximum number of results to return
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const samples = ['sample1.jpg', 'sample2.jpg', 'sample3.jpg', 'sample4.jpg', 'sample5.jpg', 'sample6.jpg']; // sample images to be loaded using http
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// helper function to pretty-print json object to string
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function str(json) {
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let text = '<font color="lightblue">';
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text += json ? JSON.stringify(json).replace(/{|}|"|\[|\]/g, '').replace(/,/g, ', ') : '';
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text += '</font>';
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return text;
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}
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const str = (json) => (json ? JSON.stringify(json).replace(/{|}|"|\[|\]/g, '').replace(/,/g, ', ') : '');
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// helper function to print strings to html document as a log
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function log(...txt) {
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@ -110,12 +105,17 @@ async function main() {
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// initialize tfjs
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log('FaceAPI Test');
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// if you want to use wasm backend location for wasm binaries must be specified
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// await faceapi.tf.setWasmPaths('../node_modules/@tensorflow/tfjs-backend-wasm/dist/');
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// await faceapi.tf.setBackend('wasm');
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// default is webgl backend
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await faceapi.tf.setBackend('webgl');
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const params = new URLSearchParams(location.search);
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log('url options:', params.toString());
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if (params.has('backend')) {
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const backend = params.get('backend');
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await faceapi.tf.setWasmPaths('https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.9.0/dist/');
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log('overriding backend:', backend);
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await faceapi.tf.setBackend(backend);
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} else {
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// default is webgl backend
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await faceapi.tf.setBackend('webgl');
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}
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await faceapi.tf.enableProdMode();
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await faceapi.tf.ENV.set('DEBUG', false);
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@ -163,7 +163,7 @@ async function main() {
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.withFaceDescriptors()
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.withAgeAndGender();
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// print results to screen
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print('TinyFace Detector', img, dataTinyYolo);
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print('TinyFace:', img, dataTinyYolo);
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// actual model execution
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const dataSSDMobileNet = await faceapi
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.detectAllFaces(canvas, optionsSSDMobileNet)
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@ -172,7 +172,7 @@ async function main() {
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.withFaceDescriptors()
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.withAgeAndGender();
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// print results to screen
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print('SSD MobileNet', img, dataSSDMobileNet);
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print('SSDMobileNet:', img, dataSSDMobileNet);
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} catch (err) {
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log(`Image: ${img} Error during processing ${str(err)}`);
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// eslint-disable-next-line no-console
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@ -52,7 +52,7 @@
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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": "^16.10.1",
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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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@ -70,7 +70,7 @@
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"node-fetch": "^3.0.0",
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"rimraf": "^3.0.2",
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"seedrandom": "^3.0.5",
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"simple-git": "^2.45.1",
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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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