mirror of https://github.com/vladmandic/human
minor bug fixes and increased test coverage
Vladimir Mandic
parent
da3ad3033f
commit
94207aad4f
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@ -11,9 +11,8 @@
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### **HEAD -> main** 2022/08/30 mandic00@live.com
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### **origin/main** 2022/08/28 mandic00@live.com
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- add model load exception handling
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- add softwarekernels config option
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- expand type safety
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- full eslint rule rewrite
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1
TODO.md
1
TODO.md
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@ -60,6 +60,7 @@ Enable via `about:config` -> `gfx.offscreencanvas.enabled`
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Example: `console.log(human.env.tensorflow)`
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- Treat models that cannot be found & loaded as non-critical error
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Instead of creating runtime exception, `human` will now report that model could not be loaded
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- Improve `human.reset()` method to reset all config values to defaults
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- Host models in <human-models>
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Models can be directly used without downloading to local storage
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Example: `modelPath: 'https://vladmandic.github.io/human-models/models/facemesh.json'`
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File diff suppressed because one or more lines are too long
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Load Diff
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
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Load Diff
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@ -68,7 +68,7 @@
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"@tensorflow/tfjs-backend-cpu": "^3.20.0",
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"@tensorflow/tfjs-backend-wasm": "^3.20.0",
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"@tensorflow/tfjs-backend-webgl": "^3.20.0",
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"@tensorflow/tfjs-backend-webgpu": "0.0.1-alpha.12",
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"@tensorflow/tfjs-backend-webgpu": "0.0.1-alpha.13",
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"@tensorflow/tfjs-converter": "^3.20.0",
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"@tensorflow/tfjs-core": "^3.20.0",
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"@tensorflow/tfjs-data": "^3.20.0",
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@ -78,8 +78,8 @@
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"@tensorflow/tfjs-tflite": "0.0.1-alpha.8",
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"@types/node": "^18.7.14",
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"@types/offscreencanvas": "^2019.7.0",
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"@typescript-eslint/eslint-plugin": "^5.36.0",
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"@typescript-eslint/parser": "^5.36.0",
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"@typescript-eslint/eslint-plugin": "^5.36.1",
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"@typescript-eslint/parser": "^5.36.1",
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"@vladmandic/build": "^0.7.11",
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"@vladmandic/pilogger": "^0.4.6",
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"@vladmandic/tfjs": "github:vladmandic/tfjs",
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@ -97,7 +97,7 @@
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"rimraf": "^3.0.2",
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"seedrandom": "^3.0.5",
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"tslib": "^2.4.0",
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"typedoc": "0.23.11",
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"typedoc": "0.23.12",
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"typescript": "4.8.2"
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}
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}
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@ -5,12 +5,15 @@ export async function augment(rawCoords, results: Tensor[]) {
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const t: Record<string, Float32Array> = { // all attention models produce 2d results so it needs to be later augmented with correct z-coords
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// mesh: results[0], // already have it in rawCoords // output_mesh_identity
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// flag: results[1], // already processed in parent // conv_faceflag
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lips: await results.filter((r) => r.size === 160)[0].data() as Float32Array, // 80 x 2d = 160 // output_lips
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irisL: await results.filter((r) => r.size === 10)[0].data() as Float32Array, // 5 x 2d = 10 // output_right_iris
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eyeL: await results.filter((r) => r.size === 142)[0].data() as Float32Array, // 71 x 2d = 142 // output_right_eye
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irisR: await results.filter((r) => r.size === 10)[1].data() as Float32Array, // 5 x 2d = 10 // output_left_iris
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eyeR: await results.filter((r) => r.size === 142)[1].data() as Float32Array, // 71 x 2d = 142// output_left_eye
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lips: await results.filter((r) => r.size === 160)?.[0]?.data() as Float32Array, // 80 x 2d = 160 // output_lips
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irisL: await results.filter((r) => r.size === 10)?.[0]?.data() as Float32Array, // 5 x 2d = 10 // output_right_iris
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eyeL: await results.filter((r) => r.size === 142)?.[0]?.data() as Float32Array, // 71 x 2d = 142 // output_right_eye
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irisR: await results.filter((r) => r.size === 10)?.[1]?.data() as Float32Array, // 5 x 2d = 10 // output_left_iris
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eyeR: await results.filter((r) => r.size === 142)?.[1]?.data() as Float32Array, // 71 x 2d = 142// output_left_eye
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};
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for (const val of Object.values(t)) {
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if (!val) return rawCoords; // could not find tensor
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}
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// augment iris: adds additional 5 keypoints per eye
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const irisLDepth = constants.LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.reduce((prev, curr) => prev += rawCoords[curr][2], 0) / constants.LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.length; // get average z-coord for iris
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@ -90,6 +90,7 @@ export async function predict(input: Tensor, config: Config): Promise<FaceResult
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if (config.debug) log('face mesh detection requested, but model is not loaded');
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} else { // mesh enabled
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if (config.face.attention?.enabled && !env.kernels.includes('atan2')) {
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config.face.attention.enabled = false;
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tf.dispose(face.tensor);
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return faces;
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}
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@ -97,7 +98,6 @@ export async function predict(input: Tensor, config: Config): Promise<FaceResult
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const confidenceT = results.find((t) => t.shape[t.shape.length - 1] === 1) as Tensor;
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const faceConfidence = await confidenceT.data();
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face.faceScore = Math.round(100 * faceConfidence[0]) / 100;
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if (face.faceScore < (config.face.detector?.minConfidence || 1)) { // low confidence in detected mesh
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box.confidence = face.faceScore; // reset confidence of cached box
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if (config.face.mesh.keepInvalid) {
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@ -204,11 +204,15 @@ export class Human {
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const currentBackend = this.config.backend; // save backend;
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this.config = JSON.parse(JSON.stringify(defaults));
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this.config.backend = currentBackend;
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image.reset();
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env.initial = true;
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}
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/** Validate current configuration schema */
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validate(userConfig?: Partial<Config>) {
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return validate(defaults, userConfig || this.config);
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const msgs = validate(defaults, userConfig || this.config);
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if (msgs.length === 0) this.config = mergeDeep(this.config, userConfig) as Config;
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return msgs;
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}
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/** Check model for invalid kernel ops for current backend */
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@ -280,6 +284,7 @@ export class Human {
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async init(): Promise<void> {
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await backend.check(this, true);
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await this.tf.ready();
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image.reset();
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}
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/** Load method preloads all configured models on-demand
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@ -24,6 +24,13 @@ const last: { inputSum: number, cacheDiff: number, sumMethod: number, inputTenso
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inputTensor: undefined,
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};
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export function reset() {
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last.inputSum = 0;
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last.cacheDiff = 1;
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last.sumMethod = 0;
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last.inputTensor = undefined;
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}
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export function canvas(width: number, height: number): AnyCanvas {
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let c: AnyCanvas;
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if (env.browser) { // browser defines canvas object
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@ -123,7 +123,7 @@ export async function load(instance: Human): Promise<void> {
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if (instance.config.face.enabled && instance.config.face.description?.enabled && !instance.models.faceres) instance.models.faceres = faceres.load(instance.config);
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if (instance.config.face.enabled && instance.config.face.emotion?.enabled && !instance.models.emotion) instance.models.emotion = emotion.load(instance.config);
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if (instance.config.face.enabled && instance.config.face.iris?.enabled && !instance.config.face.attention?.enabled && !instance.models.faceiris) instance.models.faceiris = iris.load(instance.config);
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if (instance.config.face.enabled && instance.config.face.mesh?.enabled && !instance.models.facemesh) instance.models.facemesh = facemesh.load(instance.config);
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if (instance.config.face.enabled && instance.config.face.mesh?.enabled && (!instance.models.facemesh)) instance.models.facemesh = facemesh.load(instance.config);
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if (instance.config.face.enabled && instance.config.face['gear']?.enabled && !instance.models.gear) instance.models.gear = gear.load(instance.config);
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if (instance.config.face.enabled && instance.config.face['ssrnet']?.enabled && !instance.models.ssrnetage) instance.models.ssrnetage = ssrnetAge.load(instance.config);
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if (instance.config.face.enabled && instance.config.face['ssrnet']?.enabled && !instance.models.ssrnetgender) instance.models.ssrnetgender = ssrnetGender.load(instance.config);
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@ -48,6 +48,7 @@ async function process(res: Tensor | null, outputShape: [number, number], config
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for (const id of Array.from(nms)) {
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const score = Math.trunc(100 * detections[0][id][4]) / 100;
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const classVal = detections[0][id][5];
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if (Number.isNaN(classVal)) continue;
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const label = labels[classVal].label as ObjectType;
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const [x, y] = [
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detections[0][id][0] / inputSize,
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@ -13,11 +13,11 @@
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<style>
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@font-face { font-family: 'Lato'; font-display: swap; font-style: normal; font-weight: 100; src: local('Lato'), url('../../assets/lato-light.woff2') }
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html { font-family: 'Lato', 'Segoe UI'; font-size: 14px; font-variant: small-caps; }
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body { margin: 0; background: black; color: white; width: 100vw; overflow-x: hidden; }
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body { margin: 0; background: black; color: white; width: 100vw; }
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.canvas { position: fixed; bottom: 10px; right: 10px; width: 256px; height: 256px; z-index: 99; }
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.events { position: fixed; top: 10px; right: 10px; width: 12rem; height: 1.25rem; background-color: grey; padding: 8px; z-index: 99; }
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.state { position: fixed; top: 60px; right: 10px; width: 12rem; height: 1.25rem; background-color: grey; padding: 8px; z-index: 99; }
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.pre { line-height: 150%; white-space: break-spaces; }
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.pre { line-height: 150%; }
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</style>
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</head>
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<body>
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146
test/browser.js
146
test/browser.js
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@ -1,12 +1,6 @@
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import { Human } from '../dist/human.esm.js';
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const config = {
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async: true,
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warmup: 'none',
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debug: true,
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cacheSensitivity: 0,
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object: { enabled: true },
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};
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let human;
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const backends = ['wasm', 'humangl', 'webgl', 'webgpu'];
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@ -68,10 +62,72 @@ async function events(event) {
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document.getElementById('events').innerText = `${Math.round(performance.now() - start)}ms Event: ${event}`;
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}
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async function testDefault(title, testConfig = {}) {
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const t0 = human.now();
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let res;
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for (const model of Object.keys(human.models)) { // unload models
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if (human.models[model]) {
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// if (human.models[model].dispose) human.models[model].dispose();
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human.models[model] = null;
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}
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}
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human.reset();
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res = human.validate(testConfig); // validate
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if (res && res.length > 0) log(' invalid configuration', res);
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log(`test ${title}/${human.tf.getBackend()}`, human.config);
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await human.load();
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const models = Object.keys(human.models).map((model) => ({ name: model, loaded: (human.models[model] !== null) }));
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log(' models', models);
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const ops = await human.check();
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if (ops && ops.length > 0) log(' missing ops', ops);
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const img = await image('../../samples/in/ai-body.jpg');
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const input = await human.image(img); // process image
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draw(input.canvas);
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res = await human.warmup({ warmup: 'face' }); // warmup
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draw(res.canvas);
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const t1 = human.now();
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res = await human.detect(input.tensor, testConfig); // run detect
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const t2 = human.now();
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human.next(); // run interpolation
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const persons = res.persons; // run persons getter
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log(' summary', { persons: persons.length, face: res.face.length, body: res.body.length, hand: res.hand.length, object: res.object.length, gesture: res.gesture.length });
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// log(' memory', human.tf.memory());
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// log(' performance', human.performance);
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human.tf.dispose(input.tensor);
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log(` finished ${title}/${human.tf.getBackend()}`, { init: Math.round(t1 - t0), detect: Math.round(t2 - t1) });
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return res;
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}
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async function runBenchmark() {
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const img = await image('../../samples/in/ai-face.jpg');
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human.reset();
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const s0 = human.now();
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await human.load();
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await human.warmup();
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const s1 = human.now();
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for (const val of [0, 0.25, 0.5, 0.75, 10]) {
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human.performance = {};
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const t0 = performance.now();
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for (let i = 0; i < 10; i++) {
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const res = await human.detect(img, { cacheSensitivity: val, filter: { pixelate: 5 * i }, object: { enabled: true } }); // run detect with increased pixelization on each iteration
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draw(res.canvas);
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}
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const t1 = performance.now();
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log(' benchmark', { time: Math.round((t1 - t0) / 10), backend: human.tf.getBackend(), cacheSensitivity: val, performance: human.performance });
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await wait(1);
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}
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const s2 = human.now();
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log(' total', human.tf.getBackend(), { detect: Math.round(s2 - s1), init: Math.round(s1 - s0) });
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draw();
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}
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async function main() {
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log('human tests');
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let res;
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const human = new Human(config);
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// create instance
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human = new Human({ debug: true });
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// explicit init
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await human.init();
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human.events.addEventListener('warmup', () => events('warmup'));
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human.events.addEventListener('image', () => events('image'));
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@ -83,60 +139,36 @@ async function main() {
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const env = JSON.parse(JSON.stringify(human.env));
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env.kernels = human.env.kernels.length;
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detailed('environment', env);
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// detailed('config', human.config);
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detailed('config', human.config);
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await human.load();
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const models = Object.keys(human.models).map((model) => ({ name: model, loaded: (human.models[model] !== null) }));
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log('models', models);
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for (const backend of backends) {
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log();
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log('test start:', backend);
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human.config.backend = backend;
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await human.init(); // init
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if (human.tf.getBackend() !== backend) {
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log('desired', backend, 'detected', human.tf.getBackend());
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continue; // wrong backend
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}
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await testDefault('default', { debug: true });
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await testDefault('sync', { debug: true, async: false });
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await testDefault('none', { debug: true, async: true, face: { enabled: false }, body: { enabled: false }, hand: { enabled: false }, gesture: { enabled: false }, segmentation: { enabled: false }, object: { enabled: false } });
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await testDefault('object', { debug: true, async: true, face: { enabled: false }, body: { enabled: false }, hand: { enabled: false }, gesture: { enabled: false }, segmentation: { enabled: false }, object: { enabled: true } });
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// TBD detectors only
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// TBD segmentation
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// TBD face match
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// TBD non-default models
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// TBD web workers
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// TBD multiple instances
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}
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log('tests complete');
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for (const backend of backends) {
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log('benchmark backend:', backend);
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human.config.backend = backend;
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await human.init();
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log('desired', backend, 'detected', human.tf.getBackend());
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if (human.tf.getBackend() !== backend) {
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continue;
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}
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log('memory', human.tf.memory());
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res = await human.validate();
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log('validate', res);
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res = await human.warmup({ warmup: 'face' });
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draw(res.canvas);
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log('warmup', 'face');
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let img = await image('../../samples/in/ai-body.jpg');
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const input = await human.image(img);
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log('input', input.tensor.shape);
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draw(res.canvas);
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res = await human.detect(input.tensor);
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log('detect');
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human.next();
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log('interpolate');
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const persons = res.persons;
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log('persons');
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log('summary', { persons: persons.length, face: res.face.length, body: res.body.length, hand: res.hand.length, object: res.object.length, gesture: res.gesture.length });
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log('performance', human.performance);
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human.tf.dispose(input.tensor);
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draw();
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img = await image('../../samples/in/ai-face.jpg');
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for (const val of [0, 0.25, 0.5, 0.75, 10]) {
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human.performance = {};
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const t0 = performance.now();
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for (let i = 0; i < 10; i++) {
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res = await human.detect(img, { cacheSensitivity: val, filter: { pixelate: 5 * i }, object: { enabled: false } });
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draw(res.canvas);
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}
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const t1 = performance.now();
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log('benchmark', { time: Math.round((t1 - t0) / 10), cacheSensitivity: val, performance: human.performance });
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await wait(10);
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}
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draw();
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log('memory', human.tf.memory());
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if (human.tf.getBackend() !== backend) continue; // wrong backend
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await runBenchmark();
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}
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log('benchmarks complete');
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clearInterval(timer);
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log();
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log('tests complete');
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}
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main();
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477
test/browser.log
477
test/browser.log
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@ -1,7 +1,7 @@
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10:13:35.412 +00001ms human tests
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10:13:35.517 +00105ms version 2.9.3
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10:13:35.517 +00000ms tfjs 3.19.0
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10:13:35.517 +00000ms environment {
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11:05:50.622 +00000ms human tests
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11:05:50.903 +00281ms version 2.9.4
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11:05:50.903 +00000ms tfjs 3.20.0
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11:05:50.904 +00001ms environment {
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browser: true,
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node: false,
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worker: false,
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@ -16,10 +16,11 @@
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],
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initial: true,
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tfjs: {
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version: 3.19.0
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version: 3.20.0
|
||||
},
|
||||
offscreen: true,
|
||||
perfadd: false,
|
||||
tensorflow: {},
|
||||
wasm: {
|
||||
supported: true,
|
||||
backend: true
|
||||
|
|
@ -38,375 +39,99 @@
|
|||
cpu: {
|
||||
flags: []
|
||||
},
|
||||
kernels: [
|
||||
_fusedmatmul,
|
||||
abs,
|
||||
acos,
|
||||
acosh,
|
||||
add,
|
||||
addn,
|
||||
all,
|
||||
any,
|
||||
argmax,
|
||||
argmin,
|
||||
asin,
|
||||
asinh,
|
||||
atan,
|
||||
atan2,
|
||||
atanh,
|
||||
avgpool,
|
||||
avgpool3d,
|
||||
avgpool3dgrad,
|
||||
avgpoolgrad,
|
||||
batchmatmul,
|
||||
fusedbatchnorm,
|
||||
batchtospacend,
|
||||
bincount,
|
||||
broadcastargs,
|
||||
cast,
|
||||
ceil,
|
||||
clipbyvalue,
|
||||
complex,
|
||||
complexabs,
|
||||
concat,
|
||||
conv2d,
|
||||
conv2dbackpropfilter,
|
||||
conv2dbackpropinput,
|
||||
conv3d,
|
||||
conv3dbackpropfilterv2,
|
||||
conv3dbackpropinputv2,
|
||||
cos,
|
||||
cosh,
|
||||
cropandresize,
|
||||
cumprod,
|
||||
cumsum,
|
||||
densebincount,
|
||||
depthtospace,
|
||||
depthwiseconv2dnative,
|
||||
depthwiseconv2dnativebackpropfilter,
|
||||
depthwiseconv2dnativebackpropinput,
|
||||
diag,
|
||||
dilation2d,
|
||||
einsum,
|
||||
elu,
|
||||
elugrad,
|
||||
equal,
|
||||
erf,
|
||||
exp,
|
||||
expanddims,
|
||||
expm1,
|
||||
fft,
|
||||
fill,
|
||||
flipleftright,
|
||||
floor,
|
||||
floordiv,
|
||||
frompixels,
|
||||
fusedconv2d,
|
||||
fuseddepthwiseconv2d,
|
||||
gathernd,
|
||||
gatherv2,
|
||||
greater,
|
||||
greaterequal,
|
||||
identity,
|
||||
ifft,
|
||||
imag,
|
||||
isfinite,
|
||||
isinf,
|
||||
isnan,
|
||||
leakyrelu,
|
||||
less,
|
||||
lessequal,
|
||||
linspace,
|
||||
log,
|
||||
log1p,
|
||||
logicaland,
|
||||
logicalnot,
|
||||
logicalor,
|
||||
lrn,
|
||||
lrngrad,
|
||||
max,
|
||||
maximum,
|
||||
maxpool,
|
||||
maxpool3d,
|
||||
maxpool3dgrad,
|
||||
maxpoolgrad,
|
||||
maxpoolwithargmax,
|
||||
mean,
|
||||
min,
|
||||
minimum,
|
||||
mirrorpad,
|
||||
mod,
|
||||
multinomial,
|
||||
multiply,
|
||||
neg,
|
||||
nonmaxsuppressionv3,
|
||||
nonmaxsuppressionv4,
|
||||
nonmaxsuppressionv5,
|
||||
notequal,
|
||||
onehot,
|
||||
oneslike,
|
||||
pack,
|
||||
padv2,
|
||||
pow,
|
||||
prelu,
|
||||
prod,
|
||||
range,
|
||||
real,
|
||||
realdiv,
|
||||
reciprocal,
|
||||
relu,
|
||||
relu6,
|
||||
reshape,
|
||||
resizebilinear,
|
||||
resizebilineargrad,
|
||||
resizenearestneighbor,
|
||||
resizenearestneighborgrad,
|
||||
reverse,
|
||||
rotatewithoffset,
|
||||
round,
|
||||
rsqrt,
|
||||
scatternd,
|
||||
searchsorted,
|
||||
select,
|
||||
selu,
|
||||
sigmoid,
|
||||
sign,
|
||||
sin,
|
||||
sinh,
|
||||
slice,
|
||||
softmax,
|
||||
softplus,
|
||||
spacetobatchnd,
|
||||
sparsefillemptyrows,
|
||||
sparsereshape,
|
||||
sparsesegmentmean,
|
||||
sparsesegmentsum,
|
||||
sparsetodense,
|
||||
splitv,
|
||||
sqrt,
|
||||
square,
|
||||
squareddifference,
|
||||
step,
|
||||
stridedslice,
|
||||
stringngrams,
|
||||
stringsplit,
|
||||
stringtohashbucketfast,
|
||||
sub,
|
||||
sum,
|
||||
tan,
|
||||
tanh,
|
||||
tile,
|
||||
topk,
|
||||
transform,
|
||||
transpose,
|
||||
unique,
|
||||
unpack,
|
||||
unsortedsegmentsum,
|
||||
zeroslike,
|
||||
floormod
|
||||
]
|
||||
kernels: 166
|
||||
}
|
||||
10:13:35.527 +00010ms config {
|
||||
backend: humangl,
|
||||
modelBasePath: ../models/,
|
||||
cacheModels: true,
|
||||
validateModels: true,
|
||||
wasmPath: https: //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.19.0/dist/,
|
||||
wasmPlatformFetch: false,
|
||||
debug: true,
|
||||
async: true,
|
||||
warmup: none,
|
||||
cacheSensitivity: 0,
|
||||
skipAllowed: false,
|
||||
deallocate: false,
|
||||
filter: {
|
||||
enabled: true,
|
||||
equalization: false,
|
||||
width: 0,
|
||||
height: 0,
|
||||
flip: false,
|
||||
return: true,
|
||||
brightness: 0,
|
||||
contrast: 0,
|
||||
sharpness: 0,
|
||||
blur: 0,
|
||||
saturation: 0,
|
||||
hue: 0,
|
||||
negative: false,
|
||||
sepia: false,
|
||||
vintage: false,
|
||||
kodachrome: false,
|
||||
technicolor: false,
|
||||
polaroid: false,
|
||||
pixelate: 0
|
||||
},
|
||||
gesture: {
|
||||
enabled: true
|
||||
},
|
||||
face: {
|
||||
enabled: true,
|
||||
detector: {
|
||||
modelPath: blazeface.json,
|
||||
rotation: true,
|
||||
maxDetected: 1,
|
||||
skipFrames: 99,
|
||||
skipTime: 2500,
|
||||
minConfidence: 0.2,
|
||||
iouThreshold: 0.1,
|
||||
mask: false,
|
||||
return: false
|
||||
},
|
||||
mesh: {
|
||||
enabled: true,
|
||||
modelPath: facemesh.json,
|
||||
keepInvalid: false
|
||||
},
|
||||
attention: {
|
||||
enabled: false,
|
||||
modelPath: facemesh-attention.json
|
||||
},
|
||||
iris: {
|
||||
enabled: true,
|
||||
modelPath: iris.json
|
||||
},
|
||||
emotion: {
|
||||
enabled: true,
|
||||
minConfidence: 0.1,
|
||||
skipFrames: 99,
|
||||
skipTime: 1500,
|
||||
modelPath: emotion.json
|
||||
},
|
||||
description: {
|
||||
enabled: true,
|
||||
modelPath: faceres.json,
|
||||
skipFrames: 99,
|
||||
skipTime: 3000,
|
||||
minConfidence: 0.1
|
||||
},
|
||||
antispoof: {
|
||||
enabled: false,
|
||||
skipFrames: 99,
|
||||
skipTime: 4000,
|
||||
modelPath: antispoof.json
|
||||
},
|
||||
liveness: {
|
||||
enabled: false,
|
||||
skipFrames: 99,
|
||||
skipTime: 4000,
|
||||
modelPath: liveness.json
|
||||
}
|
||||
},
|
||||
body: {
|
||||
enabled: true,
|
||||
modelPath: movenet-lightning.json,
|
||||
maxDetected: -1,
|
||||
minConfidence: 0.3,
|
||||
skipFrames: 1,
|
||||
skipTime: 200
|
||||
},
|
||||
hand: {
|
||||
enabled: true,
|
||||
rotation: true,
|
||||
skipFrames: 99,
|
||||
skipTime: 1000,
|
||||
minConfidence: 0.5,
|
||||
iouThreshold: 0.2,
|
||||
maxDetected: -1,
|
||||
landmarks: true,
|
||||
detector: {
|
||||
modelPath: handtrack.json
|
||||
},
|
||||
skeleton: {
|
||||
modelPath: handlandmark-full.json
|
||||
}
|
||||
},
|
||||
object: {
|
||||
enabled: true,
|
||||
modelPath: mb3-centernet.json,
|
||||
minConfidence: 0.2,
|
||||
iouThreshold: 0.4,
|
||||
maxDetected: 10,
|
||||
skipFrames: 99,
|
||||
skipTime: 2000
|
||||
},
|
||||
segmentation: {
|
||||
enabled: false,
|
||||
modelPath: selfie.json,
|
||||
blur: 8
|
||||
}
|
||||
}
|
||||
10:13:35.838 +00311ms models [{name: ssrnetage, loaded: false}, {name: gear, loaded: false}, {name: blazeposedetect, loaded: false}, {name: blazepose, loaded: false}, {name: centernet, loaded: true}, {name: efficientpose, loaded: false}, {name: mobilefacenet, loaded: false}, {name: insightface, loaded: false}, {name: emotion, loaded: true}, {name: facedetect, loaded: true}, {name: faceiris, loaded: true}, {name: facemesh, loaded: true}, {name: faceres, loaded: true}, {name: ssrnetgender, loaded: false}, {name: handpose, loaded: false}, {name: handskeleton, loaded: true}, {name: handtrack, loaded: true}, {name: liveness, loaded: false}, {name: movenet, loaded: true}, {name: nanodet, loaded: false}, {name: posenet, loaded: false}, {name: segmentation, loaded: false}, {name: antispoof, loaded: false}]
|
||||
10:13:35.871 +00033ms
|
||||
10:13:35.903 +00032ms test start: wasm
|
||||
10:13:36.129 +00226ms desired wasm detected wasm
|
||||
10:13:36.162 +00033ms memory {unreliable: false, numTensors: 1763, numDataBuffers: 1763, numBytes: 60948232}
|
||||
10:13:36.196 +00034ms validate []
|
||||
10:13:37.456 +01260ms warmup face
|
||||
10:13:37.559 +00103ms input [1, 1200, 1200, 3]
|
||||
10:13:38.433 +00874ms detect
|
||||
10:13:38.471 +00038ms interpolate
|
||||
10:13:38.522 +00051ms persons
|
||||
10:13:38.558 +00036ms summary {persons: 1, face: 1, body: 1, hand: 1, object: 1, gesture: 8}
|
||||
10:13:38.595 +00037ms performance {initBackend: 181, loadModels: 285, inputProcess: 1, totalFrames: 2, cachedFrames: 0, cacheCheck: 0, total: 833, warmup: 1227}
|
||||
10:13:39.730 +01135ms benchmark {time: 109, cacheSensitivity: 0, performance: {inputProcess: 2, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 50}}
|
||||
10:13:40.410 +00680ms benchmark {time: 65, cacheSensitivity: 0.25, performance: {inputProcess: 2, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 51}}
|
||||
10:13:41.083 +00673ms benchmark {time: 64, cacheSensitivity: 0.5, performance: {inputProcess: 2, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 49}}
|
||||
10:13:41.758 +00675ms benchmark {time: 64, cacheSensitivity: 0.75, performance: {inputProcess: 2, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 48}}
|
||||
10:13:42.121 +00363ms benchmark {time: 33, cacheSensitivity: 10, performance: {inputProcess: 2, totalFrames: 10, cachedFrames: 8, cacheCheck: 0, total: 48}}
|
||||
10:13:42.160 +00039ms memory {unreliable: false, numTensors: 1764, numDataBuffers: 1764, numBytes: 61734664}
|
||||
10:13:42.189 +00029ms
|
||||
10:13:42.219 +00030ms test start: humangl
|
||||
10:13:42.253 +00034ms desired humangl detected humangl
|
||||
10:13:42.281 +00028ms memory {unreliable: false, numBytesInGPU: 0, numBytesInGPUAllocated: 0, numBytesInGPUFree: 0, numTensors: 1770, numDataBuffers: 1770, numBytes: 61734696}
|
||||
10:13:42.311 +00030ms validate []
|
||||
10:13:44.370 +02059ms warmup face
|
||||
10:13:44.433 +00063ms input [1, 1200, 1200, 3]
|
||||
10:13:46.227 +01794ms detect
|
||||
10:13:46.260 +00033ms interpolate
|
||||
10:13:46.301 +00041ms persons
|
||||
10:13:46.329 +00028ms summary {persons: 0, face: 0, body: 1, hand: 0, object: 0, gesture: 0}
|
||||
10:13:46.359 +00030ms performance {inputProcess: 0, totalFrames: 12, cachedFrames: 9, cacheCheck: 0, total: 1762, initBackend: 0, warmup: 2026}
|
||||
10:13:48.486 +02127ms benchmark {time: 209, cacheSensitivity: 0, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 56}}
|
||||
10:13:49.281 +00795ms benchmark {time: 75, cacheSensitivity: 0.25, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 5, total: 57}}
|
||||
10:13:50.135 +00854ms benchmark {time: 81, cacheSensitivity: 0.5, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 4, total: 64}}
|
||||
10:13:51.047 +00912ms benchmark {time: 87, cacheSensitivity: 0.75, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 5, total: 63}}
|
||||
10:13:51.637 +00590ms benchmark {time: 55, cacheSensitivity: 10, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 8, cacheCheck: 5, total: 61}}
|
||||
10:13:51.687 +00050ms memory {unreliable: false, numBytesInGPU: 56099560, numBytesInGPUAllocated: 701598940, numBytesInGPUFree: 645499380, numTensors: 1770, numDataBuffers: 1770, numBytes: 61734696}
|
||||
10:13:51.725 +00038ms
|
||||
10:13:51.758 +00033ms test start: webgl
|
||||
10:13:51.804 +00046ms desired webgl detected webgl
|
||||
10:13:51.845 +00041ms memory {unreliable: false, numBytesInGPU: 0, numBytesInGPUAllocated: 0, numBytesInGPUFree: 0, numTensors: 1776, numDataBuffers: 1776, numBytes: 61734728}
|
||||
10:13:51.893 +00048ms validate []
|
||||
10:13:57.083 +05190ms warmup face
|
||||
10:13:57.160 +00077ms input [1, 1200, 1200, 3]
|
||||
10:13:57.876 +00716ms detect
|
||||
10:13:57.916 +00040ms interpolate
|
||||
10:13:57.960 +00044ms persons
|
||||
10:13:58.003 +00043ms summary {persons: 1, face: 1, body: 1, hand: 0, object: 0, gesture: 1}
|
||||
10:13:58.048 +00045ms performance {inputProcess: 0, totalFrames: 12, cachedFrames: 9, cacheCheck: 0, total: 668, initBackend: 0, warmup: 5146}
|
||||
10:13:59.556 +01508ms benchmark {time: 146, cacheSensitivity: 0, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 122}}
|
||||
10:14:01.012 +01456ms benchmark {time: 140, cacheSensitivity: 0.25, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 6, total: 130}}
|
||||
10:14:02.436 +01424ms benchmark {time: 137, cacheSensitivity: 0.5, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 5, total: 127}}
|
||||
10:14:03.931 +01495ms benchmark {time: 144, cacheSensitivity: 0.75, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 4, total: 137}}
|
||||
10:14:04.695 +00764ms benchmark {time: 70, cacheSensitivity: 10, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 8, cacheCheck: 5, total: 134}}
|
||||
10:14:04.756 +00061ms memory {unreliable: false, numBytesInGPU: 56099560, numBytesInGPUAllocated: 701598940, numBytesInGPUFree: 645499380, numTensors: 1776, numDataBuffers: 1776, numBytes: 61734728}
|
||||
10:14:04.810 +00054ms
|
||||
10:14:04.865 +00055ms test start: webgpu
|
||||
10:14:04.956 +00091ms desired webgpu detected webgpu
|
||||
10:14:05.012 +00056ms memory {numBytesInGPU: 0, numBytesAllocatedInGPU: 0, unreliable: false, numTensors: 1782, numDataBuffers: 1782, numBytes: 61734760}
|
||||
10:14:05.068 +00056ms validate []
|
||||
10:14:18.964 +13896ms warmup face
|
||||
10:14:19.032 +00068ms input [1, 1200, 1200, 3]
|
||||
10:14:20.109 +01077ms detect
|
||||
10:14:20.166 +00057ms interpolate
|
||||
10:14:20.224 +00058ms persons
|
||||
10:14:20.275 +00051ms summary {persons: 1, face: 1, body: 1, hand: 0, object: 0, gesture: 1}
|
||||
10:14:20.329 +00054ms performance {inputProcess: 0, totalFrames: 12, cachedFrames: 9, cacheCheck: 0, total: 1025, initBackend: 33, warmup: 13840}
|
||||
10:14:23.824 +03495ms benchmark {time: 343, cacheSensitivity: 0, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 81}}
|
||||
10:14:24.663 +00839ms benchmark {time: 77, cacheSensitivity: 0.25, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 15, total: 82}}
|
||||
10:14:25.583 +00920ms benchmark {time: 85, cacheSensitivity: 0.5, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 10, total: 81}}
|
||||
10:14:26.502 +00919ms benchmark {time: 85, cacheSensitivity: 0.75, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 12, total: 85}}
|
||||
10:14:27.041 +00539ms benchmark {time: 46, cacheSensitivity: 10, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 8, cacheCheck: 9, total: 86}}
|
||||
10:14:27.123 +00082ms memory {numBytesInGPU: 53317336, numBytesAllocatedInGPU: 402350412, unreliable: false, numTensors: 1782, numDataBuffers: 41789, numBytes: 61734760}
|
||||
10:14:27.193 +00070ms
|
||||
10:14:27.261 +00068ms tests complete
|
||||
11:05:51.221 +00317ms test default/wasm {backend: wasm, modelBasePath: ../models/, cacheModels: true, validateModels: true, wasmPath: https: //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.20.0/dist/, wasmPlatformFetch: false, debug: true, async: true, warmup: full, cacheSensitivity: 0.7, skipAllowed: false, deallocate: false, softwareKernels: false, filter: {enabled: true, equalization: false, width: 0, height: 0, flip: false, return: true, brightness: 0, contrast: 0, sharpness: 0, blur: 0, saturation: 0, hue: 0, negative: false, sepia: false, vintage: false, kodachrome: false, technicolor: false, polaroid: false, pixelate: 0}, gesture: {enabled: true}, face: {enabled: true, detector: {modelPath: blazeface.json, rotation: true, maxDetected: 1, skipFrames: 99, skipTime: 2500, minConfidence: 0.2, iouThreshold: 0.1, mask: false, return: false}, mesh: {enabled: true, modelPath: facemesh.json, keepInvalid: false}, attention: {enabled: false, modelPath: facemesh-attention.json}, iris: {enabled: true, modelPath: iris.json}, emotion: {enabled: true, minConfidence: 0.1, skipFrames: 99, skipTime: 1500, modelPath: emotion.json}, description: {enabled: true, modelPath: faceres.json, skipFrames: 99, skipTime: 3000, minConfidence: 0.1}, antispoof: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: antispoof.json}, liveness: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: liveness.json}}, body: {enabled: true, modelPath: movenet-lightning.json, maxDetected: -1, minConfidence: 0.3, skipFrames: 1, skipTime: 200}, hand: {enabled: true, rotation: true, skipFrames: 99, skipTime: 1000, minConfidence: 0.5, iouThreshold: 0.2, maxDetected: -1, landmarks: true, detector: {modelPath: handtrack.json}, skeleton: {modelPath: handlandmark-full.json}}, object: {enabled: false, modelPath: mb3-centernet.json, minConfidence: 0.2, iouThreshold: 0.4, maxDetected: 10, skipFrames: 99, skipTime: 2000}, segmentation: {enabled: false, modelPath: selfie.json, blur: 8}}
|
||||
11:05:51.517 +00296ms models [{name: ssrnetage, loaded: false}, {name: gear, loaded: false}, {name: blazeposedetect, loaded: false}, {name: blazepose, loaded: false}, {name: centernet, loaded: false}, {name: efficientpose, loaded: false}, {name: mobilefacenet, loaded: false}, {name: insightface, loaded: false}, {name: emotion, loaded: true}, {name: facedetect, loaded: true}, {name: faceiris, loaded: true}, {name: facemesh, loaded: true}, {name: faceres, loaded: true}, {name: ssrnetgender, loaded: false}, {name: handpose, loaded: false}, {name: handskeleton, loaded: true}, {name: handtrack, loaded: true}, {name: liveness, loaded: false}, {name: movenet, loaded: true}, {name: nanodet, loaded: false}, {name: posenet, loaded: false}, {name: segmentation, loaded: false}, {name: antispoof, loaded: false}]
|
||||
11:05:53.092 +01575ms summary {persons: 1, face: 1, body: 1, hand: 1, object: 0, gesture: 8}
|
||||
11:05:53.103 +00011ms finished default/wasm {init: 1325, detect: 544}
|
||||
11:05:53.115 +00012ms test sync/wasm {backend: wasm, modelBasePath: ../models/, cacheModels: true, validateModels: true, wasmPath: https: //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.20.0/dist/, wasmPlatformFetch: false, debug: true, async: false, warmup: full, cacheSensitivity: 0.7, skipAllowed: false, deallocate: false, softwareKernels: false, filter: {enabled: true, equalization: false, width: 0, height: 0, flip: false, return: true, brightness: 0, contrast: 0, sharpness: 0, blur: 0, saturation: 0, hue: 0, negative: false, sepia: false, vintage: false, kodachrome: false, technicolor: false, polaroid: false, pixelate: 0}, gesture: {enabled: true}, face: {enabled: true, detector: {modelPath: blazeface.json, rotation: true, maxDetected: 1, skipFrames: 99, skipTime: 2500, minConfidence: 0.2, iouThreshold: 0.1, mask: false, return: false}, mesh: {enabled: true, modelPath: facemesh.json, keepInvalid: false}, attention: {enabled: false, modelPath: facemesh-attention.json}, iris: {enabled: true, modelPath: iris.json}, emotion: {enabled: true, minConfidence: 0.1, skipFrames: 99, skipTime: 1500, modelPath: emotion.json}, description: {enabled: true, modelPath: faceres.json, skipFrames: 99, skipTime: 3000, minConfidence: 0.1}, antispoof: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: antispoof.json}, liveness: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: liveness.json}}, body: {enabled: true, modelPath: movenet-lightning.json, maxDetected: -1, minConfidence: 0.3, skipFrames: 1, skipTime: 200}, hand: {enabled: true, rotation: true, skipFrames: 99, skipTime: 1000, minConfidence: 0.5, iouThreshold: 0.2, maxDetected: -1, landmarks: true, detector: {modelPath: handtrack.json}, skeleton: {modelPath: handlandmark-full.json}}, object: {enabled: false, modelPath: mb3-centernet.json, minConfidence: 0.2, iouThreshold: 0.4, maxDetected: 10, skipFrames: 99, skipTime: 2000}, segmentation: {enabled: false, modelPath: selfie.json, blur: 8}}
|
||||
11:05:53.399 +00284ms models [{name: ssrnetage, loaded: false}, {name: gear, loaded: false}, {name: blazeposedetect, loaded: false}, {name: blazepose, loaded: false}, {name: centernet, loaded: false}, {name: efficientpose, loaded: false}, {name: mobilefacenet, loaded: false}, {name: insightface, loaded: false}, {name: emotion, loaded: true}, {name: facedetect, loaded: true}, {name: faceiris, loaded: true}, {name: facemesh, loaded: true}, {name: faceres, loaded: true}, {name: ssrnetgender, loaded: false}, {name: handpose, loaded: false}, {name: handskeleton, loaded: true}, {name: handtrack, loaded: true}, {name: liveness, loaded: false}, {name: movenet, loaded: true}, {name: nanodet, loaded: false}, {name: posenet, loaded: false}, {name: segmentation, loaded: false}, {name: antispoof, loaded: false}]
|
||||
11:05:54.367 +00968ms summary {persons: 1, face: 1, body: 1, hand: 1, object: 0, gesture: 8}
|
||||
11:05:54.384 +00017ms finished sync/wasm {init: 1096, detect: 155}
|
||||
11:05:54.401 +00017ms test none/wasm {backend: wasm, modelBasePath: ../models/, cacheModels: true, validateModels: true, wasmPath: https: //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.20.0/dist/, wasmPlatformFetch: false, debug: true, async: true, warmup: full, cacheSensitivity: 0.7, skipAllowed: false, deallocate: false, softwareKernels: false, filter: {enabled: true, equalization: false, width: 0, height: 0, flip: false, return: true, brightness: 0, contrast: 0, sharpness: 0, blur: 0, saturation: 0, hue: 0, negative: false, sepia: false, vintage: false, kodachrome: false, technicolor: false, polaroid: false, pixelate: 0}, gesture: {enabled: false}, face: {enabled: false, detector: {modelPath: blazeface.json, rotation: true, maxDetected: 1, skipFrames: 99, skipTime: 2500, minConfidence: 0.2, iouThreshold: 0.1, mask: false, return: false}, mesh: {enabled: true, modelPath: facemesh.json, keepInvalid: false}, attention: {enabled: false, modelPath: facemesh-attention.json}, iris: {enabled: true, modelPath: iris.json}, emotion: {enabled: true, minConfidence: 0.1, skipFrames: 99, skipTime: 1500, modelPath: emotion.json}, description: {enabled: true, modelPath: faceres.json, skipFrames: 99, skipTime: 3000, minConfidence: 0.1}, antispoof: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: antispoof.json}, liveness: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: liveness.json}}, body: {enabled: false, modelPath: movenet-lightning.json, maxDetected: -1, minConfidence: 0.3, skipFrames: 1, skipTime: 200}, hand: {enabled: false, rotation: true, skipFrames: 99, skipTime: 1000, minConfidence: 0.5, iouThreshold: 0.2, maxDetected: -1, landmarks: true, detector: {modelPath: handtrack.json}, skeleton: {modelPath: handlandmark-full.json}}, object: {enabled: false, modelPath: mb3-centernet.json, minConfidence: 0.2, iouThreshold: 0.4, maxDetected: 10, skipFrames: 99, skipTime: 2000}, segmentation: {enabled: false, modelPath: selfie.json, blur: 8}}
|
||||
11:05:54.435 +00034ms models [{name: ssrnetage, loaded: false}, {name: gear, loaded: false}, {name: blazeposedetect, loaded: false}, {name: blazepose, loaded: false}, {name: centernet, loaded: false}, {name: efficientpose, loaded: false}, {name: mobilefacenet, loaded: false}, {name: insightface, loaded: false}, {name: emotion, loaded: false}, {name: facedetect, loaded: false}, {name: faceiris, loaded: false}, {name: facemesh, loaded: false}, {name: faceres, loaded: false}, {name: ssrnetgender, loaded: false}, {name: handpose, loaded: false}, {name: handskeleton, loaded: false}, {name: handtrack, loaded: false}, {name: liveness, loaded: false}, {name: movenet, loaded: false}, {name: nanodet, loaded: false}, {name: posenet, loaded: false}, {name: segmentation, loaded: false}, {name: antispoof, loaded: false}]
|
||||
11:05:54.537 +00102ms summary {persons: 0, face: 0, body: 0, hand: 0, object: 0, gesture: 0}
|
||||
11:05:54.569 +00032ms finished none/wasm {init: 133, detect: 3}
|
||||
11:05:54.602 +00033ms test object/wasm {backend: wasm, modelBasePath: ../models/, cacheModels: true, validateModels: true, wasmPath: https: //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.20.0/dist/, wasmPlatformFetch: false, debug: true, async: true, warmup: full, cacheSensitivity: 0.7, skipAllowed: false, deallocate: false, softwareKernels: false, filter: {enabled: true, equalization: false, width: 0, height: 0, flip: false, return: true, brightness: 0, contrast: 0, sharpness: 0, blur: 0, saturation: 0, hue: 0, negative: false, sepia: false, vintage: false, kodachrome: false, technicolor: false, polaroid: false, pixelate: 0}, gesture: {enabled: false}, face: {enabled: false, detector: {modelPath: blazeface.json, rotation: true, maxDetected: 1, skipFrames: 99, skipTime: 2500, minConfidence: 0.2, iouThreshold: 0.1, mask: false, return: false}, mesh: {enabled: true, modelPath: facemesh.json, keepInvalid: false}, attention: {enabled: false, modelPath: facemesh-attention.json}, iris: {enabled: true, modelPath: iris.json}, emotion: {enabled: true, minConfidence: 0.1, skipFrames: 99, skipTime: 1500, modelPath: emotion.json}, description: {enabled: true, modelPath: faceres.json, skipFrames: 99, skipTime: 3000, minConfidence: 0.1}, antispoof: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: antispoof.json}, liveness: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: liveness.json}}, body: {enabled: false, modelPath: movenet-lightning.json, maxDetected: -1, minConfidence: 0.3, skipFrames: 1, skipTime: 200}, hand: {enabled: false, rotation: true, skipFrames: 99, skipTime: 1000, minConfidence: 0.5, iouThreshold: 0.2, maxDetected: -1, landmarks: true, detector: {modelPath: handtrack.json}, skeleton: {modelPath: handlandmark-full.json}}, object: {enabled: true, modelPath: mb3-centernet.json, minConfidence: 0.2, iouThreshold: 0.4, maxDetected: 10, skipFrames: 99, skipTime: 2000}, segmentation: {enabled: false, modelPath: selfie.json, blur: 8}}
|
||||
11:05:54.684 +00082ms models [{name: ssrnetage, loaded: false}, {name: gear, loaded: false}, {name: blazeposedetect, loaded: false}, {name: blazepose, loaded: false}, {name: centernet, loaded: true}, {name: efficientpose, loaded: false}, {name: mobilefacenet, loaded: false}, {name: insightface, loaded: false}, {name: emotion, loaded: false}, {name: facedetect, loaded: false}, {name: faceiris, loaded: false}, {name: facemesh, loaded: false}, {name: faceres, loaded: false}, {name: ssrnetgender, loaded: false}, {name: handpose, loaded: false}, {name: handskeleton, loaded: false}, {name: handtrack, loaded: false}, {name: liveness, loaded: false}, {name: movenet, loaded: false}, {name: nanodet, loaded: false}, {name: posenet, loaded: false}, {name: segmentation, loaded: false}, {name: antispoof, loaded: false}]
|
||||
11:05:54.952 +00268ms summary {persons: 0, face: 0, body: 0, hand: 0, object: 1, gesture: 0}
|
||||
11:05:55.006 +00054ms finished object/wasm {init: 281, detect: 69}
|
||||
11:05:55.072 +00066ms test default/humangl {backend: humangl, modelBasePath: ../models/, cacheModels: true, validateModels: true, wasmPath: https: //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.20.0/dist/, wasmPlatformFetch: false, debug: true, async: true, warmup: full, cacheSensitivity: 0.7, skipAllowed: false, deallocate: false, softwareKernels: false, filter: {enabled: true, equalization: false, width: 0, height: 0, flip: false, return: true, brightness: 0, contrast: 0, sharpness: 0, blur: 0, saturation: 0, hue: 0, negative: false, sepia: false, vintage: false, kodachrome: false, technicolor: false, polaroid: false, pixelate: 0}, gesture: {enabled: true}, face: {enabled: true, detector: {modelPath: blazeface.json, rotation: true, maxDetected: 1, skipFrames: 99, skipTime: 2500, minConfidence: 0.2, iouThreshold: 0.1, mask: false, return: false}, mesh: {enabled: true, modelPath: facemesh.json, keepInvalid: false}, attention: {enabled: false, modelPath: facemesh-attention.json}, iris: {enabled: true, modelPath: iris.json}, emotion: {enabled: true, minConfidence: 0.1, skipFrames: 99, skipTime: 1500, modelPath: emotion.json}, description: {enabled: true, modelPath: faceres.json, skipFrames: 99, skipTime: 3000, minConfidence: 0.1}, antispoof: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: antispoof.json}, liveness: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: liveness.json}}, body: {enabled: true, modelPath: movenet-lightning.json, maxDetected: -1, minConfidence: 0.3, skipFrames: 1, skipTime: 200}, hand: {enabled: true, rotation: true, skipFrames: 99, skipTime: 1000, minConfidence: 0.5, iouThreshold: 0.2, maxDetected: -1, landmarks: true, detector: {modelPath: handtrack.json}, skeleton: {modelPath: handlandmark-full.json}}, object: {enabled: false, modelPath: mb3-centernet.json, minConfidence: 0.2, iouThreshold: 0.4, maxDetected: 10, skipFrames: 99, skipTime: 2000}, segmentation: {enabled: false, modelPath: selfie.json, blur: 8}}
|
||||
11:05:55.290 +00218ms models [{name: ssrnetage, loaded: false}, {name: gear, loaded: false}, {name: blazeposedetect, loaded: false}, {name: blazepose, loaded: false}, {name: centernet, loaded: false}, {name: efficientpose, loaded: false}, {name: mobilefacenet, loaded: false}, {name: insightface, loaded: false}, {name: emotion, loaded: true}, {name: facedetect, loaded: true}, {name: faceiris, loaded: true}, {name: facemesh, loaded: true}, {name: faceres, loaded: true}, {name: ssrnetgender, loaded: false}, {name: handpose, loaded: false}, {name: handskeleton, loaded: true}, {name: handtrack, loaded: true}, {name: liveness, loaded: false}, {name: movenet, loaded: true}, {name: nanodet, loaded: false}, {name: posenet, loaded: false}, {name: segmentation, loaded: false}, {name: antispoof, loaded: false}]
|
||||
11:06:04.652 +09362ms summary {persons: 1, face: 1, body: 1, hand: 1, object: 0, gesture: 8}
|
||||
11:06:04.732 +00080ms finished default/humangl {init: 8549, detect: 1030}
|
||||
11:06:04.817 +00085ms test sync/humangl {backend: humangl, modelBasePath: ../models/, cacheModels: true, validateModels: true, wasmPath: https: //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.20.0/dist/, wasmPlatformFetch: false, debug: true, async: false, warmup: full, cacheSensitivity: 0.7, skipAllowed: false, deallocate: false, softwareKernels: false, filter: {enabled: true, equalization: false, width: 0, height: 0, flip: false, return: true, brightness: 0, contrast: 0, sharpness: 0, blur: 0, saturation: 0, hue: 0, negative: false, sepia: false, vintage: false, kodachrome: false, technicolor: false, polaroid: false, pixelate: 0}, gesture: {enabled: true}, face: {enabled: true, detector: {modelPath: blazeface.json, rotation: true, maxDetected: 1, skipFrames: 99, skipTime: 2500, minConfidence: 0.2, iouThreshold: 0.1, mask: false, return: false}, mesh: {enabled: true, modelPath: facemesh.json, keepInvalid: false}, attention: {enabled: false, modelPath: facemesh-attention.json}, iris: {enabled: true, modelPath: iris.json}, emotion: {enabled: true, minConfidence: 0.1, skipFrames: 99, skipTime: 1500, modelPath: emotion.json}, description: {enabled: true, modelPath: faceres.json, skipFrames: 99, skipTime: 3000, minConfidence: 0.1}, antispoof: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: antispoof.json}, liveness: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: liveness.json}}, body: {enabled: true, modelPath: movenet-lightning.json, maxDetected: -1, minConfidence: 0.3, skipFrames: 1, skipTime: 200}, hand: {enabled: true, rotation: true, skipFrames: 99, skipTime: 1000, minConfidence: 0.5, iouThreshold: 0.2, maxDetected: -1, landmarks: true, detector: {modelPath: handtrack.json}, skeleton: {modelPath: handlandmark-full.json}}, object: {enabled: false, modelPath: mb3-centernet.json, minConfidence: 0.2, iouThreshold: 0.4, maxDetected: 10, skipFrames: 99, skipTime: 2000}, segmentation: {enabled: false, modelPath: selfie.json, blur: 8}}
|
||||
11:06:05.077 +00260ms models [{name: ssrnetage, loaded: false}, {name: gear, loaded: false}, {name: blazeposedetect, loaded: false}, {name: blazepose, loaded: false}, {name: centernet, loaded: false}, {name: efficientpose, loaded: false}, {name: mobilefacenet, loaded: false}, {name: insightface, loaded: false}, {name: emotion, loaded: true}, {name: facedetect, loaded: true}, {name: faceiris, loaded: true}, {name: facemesh, loaded: true}, {name: faceres, loaded: true}, {name: ssrnetgender, loaded: false}, {name: handpose, loaded: false}, {name: handskeleton, loaded: true}, {name: handtrack, loaded: true}, {name: liveness, loaded: false}, {name: movenet, loaded: true}, {name: nanodet, loaded: false}, {name: posenet, loaded: false}, {name: segmentation, loaded: false}, {name: antispoof, loaded: false}]
|
||||
11:06:11.078 +06001ms summary {persons: 1, face: 1, body: 1, hand: 1, object: 0, gesture: 8}
|
||||
11:06:11.191 +00113ms finished sync/humangl {init: 5726, detect: 535}
|
||||
11:06:11.307 +00116ms test none/humangl {backend: humangl, modelBasePath: ../models/, cacheModels: true, validateModels: true, wasmPath: https: //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.20.0/dist/, wasmPlatformFetch: false, debug: true, async: true, warmup: full, cacheSensitivity: 0.7, skipAllowed: false, deallocate: false, softwareKernels: false, filter: {enabled: true, equalization: false, width: 0, height: 0, flip: false, return: true, brightness: 0, contrast: 0, sharpness: 0, blur: 0, saturation: 0, hue: 0, negative: false, sepia: false, vintage: false, kodachrome: false, technicolor: false, polaroid: false, pixelate: 0}, gesture: {enabled: false}, face: {enabled: false, detector: {modelPath: blazeface.json, rotation: true, maxDetected: 1, skipFrames: 99, skipTime: 2500, minConfidence: 0.2, iouThreshold: 0.1, mask: false, return: false}, mesh: {enabled: true, modelPath: facemesh.json, keepInvalid: false}, attention: {enabled: false, modelPath: facemesh-attention.json}, iris: {enabled: true, modelPath: iris.json}, emotion: {enabled: true, minConfidence: 0.1, skipFrames: 99, skipTime: 1500, modelPath: emotion.json}, description: {enabled: true, modelPath: faceres.json, skipFrames: 99, skipTime: 3000, minConfidence: 0.1}, antispoof: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: antispoof.json}, liveness: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: liveness.json}}, body: {enabled: false, modelPath: movenet-lightning.json, maxDetected: -1, minConfidence: 0.3, skipFrames: 1, skipTime: 200}, hand: {enabled: false, rotation: true, skipFrames: 99, skipTime: 1000, minConfidence: 0.5, iouThreshold: 0.2, maxDetected: -1, landmarks: true, detector: {modelPath: handtrack.json}, skeleton: {modelPath: handlandmark-full.json}}, object: {enabled: false, modelPath: mb3-centernet.json, minConfidence: 0.2, iouThreshold: 0.4, maxDetected: 10, skipFrames: 99, skipTime: 2000}, segmentation: {enabled: false, modelPath: selfie.json, blur: 8}}
|
||||
11:06:11.455 +00148ms models [{name: ssrnetage, loaded: false}, {name: gear, loaded: false}, {name: blazeposedetect, loaded: false}, {name: blazepose, loaded: false}, {name: centernet, loaded: false}, {name: efficientpose, loaded: false}, {name: mobilefacenet, loaded: false}, {name: insightface, loaded: false}, {name: emotion, loaded: false}, {name: facedetect, loaded: false}, {name: faceiris, loaded: false}, {name: facemesh, loaded: false}, {name: faceres, loaded: false}, {name: ssrnetgender, loaded: false}, {name: handpose, loaded: false}, {name: handskeleton, loaded: false}, {name: handtrack, loaded: false}, {name: liveness, loaded: false}, {name: movenet, loaded: false}, {name: nanodet, loaded: false}, {name: posenet, loaded: false}, {name: segmentation, loaded: false}, {name: antispoof, loaded: false}]
|
||||
11:06:11.778 +00323ms summary {persons: 0, face: 0, body: 0, hand: 0, object: 0, gesture: 0}
|
||||
11:06:11.930 +00152ms finished none/humangl {init: 471, detect: 0}
|
||||
11:06:12.080 +00150ms test object/humangl {backend: humangl, modelBasePath: ../models/, cacheModels: true, validateModels: true, wasmPath: https: //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.20.0/dist/, wasmPlatformFetch: false, debug: true, async: true, warmup: full, cacheSensitivity: 0.7, skipAllowed: false, deallocate: false, softwareKernels: false, filter: {enabled: true, equalization: false, width: 0, height: 0, flip: false, return: true, brightness: 0, contrast: 0, sharpness: 0, blur: 0, saturation: 0, hue: 0, negative: false, sepia: false, vintage: false, kodachrome: false, technicolor: false, polaroid: false, pixelate: 0}, gesture: {enabled: false}, face: {enabled: false, detector: {modelPath: blazeface.json, rotation: true, maxDetected: 1, skipFrames: 99, skipTime: 2500, minConfidence: 0.2, iouThreshold: 0.1, mask: false, return: false}, mesh: {enabled: true, modelPath: facemesh.json, keepInvalid: false}, attention: {enabled: false, modelPath: facemesh-attention.json}, iris: {enabled: true, modelPath: iris.json}, emotion: {enabled: true, minConfidence: 0.1, skipFrames: 99, skipTime: 1500, modelPath: emotion.json}, description: {enabled: true, modelPath: faceres.json, skipFrames: 99, skipTime: 3000, minConfidence: 0.1}, antispoof: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: antispoof.json}, liveness: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: liveness.json}}, body: {enabled: false, modelPath: movenet-lightning.json, maxDetected: -1, minConfidence: 0.3, skipFrames: 1, skipTime: 200}, hand: {enabled: false, rotation: true, skipFrames: 99, skipTime: 1000, minConfidence: 0.5, iouThreshold: 0.2, maxDetected: -1, landmarks: true, detector: {modelPath: handtrack.json}, skeleton: {modelPath: handlandmark-full.json}}, object: {enabled: true, modelPath: mb3-centernet.json, minConfidence: 0.2, iouThreshold: 0.4, maxDetected: 10, skipFrames: 99, skipTime: 2000}, segmentation: {enabled: false, modelPath: selfie.json, blur: 8}}
|
||||
11:06:12.331 +00251ms models [{name: ssrnetage, loaded: false}, {name: gear, loaded: false}, {name: blazeposedetect, loaded: false}, {name: blazepose, loaded: false}, {name: centernet, loaded: true}, {name: efficientpose, loaded: false}, {name: mobilefacenet, loaded: false}, {name: insightface, loaded: false}, {name: emotion, loaded: false}, {name: facedetect, loaded: false}, {name: faceiris, loaded: false}, {name: facemesh, loaded: false}, {name: faceres, loaded: false}, {name: ssrnetgender, loaded: false}, {name: handpose, loaded: false}, {name: handskeleton, loaded: false}, {name: handtrack, loaded: false}, {name: liveness, loaded: false}, {name: movenet, loaded: false}, {name: nanodet, loaded: false}, {name: posenet, loaded: false}, {name: segmentation, loaded: false}, {name: antispoof, loaded: false}]
|
||||
11:06:16.046 +03715ms summary {persons: 0, face: 0, body: 0, hand: 0, object: 0, gesture: 0}
|
||||
11:06:16.234 +00188ms finished object/humangl {init: 3688, detect: 278}
|
||||
11:06:16.444 +00210ms test default/webgl {backend: webgl, modelBasePath: ../models/, cacheModels: true, validateModels: true, wasmPath: https: //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.20.0/dist/, wasmPlatformFetch: false, debug: true, async: true, warmup: full, cacheSensitivity: 0.7, skipAllowed: false, deallocate: false, softwareKernels: false, filter: {enabled: true, equalization: false, width: 0, height: 0, flip: false, return: true, brightness: 0, contrast: 0, sharpness: 0, blur: 0, saturation: 0, hue: 0, negative: false, sepia: false, vintage: false, kodachrome: false, technicolor: false, polaroid: false, pixelate: 0}, gesture: {enabled: true}, face: {enabled: true, detector: {modelPath: blazeface.json, rotation: true, maxDetected: 1, skipFrames: 99, skipTime: 2500, minConfidence: 0.2, iouThreshold: 0.1, mask: false, return: false}, mesh: {enabled: true, modelPath: facemesh.json, keepInvalid: false}, attention: {enabled: false, modelPath: facemesh-attention.json}, iris: {enabled: true, modelPath: iris.json}, emotion: {enabled: true, minConfidence: 0.1, skipFrames: 99, skipTime: 1500, modelPath: emotion.json}, description: {enabled: true, modelPath: faceres.json, skipFrames: 99, skipTime: 3000, minConfidence: 0.1}, antispoof: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: antispoof.json}, liveness: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: liveness.json}}, body: {enabled: true, modelPath: movenet-lightning.json, maxDetected: -1, minConfidence: 0.3, skipFrames: 1, skipTime: 200}, hand: {enabled: true, rotation: true, skipFrames: 99, skipTime: 1000, minConfidence: 0.5, iouThreshold: 0.2, maxDetected: -1, landmarks: true, detector: {modelPath: handtrack.json}, skeleton: {modelPath: handlandmark-full.json}}, object: {enabled: false, modelPath: mb3-centernet.json, minConfidence: 0.2, iouThreshold: 0.4, maxDetected: 10, skipFrames: 99, skipTime: 2000}, segmentation: {enabled: false, modelPath: selfie.json, blur: 8}}
|
||||
11:06:16.808 +00364ms models [{name: ssrnetage, loaded: false}, {name: gear, loaded: false}, {name: blazeposedetect, loaded: false}, {name: blazepose, loaded: false}, {name: centernet, loaded: false}, {name: efficientpose, loaded: false}, {name: mobilefacenet, loaded: false}, {name: insightface, loaded: false}, {name: emotion, loaded: true}, {name: facedetect, loaded: true}, {name: faceiris, loaded: true}, {name: facemesh, loaded: true}, {name: faceres, loaded: true}, {name: ssrnetgender, loaded: false}, {name: handpose, loaded: false}, {name: handskeleton, loaded: true}, {name: handtrack, loaded: true}, {name: liveness, loaded: false}, {name: movenet, loaded: true}, {name: nanodet, loaded: false}, {name: posenet, loaded: false}, {name: segmentation, loaded: false}, {name: antispoof, loaded: false}]
|
||||
11:06:26.563 +09755ms summary {persons: 1, face: 1, body: 1, hand: 1, object: 0, gesture: 8}
|
||||
11:06:26.799 +00236ms finished default/webgl {init: 9005, detect: 1113}
|
||||
11:06:27.045 +00246ms test sync/webgl {backend: webgl, modelBasePath: ../models/, cacheModels: true, validateModels: true, wasmPath: https: //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.20.0/dist/, wasmPlatformFetch: false, debug: true, async: false, warmup: full, cacheSensitivity: 0.7, skipAllowed: false, deallocate: false, softwareKernels: false, filter: {enabled: true, equalization: false, width: 0, height: 0, flip: false, return: true, brightness: 0, contrast: 0, sharpness: 0, blur: 0, saturation: 0, hue: 0, negative: false, sepia: false, vintage: false, kodachrome: false, technicolor: false, polaroid: false, pixelate: 0}, gesture: {enabled: true}, face: {enabled: true, detector: {modelPath: blazeface.json, rotation: true, maxDetected: 1, skipFrames: 99, skipTime: 2500, minConfidence: 0.2, iouThreshold: 0.1, mask: false, return: false}, mesh: {enabled: true, modelPath: facemesh.json, keepInvalid: false}, attention: {enabled: false, modelPath: facemesh-attention.json}, iris: {enabled: true, modelPath: iris.json}, emotion: {enabled: true, minConfidence: 0.1, skipFrames: 99, skipTime: 1500, modelPath: emotion.json}, description: {enabled: true, modelPath: faceres.json, skipFrames: 99, skipTime: 3000, minConfidence: 0.1}, antispoof: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: antispoof.json}, liveness: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: liveness.json}}, body: {enabled: true, modelPath: movenet-lightning.json, maxDetected: -1, minConfidence: 0.3, skipFrames: 1, skipTime: 200}, hand: {enabled: true, rotation: true, skipFrames: 99, skipTime: 1000, minConfidence: 0.5, iouThreshold: 0.2, maxDetected: -1, landmarks: true, detector: {modelPath: handtrack.json}, skeleton: {modelPath: handlandmark-full.json}}, object: {enabled: false, modelPath: mb3-centernet.json, minConfidence: 0.2, iouThreshold: 0.4, maxDetected: 10, skipFrames: 99, skipTime: 2000}, segmentation: {enabled: false, modelPath: selfie.json, blur: 8}}
|
||||
11:06:27.519 +00474ms models [{name: ssrnetage, loaded: false}, {name: gear, loaded: false}, {name: blazeposedetect, loaded: false}, {name: blazepose, loaded: false}, {name: centernet, loaded: false}, {name: efficientpose, loaded: false}, {name: mobilefacenet, loaded: false}, {name: insightface, loaded: false}, {name: emotion, loaded: true}, {name: facedetect, loaded: true}, {name: faceiris, loaded: true}, {name: facemesh, loaded: true}, {name: faceres, loaded: true}, {name: ssrnetgender, loaded: false}, {name: handpose, loaded: false}, {name: handskeleton, loaded: true}, {name: handtrack, loaded: true}, {name: liveness, loaded: false}, {name: movenet, loaded: true}, {name: nanodet, loaded: false}, {name: posenet, loaded: false}, {name: segmentation, loaded: false}, {name: antispoof, loaded: false}]
|
||||
11:06:34.213 +06694ms summary {persons: 1, face: 1, body: 1, hand: 1, object: 0, gesture: 8}
|
||||
11:06:34.509 +00296ms finished sync/webgl {init: 6219, detect: 949}
|
||||
11:06:34.813 +00304ms test none/webgl {backend: webgl, modelBasePath: ../models/, cacheModels: true, validateModels: true, wasmPath: https: //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.20.0/dist/, wasmPlatformFetch: false, debug: true, async: true, warmup: full, cacheSensitivity: 0.7, skipAllowed: false, deallocate: false, softwareKernels: false, filter: {enabled: true, equalization: false, width: 0, height: 0, flip: false, return: true, brightness: 0, contrast: 0, sharpness: 0, blur: 0, saturation: 0, hue: 0, negative: false, sepia: false, vintage: false, kodachrome: false, technicolor: false, polaroid: false, pixelate: 0}, gesture: {enabled: false}, face: {enabled: false, detector: {modelPath: blazeface.json, rotation: true, maxDetected: 1, skipFrames: 99, skipTime: 2500, minConfidence: 0.2, iouThreshold: 0.1, mask: false, return: false}, mesh: {enabled: true, modelPath: facemesh.json, keepInvalid: false}, attention: {enabled: false, modelPath: facemesh-attention.json}, iris: {enabled: true, modelPath: iris.json}, emotion: {enabled: true, minConfidence: 0.1, skipFrames: 99, skipTime: 1500, modelPath: emotion.json}, description: {enabled: true, modelPath: faceres.json, skipFrames: 99, skipTime: 3000, minConfidence: 0.1}, antispoof: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: antispoof.json}, liveness: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: liveness.json}}, body: {enabled: false, modelPath: movenet-lightning.json, maxDetected: -1, minConfidence: 0.3, skipFrames: 1, skipTime: 200}, hand: {enabled: false, rotation: true, skipFrames: 99, skipTime: 1000, minConfidence: 0.5, iouThreshold: 0.2, maxDetected: -1, landmarks: true, detector: {modelPath: handtrack.json}, skeleton: {modelPath: handlandmark-full.json}}, object: {enabled: false, modelPath: mb3-centernet.json, minConfidence: 0.2, iouThreshold: 0.4, maxDetected: 10, skipFrames: 99, skipTime: 2000}, segmentation: {enabled: false, modelPath: selfie.json, blur: 8}}
|
||||
11:06:35.159 +00346ms models [{name: ssrnetage, loaded: false}, {name: gear, loaded: false}, {name: blazeposedetect, loaded: false}, {name: blazepose, loaded: false}, {name: centernet, loaded: false}, {name: efficientpose, loaded: false}, {name: mobilefacenet, loaded: false}, {name: insightface, loaded: false}, {name: emotion, loaded: false}, {name: facedetect, loaded: false}, {name: faceiris, loaded: false}, {name: facemesh, loaded: false}, {name: faceres, loaded: false}, {name: ssrnetgender, loaded: false}, {name: handpose, loaded: false}, {name: handskeleton, loaded: false}, {name: handtrack, loaded: false}, {name: liveness, loaded: false}, {name: movenet, loaded: false}, {name: nanodet, loaded: false}, {name: posenet, loaded: false}, {name: segmentation, loaded: false}, {name: antispoof, loaded: false}]
|
||||
11:06:35.728 +00569ms summary {persons: 0, face: 0, body: 0, hand: 0, object: 0, gesture: 0}
|
||||
11:06:36.087 +00359ms finished none/webgl {init: 915, detect: 0}
|
||||
11:06:36.444 +00357ms test object/webgl {backend: webgl, modelBasePath: ../models/, cacheModels: true, validateModels: true, wasmPath: https: //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.20.0/dist/, wasmPlatformFetch: false, debug: true, async: true, warmup: full, cacheSensitivity: 0.7, skipAllowed: false, deallocate: false, softwareKernels: false, filter: {enabled: true, equalization: false, width: 0, height: 0, flip: false, return: true, brightness: 0, contrast: 0, sharpness: 0, blur: 0, saturation: 0, hue: 0, negative: false, sepia: false, vintage: false, kodachrome: false, technicolor: false, polaroid: false, pixelate: 0}, gesture: {enabled: false}, face: {enabled: false, detector: {modelPath: blazeface.json, rotation: true, maxDetected: 1, skipFrames: 99, skipTime: 2500, minConfidence: 0.2, iouThreshold: 0.1, mask: false, return: false}, mesh: {enabled: true, modelPath: facemesh.json, keepInvalid: false}, attention: {enabled: false, modelPath: facemesh-attention.json}, iris: {enabled: true, modelPath: iris.json}, emotion: {enabled: true, minConfidence: 0.1, skipFrames: 99, skipTime: 1500, modelPath: emotion.json}, description: {enabled: true, modelPath: faceres.json, skipFrames: 99, skipTime: 3000, minConfidence: 0.1}, antispoof: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: antispoof.json}, liveness: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: liveness.json}}, body: {enabled: false, modelPath: movenet-lightning.json, maxDetected: -1, minConfidence: 0.3, skipFrames: 1, skipTime: 200}, hand: {enabled: false, rotation: true, skipFrames: 99, skipTime: 1000, minConfidence: 0.5, iouThreshold: 0.2, maxDetected: -1, landmarks: true, detector: {modelPath: handtrack.json}, skeleton: {modelPath: handlandmark-full.json}}, object: {enabled: true, modelPath: mb3-centernet.json, minConfidence: 0.2, iouThreshold: 0.4, maxDetected: 10, skipFrames: 99, skipTime: 2000}, segmentation: {enabled: false, modelPath: selfie.json, blur: 8}}
|
||||
11:06:36.923 +00479ms models [{name: ssrnetage, loaded: false}, {name: gear, loaded: false}, {name: blazeposedetect, loaded: false}, {name: blazepose, loaded: false}, {name: centernet, loaded: true}, {name: efficientpose, loaded: false}, {name: mobilefacenet, loaded: false}, {name: insightface, loaded: false}, {name: emotion, loaded: false}, {name: facedetect, loaded: false}, {name: faceiris, loaded: false}, {name: facemesh, loaded: false}, {name: faceres, loaded: false}, {name: ssrnetgender, loaded: false}, {name: handpose, loaded: false}, {name: handskeleton, loaded: false}, {name: handtrack, loaded: false}, {name: liveness, loaded: false}, {name: movenet, loaded: false}, {name: nanodet, loaded: false}, {name: posenet, loaded: false}, {name: segmentation, loaded: false}, {name: antispoof, loaded: false}]
|
||||
11:06:41.462 +04539ms summary {persons: 0, face: 0, body: 0, hand: 0, object: 0, gesture: 0}
|
||||
11:06:41.876 +00414ms finished object/webgl {init: 4709, detect: 309}
|
||||
11:06:42.434 +00558ms test default/webgpu {backend: webgpu, modelBasePath: ../models/, cacheModels: true, validateModels: true, wasmPath: https: //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.20.0/dist/, wasmPlatformFetch: false, debug: true, async: true, warmup: full, cacheSensitivity: 0.7, skipAllowed: false, deallocate: false, softwareKernels: false, filter: {enabled: true, equalization: false, width: 0, height: 0, flip: false, return: true, brightness: 0, contrast: 0, sharpness: 0, blur: 0, saturation: 0, hue: 0, negative: false, sepia: false, vintage: false, kodachrome: false, technicolor: false, polaroid: false, pixelate: 0}, gesture: {enabled: true}, face: {enabled: true, detector: {modelPath: blazeface.json, rotation: true, maxDetected: 1, skipFrames: 99, skipTime: 2500, minConfidence: 0.2, iouThreshold: 0.1, mask: false, return: false}, mesh: {enabled: true, modelPath: facemesh.json, keepInvalid: false}, attention: {enabled: false, modelPath: facemesh-attention.json}, iris: {enabled: true, modelPath: iris.json}, emotion: {enabled: true, minConfidence: 0.1, skipFrames: 99, skipTime: 1500, modelPath: emotion.json}, description: {enabled: true, modelPath: faceres.json, skipFrames: 99, skipTime: 3000, minConfidence: 0.1}, antispoof: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: antispoof.json}, liveness: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: liveness.json}}, body: {enabled: true, modelPath: movenet-lightning.json, maxDetected: -1, minConfidence: 0.3, skipFrames: 1, skipTime: 200}, hand: {enabled: true, rotation: true, skipFrames: 99, skipTime: 1000, minConfidence: 0.5, iouThreshold: 0.2, maxDetected: -1, landmarks: true, detector: {modelPath: handtrack.json}, skeleton: {modelPath: handlandmark-full.json}}, object: {enabled: false, modelPath: mb3-centernet.json, minConfidence: 0.2, iouThreshold: 0.4, maxDetected: 10, skipFrames: 99, skipTime: 2000}, segmentation: {enabled: false, modelPath: selfie.json, blur: 8}}
|
||||
11:06:43.065 +00631ms models [{name: ssrnetage, loaded: false}, {name: gear, loaded: false}, {name: blazeposedetect, loaded: false}, {name: blazepose, loaded: false}, {name: centernet, loaded: false}, {name: efficientpose, loaded: false}, {name: mobilefacenet, loaded: false}, {name: insightface, loaded: false}, {name: emotion, loaded: true}, {name: facedetect, loaded: true}, {name: faceiris, loaded: true}, {name: facemesh, loaded: true}, {name: faceres, loaded: true}, {name: ssrnetgender, loaded: false}, {name: handpose, loaded: false}, {name: handskeleton, loaded: true}, {name: handtrack, loaded: true}, {name: liveness, loaded: false}, {name: movenet, loaded: true}, {name: nanodet, loaded: false}, {name: posenet, loaded: false}, {name: segmentation, loaded: false}, {name: antispoof, loaded: false}]
|
||||
11:07:00.511 +17446ms summary {persons: 1, face: 1, body: 1, hand: 1, object: 0, gesture: 8}
|
||||
11:07:00.994 +00483ms finished default/webgpu {init: 16548, detect: 1527}
|
||||
11:07:01.482 +00488ms test sync/webgpu {backend: webgpu, modelBasePath: ../models/, cacheModels: true, validateModels: true, wasmPath: https: //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.20.0/dist/, wasmPlatformFetch: false, debug: true, async: false, warmup: full, cacheSensitivity: 0.7, skipAllowed: false, deallocate: false, softwareKernels: false, filter: {enabled: true, equalization: false, width: 0, height: 0, flip: false, return: true, brightness: 0, contrast: 0, sharpness: 0, blur: 0, saturation: 0, hue: 0, negative: false, sepia: false, vintage: false, kodachrome: false, technicolor: false, polaroid: false, pixelate: 0}, gesture: {enabled: true}, face: {enabled: true, detector: {modelPath: blazeface.json, rotation: true, maxDetected: 1, skipFrames: 99, skipTime: 2500, minConfidence: 0.2, iouThreshold: 0.1, mask: false, return: false}, mesh: {enabled: true, modelPath: facemesh.json, keepInvalid: false}, attention: {enabled: false, modelPath: facemesh-attention.json}, iris: {enabled: true, modelPath: iris.json}, emotion: {enabled: true, minConfidence: 0.1, skipFrames: 99, skipTime: 1500, modelPath: emotion.json}, description: {enabled: true, modelPath: faceres.json, skipFrames: 99, skipTime: 3000, minConfidence: 0.1}, antispoof: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: antispoof.json}, liveness: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: liveness.json}}, body: {enabled: true, modelPath: movenet-lightning.json, maxDetected: -1, minConfidence: 0.3, skipFrames: 1, skipTime: 200}, hand: {enabled: true, rotation: true, skipFrames: 99, skipTime: 1000, minConfidence: 0.5, iouThreshold: 0.2, maxDetected: -1, landmarks: true, detector: {modelPath: handtrack.json}, skeleton: {modelPath: handlandmark-full.json}}, object: {enabled: false, modelPath: mb3-centernet.json, minConfidence: 0.2, iouThreshold: 0.4, maxDetected: 10, skipFrames: 99, skipTime: 2000}, segmentation: {enabled: false, modelPath: selfie.json, blur: 8}}
|
||||
11:07:02.226 +00744ms models [{name: ssrnetage, loaded: false}, {name: gear, loaded: false}, {name: blazeposedetect, loaded: false}, {name: blazepose, loaded: false}, {name: centernet, loaded: false}, {name: efficientpose, loaded: false}, {name: mobilefacenet, loaded: false}, {name: insightface, loaded: false}, {name: emotion, loaded: true}, {name: facedetect, loaded: true}, {name: faceiris, loaded: true}, {name: facemesh, loaded: true}, {name: faceres, loaded: true}, {name: ssrnetgender, loaded: false}, {name: handpose, loaded: false}, {name: handskeleton, loaded: true}, {name: handtrack, loaded: true}, {name: liveness, loaded: false}, {name: movenet, loaded: true}, {name: nanodet, loaded: false}, {name: posenet, loaded: false}, {name: segmentation, loaded: false}, {name: antispoof, loaded: false}]
|
||||
11:07:03.296 +01070ms summary {persons: 1, face: 1, body: 1, hand: 1, object: 0, gesture: 8}
|
||||
11:07:03.853 +00557ms finished sync/webgpu {init: 1630, detect: 183}
|
||||
11:07:04.410 +00557ms test none/webgpu {backend: webgpu, modelBasePath: ../models/, cacheModels: true, validateModels: true, wasmPath: https: //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.20.0/dist/, wasmPlatformFetch: false, debug: true, async: true, warmup: full, cacheSensitivity: 0.7, skipAllowed: false, deallocate: false, softwareKernels: false, filter: {enabled: true, equalization: false, width: 0, height: 0, flip: false, return: true, brightness: 0, contrast: 0, sharpness: 0, blur: 0, saturation: 0, hue: 0, negative: false, sepia: false, vintage: false, kodachrome: false, technicolor: false, polaroid: false, pixelate: 0}, gesture: {enabled: false}, face: {enabled: false, detector: {modelPath: blazeface.json, rotation: true, maxDetected: 1, skipFrames: 99, skipTime: 2500, minConfidence: 0.2, iouThreshold: 0.1, mask: false, return: false}, mesh: {enabled: true, modelPath: facemesh.json, keepInvalid: false}, attention: {enabled: false, modelPath: facemesh-attention.json}, iris: {enabled: true, modelPath: iris.json}, emotion: {enabled: true, minConfidence: 0.1, skipFrames: 99, skipTime: 1500, modelPath: emotion.json}, description: {enabled: true, modelPath: faceres.json, skipFrames: 99, skipTime: 3000, minConfidence: 0.1}, antispoof: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: antispoof.json}, liveness: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: liveness.json}}, body: {enabled: false, modelPath: movenet-lightning.json, maxDetected: -1, minConfidence: 0.3, skipFrames: 1, skipTime: 200}, hand: {enabled: false, rotation: true, skipFrames: 99, skipTime: 1000, minConfidence: 0.5, iouThreshold: 0.2, maxDetected: -1, landmarks: true, detector: {modelPath: handtrack.json}, skeleton: {modelPath: handlandmark-full.json}}, object: {enabled: false, modelPath: mb3-centernet.json, minConfidence: 0.2, iouThreshold: 0.4, maxDetected: 10, skipFrames: 99, skipTime: 2000}, segmentation: {enabled: false, modelPath: selfie.json, blur: 8}}
|
||||
11:07:05.103 +00693ms models [{name: ssrnetage, loaded: false}, {name: gear, loaded: false}, {name: blazeposedetect, loaded: false}, {name: blazepose, loaded: false}, {name: centernet, loaded: false}, {name: efficientpose, loaded: false}, {name: mobilefacenet, loaded: false}, {name: insightface, loaded: false}, {name: emotion, loaded: false}, {name: facedetect, loaded: false}, {name: faceiris, loaded: false}, {name: facemesh, loaded: false}, {name: faceres, loaded: false}, {name: ssrnetgender, loaded: false}, {name: handpose, loaded: false}, {name: handskeleton, loaded: false}, {name: handtrack, loaded: false}, {name: liveness, loaded: false}, {name: movenet, loaded: false}, {name: nanodet, loaded: false}, {name: posenet, loaded: false}, {name: segmentation, loaded: false}, {name: antispoof, loaded: false}]
|
||||
11:07:05.870 +00767ms summary {persons: 0, face: 0, body: 0, hand: 0, object: 0, gesture: 0}
|
||||
11:07:06.518 +00648ms finished none/webgpu {init: 1460, detect: 0}
|
||||
11:07:07.142 +00624ms test object/webgpu {backend: webgpu, modelBasePath: ../models/, cacheModels: true, validateModels: true, wasmPath: https: //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.20.0/dist/, wasmPlatformFetch: false, debug: true, async: true, warmup: full, cacheSensitivity: 0.7, skipAllowed: false, deallocate: false, softwareKernels: false, filter: {enabled: true, equalization: false, width: 0, height: 0, flip: false, return: true, brightness: 0, contrast: 0, sharpness: 0, blur: 0, saturation: 0, hue: 0, negative: false, sepia: false, vintage: false, kodachrome: false, technicolor: false, polaroid: false, pixelate: 0}, gesture: {enabled: false}, face: {enabled: false, detector: {modelPath: blazeface.json, rotation: true, maxDetected: 1, skipFrames: 99, skipTime: 2500, minConfidence: 0.2, iouThreshold: 0.1, mask: false, return: false}, mesh: {enabled: true, modelPath: facemesh.json, keepInvalid: false}, attention: {enabled: false, modelPath: facemesh-attention.json}, iris: {enabled: true, modelPath: iris.json}, emotion: {enabled: true, minConfidence: 0.1, skipFrames: 99, skipTime: 1500, modelPath: emotion.json}, description: {enabled: true, modelPath: faceres.json, skipFrames: 99, skipTime: 3000, minConfidence: 0.1}, antispoof: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: antispoof.json}, liveness: {enabled: false, skipFrames: 99, skipTime: 4000, modelPath: liveness.json}}, body: {enabled: false, modelPath: movenet-lightning.json, maxDetected: -1, minConfidence: 0.3, skipFrames: 1, skipTime: 200}, hand: {enabled: false, rotation: true, skipFrames: 99, skipTime: 1000, minConfidence: 0.5, iouThreshold: 0.2, maxDetected: -1, landmarks: true, detector: {modelPath: handtrack.json}, skeleton: {modelPath: handlandmark-full.json}}, object: {enabled: true, modelPath: mb3-centernet.json, minConfidence: 0.2, iouThreshold: 0.4, maxDetected: 10, skipFrames: 99, skipTime: 2000}, segmentation: {enabled: false, modelPath: selfie.json, blur: 8}}
|
||||
11:07:07.899 +00757ms models [{name: ssrnetage, loaded: false}, {name: gear, loaded: false}, {name: blazeposedetect, loaded: false}, {name: blazepose, loaded: false}, {name: centernet, loaded: true}, {name: efficientpose, loaded: false}, {name: mobilefacenet, loaded: false}, {name: insightface, loaded: false}, {name: emotion, loaded: false}, {name: facedetect, loaded: false}, {name: faceiris, loaded: false}, {name: facemesh, loaded: false}, {name: faceres, loaded: false}, {name: ssrnetgender, loaded: false}, {name: handpose, loaded: false}, {name: handskeleton, loaded: false}, {name: handtrack, loaded: false}, {name: liveness, loaded: false}, {name: movenet, loaded: false}, {name: nanodet, loaded: false}, {name: posenet, loaded: false}, {name: segmentation, loaded: false}, {name: antispoof, loaded: false}]
|
||||
11:07:11.492 +03593ms summary {persons: 0, face: 0, body: 0, hand: 0, object: 1, gesture: 0}
|
||||
11:07:12.218 +00726ms finished object/webgpu {init: 4218, detect: 132}
|
||||
11:07:12.949 +00731ms tests complete
|
||||
11:07:13.682 +00733ms benchmark backend: wasm
|
||||
11:07:16.242 +02560ms benchmark {time: 119, backend: wasm, cacheSensitivity: 0, performance: {inputProcess: 2, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 100}}
|
||||
11:07:18.127 +01885ms benchmark {time: 115, backend: wasm, cacheSensitivity: 0.25, performance: {inputProcess: 2, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 100}}
|
||||
11:07:20.003 +01876ms benchmark {time: 114, backend: wasm, cacheSensitivity: 0.5, performance: {inputProcess: 3, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 100}}
|
||||
11:07:21.895 +01892ms benchmark {time: 115, backend: wasm, cacheSensitivity: 0.75, performance: {inputProcess: 2, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 97}}
|
||||
11:07:23.068 +01173ms benchmark {time: 42, backend: wasm, cacheSensitivity: 10, performance: {inputProcess: 2, totalFrames: 10, cachedFrames: 8, cacheCheck: 0, total: 100}}
|
||||
11:07:23.812 +00744ms total wasm {detect: 8759, init: 614}
|
||||
11:07:24.570 +00758ms benchmark backend: humangl
|
||||
11:07:50.315 +25745ms benchmark {time: 1906, backend: humangl, cacheSensitivity: 0, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 1665}}
|
||||
11:07:59.982 +09667ms benchmark {time: 890, backend: humangl, cacheSensitivity: 0.25, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 2, cacheCheck: 69, total: 2119}}
|
||||
11:08:12.715 +12733ms benchmark {time: 1195, backend: humangl, cacheSensitivity: 0.5, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 4, cacheCheck: 65, total: 815}}
|
||||
11:08:27.016 +14301ms benchmark {time: 1352, backend: humangl, cacheSensitivity: 0.75, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 7, cacheCheck: 81, total: 783}}
|
||||
11:08:37.017 +10001ms benchmark {time: 921, backend: humangl, cacheSensitivity: 10, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 10, cacheCheck: 97, total: 902}}
|
||||
11:08:37.810 +00793ms total humangl {detect: 66559, init: 5882}
|
||||
11:08:38.601 +00791ms benchmark backend: webgl
|
||||
11:09:01.515 +22914ms benchmark {time: 1620, backend: webgl, cacheSensitivity: 0, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 1481}}
|
||||
11:09:16.930 +15415ms benchmark {time: 1461, backend: webgl, cacheSensitivity: 0.25, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 2, cacheCheck: 82, total: 1662}}
|
||||
11:09:18.567 +01637ms benchmark {time: 84, backend: webgl, cacheSensitivity: 0.5, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 4, cacheCheck: 4, total: 61}}
|
||||
11:09:20.005 +01438ms benchmark {time: 64, backend: webgl, cacheSensitivity: 0.75, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 7, cacheCheck: 5, total: 44}}
|
||||
11:09:21.384 +01379ms benchmark {time: 56, backend: webgl, cacheSensitivity: 10, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 10, cacheCheck: 5, total: 41}}
|
||||
11:09:22.195 +00811ms total webgl {detect: 36875, init: 5913}
|
||||
11:09:23.018 +00823ms benchmark backend: webgpu
|
||||
11:09:25.482 +02464ms benchmark {time: 115, backend: webgpu, cacheSensitivity: 0, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 36}}
|
||||
11:09:26.861 +01379ms benchmark {time: 55, backend: webgpu, cacheSensitivity: 0.25, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 3, total: 36}}
|
||||
11:09:28.201 +01340ms benchmark {time: 51, backend: webgpu, cacheSensitivity: 0.5, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 4, total: 40}}
|
||||
11:09:29.563 +01362ms benchmark {time: 53, backend: webgpu, cacheSensitivity: 0.75, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 3, total: 38}}
|
||||
11:09:30.759 +01196ms benchmark {time: 34, backend: webgpu, cacheSensitivity: 10, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 8, cacheCheck: 3, total: 39}}
|
||||
11:09:31.597 +00838ms total webgpu {detect: 7264, init: 462}
|
||||
11:09:32.439 +00842ms benchmarks complete
|
||||
|
|
|
|||
|
|
@ -1,39 +1,39 @@
|
|||
2022-08-30 10:28:42 [32mDATA: [39m Build {"name":"@vladmandic/human","version":"2.9.4"}
|
||||
2022-08-30 10:28:42 [36mINFO: [39m Application: {"name":"@vladmandic/human","version":"2.9.4"}
|
||||
2022-08-30 10:28:42 [36mINFO: [39m Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true}
|
||||
2022-08-30 10:28:42 [36mINFO: [39m Toolchain: {"build":"0.7.11","esbuild":"0.15.6","typescript":"4.8.2","typedoc":"0.23.11","eslint":"8.23.0"}
|
||||
2022-08-30 10:28:42 [36mINFO: [39m Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]}
|
||||
2022-08-30 10:28:42 [35mSTATE:[39m Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]}
|
||||
2022-08-30 10:28:42 [35mSTATE:[39m Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":159,"outputBytes":608}
|
||||
2022-08-30 10:28:42 [35mSTATE:[39m Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":75,"inputBytes":655263,"outputBytes":308144}
|
||||
2022-08-30 10:28:42 [35mSTATE:[39m Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":167,"outputBytes":612}
|
||||
2022-08-30 10:28:42 [35mSTATE:[39m Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":75,"inputBytes":655267,"outputBytes":308148}
|
||||
2022-08-30 10:28:42 [35mSTATE:[39m Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":206,"outputBytes":664}
|
||||
2022-08-30 10:28:42 [35mSTATE:[39m Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":75,"inputBytes":655319,"outputBytes":308198}
|
||||
2022-08-30 10:28:42 [35mSTATE:[39m Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1125,"outputBytes":358}
|
||||
2022-08-30 10:28:42 [35mSTATE:[39m Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1088,"outputBytes":583}
|
||||
2022-08-30 10:28:42 [35mSTATE:[39m Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":75,"inputBytes":655238,"outputBytes":307019}
|
||||
2022-08-30 10:28:42 [35mSTATE:[39m Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":11,"inputBytes":1344,"outputBytes":2879073}
|
||||
2022-08-30 10:28:42 [35mSTATE:[39m Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":75,"inputBytes":3533728,"outputBytes":1707671}
|
||||
2022-08-30 10:28:42 [35mSTATE:[39m Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":75,"inputBytes":3533728,"outputBytes":3156709}
|
||||
2022-08-30 10:28:47 [35mSTATE:[39m Typings: {"input":"src/human.ts","output":"types/lib","files":30}
|
||||
2022-08-30 10:28:49 [35mSTATE:[39m TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":77,"generated":true}
|
||||
2022-08-30 10:28:49 [35mSTATE:[39m Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6714,"outputBytes":3134}
|
||||
2022-08-30 10:28:49 [35mSTATE:[39m Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15488,"outputBytes":7788}
|
||||
2022-08-30 10:28:59 [35mSTATE:[39m Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":111,"errors":0,"warnings":0}
|
||||
2022-08-30 10:28:59 [35mSTATE:[39m ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
|
||||
2022-08-30 10:28:59 [35mSTATE:[39m Copy: {"input":"tfjs/tfjs.esm.d.ts"}
|
||||
2022-08-30 10:28:59 [36mINFO: [39m Done...
|
||||
2022-08-30 10:29:00 [35mSTATE:[39m API-Extractor: {"succeeeded":true,"errors":0,"warnings":198}
|
||||
2022-08-30 10:29:00 [35mSTATE:[39m Copy: {"input":"types/human.d.ts"}
|
||||
2022-08-30 10:29:00 [36mINFO: [39m Analyze models: {"folders":8,"result":"models/models.json"}
|
||||
2022-08-30 10:29:00 [35mSTATE:[39m Models {"folder":"./models","models":13}
|
||||
2022-08-30 10:29:00 [35mSTATE:[39m Models {"folder":"../human-models/models","models":42}
|
||||
2022-08-30 10:29:00 [35mSTATE:[39m Models {"folder":"../blazepose/model/","models":4}
|
||||
2022-08-30 10:29:00 [35mSTATE:[39m Models {"folder":"../anti-spoofing/model","models":1}
|
||||
2022-08-30 10:29:00 [35mSTATE:[39m Models {"folder":"../efficientpose/models","models":3}
|
||||
2022-08-30 10:29:00 [35mSTATE:[39m Models {"folder":"../insightface/models","models":5}
|
||||
2022-08-30 10:29:00 [35mSTATE:[39m Models {"folder":"../movenet/models","models":3}
|
||||
2022-08-30 10:29:00 [35mSTATE:[39m Models {"folder":"../nanodet/models","models":4}
|
||||
2022-08-30 10:29:01 [35mSTATE:[39m Models: {"count":57,"totalSize":383017442}
|
||||
2022-08-30 10:29:01 [36mINFO: [39m Human Build complete... {"logFile":"test/build.log"}
|
||||
2022-08-31 11:27:08 [32mDATA: [39m Build {"name":"@vladmandic/human","version":"2.9.4"}
|
||||
2022-08-31 11:27:08 [36mINFO: [39m Application: {"name":"@vladmandic/human","version":"2.9.4"}
|
||||
2022-08-31 11:27:08 [36mINFO: [39m Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true}
|
||||
2022-08-31 11:27:08 [36mINFO: [39m Toolchain: {"build":"0.7.11","esbuild":"0.15.6","typescript":"4.8.2","typedoc":"0.23.12","eslint":"8.23.0"}
|
||||
2022-08-31 11:27:08 [36mINFO: [39m Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]}
|
||||
2022-08-31 11:27:08 [35mSTATE:[39m Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]}
|
||||
2022-08-31 11:27:08 [35mSTATE:[39m Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":159,"outputBytes":608}
|
||||
2022-08-31 11:27:08 [35mSTATE:[39m Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":75,"inputBytes":655767,"outputBytes":308629}
|
||||
2022-08-31 11:27:08 [35mSTATE:[39m Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":167,"outputBytes":612}
|
||||
2022-08-31 11:27:08 [35mSTATE:[39m Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":75,"inputBytes":655771,"outputBytes":308633}
|
||||
2022-08-31 11:27:08 [35mSTATE:[39m Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":206,"outputBytes":664}
|
||||
2022-08-31 11:27:08 [35mSTATE:[39m Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":75,"inputBytes":655823,"outputBytes":308683}
|
||||
2022-08-31 11:27:08 [35mSTATE:[39m Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1125,"outputBytes":358}
|
||||
2022-08-31 11:27:08 [35mSTATE:[39m Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1088,"outputBytes":583}
|
||||
2022-08-31 11:27:09 [35mSTATE:[39m Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":75,"inputBytes":655742,"outputBytes":307503}
|
||||
2022-08-31 11:27:09 [35mSTATE:[39m Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":11,"inputBytes":1344,"outputBytes":2821914}
|
||||
2022-08-31 11:27:09 [35mSTATE:[39m Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":75,"inputBytes":3477073,"outputBytes":1687675}
|
||||
2022-08-31 11:27:09 [35mSTATE:[39m Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":75,"inputBytes":3477073,"outputBytes":3108312}
|
||||
2022-08-31 11:27:13 [35mSTATE:[39m Typings: {"input":"src/human.ts","output":"types/lib","files":30}
|
||||
2022-08-31 11:27:15 [35mSTATE:[39m TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":77,"generated":true}
|
||||
2022-08-31 11:27:15 [35mSTATE:[39m Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6714,"outputBytes":3134}
|
||||
2022-08-31 11:27:15 [35mSTATE:[39m Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15488,"outputBytes":7788}
|
||||
2022-08-31 11:27:25 [35mSTATE:[39m Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":111,"errors":0,"warnings":0}
|
||||
2022-08-31 11:27:25 [35mSTATE:[39m ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
|
||||
2022-08-31 11:27:25 [35mSTATE:[39m Copy: {"input":"tfjs/tfjs.esm.d.ts"}
|
||||
2022-08-31 11:27:25 [36mINFO: [39m Done...
|
||||
2022-08-31 11:27:26 [35mSTATE:[39m API-Extractor: {"succeeeded":true,"errors":0,"warnings":198}
|
||||
2022-08-31 11:27:26 [35mSTATE:[39m Copy: {"input":"types/human.d.ts"}
|
||||
2022-08-31 11:27:26 [36mINFO: [39m Analyze models: {"folders":8,"result":"models/models.json"}
|
||||
2022-08-31 11:27:26 [35mSTATE:[39m Models {"folder":"./models","models":13}
|
||||
2022-08-31 11:27:26 [35mSTATE:[39m Models {"folder":"../human-models/models","models":42}
|
||||
2022-08-31 11:27:26 [35mSTATE:[39m Models {"folder":"../blazepose/model/","models":4}
|
||||
2022-08-31 11:27:26 [35mSTATE:[39m Models {"folder":"../anti-spoofing/model","models":1}
|
||||
2022-08-31 11:27:26 [35mSTATE:[39m Models {"folder":"../efficientpose/models","models":3}
|
||||
2022-08-31 11:27:26 [35mSTATE:[39m Models {"folder":"../insightface/models","models":5}
|
||||
2022-08-31 11:27:26 [35mSTATE:[39m Models {"folder":"../movenet/models","models":3}
|
||||
2022-08-31 11:27:26 [35mSTATE:[39m Models {"folder":"../nanodet/models","models":4}
|
||||
2022-08-31 11:27:27 [35mSTATE:[39m Models: {"count":57,"totalSize":383017442}
|
||||
2022-08-31 11:27:27 [36mINFO: [39m Human Build complete... {"logFile":"test/build.log"}
|
||||
|
|
|
|||
1999
test/test.log
1999
test/test.log
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Load Diff
|
|
@ -1109,6 +1109,7 @@ ul.tsd-type-parameter-list h5 {
|
|||
background: var(--color-background-secondary);
|
||||
border-bottom: 1px var(--color-accent) solid;
|
||||
transition: transform 0.3s ease-in-out;
|
||||
margin: 0 auto;
|
||||
}
|
||||
.tsd-page-toolbar a {
|
||||
color: var(--color-text);
|
||||
|
|
|
|||
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Loading…
Reference in New Issue