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swtich to tfjs source import

pull/50/head
Vladimir Mandic 2020-11-17 10:18:15 -05:00
parent cad783c6fc
commit 1efbc5c69d
30 changed files with 17513 additions and 4772 deletions
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"path": "node_modules/@tensorflow/tfjs-backend-wasm/dist/index.js" "path": "node_modules/@tensorflow/tfjs-backend-wasm/dist/index.js"
@ -1515,7 +1652,7 @@
"dist/human.node.js.map": { "dist/human.node.js.map": {
"imports": [], "imports": [],
"inputs": {}, "inputs": {},
"bytes": 7188678 "bytes": 5797367
}, },
"dist/human.node.js": { "dist/human.node.js": {
"imports": [], "imports": [],
@ -1524,12 +1661,51 @@
"node_modules/node-fetch/lib/index.mjs": { "node_modules/node-fetch/lib/index.mjs": {
"bytesInOutput": 25323 "bytesInOutput": 25323
}, },
"node_modules/@tensorflow/tfjs/dist/tf.es2017.js": {
"bytesInOutput": 1380779
},
"node_modules/@tensorflow/tfjs-core/dist/tf-core.node.js": { "node_modules/@tensorflow/tfjs-core/dist/tf-core.node.js": {
"bytesInOutput": 462681 "bytesInOutput": 462681
}, },
"node_modules/@tensorflow/tfjs-layers/dist/tf-layers.node.js": {
"bytesInOutput": 362887
},
"node_modules/@tensorflow/tfjs-converter/dist/tf-converter.node.js": {
"bytesInOutput": 159012
},
"node_modules/@tensorflow/tfjs-data/dist/tf-data.node.js": {
"bytesInOutput": 74518
},
"node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/alea.js": {
"bytesInOutput": 1304
},
"node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/xor128.js": {
"bytesInOutput": 1065
},
"node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/xorwow.js": {
"bytesInOutput": 1170
},
"node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/xorshift7.js": {
"bytesInOutput": 1324
},
"node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/xor4096.js": {
"bytesInOutput": 1521
},
"node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/tychei.js": {
"bytesInOutput": 1191
},
"node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/seedrandom.js": {
"bytesInOutput": 2593
},
"node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/index.js": {
"bytesInOutput": 383
},
"node_modules/@tensorflow/tfjs-backend-cpu/dist/tf-backend-cpu.node.js": {
"bytesInOutput": 144570
},
"node_modules/@tensorflow/tfjs-backend-webgl/dist/tf-backend-webgl.node.js": {
"bytesInOutput": 372092
},
"node_modules/@tensorflow/tfjs/dist/index.js": {
"bytesInOutput": 979
},
"node_modules/@tensorflow/tfjs-backend-wasm/wasm-out/tfjs-backend-wasm-threaded-simd.js": { "node_modules/@tensorflow/tfjs-backend-wasm/wasm-out/tfjs-backend-wasm-threaded-simd.js": {
"bytesInOutput": 73037 "bytesInOutput": 73037
}, },
@ -1537,7 +1713,7 @@
"bytesInOutput": 27645 "bytesInOutput": 27645
}, },
"src/face/blazeface.js": { "src/face/blazeface.js": {
"bytesInOutput": 5451 "bytesInOutput": 5454
}, },
"src/face/box.js": { "src/face/box.js": {
"bytesInOutput": 1673 "bytesInOutput": 1673
@ -1552,22 +1728,22 @@
"bytesInOutput": 9799 "bytesInOutput": 9799
}, },
"src/face/facemesh.js": { "src/face/facemesh.js": {
"bytesInOutput": 1942 "bytesInOutput": 1948
}, },
"src/profile.js": { "src/profile.js": {
"bytesInOutput": 897 "bytesInOutput": 897
}, },
"src/age/age.js": { "src/age/age.js": {
"bytesInOutput": 1212 "bytesInOutput": 1215
}, },
"src/gender/gender.js": { "src/gender/gender.js": {
"bytesInOutput": 2032 "bytesInOutput": 2035
}, },
"src/emotion/emotion.js": { "src/emotion/emotion.js": {
"bytesInOutput": 1884 "bytesInOutput": 1887
}, },
"src/embedding/embedding.js": { "src/embedding/embedding.js": {
"bytesInOutput": 1407 "bytesInOutput": 1408
}, },
"src/body/modelBase.js": { "src/body/modelBase.js": {
"bytesInOutput": 642 "bytesInOutput": 642
@ -1597,7 +1773,7 @@
"bytesInOutput": 1963 "bytesInOutput": 1963
}, },
"src/body/modelPoseNet.js": { "src/body/modelPoseNet.js": {
"bytesInOutput": 1679 "bytesInOutput": 1682
}, },
"src/body/posenet.js": { "src/body/posenet.js": {
"bytesInOutput": 889 "bytesInOutput": 889
@ -1612,7 +1788,7 @@
"bytesInOutput": 127039 "bytesInOutput": 127039
}, },
"src/hand/handpose.js": { "src/hand/handpose.js": {
"bytesInOutput": 1828 "bytesInOutput": 1834
}, },
"src/gesture.js": { "src/gesture.js": {
"bytesInOutput": 2332 "bytesInOutput": 2332
@ -1624,10 +1800,16 @@
"bytesInOutput": 4063 "bytesInOutput": 4063
}, },
"src/human.js": { "src/human.js": {
"bytesInOutput": 10622 "bytesInOutput": 10635
},
"node_modules/@tensorflow/tfjs/dist/version.js": {
"bytesInOutput": 22
}, },
"src/tf.js": { "src/tf.js": {
"bytesInOutput": 80 "bytesInOutput": 36
},
"node_modules/@tensorflow/tfjs-backend-wasm/dist/index.js": {
"bytesInOutput": 159
}, },
"node_modules/@tensorflow/tfjs-backend-wasm/dist/register_all_kernels.js": { "node_modules/@tensorflow/tfjs-backend-wasm/dist/register_all_kernels.js": {
"bytesInOutput": 1298 "bytesInOutput": 1298
@ -1879,7 +2061,7 @@
"bytesInOutput": 566 "bytesInOutput": 566
}, },
"node_modules/@tensorflow/tfjs-backend-wasm/dist/backend_wasm.js": { "node_modules/@tensorflow/tfjs-backend-wasm/dist/backend_wasm.js": {
"bytesInOutput": 6588 "bytesInOutput": 6972
}, },
"node_modules/@tensorflow/tfjs-backend-wasm/wasm-out/tfjs-backend-wasm-threaded-simd.worker.js": { "node_modules/@tensorflow/tfjs-backend-wasm/wasm-out/tfjs-backend-wasm-threaded-simd.worker.js": {
"bytesInOutput": 3432 "bytesInOutput": 3432
@ -1887,8 +2069,8 @@
"node_modules/@tensorflow/tfjs-backend-wasm/dist/base.js": { "node_modules/@tensorflow/tfjs-backend-wasm/dist/base.js": {
"bytesInOutput": 0 "bytesInOutput": 0
}, },
"node_modules/@tensorflow/tfjs-backend-wasm/dist/index.js": { "node_modules/@tensorflow/tfjs-backend-wasm/dist/version.js": {
"bytesInOutput": 0 "bytesInOutput": 23
}, },
"src/hand/box.js": { "src/hand/box.js": {
"bytesInOutput": 1979 "bytesInOutput": 1979
@ -1903,7 +2085,7 @@
"bytesInOutput": 21 "bytesInOutput": 21
} }
}, },
"bytes": 2308357 "bytes": 2052772
} }
} }
} }

6
package-lock.json generated
View File

@ -821,9 +821,9 @@
} }
}, },
"esbuild": { "esbuild": {
"version": "0.8.8", "version": "0.8.9",
"resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.8.8.tgz", "resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.8.9.tgz",
"integrity": "sha512-1Wo7L5Y6FpUUalF2APCh9cJi+IZ60jU9IBpTZSXA7jj3HItpAxPTmeIqGsaRW66rjg8SU6rvLnvQpgWqkCkCeA==", "integrity": "sha512-HAV4mKJqos0L8g6pL7evrw/ZPm478yFNtkuYhqJAeTrIW40XtBxhHrt4Pm2faYeRB8K6nA7dTDgmF+O0e9JCXQ==",
"dev": true "dev": true
}, },
"escalade": { "escalade": {

2
package.json
View File

@ -28,7 +28,7 @@
"@vladmandic/pilogger": "^0.2.7", "@vladmandic/pilogger": "^0.2.7",
"chokidar": "^3.4.3", "chokidar": "^3.4.3",
"dayjs": "^1.9.6", "dayjs": "^1.9.6",
"esbuild": "^0.8.8", "esbuild": "^0.8.9",
"eslint": "^7.13.0", "eslint": "^7.13.0",
"eslint-config-airbnb-base": "^14.2.1", "eslint-config-airbnb-base": "^14.2.1",
"eslint-plugin-import": "^2.22.1", "eslint-plugin-import": "^2.22.1",

4
src/age/age.js
View File

@ -1,4 +1,4 @@
import { tf, loadGraphModel } from '../tf.js'; import { tf } from '../tf.js';
import * as profile from '../profile.js'; import * as profile from '../profile.js';
const models = {}; const models = {};
@ -7,7 +7,7 @@ let frame = Number.MAX_SAFE_INTEGER;
async function load(config) { async function load(config) {
if (!models.age) { if (!models.age) {
models.age = await loadGraphModel(config.face.age.modelPath); models.age = await tf.loadGraphModel(config.face.age.modelPath);
// eslint-disable-next-line no-console // eslint-disable-next-line no-console
console.log(`Human: load model: ${config.face.age.modelPath.match(/\/(.*)\./)[1]}`); console.log(`Human: load model: ${config.face.age.modelPath.match(/\/(.*)\./)[1]}`);
} }

4
src/body/modelPoseNet.js
View File

@ -1,4 +1,4 @@
import { loadGraphModel } from '../tf.js'; import { tf } from '../tf.js';
import * as modelMobileNet from './modelMobileNet'; import * as modelMobileNet from './modelMobileNet';
import * as decodeMultiple from './decodeMultiple'; import * as decodeMultiple from './decodeMultiple';
import * as util from './util'; import * as util from './util';
@ -38,7 +38,7 @@ class PoseNet {
exports.PoseNet = PoseNet; exports.PoseNet = PoseNet;
async function load(config) { async function load(config) {
const graphModel = await loadGraphModel(config.body.modelPath); const graphModel = await tf.loadGraphModel(config.body.modelPath);
const mobilenet = new modelMobileNet.MobileNet(graphModel, this.outputStride); const mobilenet = new modelMobileNet.MobileNet(graphModel, this.outputStride);
// eslint-disable-next-line no-console // eslint-disable-next-line no-console
console.log(`Human: load model: ${config.body.modelPath.match(/\/(.*)\./)[1]}`); console.log(`Human: load model: ${config.body.modelPath.match(/\/(.*)\./)[1]}`);

4
src/embedding/embedding.js
View File

@ -1,4 +1,4 @@
import { tf, loadGraphModel } from '../tf.js'; import { tf } from '../tf.js';
import * as profile from '../profile.js'; import * as profile from '../profile.js';
// based on https://github.com/sirius-ai/MobileFaceNet_TF // based on https://github.com/sirius-ai/MobileFaceNet_TF
@ -8,7 +8,7 @@ const models = {};
async function load(config) { async function load(config) {
if (!models.embedding) { if (!models.embedding) {
models.embedding = await loadGraphModel(config.face.embedding.modelPath); models.embedding = await tf.loadGraphModel(config.face.embedding.modelPath);
// eslint-disable-next-line no-console // eslint-disable-next-line no-console
console.log(`Human: load model: ${config.face.embedding.modelPath.match(/\/(.*)\./)[1]}`); console.log(`Human: load model: ${config.face.embedding.modelPath.match(/\/(.*)\./)[1]}`);
} }

4
src/emotion/emotion.js
View File

@ -1,4 +1,4 @@
import { tf, loadGraphModel } from '../tf.js'; import { tf } from '../tf.js';
import * as profile from '../profile.js'; import * as profile from '../profile.js';
const annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surpise', 'neutral']; const annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surpise', 'neutral'];
@ -12,7 +12,7 @@ const scale = 1; // score multiplication factor
async function load(config) { async function load(config) {
if (!models.emotion) { if (!models.emotion) {
models.emotion = await loadGraphModel(config.face.emotion.modelPath); models.emotion = await tf.loadGraphModel(config.face.emotion.modelPath);
// eslint-disable-next-line no-console // eslint-disable-next-line no-console
console.log(`Human: load model: ${config.face.emotion.modelPath.match(/\/(.*)\./)[1]}`); console.log(`Human: load model: ${config.face.emotion.modelPath.match(/\/(.*)\./)[1]}`);
} }

4
src/face/blazeface.js
View File

@ -1,4 +1,4 @@
import { tf, loadGraphModel } from '../tf.js'; import { tf } from '../tf.js';
const NUM_LANDMARKS = 6; const NUM_LANDMARKS = 6;
@ -164,7 +164,7 @@ class BlazeFaceModel {
} }
async function load(config) { async function load(config) {
const blazeface = await loadGraphModel(config.detector.modelPath, { fromTFHub: config.detector.modelPath.includes('tfhub.dev') }); const blazeface = await tf.loadGraphModel(config.detector.modelPath, { fromTFHub: config.detector.modelPath.includes('tfhub.dev') });
const model = new BlazeFaceModel(blazeface, config); const model = new BlazeFaceModel(blazeface, config);
// eslint-disable-next-line no-console // eslint-disable-next-line no-console
console.log(`Human: load model: ${config.detector.modelPath.match(/\/(.*)\./)[1]}`); console.log(`Human: load model: ${config.detector.modelPath.match(/\/(.*)\./)[1]}`);

6
src/face/facemesh.js
View File

@ -1,4 +1,4 @@
import { tf, loadGraphModel } from '../tf.js'; import { tf } from '../tf.js';
import * as blazeface from './blazeface.js'; import * as blazeface from './blazeface.js';
import * as pipe from './facepipeline.js'; import * as pipe from './facepipeline.js';
import * as coords from './coords.js'; import * as coords from './coords.js';
@ -42,8 +42,8 @@ class MediaPipeFaceMesh {
async function load(config) { async function load(config) {
const models = await Promise.all([ const models = await Promise.all([
blazeface.load(config), blazeface.load(config),
loadGraphModel(config.mesh.modelPath, { fromTFHub: config.mesh.modelPath.includes('tfhub.dev') }), tf.loadGraphModel(config.mesh.modelPath, { fromTFHub: config.mesh.modelPath.includes('tfhub.dev') }),
loadGraphModel(config.iris.modelPath, { fromTFHub: config.iris.modelPath.includes('tfhub.dev') }), tf.loadGraphModel(config.iris.modelPath, { fromTFHub: config.iris.modelPath.includes('tfhub.dev') }),
]); ]);
const faceMesh = new MediaPipeFaceMesh(models[0], models[1], models[2], config); const faceMesh = new MediaPipeFaceMesh(models[0], models[1], models[2], config);
// eslint-disable-next-line no-console // eslint-disable-next-line no-console

4
src/gender/gender.js
View File

@ -1,4 +1,4 @@
import { tf, loadGraphModel } from '../tf.js'; import { tf } from '../tf.js';
import * as profile from '../profile.js'; import * as profile from '../profile.js';
const models = {}; const models = {};
@ -11,7 +11,7 @@ const rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when
async function load(config) { async function load(config) {
if (!models.gender) { if (!models.gender) {
models.gender = await loadGraphModel(config.face.gender.modelPath); models.gender = await tf.loadGraphModel(config.face.gender.modelPath);
alternative = models.gender.inputs[0].shape[3] === 1; alternative = models.gender.inputs[0].shape[3] === 1;
// eslint-disable-next-line no-console // eslint-disable-next-line no-console
console.log(`Human: load model: ${config.face.gender.modelPath.match(/\/(.*)\./)[1]}`); console.log(`Human: load model: ${config.face.gender.modelPath.match(/\/(.*)\./)[1]}`);

6
src/hand/handpose.js
View File

@ -16,7 +16,7 @@
*/ */
// https://storage.googleapis.com/tfjs-models/demos/handpose/index.html // https://storage.googleapis.com/tfjs-models/demos/handpose/index.html
import { loadGraphModel } from '../tf.js'; import { tf } from '../tf.js';
import * as handdetector from './handdetector'; import * as handdetector from './handdetector';
import * as pipeline from './handpipeline'; import * as pipeline from './handpipeline';
import * as anchors from './anchors'; import * as anchors from './anchors';
@ -69,8 +69,8 @@ exports.HandPose = HandPose;
async function load(config) { async function load(config) {
const [handDetectorModel, handPoseModel] = await Promise.all([ const [handDetectorModel, handPoseModel] = await Promise.all([
loadGraphModel(config.detector.modelPath, { fromTFHub: config.detector.modelPath.includes('tfhub.dev') }), tf.loadGraphModel(config.detector.modelPath, { fromTFHub: config.detector.modelPath.includes('tfhub.dev') }),
loadGraphModel(config.skeleton.modelPath, { fromTFHub: config.skeleton.modelPath.includes('tfhub.dev') }), tf.loadGraphModel(config.skeleton.modelPath, { fromTFHub: config.skeleton.modelPath.includes('tfhub.dev') }),
]); ]);
const detector = new handdetector.HandDetector(handDetectorModel, config.inputSize, anchors.anchors); const detector = new handdetector.HandDetector(handDetectorModel, config.inputSize, anchors.anchors);
const pipe = new pipeline.HandPipeline(detector, handPoseModel, config.inputSize); const pipe = new pipeline.HandPipeline(detector, handPoseModel, config.inputSize);

4
src/human.js
View File

@ -1,4 +1,4 @@
import { tf, setWasmPaths } from './tf.js'; import { tf, wasm } from './tf.js';
import * as facemesh from './face/facemesh.js'; import * as facemesh from './face/facemesh.js';
import * as age from './age/age.js'; import * as age from './age/age.js';
import * as gender from './gender/gender.js'; import * as gender from './gender/gender.js';
@ -172,7 +172,7 @@ class Human {
if (this.config.backend === 'wasm') { if (this.config.backend === 'wasm') {
this.log('settings wasm path:', this.config.wasmPath); this.log('settings wasm path:', this.config.wasmPath);
setWasmPaths(this.config.wasmPath); wasm.setWasmPaths(this.config.wasmPath);
const simd = await tf.env().getAsync('WASM_HAS_SIMD_SUPPORT'); const simd = await tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');
if (!simd) this.log('warning: wasm simd support is not enabled'); if (!simd) this.log('warning: wasm simd support is not enabled');
} }

31
src/tf.js
View File

@ -1,29 +1,4 @@
// from esm bundles: bundle 3.3M // wrapper to load tfjs in a single place so version can be changed quickly
import * as tf from '@tensorflow/tfjs/dist/tf.es2017.js';
import { setWasmPaths } from '@tensorflow/tfjs-backend-wasm/dist/index.js';
const loadGraphModel = tf.loadGraphModel; export * as tf from '@tensorflow/tfjs/dist/index.js';
// const setWasmPaths = tf.setWasmPaths; export * as wasm from '@tensorflow/tfjs-backend-wasm/dist/index.js';
export { tf, loadGraphModel, setWasmPaths };
// modular: bundle 4.2M
/*
import * as tf from '@tensorflow/tfjs-core/dist/tf-core.es2017.js';
import { loadGraphModel } from '@tensorflow/tfjs-converter/dist/tf-converter.es2017.js';
import * as tfCPU from '@tensorflow/tfjs-backend-cpu/dist/tf-backend-cpu.es2017.js';
import * as tfWebGL from '@tensorflow/tfjs-backend-webgl/dist/tf-backend-webgl.es2017.js';
import { setWasmPaths, version_wasm } from '@tensorflow/tfjs-backend-wasm/dist/index.js';
const version = { core: tf.version, cpu: tfCPU.version_cpu, webgl: tfWebGL.version_webgl, wasm: version_wasm };
export { tf, setWasmPaths, loadGraphModel, version };
*/
// custom: bundle 3.4M
/*
import * as tf from '../../../dev-clone/tfjs/tfjs/dist/index.js';
import { setWasmPaths } from '@tensorflow/tfjs-backend-wasm/dist/index.js';
const loadGraphModel = tf.loadGraphModel;
export { tf, setWasmPaths, loadGraphModel };
*/