mirror of https://github.com/vladmandic/human
fix wasm detection
Vladimir Mandic
parent
58d4390735
commit
cc1b1ae5e6
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@ -11,9 +11,8 @@
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### **HEAD -> main** 2022/08/12 mandic00@live.com
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### **origin/main** 2022/08/10 mandic00@live.com
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- enumerate additional models
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- release refresh
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### **2.9.3** 2022/08/10 mandic00@live.com
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11
TODO.md
11
TODO.md
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@ -57,6 +57,8 @@ Model is supported using `WebGL` backend in browser
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Models can be downloaded from <https://github.com/vladmandic/insightface>
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- Add `human.check()` which validates all kernel ops for currently loaded models with currently selected backend
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Example: `console.error(human.check());`
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- Add underlying tensorflow library version detection to `human.env`
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Example: `console.log(human.env.tensorflow)`
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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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@ -69,10 +71,11 @@ Model is supported using `WebGL` backend in browser
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- Fix **NanoDet** module as alternative object detection
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- Fix `demo/multithread/node-multiprocess.js` demo
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- Fix `human.match` when using mixed descriptor lengths
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- Increased test coverage
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Run using `npm run test`
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- Fix WASM feature detection issue in TFJS with Edge/Chromium
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- Increased test coverage
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**NodeJS**: Run using `npm run test`
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**Browser**: Run using `demo/browser.html`
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- Increase availability of alternative models
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See `models/model.json` for full list
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- Update **NMS** methods resulting in some performance improvements
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See `models/model.json` for full list
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- Update profiling methods in `human.profile()`
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- Update project dependencies
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@ -449,6 +449,10 @@ export declare class Env {
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offscreen: undefined | boolean;
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/** Are performance counter instant values or additive */
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perfadd: boolean;
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/** If using tfjs-node get version of underlying tensorflow shared library */
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tensorflow: {
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version: undefined | string;
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};
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/** WASM detected capabilities */
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wasm: {
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supported: undefined | boolean;
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@ -449,6 +449,10 @@ export declare class Env {
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offscreen: undefined | boolean;
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/** Are performance counter instant values or additive */
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perfadd: boolean;
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/** If using tfjs-node get version of underlying tensorflow shared library */
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tensorflow: {
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version: undefined | string;
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};
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/** WASM detected capabilities */
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wasm: {
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supported: undefined | boolean;
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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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@ -449,6 +449,10 @@ export declare class Env {
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offscreen: undefined | boolean;
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/** Are performance counter instant values or additive */
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perfadd: boolean;
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/** If using tfjs-node get version of underlying tensorflow shared library */
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tensorflow: {
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version: undefined | string;
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};
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/** WASM detected capabilities */
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wasm: {
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supported: undefined | boolean;
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@ -73430,6 +73430,7 @@ var Env = class {
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__publicField(this, "tfjs");
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__publicField(this, "offscreen");
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__publicField(this, "perfadd", false);
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__publicField(this, "tensorflow", { version: void 0 });
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__publicField(this, "wasm", {
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supported: void 0,
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backend: void 0,
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@ -73478,6 +73479,7 @@ var Env = class {
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}
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async updateBackend() {
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this.backends = Object.keys(engine().registryFactory);
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this.tensorflow = { version: backend()["binding"] ? backend()["binding"]["TF_Version"] : void 0 };
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this.wasm.supported = typeof WebAssembly !== "undefined";
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this.wasm.backend = this.backends.includes("wasm");
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if (this.wasm.supported && this.wasm.backend && getBackend() === "wasm") {
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@ -77547,7 +77549,7 @@ async function getBoxes(inputImage, config3) {
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t2.logits = slice(t2.batch, [0, 0], [-1, 1]);
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t2.sigmoid = sigmoid(t2.logits);
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t2.scores = squeeze(t2.sigmoid);
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t2.nms = image.nonMaxSuppression(t2.boxes, t2.scores, ((_a = config3.face.detector) == null ? void 0 : _a.maxDetected) || 0, ((_b = config3.face.detector) == null ? void 0 : _b.iouThreshold) || 0, ((_c = config3.face.detector) == null ? void 0 : _c.minConfidence) || 0);
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t2.nms = await image.nonMaxSuppressionAsync(t2.boxes, t2.scores, ((_a = config3.face.detector) == null ? void 0 : _a.maxDetected) || 0, ((_b = config3.face.detector) == null ? void 0 : _b.iouThreshold) || 0, ((_c = config3.face.detector) == null ? void 0 : _c.minConfidence) || 0);
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const nms = await t2.nms.array();
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const boxes = [];
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const scores = await t2.scores.data();
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@ -77991,7 +77993,7 @@ async function process3(res, outputShape, config3) {
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t2.scores = squeeze(arr[4]);
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t2.classes = squeeze(arr[5]);
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dispose([res, ...arr]);
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t2.nms = image.nonMaxSuppression(t2.boxes, t2.scores, config3.object.maxDetected, config3.object.iouThreshold, config3.object.minConfidence || 0);
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t2.nms = await image.nonMaxSuppressionAsync(t2.boxes, t2.scores, config3.object.maxDetected, config3.object.iouThreshold, config3.object.minConfidence || 0);
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const nms = await t2.nms.data();
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let i2 = 0;
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for (const id of Array.from(nms)) {
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@ -82130,7 +82132,7 @@ var HandDetector = class {
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const scores = await t2.scores.data();
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t2.boxes = slice(t2.predictions, [0, 1], [-1, 4]);
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t2.norm = this.normalizeBoxes(t2.boxes);
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t2.nms = image.nonMaxSuppression(t2.norm, t2.scores, 3 * config3.hand.maxDetected, config3.hand.iouThreshold, config3.hand.minConfidence);
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t2.nms = await image.nonMaxSuppressionAsync(t2.norm, t2.scores, 3 * config3.hand.maxDetected, config3.hand.iouThreshold, config3.hand.minConfidence);
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const nms = await t2.nms.array();
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const hands = [];
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for (const index2 of nms) {
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@ -82981,12 +82983,18 @@ async function check(instance2, force = false) {
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await setWasmPaths(instance2.config.wasmPath, instance2.config.wasmPlatformFetch);
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else
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throw new Error("backend error: attempting to use wasm backend but wasm path is not set");
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const simd = await env().getAsync("WASM_HAS_SIMD_SUPPORT");
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const mt = await env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");
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if (instance2.config.debug)
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log(`wasm execution: ${simd ? "SIMD" : "no SIMD"} ${mt ? "multithreaded" : "singlethreaded"}`);
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if (instance2.config.debug && !simd)
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log("warning: wasm simd support is not enabled");
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let mt = false;
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let simd = false;
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try {
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mt = await env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");
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simd = await env().getAsync("WASM_HAS_SIMD_SUPPORT");
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if (instance2.config.debug)
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log(`wasm execution: ${simd ? "simd" : "no simd"} ${mt ? "multithreaded" : "singlethreaded"}`);
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if (instance2.config.debug && !simd)
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log("warning: wasm simd support is not enabled");
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} catch (e2) {
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log("wasm detection failed");
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}
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}
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try {
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await setBackend(instance2.config.backend);
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@ -83119,7 +83127,7 @@ async function detectHands(input2, config3) {
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t2.max = max(t2.filtered, 1);
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t2.argmax = argMax(t2.filtered, 1);
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let id = 0;
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t2.nms = image.nonMaxSuppression(t2.boxes, t2.max, (config3.hand.maxDetected || 0) + 1, config3.hand.iouThreshold || 0, config3.hand.minConfidence || 1);
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t2.nms = await image.nonMaxSuppressionAsync(t2.boxes, t2.max, (config3.hand.maxDetected || 0) + 1, config3.hand.iouThreshold || 0, config3.hand.minConfidence || 1);
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const nms = await t2.nms.data();
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const scores = await t2.max.data();
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const classNum = await t2.argmax.data();
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@ -83614,7 +83622,7 @@ async function process4(res, outputShape, config3) {
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const nmsScores = results.map((a) => a.score);
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let nmsIdx = [];
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if (nmsBoxes && nmsBoxes.length > 0) {
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const nms = image.nonMaxSuppression(nmsBoxes, nmsScores, config3.object.maxDetected, config3.object.iouThreshold, config3.object.minConfidence);
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const nms = await image.nonMaxSuppressionAsync(nmsBoxes, nmsScores, config3.object.maxDetected, config3.object.iouThreshold, config3.object.minConfidence);
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nmsIdx = await nms.data();
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dispose(nms);
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}
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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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@ -449,6 +449,10 @@ export declare class Env {
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offscreen: undefined | boolean;
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/** Are performance counter instant values or additive */
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perfadd: boolean;
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/** If using tfjs-node get version of underlying tensorflow shared library */
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tensorflow: {
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version: undefined | string;
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};
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/** WASM detected capabilities */
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wasm: {
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supported: undefined | boolean;
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File diff suppressed because one or more lines are too long
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@ -449,6 +449,10 @@ export declare class Env {
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offscreen: undefined | boolean;
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/** Are performance counter instant values or additive */
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perfadd: boolean;
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/** If using tfjs-node get version of underlying tensorflow shared library */
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tensorflow: {
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version: undefined | string;
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};
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/** WASM detected capabilities */
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wasm: {
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supported: undefined | boolean;
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File diff suppressed because one or more lines are too long
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@ -449,6 +449,10 @@ export declare class Env {
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offscreen: undefined | boolean;
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/** Are performance counter instant values or additive */
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perfadd: boolean;
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/** If using tfjs-node get version of underlying tensorflow shared library */
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tensorflow: {
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version: undefined | string;
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};
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/** WASM detected capabilities */
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wasm: {
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supported: undefined | boolean;
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File diff suppressed because one or more lines are too long
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@ -79,7 +79,7 @@
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"@tensorflow/tfjs-node": "^3.19.0",
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"@tensorflow/tfjs-node-gpu": "^3.19.0",
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"@tensorflow/tfjs-tflite": "0.0.1-alpha.8",
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"@types/node": "^18.7.2",
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"@types/node": "^18.7.4",
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"@types/offscreencanvas": "^2019.7.0",
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"@typescript-eslint/eslint-plugin": "^5.33.0",
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"@typescript-eslint/parser": "^5.33.0",
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@ -87,8 +87,8 @@
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"@vladmandic/pilogger": "^0.4.6",
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"@vladmandic/tfjs": "github:vladmandic/tfjs",
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"@webgpu/types": "^0.1.21",
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"esbuild": "^0.15.1",
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"eslint": "8.21.0",
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"esbuild": "^0.15.3",
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"eslint": "8.22.0",
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"eslint-config-airbnb-base": "^15.0.0",
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"eslint-plugin-html": "^7.1.0",
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"eslint-plugin-import": "^2.26.0",
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@ -71,7 +71,7 @@ export async function decode(boxesTensor: Tensor, logitsTensor: Tensor, config:
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detected.push({ box, boxRaw, score: scores[i] });
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}
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/*
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t.nms = tf.image.nonMaxSuppression(t.boxes, t.scores, 1, config.body.detector?.minConfidence || 0.1, config.body.detector?.iouThreshold || 0.1);
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t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes, t.scores, 1, config.body.detector?.minConfidence || 0.1, config.body.detector?.iouThreshold || 0.1);
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const boxes = t.boxes.arraySync();
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const scores = t.scores.dataSync();
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const nms = t.nms.dataSync();
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@ -75,7 +75,7 @@ export async function getBoxes(inputImage: Tensor, config: Config) {
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t.logits = tf.slice(t.batch, [0, 0], [-1, 1]);
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t.sigmoid = tf.sigmoid(t.logits);
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t.scores = tf.squeeze(t.sigmoid);
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t.nms = tf.image.nonMaxSuppression(t.boxes, t.scores, (config.face.detector?.maxDetected || 0), (config.face.detector?.iouThreshold || 0), (config.face.detector?.minConfidence || 0));
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t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes, t.scores, (config.face.detector?.maxDetected || 0), (config.face.detector?.iouThreshold || 0), (config.face.detector?.minConfidence || 0));
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const nms = await t.nms.array() as number[];
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const boxes: Array<DetectBox> = [];
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const scores = await t.scores.data();
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@ -67,7 +67,7 @@ export class HandDetector {
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t.boxes = tf.slice(t.predictions, [0, 1], [-1, 4]);
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t.norm = this.normalizeBoxes(t.boxes);
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// box detection is flaky so we look for 3x boxes than we need results
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t.nms = tf.image.nonMaxSuppression(t.norm, t.scores, 3 * config.hand.maxDetected, config.hand.iouThreshold, config.hand.minConfidence);
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t.nms = await tf.image.nonMaxSuppressionAsync(t.norm, t.scores, 3 * config.hand.maxDetected, config.hand.iouThreshold, config.hand.minConfidence);
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const nms = await t.nms.array() as Array<number>;
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const hands: Array<{ startPoint: Point; endPoint: Point; palmLandmarks: Point[]; confidence: number }> = [];
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for (const index of nms) {
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@ -121,7 +121,7 @@ async function detectHands(input: Tensor, config: Config): Promise<HandDetectRes
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t.max = tf.max(t.filtered, 1); // max overall score
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t.argmax = tf.argMax(t.filtered, 1); // class index of max overall score
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let id = 0;
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t.nms = tf.image.nonMaxSuppression(t.boxes, t.max, (config.hand.maxDetected || 0) + 1, config.hand.iouThreshold || 0, config.hand.minConfidence || 1);
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t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes, t.max, (config.hand.maxDetected || 0) + 1, config.hand.iouThreshold || 0, config.hand.minConfidence || 1);
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const nms = await t.nms.data();
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const scores = await t.max.data();
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const classNum = await t.argmax.data();
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@ -42,7 +42,7 @@ async function process(res: Tensor | null, outputShape: [number, number], config
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t.scores = tf.squeeze(arr[4]);
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t.classes = tf.squeeze(arr[5]);
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tf.dispose([res, ...arr]);
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t.nms = tf.image.nonMaxSuppression(t.boxes, t.scores, config.object.maxDetected, config.object.iouThreshold, (config.object.minConfidence || 0));
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t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes, t.scores, config.object.maxDetected, config.object.iouThreshold, (config.object.minConfidence || 0));
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const nms = await t.nms.data();
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let i = 0;
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for (const id of Array.from(nms)) {
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@ -91,7 +91,7 @@ async function process(res: Tensor[], outputShape: [number, number], config: Con
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const nmsScores = results.map((a) => a.score);
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let nmsIdx: Array<number> = [];
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if (nmsBoxes && nmsBoxes.length > 0) {
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const nms = tf.image.nonMaxSuppression(nmsBoxes, nmsScores, config.object.maxDetected, config.object.iouThreshold, config.object.minConfidence);
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const nms = await tf.image.nonMaxSuppressionAsync(nmsBoxes, nmsScores, config.object.maxDetected, config.object.iouThreshold, config.object.minConfidence);
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nmsIdx = await nms.data();
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tf.dispose(nms);
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}
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@ -90,10 +90,16 @@ export async function check(instance: Human, force = false) {
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if (instance.config.debug) log('wasm path:', instance.config.wasmPath);
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if (typeof tf?.setWasmPaths !== 'undefined') await tf.setWasmPaths(instance.config.wasmPath, instance.config.wasmPlatformFetch);
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else throw new Error('backend error: attempting to use wasm backend but wasm path is not set');
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const simd = await tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');
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const mt = await tf.env().getAsync('WASM_HAS_MULTITHREAD_SUPPORT');
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if (instance.config.debug) log(`wasm execution: ${simd ? 'SIMD' : 'no SIMD'} ${mt ? 'multithreaded' : 'singlethreaded'}`);
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if (instance.config.debug && !simd) log('warning: wasm simd support is not enabled');
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let mt = false;
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let simd = false;
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try {
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mt = await tf.env().getAsync('WASM_HAS_MULTITHREAD_SUPPORT');
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simd = await tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');
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if (instance.config.debug) log(`wasm execution: ${simd ? 'simd' : 'no simd'} ${mt ? 'multithreaded' : 'singlethreaded'}`);
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if (instance.config.debug && !simd) log('warning: wasm simd support is not enabled');
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} catch {
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log('wasm detection failed');
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}
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}
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try {
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@ -27,6 +27,10 @@ export class Env {
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offscreen: undefined | boolean;
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/** Are performance counter instant values or additive */
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perfadd: boolean = false;
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/** If using tfjs-node get version of underlying tensorflow shared library */
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tensorflow: {
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version: undefined | string,
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} = { version: undefined };
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/** WASM detected capabilities */
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wasm: {
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supported: undefined | boolean,
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@ -84,6 +88,7 @@ export class Env {
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this.tfjs = { version: tf.version['tfjs-core'] };
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this.offscreen = typeof OffscreenCanvas !== 'undefined';
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this.initial = true;
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// @ts-ignore WorkerGlobalScope evaluated in browser only
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this.worker = this.browser && this.offscreen ? (typeof WorkerGlobalScope !== 'undefined') : undefined;
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if (typeof navigator !== 'undefined') {
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@ -114,6 +119,7 @@ export class Env {
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async updateBackend() {
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// analyze backends
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this.backends = Object.keys(tf.engine().registryFactory);
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this.tensorflow = { version: (tf.backend()['binding'] ? tf.backend()['binding']['TF_Version'] : undefined) };
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this.wasm.supported = typeof WebAssembly !== 'undefined';
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this.wasm.backend = this.backends.includes('wasm');
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if (this.wasm.supported && this.wasm.backend && tf.getBackend() === 'wasm') {
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@ -13,9 +13,9 @@
|
|||
<style>
|
||||
@font-face { font-family: 'Lato'; font-display: swap; font-style: normal; font-weight: 100; src: local('Lato'), url('../../assets/lato-light.woff2') }
|
||||
html { font-family: 'Lato', 'Segoe UI'; font-size: 14px; font-variant: small-caps; }
|
||||
body { margin: 0; background: black; color: white; }
|
||||
body { margin: 0; background: black; color: white; width: 100vw; overflow-x: hidden; }
|
||||
.canvas { position: absolute; bottom: 10px; right: 10px; width: 256px; height: 256px; z-index: 99; }
|
||||
.pre { line-height: 150%; }
|
||||
.pre { line-height: 150%; white-space: break-spaces; }
|
||||
.events { position: absolute; top: 10px; right: 10px; width: 12rem; height: 1.25rem; background-color: grey; padding: 8px; z-index: 99; }
|
||||
.state { position: absolute; top: 60px; right: 10px; width: 12rem; height: 1.25rem; background-color: grey; padding: 8px; z-index: 99; }
|
||||
</style>
|
||||
|
|
@ -36,16 +36,16 @@
|
|||
object: { enabled: true },
|
||||
};
|
||||
|
||||
const backends = ['wasm', 'webgl', 'humangl', 'webgpu'];
|
||||
const backends = ['wasm', 'humangl', 'webgl', 'webgpu'];
|
||||
|
||||
const start = performance.now();
|
||||
|
||||
function str(...msg) {
|
||||
function str(long, ...msg) {
|
||||
if (!Array.isArray(msg)) return msg;
|
||||
let line = '';
|
||||
for (const entry of msg) {
|
||||
if (typeof entry === 'object') line += JSON.stringify(entry).replace(/"/g, '').replace(/,/g, ', ').replace(/:/g, ': ');
|
||||
else line += entry;
|
||||
if (typeof entry === 'object') line += ' ' + JSON.stringify(entry, null, long ? 2 : 0).replace(/"/g, '').replace(/,/g, ', ').replace(/:/g, ': ');
|
||||
else line += ' ' + entry;
|
||||
}
|
||||
return line + '\n';
|
||||
}
|
||||
|
|
@ -55,9 +55,19 @@
|
|||
const dt = new Date();
|
||||
const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;
|
||||
const elap = (dt - last).toString().padStart(5, '0');
|
||||
document.getElementById('log').innerHTML += ts + ' +' + elap + 'ms  ' + str(...msgs);
|
||||
// eslint-disable-next-line no-console
|
||||
console.log(ts, elap, ...msgs);
|
||||
document.getElementById('log').innerHTML += ts + ' +' + elap + 'ms  ' + str(false, ...msgs);
|
||||
document.documentElement.scrollTop = document.documentElement.scrollHeight
|
||||
console.log(ts, elap, ...msgs); // eslint-disable-line no-console
|
||||
last = dt;
|
||||
}
|
||||
|
||||
async function detailed(...msgs) {
|
||||
const dt = new Date();
|
||||
const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;
|
||||
const elap = (dt - last).toString().padStart(5, '0');
|
||||
document.getElementById('log').innerHTML += ts + ' +' + elap + 'ms  ' + str(true, ...msgs);
|
||||
document.documentElement.scrollTop = document.documentElement.scrollHeight
|
||||
console.log(ts, elap, ...msgs); // eslint-disable-line no-console
|
||||
last = dt;
|
||||
}
|
||||
|
||||
|
|
@ -95,37 +105,44 @@
|
|||
human.events.addEventListener('image', () => events('image'));
|
||||
human.events.addEventListener('detect', () => events('detect'));
|
||||
const timer = setInterval(() => { document.getElementById('state').innerText = `State: ${human.state}`; }, 10);
|
||||
log({ version: human.version });
|
||||
log({ tfjs: human.tf.version.tfjs });
|
||||
log({ environment: human.env });
|
||||
log({ config: human.config });
|
||||
log('version', human.version);
|
||||
log('tfjs', human.tf.version.tfjs);
|
||||
|
||||
const env = JSON.parse(JSON.stringify(human.env));
|
||||
env.kernels = human.env.kernels.length;
|
||||
detailed('environment', env);
|
||||
|
||||
detailed('config', human.config);
|
||||
await human.load();
|
||||
const models = Object.keys(human.models).map((model) => ({ name: model, loaded: (human.models[model] !== null) }));
|
||||
log({ models });
|
||||
log('models', models);
|
||||
for (const backend of backends) {
|
||||
log();
|
||||
log('test start:', backend);
|
||||
human.config.backend = backend;
|
||||
await human.init();
|
||||
log({ initialized: human.tf.getBackend() });
|
||||
log({ memory: human.tf.memory() });
|
||||
log('desired', backend, 'detected', human.tf.getBackend());
|
||||
if (human.tf.getBackend() !== backend) {
|
||||
continue;
|
||||
}
|
||||
log('memory', human.tf.memory());
|
||||
res = await human.validate();
|
||||
log({ validate: res });
|
||||
log('validate', res);
|
||||
res = await human.warmup({ warmup: 'face' });
|
||||
draw(res.canvas);
|
||||
log({ warmup: 'face' });
|
||||
log('warmup', 'face');
|
||||
let img = await image('../../samples/in/ai-body.jpg');
|
||||
const input = await human.image(img);
|
||||
log({ input: input.tensor.shape });
|
||||
log('input', input.tensor.shape);
|
||||
draw(res.canvas);
|
||||
res = await human.detect(input.tensor);
|
||||
log({ detect: true });
|
||||
log('detect');
|
||||
human.next();
|
||||
log({ interpolated: true });
|
||||
log('interpolate');
|
||||
const persons = res.persons;
|
||||
log({ persons: true });
|
||||
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 } });
|
||||
log({ performance: human.performance });
|
||||
log('persons');
|
||||
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 });
|
||||
log('performance', human.performance);
|
||||
human.tf.dispose(input.tensor);
|
||||
draw();
|
||||
|
||||
|
|
@ -138,12 +155,12 @@
|
|||
draw(res.canvas);
|
||||
}
|
||||
const t1 = performance.now();
|
||||
log({ benchmark: { time: Math.round((t1 - t0) / 10), cacheSensitivity: val }, performance: human.performance });
|
||||
log('benchmark', { time: Math.round((t1 - t0) / 10), cacheSensitivity: val, performance: human.performance });
|
||||
await wait(10);
|
||||
}
|
||||
draw();
|
||||
|
||||
log({ memory: human.tf.memory() });
|
||||
log('memory', human.tf.memory());
|
||||
}
|
||||
clearInterval(timer);
|
||||
log();
|
||||
|
|
|
|||
492
test/browser.log
492
test/browser.log
|
|
@ -1,80 +1,412 @@
|
|||
14:40:51.744 +00001ms human tests
|
||||
14:40:51.918 +00174ms {version: 2.9.0}
|
||||
14:40:51.918 +00000ms {tfjs: 3.19.0}
|
||||
14:40:51.918 +00000ms {environment: {browser: true, node: false, worker: false, platform: Windows NT 10.0; Win64; x64, agent: Mozilla/5.0 AppleWebKit/537.36 Chrome/105.0.0.0 Safari/537.36 Edg/105.0.1329.0, backends: [cpu, webgl, wasm, webgpu, humangl], initial: true, tfjs: {version: 3.19.0}, offscreen: true, perfadd: false, wasm: {supported: true, backend: true}, webgl: {supported: true, backend: true, version: WebGL 2.0 (OpenGL ES 3.0 Chromium), renderer: WebKit WebGL}, webgpu: {supported: true, backend: true, adapter: Default}, 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]}}
|
||||
14:40:51.918 +00000ms {config: {backend: humangl, modelBasePath: ../models/, cacheModels: 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}}}
|
||||
14:40:52.214 +00296ms {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: 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}]}
|
||||
14:40:52.214 +00000ms
|
||||
14:40:52.214 +00000ms test start:wasm
|
||||
14:40:53.404 +01190ms {initialized: wasm}
|
||||
14:40:53.404 +00000ms {memory: {unreliable: false, numTensors: 1761, numDataBuffers: 1761, numBytes: 60948216}}
|
||||
14:40:53.404 +00000ms {validate: []}
|
||||
14:40:53.884 +00480ms {warmup: face}
|
||||
14:40:53.967 +00083ms {input: [1, 1200, 1200, 3]}
|
||||
14:40:54.232 +00265ms {detect: true}
|
||||
14:40:54.234 +00002ms {interpolated: true}
|
||||
14:40:54.234 +00000ms {persons: true}
|
||||
14:40:54.234 +00000ms {summary: {persons: 1, face: 1, body: 1, hand: 1, object: 1, gesture: 6}}
|
||||
14:40:54.234 +00000ms {performance: {initBackend: 1183, loadModels: 295, inputProcess: 2, totalFrames: 2, cachedFrames: 0, cacheCheck: 0, total: 263, warmup: 479}}
|
||||
14:40:54.989 +00755ms {benchmark: {time: 71, cacheSensitivity: 0}, performance: {inputProcess: 2, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 52}}
|
||||
14:40:55.708 +00719ms {benchmark: {time: 70, cacheSensitivity: 0.25}, performance: {inputProcess: 2, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 55}}
|
||||
14:40:56.418 +00710ms {benchmark: {time: 68, cacheSensitivity: 0.5}, performance: {inputProcess: 1, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 48}}
|
||||
14:40:57.108 +00690ms {benchmark: {time: 66, cacheSensitivity: 0.75}, performance: {inputProcess: 2, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 54}}
|
||||
14:40:57.484 +00376ms {benchmark: {time: 34, cacheSensitivity: 10}, performance: {inputProcess: 2, totalFrames: 10, cachedFrames: 8, cacheCheck: 0, total: 48}}
|
||||
14:40:57.512 +00028ms {memory: {unreliable: false, numTensors: 1762, numDataBuffers: 1762, numBytes: 61734648}}
|
||||
14:40:57.512 +00000ms
|
||||
14:40:57.513 +00001ms test start:webgl
|
||||
14:40:57.550 +00037ms {initialized: webgl}
|
||||
14:40:57.551 +00001ms {memory: {unreliable: false, numBytesInGPU: 0, numBytesInGPUAllocated: 0, numBytesInGPUFree: 0, numTensors: 1768, numDataBuffers: 1768, numBytes: 61734680}}
|
||||
14:40:57.551 +00000ms {validate: []}
|
||||
14:40:59.550 +01999ms {warmup: face}
|
||||
14:40:59.589 +00039ms {input: [1, 1200, 1200, 3]}
|
||||
14:41:01.233 +01644ms {detect: true}
|
||||
14:41:01.234 +00001ms {interpolated: true}
|
||||
14:41:01.234 +00000ms {persons: true}
|
||||
14:41:01.234 +00000ms {summary: {persons: 0, face: 0, body: 1, hand: 0, object: 0, gesture: 0}}
|
||||
14:41:01.234 +00000ms {performance: {inputProcess: 0, totalFrames: 12, cachedFrames: 9, cacheCheck: 0, total: 1639, initBackend: 0, warmup: 1999}}
|
||||
14:41:03.565 +02331ms {benchmark: {time: 229, cacheSensitivity: 0}, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 63}}
|
||||
14:41:04.434 +00869ms {benchmark: {time: 83, cacheSensitivity: 0.25}, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 5, total: 54}}
|
||||
14:41:05.322 +00888ms {benchmark: {time: 84, cacheSensitivity: 0.5}, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 4, total: 55}}
|
||||
14:41:06.268 +00946ms {benchmark: {time: 91, cacheSensitivity: 0.75}, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 11, total: 84}}
|
||||
14:41:06.851 +00583ms {benchmark: {time: 54, cacheSensitivity: 10}, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 8, cacheCheck: 16, total: 71}}
|
||||
14:41:06.897 +00046ms {memory: {unreliable: false, numBytesInGPU: 56099560, numBytesInGPUAllocated: 701611228, numBytesInGPUFree: 645511668, numTensors: 1768, numDataBuffers: 1768, numBytes: 61734680}}
|
||||
14:41:06.898 +00001ms
|
||||
14:41:06.898 +00000ms test start:humangl
|
||||
14:41:06.947 +00049ms {initialized: humangl}
|
||||
14:41:06.947 +00000ms {memory: {unreliable: false, numBytesInGPU: 0, numBytesInGPUAllocated: 0, numBytesInGPUFree: 0, numTensors: 1774, numDataBuffers: 1774, numBytes: 61734712}}
|
||||
14:41:06.947 +00000ms {validate: []}
|
||||
14:41:09.119 +02172ms {warmup: face}
|
||||
14:41:09.189 +00070ms {input: [1, 1200, 1200, 3]}
|
||||
14:41:09.663 +00474ms {detect: true}
|
||||
14:41:09.665 +00002ms {interpolated: true}
|
||||
14:41:09.666 +00001ms {persons: true}
|
||||
14:41:09.666 +00000ms {summary: {persons: 1, face: 1, body: 1, hand: 0, object: 0, gesture: 1}}
|
||||
14:41:09.666 +00000ms {performance: {inputProcess: 0, totalFrames: 12, cachedFrames: 9, cacheCheck: 0, total: 473, initBackend: 2, warmup: 2171}}
|
||||
14:41:12.296 +02630ms {benchmark: {time: 263, cacheSensitivity: 0}, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 283}}
|
||||
14:41:14.946 +02650ms {benchmark: {time: 260, cacheSensitivity: 0.25}, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 15, total: 249}}
|
||||
14:41:17.663 +02717ms {benchmark: {time: 266, cacheSensitivity: 0.5}, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 15, total: 250}}
|
||||
14:41:20.513 +02850ms {benchmark: {time: 279, cacheSensitivity: 0.75}, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 15, total: 249}}
|
||||
14:41:21.796 +01283ms {benchmark: {time: 122, cacheSensitivity: 10}, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 8, cacheCheck: 11, total: 245}}
|
||||
14:41:21.857 +00061ms {memory: {unreliable: false, numBytesInGPU: 56099560, numBytesInGPUAllocated: 701611228, numBytesInGPUFree: 645511668, numTensors: 1774, numDataBuffers: 1774, numBytes: 61734712}}
|
||||
14:41:21.857 +00000ms
|
||||
14:41:21.857 +00000ms test start:webgpu
|
||||
14:41:21.966 +00109ms {initialized: webgpu}
|
||||
14:41:21.966 +00000ms {memory: {numBytesInGPU: 0, numBytesAllocatedInGPU: 0, unreliable: false, numTensors: 1780, numDataBuffers: 1780, numBytes: 61734744}}
|
||||
14:41:21.967 +00001ms {validate: []}
|
||||
14:41:37.313 +15346ms {warmup: face}
|
||||
14:41:37.327 +00014ms {input: [1, 1200, 1200, 3]}
|
||||
14:41:38.482 +01155ms {detect: true}
|
||||
14:41:38.483 +00001ms {interpolated: true}
|
||||
14:41:38.483 +00000ms {persons: true}
|
||||
14:41:38.483 +00000ms {summary: {persons: 1, face: 1, body: 1, hand: 0, object: 0, gesture: 1}}
|
||||
14:41:38.484 +00001ms {performance: {inputProcess: 0, totalFrames: 12, cachedFrames: 9, cacheCheck: 0, total: 1154, initBackend: 89, warmup: 15345}}
|
||||
14:41:41.952 +03468ms {benchmark: {time: 347, cacheSensitivity: 0}, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 0, total: 68}}
|
||||
14:41:42.769 +00817ms {benchmark: {time: 77, cacheSensitivity: 0.25}, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 3, total: 75}}
|
||||
14:41:43.586 +00817ms {benchmark: {time: 77, cacheSensitivity: 0.5}, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 3, total: 73}}
|
||||
14:41:44.400 +00814ms {benchmark: {time: 76, cacheSensitivity: 0.75}, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 0, cacheCheck: 3, total: 71}}
|
||||
14:41:44.833 +00433ms {benchmark: {time: 38, cacheSensitivity: 10}, performance: {inputProcess: 0, totalFrames: 10, cachedFrames: 8, cacheCheck: 3, total: 77}}
|
||||
14:41:44.887 +00054ms {memory: {numBytesInGPU: 53317336, numBytesAllocatedInGPU: 402364236, unreliable: false, numTensors: 1780, numDataBuffers: 41787, numBytes: 61734744}}
|
||||
14:41:44.887 +00000ms
|
||||
14:41:44.887 +00000ms tests complete
|
||||
10:13:35.412 +00001ms human tests
|
||||
10:13:35.517 +00105ms version 2.9.3
|
||||
10:13:35.517 +00000ms tfjs 3.19.0
|
||||
10:13:35.517 +00000ms environment {
|
||||
browser: true,
|
||||
node: false,
|
||||
worker: false,
|
||||
platform: Windows NT 10.0; Win64; x64,
|
||||
agent: Mozilla/5.0 AppleWebKit/537.36 Chrome/106.0.0.0 Safari/537.36,
|
||||
backends: [
|
||||
cpu,
|
||||
webgl,
|
||||
wasm,
|
||||
webgpu,
|
||||
humangl
|
||||
],
|
||||
initial: true,
|
||||
tfjs: {
|
||||
version: 3.19.0
|
||||
},
|
||||
offscreen: true,
|
||||
perfadd: false,
|
||||
wasm: {
|
||||
supported: true,
|
||||
backend: true
|
||||
},
|
||||
webgl: {
|
||||
supported: true,
|
||||
backend: true,
|
||||
version: WebGL 2.0 (OpenGL ES 3.0 Chromium),
|
||||
renderer: WebKit WebGL
|
||||
},
|
||||
webgpu: {
|
||||
supported: true,
|
||||
backend: true,
|
||||
adapter: Default
|
||||
},
|
||||
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
|
||||
]
|
||||
}
|
||||
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
|
||||
|
|
|
|||
|
|
@ -1,39 +1,39 @@
|
|||
2022-08-12 09:50:24 [32mDATA: [39m Build {"name":"@vladmandic/human","version":"2.9.3"}
|
||||
2022-08-12 09:50:24 [36mINFO: [39m Application: {"name":"@vladmandic/human","version":"2.9.3"}
|
||||
2022-08-12 09:50:24 [36mINFO: [39m Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true}
|
||||
2022-08-12 09:50:24 [36mINFO: [39m Toolchain: {"build":"0.7.9","esbuild":"0.15.1","typescript":"4.7.4","typedoc":"0.23.10","eslint":"8.21.0"}
|
||||
2022-08-12 09:50:24 [36mINFO: [39m Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]}
|
||||
2022-08-12 09:50:24 [35mSTATE:[39m Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]}
|
||||
2022-08-12 09:50:24 [35mSTATE:[39m Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":102,"outputBytes":608}
|
||||
2022-08-12 09:50:24 [35mSTATE:[39m Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":75,"inputBytes":654779,"outputBytes":307161}
|
||||
2022-08-12 09:50:24 [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":110,"outputBytes":612}
|
||||
2022-08-12 09:50:24 [35mSTATE:[39m Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":75,"inputBytes":654783,"outputBytes":307165}
|
||||
2022-08-12 09:50:24 [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":149,"outputBytes":664}
|
||||
2022-08-12 09:50:24 [35mSTATE:[39m Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":75,"inputBytes":654835,"outputBytes":307215}
|
||||
2022-08-12 09:50:24 [35mSTATE:[39m Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1069,"outputBytes":358}
|
||||
2022-08-12 09:50:24 [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":1032,"outputBytes":583}
|
||||
2022-08-12 09:50:24 [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":654754,"outputBytes":306014}
|
||||
2022-08-12 09:50:24 [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":1271,"outputBytes":2787569}
|
||||
2022-08-12 09:50:24 [35mSTATE:[39m Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":75,"inputBytes":3441740,"outputBytes":1668900}
|
||||
2022-08-12 09:50:24 [35mSTATE:[39m Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":75,"inputBytes":3441740,"outputBytes":3072630}
|
||||
2022-08-12 09:50:31 [35mSTATE:[39m Typings: {"input":"src/human.ts","output":"types/lib","files":30}
|
||||
2022-08-12 09:50:33 [35mSTATE:[39m TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":77,"generated":true}
|
||||
2022-08-12 09:50:33 [35mSTATE:[39m Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6716,"outputBytes":3141}
|
||||
2022-08-12 09:50:33 [35mSTATE:[39m Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15629,"outputBytes":7798}
|
||||
2022-08-12 09:50:42 [35mSTATE:[39m Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":109,"errors":0,"warnings":0}
|
||||
2022-08-12 09:50:42 [35mSTATE:[39m ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
|
||||
2022-08-12 09:50:42 [35mSTATE:[39m Copy: {"input":"tfjs/tfjs.esm.d.ts"}
|
||||
2022-08-12 09:50:42 [36mINFO: [39m Done...
|
||||
2022-08-12 09:50:42 [35mSTATE:[39m API-Extractor: {"succeeeded":true,"errors":0,"warnings":198}
|
||||
2022-08-12 09:50:42 [35mSTATE:[39m Copy: {"input":"types/human.d.ts"}
|
||||
2022-08-12 09:50:42 [36mINFO: [39m Analyze models: {"folders":8,"result":"models/models.json"}
|
||||
2022-08-12 09:50:42 [35mSTATE:[39m Models {"folder":"./models","models":13}
|
||||
2022-08-12 09:50:42 [35mSTATE:[39m Models {"folder":"../human-models/models","models":42}
|
||||
2022-08-12 09:50:42 [35mSTATE:[39m Models {"folder":"../blazepose/model/","models":4}
|
||||
2022-08-12 09:50:42 [35mSTATE:[39m Models {"folder":"../anti-spoofing/model","models":1}
|
||||
2022-08-12 09:50:42 [35mSTATE:[39m Models {"folder":"../efficientpose/models","models":3}
|
||||
2022-08-12 09:50:42 [35mSTATE:[39m Models {"folder":"../insightface/models","models":5}
|
||||
2022-08-12 09:50:42 [35mSTATE:[39m Models {"folder":"../movenet/models","models":3}
|
||||
2022-08-12 09:50:42 [35mSTATE:[39m Models {"folder":"../nanodet/models","models":4}
|
||||
2022-08-12 09:50:43 [35mSTATE:[39m Models: {"count":57,"totalSize":383017442}
|
||||
2022-08-12 09:50:43 [36mINFO: [39m Human Build complete... {"logFile":"test/build.log"}
|
||||
2022-08-15 11:28:08 [32mDATA: [39m Build {"name":"@vladmandic/human","version":"2.9.3"}
|
||||
2022-08-15 11:28:08 [36mINFO: [39m Application: {"name":"@vladmandic/human","version":"2.9.3"}
|
||||
2022-08-15 11:28:08 [36mINFO: [39m Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true}
|
||||
2022-08-15 11:28:08 [36mINFO: [39m Toolchain: {"build":"0.7.9","esbuild":"0.15.3","typescript":"4.7.4","typedoc":"0.23.10","eslint":"8.22.0"}
|
||||
2022-08-15 11:28:08 [36mINFO: [39m Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]}
|
||||
2022-08-15 11:28:08 [35mSTATE:[39m Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]}
|
||||
2022-08-15 11:28:08 [35mSTATE:[39m Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":102,"outputBytes":608}
|
||||
2022-08-15 11:28:08 [35mSTATE:[39m Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":75,"inputBytes":655247,"outputBytes":307391}
|
||||
2022-08-15 11:28:08 [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":110,"outputBytes":612}
|
||||
2022-08-15 11:28:08 [35mSTATE:[39m Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":75,"inputBytes":655251,"outputBytes":307395}
|
||||
2022-08-15 11:28:08 [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":149,"outputBytes":664}
|
||||
2022-08-15 11:28:08 [35mSTATE:[39m Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":75,"inputBytes":655303,"outputBytes":307445}
|
||||
2022-08-15 11:28:08 [35mSTATE:[39m Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1069,"outputBytes":358}
|
||||
2022-08-15 11:28:08 [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":1032,"outputBytes":583}
|
||||
2022-08-15 11:28:08 [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":655222,"outputBytes":306242}
|
||||
2022-08-15 11:28:09 [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":1271,"outputBytes":2787569}
|
||||
2022-08-15 11:28:09 [35mSTATE:[39m Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":75,"inputBytes":3442208,"outputBytes":1669116}
|
||||
2022-08-15 11:28:09 [35mSTATE:[39m Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":75,"inputBytes":3442208,"outputBytes":3072985}
|
||||
2022-08-15 11:28:14 [35mSTATE:[39m Typings: {"input":"src/human.ts","output":"types/lib","files":30}
|
||||
2022-08-15 11:28:15 [35mSTATE:[39m TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":77,"generated":true}
|
||||
2022-08-15 11:28:15 [35mSTATE:[39m Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6716,"outputBytes":3141}
|
||||
2022-08-15 11:28:15 [35mSTATE:[39m Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15629,"outputBytes":7798}
|
||||
2022-08-15 11:28:24 [35mSTATE:[39m Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":109,"errors":0,"warnings":0}
|
||||
2022-08-15 11:28:24 [35mSTATE:[39m ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
|
||||
2022-08-15 11:28:24 [35mSTATE:[39m Copy: {"input":"tfjs/tfjs.esm.d.ts"}
|
||||
2022-08-15 11:28:24 [36mINFO: [39m Done...
|
||||
2022-08-15 11:28:24 [35mSTATE:[39m API-Extractor: {"succeeeded":true,"errors":0,"warnings":198}
|
||||
2022-08-15 11:28:24 [35mSTATE:[39m Copy: {"input":"types/human.d.ts"}
|
||||
2022-08-15 11:28:24 [36mINFO: [39m Analyze models: {"folders":8,"result":"models/models.json"}
|
||||
2022-08-15 11:28:24 [35mSTATE:[39m Models {"folder":"./models","models":13}
|
||||
2022-08-15 11:28:24 [35mSTATE:[39m Models {"folder":"../human-models/models","models":42}
|
||||
2022-08-15 11:28:24 [35mSTATE:[39m Models {"folder":"../blazepose/model/","models":4}
|
||||
2022-08-15 11:28:24 [35mSTATE:[39m Models {"folder":"../anti-spoofing/model","models":1}
|
||||
2022-08-15 11:28:24 [35mSTATE:[39m Models {"folder":"../efficientpose/models","models":3}
|
||||
2022-08-15 11:28:24 [35mSTATE:[39m Models {"folder":"../insightface/models","models":5}
|
||||
2022-08-15 11:28:24 [35mSTATE:[39m Models {"folder":"../movenet/models","models":3}
|
||||
2022-08-15 11:28:24 [35mSTATE:[39m Models {"folder":"../nanodet/models","models":4}
|
||||
2022-08-15 11:28:25 [35mSTATE:[39m Models: {"count":57,"totalSize":383017442}
|
||||
2022-08-15 11:28:25 [36mINFO: [39m Human Build complete... {"logFile":"test/build.log"}
|
||||
|
|
|
|||
|
|
@ -5,7 +5,7 @@ const { fork } = require('child_process');
|
|||
const log = require('@vladmandic/pilogger');
|
||||
|
||||
let logFile = 'test.log';
|
||||
log.configure({ inspect: { breakLength: 500 } });
|
||||
log.configure({ inspect: { breakLength: 350 } });
|
||||
|
||||
const tests = [
|
||||
'test-node.js',
|
||||
|
|
|
|||
|
|
@ -12,7 +12,8 @@ const log = (status, ...data) => {
|
|||
};
|
||||
|
||||
process.on('uncaughtException', (err) => {
|
||||
log('error', 'uncaughtException', lastOp, err);
|
||||
log('error', 'uncaughtException', lastOp, err); // abort immediately
|
||||
process.exit(1);
|
||||
});
|
||||
|
||||
async function testHTTP() {
|
||||
|
|
@ -74,12 +75,17 @@ async function testInstance(human) {
|
|||
log('info', 'human version:', human.version);
|
||||
log('info', 'platform:', human.env.platform, 'agent:', human.env.agent);
|
||||
log('info', 'tfjs version:', human.tf.version.tfjs);
|
||||
const bindingVer = human.tf.backend()['binding'] ? human.tf.backend()['binding']['TF_Version'] : null;
|
||||
if (bindingVer) log('info', 'tensorflow binding version:', bindingVer);
|
||||
const env = JSON.parse(JSON.stringify(human.env));
|
||||
env.kernels = human.env.kernels.length;
|
||||
log('info', 'env:', env);
|
||||
|
||||
await human.load();
|
||||
if (config.backend === human.tf.getBackend()) log('state', 'passed: set backend:', config.backend);
|
||||
else log('error', 'failed: set backend:', config.backend);
|
||||
if (config.backend === human.tf.getBackend()) {
|
||||
log('state', 'passed: set backend:', config.backend);
|
||||
} else {
|
||||
log('error', 'failed: set backend:', config.backend); // abort immediately
|
||||
return false;
|
||||
}
|
||||
log('state', 'tensors', human.tf.memory().numTensors);
|
||||
|
||||
if (human.models) {
|
||||
|
|
@ -296,7 +302,11 @@ async function test(Human, inputConfig) {
|
|||
|
||||
// test warmup sequences
|
||||
log('info', 'test: warmup');
|
||||
await testInstance(human);
|
||||
res = await testInstance(human);
|
||||
if (!res) {
|
||||
log('error', 'failed: instance backend:', human.tf.getBackend());
|
||||
return;
|
||||
}
|
||||
config.cacheSensitivity = 0;
|
||||
config.warmup = 'none';
|
||||
res = await testWarmup(human, 'default');
|
||||
|
|
@ -475,7 +485,7 @@ async function test(Human, inputConfig) {
|
|||
// test face attention
|
||||
log('info', 'test face attention');
|
||||
human.models.facemesh = null;
|
||||
config.face.attention = { enabled: true };
|
||||
config.face.attention = { enabled: true, modelPath: 'https://vladmandic.github.io/human-models/models/facemesh-attention.json' };
|
||||
res = await testDetect(human, 'samples/in/ai-face.jpg', 'face attention');
|
||||
if (!res || !res.face[0] || res.face[0].mesh.length !== 478 || Object.keys(res.face[0].annotations).length !== 36) log('error', 'failed: face attention', { mesh: res.face?.[0]?.mesh?.length, annotations: Object.keys(res.face?.[0]?.annotations | {}).length });
|
||||
else log('state', 'passed: face attention');
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
process.env.TF_CPP_MIN_LOG_LEVEL = '2';
|
||||
const Human = require('../dist/human.node-gpu.js').default;
|
||||
const H = require('../dist/human.node-gpu.js');
|
||||
const test = require('./test-main.js').test;
|
||||
|
||||
const config = {
|
||||
|
|
@ -25,4 +25,8 @@ const config = {
|
|||
filter: { enabled: false },
|
||||
};
|
||||
|
||||
test(Human, config);
|
||||
async function main() {
|
||||
test(H.Human, config);
|
||||
}
|
||||
|
||||
main();
|
||||
|
|
|
|||
|
|
@ -1,20 +1,21 @@
|
|||
const log = require('@vladmandic/pilogger');
|
||||
const tf = require('@tensorflow/tfjs'); // wasm backend requires tfjs to be loaded first
|
||||
const wasm = require('@tensorflow/tfjs-backend-wasm'); // wasm backend does not get auto-loaded in nodejs
|
||||
const { Canvas, Image } = require('canvas');
|
||||
const Human = require('../dist/human.node-wasm.js');
|
||||
const H = require('../dist/human.node-wasm.js');
|
||||
const test = require('./test-main.js').test;
|
||||
|
||||
// @ts-ignore
|
||||
Human.env.Canvas = Canvas; // requires monkey-patch as wasm does not have tf.browser namespace
|
||||
H.env.Canvas = Canvas; // requires monkey-patch as wasm does not have tf.browser namespace
|
||||
// @ts-ignore
|
||||
Human.env.Image = Image; // requires monkey-patch as wasm does not have tf.browser namespace
|
||||
H.env.Image = Image; // requires monkey-patch as wasm does not have tf.browser namespace
|
||||
|
||||
const config = {
|
||||
cacheSensitivity: 0,
|
||||
modelBasePath: 'https://vladmandic.github.io/human/models/',
|
||||
backend: 'wasm',
|
||||
wasmPath: 'node_modules/@tensorflow/tfjs-backend-wasm/dist/',
|
||||
// wasmPath: `cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf.version_core}/dist/`,
|
||||
// wasmPath: 'node_modules/@tensorflow/tfjs-backend-wasm/dist/',
|
||||
wasmPath: `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf.version_core}/dist/`,
|
||||
debug: false,
|
||||
async: false,
|
||||
face: {
|
||||
|
|
@ -38,7 +39,9 @@ async function main() {
|
|||
wasm.setWasmPaths(config.wasmPath);
|
||||
await tf.setBackend('wasm');
|
||||
await tf.ready();
|
||||
test(Human.Human, config);
|
||||
H.env.updateBackend();
|
||||
log.info(H.env.wasm);
|
||||
test(H.Human, config);
|
||||
}
|
||||
|
||||
main();
|
||||
|
|
|
|||
|
|
@ -1,5 +1,6 @@
|
|||
process.env.TF_CPP_MIN_LOG_LEVEL = '2';
|
||||
const Human = require('../dist/human.node.js').default;
|
||||
|
||||
const H = require('../dist/human.node.js');
|
||||
const test = require('./test-main.js').test;
|
||||
|
||||
const config = {
|
||||
|
|
@ -25,4 +26,8 @@ const config = {
|
|||
filter: { enabled: false },
|
||||
};
|
||||
|
||||
test(Human, config);
|
||||
async function main() {
|
||||
test(H.Human, config);
|
||||
}
|
||||
|
||||
main();
|
||||
|
|
|
|||
1752
test/test.log
1752
test/test.log
File diff suppressed because it is too large
Load Diff
File diff suppressed because one or more lines are too long
|
|
@ -47,6 +47,7 @@
|
|||
<a href="Env.html#offscreen" class="tsd-index-link tsd-kind-property tsd-parent-kind-class"><svg class="tsd-kind-icon" width="24" height="24" viewBox="0 0 24 24"><use href="#icon-1024-path"></use><use href="#icon-1024-text"></use></svg><span>offscreen</span></a>
|
||||
<a href="Env.html#perfadd" class="tsd-index-link tsd-kind-property tsd-parent-kind-class"><svg class="tsd-kind-icon" width="24" height="24" viewBox="0 0 24 24"><use href="#icon-1024-path"></use><use href="#icon-1024-text"></use></svg><span>perfadd</span></a>
|
||||
<a href="Env.html#platform" class="tsd-index-link tsd-kind-property tsd-parent-kind-class"><svg class="tsd-kind-icon" width="24" height="24" viewBox="0 0 24 24"><use href="#icon-1024-path"></use><use href="#icon-1024-text"></use></svg><span>platform</span></a>
|
||||
<a href="Env.html#tensorflow" class="tsd-index-link tsd-kind-property tsd-parent-kind-class"><svg class="tsd-kind-icon" width="24" height="24" viewBox="0 0 24 24"><use href="#icon-1024-path"></use><use href="#icon-1024-text"></use></svg><span>tensorflow</span></a>
|
||||
<a href="Env.html#tfjs" class="tsd-index-link tsd-kind-property tsd-parent-kind-class"><svg class="tsd-kind-icon" width="24" height="24" viewBox="0 0 24 24"><use href="#icon-1024-path"></use><use href="#icon-1024-text"></use></svg><span>tfjs</span></a>
|
||||
<a href="Env.html#wasm" class="tsd-index-link tsd-kind-property tsd-parent-kind-class"><svg class="tsd-kind-icon" width="24" height="24" viewBox="0 0 24 24"><use href="#icon-1024-path"></use><use href="#icon-1024-text"></use></svg><span>wasm</span></a>
|
||||
<a href="Env.html#webgl" class="tsd-index-link tsd-kind-property tsd-parent-kind-class"><svg class="tsd-kind-icon" width="24" height="24" viewBox="0 0 24 24"><use href="#icon-1024-path"></use><use href="#icon-1024-text"></use></svg><span>webgl</span></a>
|
||||
|
|
@ -67,7 +68,7 @@
|
|||
<li class="tsd-description">
|
||||
<h4 class="tsd-returns-title">Returns <a href="Env.html" class="tsd-signature-type" data-tsd-kind="Class">Env</a></h4><aside class="tsd-sources">
|
||||
<ul>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L81">src/util/env.ts:81</a></li></ul></aside></li></ul></section></section>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L85">src/util/env.ts:85</a></li></ul></aside></li></ul></section></section>
|
||||
<section class="tsd-panel-group tsd-member-group">
|
||||
<h2>Properties</h2>
|
||||
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a id="Canvas" class="tsd-anchor"></a>
|
||||
|
|
@ -76,21 +77,21 @@
|
|||
<div class="tsd-comment tsd-typography"><p>MonkeyPatch for Canvas</p>
|
||||
</div><aside class="tsd-sources">
|
||||
<ul>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L75">src/util/env.ts:75</a></li></ul></aside></section>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L79">src/util/env.ts:79</a></li></ul></aside></section>
|
||||
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a id="Image" class="tsd-anchor"></a>
|
||||
<h3 class="tsd-anchor-link"><span>Image</span><a href="#Image" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
|
||||
<div class="tsd-signature">Image<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">undefined</span></div>
|
||||
<div class="tsd-comment tsd-typography"><p>MonkeyPatch for Image</p>
|
||||
</div><aside class="tsd-sources">
|
||||
<ul>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L77">src/util/env.ts:77</a></li></ul></aside></section>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L81">src/util/env.ts:81</a></li></ul></aside></section>
|
||||
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a id="ImageData" class="tsd-anchor"></a>
|
||||
<h3 class="tsd-anchor-link"><span>Image<wbr/>Data</span><a href="#ImageData" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
|
||||
<div class="tsd-signature">Image<wbr/>Data<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">undefined</span></div>
|
||||
<div class="tsd-comment tsd-typography"><p>MonkeyPatch for ImageData</p>
|
||||
</div><aside class="tsd-sources">
|
||||
<ul>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L79">src/util/env.ts:79</a></li></ul></aside></section>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L83">src/util/env.ts:83</a></li></ul></aside></section>
|
||||
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a id="agent" class="tsd-anchor"></a>
|
||||
<h3 class="tsd-anchor-link"><span>agent</span><a href="#agent" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
|
||||
<div class="tsd-signature">agent<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> = ''</span></div>
|
||||
|
|
@ -125,7 +126,7 @@
|
|||
<li class="tsd-parameter">
|
||||
<h5>model<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">string</span></h5></li></ul></div><aside class="tsd-sources">
|
||||
<ul>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L65">src/util/env.ts:65</a></li></ul></aside></section>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L69">src/util/env.ts:69</a></li></ul></aside></section>
|
||||
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a id="filter" class="tsd-anchor"></a>
|
||||
<h3 class="tsd-anchor-link"><span>filter</span><a href="#filter" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
|
||||
<div class="tsd-signature">filter<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">boolean</span></div>
|
||||
|
|
@ -146,7 +147,7 @@
|
|||
<div class="tsd-comment tsd-typography"><p>List of supported kernels for current backend</p>
|
||||
</div><aside class="tsd-sources">
|
||||
<ul>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L73">src/util/env.ts:73</a></li></ul></aside></section>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L77">src/util/env.ts:77</a></li></ul></aside></section>
|
||||
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a id="node" class="tsd-anchor"></a>
|
||||
<h3 class="tsd-anchor-link"><span>node</span><a href="#node" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
|
||||
<div class="tsd-signature">node<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div>
|
||||
|
|
@ -175,6 +176,18 @@
|
|||
</div><aside class="tsd-sources">
|
||||
<ul>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L13">src/util/env.ts:13</a></li></ul></aside></section>
|
||||
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a id="tensorflow" class="tsd-anchor"></a>
|
||||
<h3 class="tsd-anchor-link"><span>tensorflow</span><a href="#tensorflow" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
|
||||
<div class="tsd-signature">tensorflow<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">{ </span>version<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol"> = ...</span></div>
|
||||
<div class="tsd-comment tsd-typography"><p>If using tfjs-node get version of underlying tensorflow shared library</p>
|
||||
</div>
|
||||
<div class="tsd-type-declaration">
|
||||
<h4>Type declaration</h4>
|
||||
<ul class="tsd-parameters">
|
||||
<li class="tsd-parameter">
|
||||
<h5>version<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">string</span></h5></li></ul></div><aside class="tsd-sources">
|
||||
<ul>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L31">src/util/env.ts:31</a></li></ul></aside></section>
|
||||
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a id="tfjs" class="tsd-anchor"></a>
|
||||
<h3 class="tsd-anchor-link"><span>tfjs</span><a href="#tfjs" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
|
||||
<div class="tsd-signature">tfjs<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">{ </span>version<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> }</span></div>
|
||||
|
|
@ -204,7 +217,7 @@
|
|||
<li class="tsd-parameter">
|
||||
<h5>supported<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">boolean</span></h5></li></ul></div><aside class="tsd-sources">
|
||||
<ul>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L31">src/util/env.ts:31</a></li></ul></aside></section>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L35">src/util/env.ts:35</a></li></ul></aside></section>
|
||||
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a id="webgl" class="tsd-anchor"></a>
|
||||
<h3 class="tsd-anchor-link"><span>webgl</span><a href="#webgl" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
|
||||
<div class="tsd-signature">webgl<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">{ </span>backend<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol">; </span>renderer<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>supported<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol">; </span>version<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol"> = ...</span></div>
|
||||
|
|
@ -222,7 +235,7 @@
|
|||
<li class="tsd-parameter">
|
||||
<h5>version<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">string</span></h5></li></ul></div><aside class="tsd-sources">
|
||||
<ul>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L43">src/util/env.ts:43</a></li></ul></aside></section>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L47">src/util/env.ts:47</a></li></ul></aside></section>
|
||||
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a id="webgpu" class="tsd-anchor"></a>
|
||||
<h3 class="tsd-anchor-link"><span>webgpu</span><a href="#webgpu" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
|
||||
<div class="tsd-signature">webgpu<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">{ </span>adapter<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>backend<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol">; </span>supported<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol"> = ...</span></div>
|
||||
|
|
@ -238,7 +251,7 @@
|
|||
<li class="tsd-parameter">
|
||||
<h5>supported<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">boolean</span></h5></li></ul></div><aside class="tsd-sources">
|
||||
<ul>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L55">src/util/env.ts:55</a></li></ul></aside></section>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L59">src/util/env.ts:59</a></li></ul></aside></section>
|
||||
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a id="worker" class="tsd-anchor"></a>
|
||||
<h3 class="tsd-anchor-link"><span>worker</span><a href="#worker" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
|
||||
<div class="tsd-signature">worker<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div>
|
||||
|
|
@ -257,7 +270,7 @@
|
|||
</div>
|
||||
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
|
||||
<ul>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L114">src/util/env.ts:114</a></li></ul></aside></li></ul></section>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L119">src/util/env.ts:119</a></li></ul></aside></li></ul></section>
|
||||
<section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a id="updateCPU" class="tsd-anchor"></a>
|
||||
<h3 class="tsd-anchor-link"><span>updateCPU</span><a href="#updateCPU" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
|
||||
<ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class">
|
||||
|
|
@ -267,7 +280,7 @@
|
|||
</div>
|
||||
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
|
||||
<ul>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L151">src/util/env.ts:151</a></li></ul></aside></li></ul></section></section></div>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L157">src/util/env.ts:157</a></li></ul></aside></li></ul></section></section></div>
|
||||
<div class="col-4 col-menu menu-sticky-wrap menu-highlight">
|
||||
<div class="tsd-navigation settings">
|
||||
<details class="tsd-index-accordion"><summary class="tsd-accordion-summary">
|
||||
|
|
@ -309,6 +322,7 @@
|
|||
<li class="tsd-kind-property tsd-parent-kind-class"><a href="Env.html#offscreen" class="tsd-index-link"><svg class="tsd-kind-icon" width="24" height="24" viewBox="0 0 24 24"><use href="#icon-1024-path"></use><use href="#icon-1024-text"></use></svg>offscreen</a></li>
|
||||
<li class="tsd-kind-property tsd-parent-kind-class"><a href="Env.html#perfadd" class="tsd-index-link"><svg class="tsd-kind-icon" width="24" height="24" viewBox="0 0 24 24"><use href="#icon-1024-path"></use><use href="#icon-1024-text"></use></svg>perfadd</a></li>
|
||||
<li class="tsd-kind-property tsd-parent-kind-class"><a href="Env.html#platform" class="tsd-index-link"><svg class="tsd-kind-icon" width="24" height="24" viewBox="0 0 24 24"><use href="#icon-1024-path"></use><use href="#icon-1024-text"></use></svg>platform</a></li>
|
||||
<li class="tsd-kind-property tsd-parent-kind-class"><a href="Env.html#tensorflow" class="tsd-index-link"><svg class="tsd-kind-icon" width="24" height="24" viewBox="0 0 24 24"><use href="#icon-1024-path"></use><use href="#icon-1024-text"></use></svg>tensorflow</a></li>
|
||||
<li class="tsd-kind-property tsd-parent-kind-class"><a href="Env.html#tfjs" class="tsd-index-link"><svg class="tsd-kind-icon" width="24" height="24" viewBox="0 0 24 24"><use href="#icon-1024-path"></use><use href="#icon-1024-text"></use></svg>tfjs</a></li>
|
||||
<li class="tsd-kind-property tsd-parent-kind-class"><a href="Env.html#wasm" class="tsd-index-link"><svg class="tsd-kind-icon" width="24" height="24" viewBox="0 0 24 24"><use href="#icon-1024-path"></use><use href="#icon-1024-text"></use></svg>wasm</a></li>
|
||||
<li class="tsd-kind-property tsd-parent-kind-class"><a href="Env.html#webgl" class="tsd-index-link"><svg class="tsd-kind-icon" width="24" height="24" viewBox="0 0 24 24"><use href="#icon-1024-path"></use><use href="#icon-1024-text"></use></svg>webgl</a></li>
|
||||
|
|
|
|||
|
|
@ -15,7 +15,7 @@
|
|||
<h1>Variable env<code class="tsd-tag ts-flagConst">Const</code> </h1></div>
|
||||
<div class="tsd-signature">env<span class="tsd-signature-symbol">:</span> <a href="../classes/Env.html" class="tsd-signature-type" data-tsd-kind="Class">Env</a><span class="tsd-signature-symbol"> = ...</span></div><aside class="tsd-sources">
|
||||
<ul>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L170">src/util/env.ts:170</a></li></ul></aside></div>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/util/env.ts#L176">src/util/env.ts:176</a></li></ul></aside></div>
|
||||
<div class="col-4 col-menu menu-sticky-wrap menu-highlight">
|
||||
<div class="tsd-navigation settings">
|
||||
<details class="tsd-index-accordion"><summary class="tsd-accordion-summary">
|
||||
|
|
|
|||
|
|
@ -449,6 +449,10 @@ export declare class Env {
|
|||
offscreen: undefined | boolean;
|
||||
/** Are performance counter instant values or additive */
|
||||
perfadd: boolean;
|
||||
/** If using tfjs-node get version of underlying tensorflow shared library */
|
||||
tensorflow: {
|
||||
version: undefined | string;
|
||||
};
|
||||
/** WASM detected capabilities */
|
||||
wasm: {
|
||||
supported: undefined | boolean;
|
||||
|
|
|
|||
Loading…
Reference in New Issue