diff --git a/CHANGELOG.md b/CHANGELOG.md index d6baed5b..57799137 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -9,8 +9,12 @@ ## Changelog -### **HEAD -> main** 2021/10/10 mandic00@live.com +### **HEAD -> main** 2021/10/12 mandic00@live.com + +### **release: 2.3.2** 2021/10/11 mandic00@live.com + +- major precision improvements to movenet and handtrack - image processing fixes - redesign body and hand caching and interpolation - demo default config cleanup diff --git a/TODO.md b/TODO.md index a72e256f..ad31cff3 100644 --- a/TODO.md +++ b/TODO.md @@ -6,16 +6,13 @@ ### Models -- Implement BlazePose end-to-end +- Optimize BlazePose +- Add Anti-Spoofing
### Backends -#### WebGL -- Optimize shader packing for WebGL backend: - - #### WASM - Backend WASM incorrect handling of `int32` tensors @@ -23,17 +20,9 @@ #### WebGPU -Implementation of WebGPU backend Experimental support only until support is officially added in Chromium - -- Evaluate WGSL vs GLSL for WebGPU -- Backend WebGPU missing kernel ops - -- Backend WebGPU incompatible with web workers - -- Backend WebGPU incompatible with sync read calls - - +- Performance issues: +
diff --git a/demo/facematch/facematch.js b/demo/facematch/facematch.js index 7af52403..d51f1b6a 100644 --- a/demo/facematch/facematch.js +++ b/demo/facematch/facematch.js @@ -12,13 +12,13 @@ const userConfig = { backend: 'wasm', async: false, warmup: 'none', - cacheSimilarity: 0, + cacheSensitivity: 0, debug: true, modelBasePath: '../../models/', // wasmPath: 'https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.9.0/dist/', face: { enabled: true, - detector: { rotation: true, return: true, maxDetected: 20 }, + detector: { rotation: true, return: true, maxDetected: 50 }, mesh: { enabled: true }, embedding: { enabled: false }, iris: { enabled: true }, @@ -120,7 +120,7 @@ async function SelectFaceCanvas(face) { ctx.font = 'small-caps 1rem "Lato"'; const start = performance.now(); const arr = db.map((rec) => rec.embedding); - const res = await human.match(face.embedding, arr); + const res = await human.match(current.embedding, arr); time += (performance.now() - start); if (res.similarity > minScore) ctx.fillText(`DB: ${(100 * res.similarity).toFixed(1)}% ${db[res.index].name}`, 4, canvas.height - 30); } @@ -226,7 +226,7 @@ async function main() { // could not dynamically enumerate images so using static list if (images.length === 0) { images = [ - 'ai-body.jpg', 'ai-upper.jpg', + 'ai-body.jpg', 'solvay1927.jpg', 'ai-upper.jpg', 'person-carolina.jpg', 'person-celeste.jpg', 'person-leila1.jpg', 'person-leila2.jpg', 'person-lexi.jpg', 'person-linda.jpg', 'person-nicole.jpg', 'person-tasia.jpg', 'person-tetiana.jpg', 'person-vlado1.jpg', 'person-vlado5.jpg', 'person-vlado.jpg', 'person-christina.jpg', 'person-lauren.jpg', 'group-1.jpg', 'group-2.jpg', 'group-3.jpg', 'group-4.jpg', 'group-5.jpg', 'group-6.jpg', 'group-7.jpg', @@ -243,6 +243,8 @@ async function main() { log('Discovered images:', images); } + // images = ['/samples/in/solvay1927.jpg']; + // download and analyze all images for (let i = 0; i < images.length; i++) await AddImageElement(i, images[i], images.length); diff --git a/demo/facematch/faces.json b/demo/facematch/faces.json index 50fdb06d..5853465f 100644 --- a/demo/facematch/faces.json +++ b/demo/facematch/faces.json @@ -87,5 +87,29 @@ {"name":"female model", "source":"/samples/in/daz3d-_emotions01.jpg", 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] diff --git a/demo/facematch/index.html b/demo/facematch/index.html index 01360436..8d4a8c96 100644 --- a/demo/facematch/index.html +++ b/demo/facematch/index.html @@ -1,8 +1,9 @@ + Human - + diff --git a/demo/index.js b/demo/index.js index ecb24dbd..14b09d95 100644 --- a/demo/index.js +++ b/demo/index.js @@ -146,7 +146,7 @@ let bench; let lastDetectedResult = {}; // helper function: async pause -// eslint-disable-next-line @typescript-eslint/no-unused-vars +// eslint-disable-next-line @typescript-eslint/no-unused-vars, no-unused-vars const delay = (ms) => new Promise((resolve) => setTimeout(resolve, ms)); // helper function: translates json to human readable string diff --git a/demo/manifest.webmanifest b/demo/manifest.webmanifest index 0a6f0e3a..4063680e 100644 --- a/demo/manifest.webmanifest +++ b/demo/manifest.webmanifest @@ -7,4 +7,4 @@ "display": "standalone", "background_color": "#000000", "theme_color": "#000000" -} \ No newline at end of file +} diff --git a/package.json b/package.json index c895a833..5cc43da6 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "@vladmandic/human", - "version": "2.3.2", + "version": "2.3.3", "description": "Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gesture Recognition", "sideEffects": false, "main": "dist/human.node.js", @@ -55,7 +55,6 @@ "tensorflow" ], "devDependencies": { - "@tensorflow/tfjs": "^3.9.0", "@tensorflow/tfjs-backend-cpu": "^3.9.0", "@tensorflow/tfjs-backend-wasm": "^3.9.0", "@tensorflow/tfjs-backend-webgl": "^3.9.0", @@ -64,21 +63,23 @@ "@tensorflow/tfjs-core": "^3.9.0", "@tensorflow/tfjs-data": "^3.9.0", "@tensorflow/tfjs-layers": "^3.9.0", - "@tensorflow/tfjs-node": "^3.9.0", "@tensorflow/tfjs-node-gpu": "^3.9.0", - "@types/node": "^16.10.3", - "@typescript-eslint/eslint-plugin": "^4.33.0", - "@typescript-eslint/parser": "^4.33.0", - "@vladmandic/build": "^0.5.3", + "@tensorflow/tfjs-node": "^3.9.0", + "@tensorflow/tfjs": "^3.9.0", + "@types/node": "^16.10.4", + "@typescript-eslint/eslint-plugin": "^5.0.0", + "@typescript-eslint/parser": "^5.0.0", + "@vladmandic/build": "^0.6.0", "@vladmandic/pilogger": "^0.3.3", "canvas": "^2.8.0", "dayjs": "^1.10.7", "esbuild": "^0.13.4", "eslint-config-airbnb-base": "^14.2.1", - "eslint-plugin-import": "^2.24.2", + "eslint-plugin-import": "^2.25.1", "eslint-plugin-json": "^3.1.0", "eslint-plugin-node": "^11.1.0", "eslint-plugin-promise": "^5.1.0", + "eslint": "8.0.0", "node-fetch": "^3.0.0", "rimraf": "^3.0.2", "seedrandom": "^3.0.5", @@ -87,6 +88,5 @@ "typescript": "4.4.3" }, "dependencies": { - "eslint": "7.32.0" } } diff --git a/samples/in/solvay1927.jpg b/samples/in/solvay1927.jpg new file mode 100644 index 00000000..de62b58b Binary files /dev/null and b/samples/in/solvay1927.jpg differ diff --git a/src/human.ts b/src/human.ts index f9ad0dfc..ce98ec71 100644 --- a/src/human.ts +++ b/src/human.ts @@ -227,7 +227,7 @@ export class Human { this.#numTensors = currentTensors; const leaked = currentTensors - previousTensors; if (leaked !== 0) log(...msg, leaked); - } + }; // quick sanity check on inputs /** @hidden */ @@ -241,7 +241,7 @@ export class Human { return 'backend not loaded'; } return null; - } + }; /** Reset configuration to default values */ reset(): void { @@ -350,7 +350,7 @@ export class Human { /** @hidden */ emit = (event: string) => { if (this.events && this.events.dispatchEvent) this.events?.dispatchEvent(new Event(event)); - } + }; /** Runs interpolation using last known result and returns smoothened result * Interpolation is based on time since last known result so can be called independently diff --git a/src/image/imagefx.ts b/src/image/imagefx.ts index 6ae23adf..62b01a62 100644 --- a/src/image/imagefx.ts +++ b/src/image/imagefx.ts @@ -5,6 +5,14 @@ import * as shaders from './imagefxshaders'; +const collect = (source, prefix, collection) => { + const r = new RegExp('\\b' + prefix + ' \\w+ (\\w+)', 'ig'); + source.replace(r, (match, name) => { + collection[name] = 0; + return match; + }); +}; + class GLProgram { uniform = {}; attribute = {}; @@ -20,21 +28,13 @@ class GLProgram { this.gl.linkProgram(this.id); if (!this.gl.getProgramParameter(this.id, this.gl.LINK_STATUS)) throw new Error(`filter: gl link failed: ${this.gl.getProgramInfoLog(this.id)}`); this.gl.useProgram(this.id); - this.collect(vertexSource, 'attribute', this.attribute); // Collect attributes + collect(vertexSource, 'attribute', this.attribute); // Collect attributes for (const a in this.attribute) this.attribute[a] = this.gl.getAttribLocation(this.id, a); - this.collect(vertexSource, 'uniform', this.uniform); // Collect uniforms - this.collect(fragmentSource, 'uniform', this.uniform); + collect(vertexSource, 'uniform', this.uniform); // Collect uniforms + collect(fragmentSource, 'uniform', this.uniform); for (const u in this.uniform) this.uniform[u] = this.gl.getUniformLocation(this.id, u); } - collect = (source, prefix, collection) => { - const r = new RegExp('\\b' + prefix + ' \\w+ (\\w+)', 'ig'); - source.replace(r, (match, name) => { - collection[name] = 0; - return match; - }); - }; - compile = (source, type): WebGLShader => { const shader = this.gl.createShader(type) as WebGLShader; this.gl.shaderSource(shader, source);