ambiser
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human
mirror of https://github.com/vladmandic/human
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reduced bundle size

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Vladimir Mandic 2020-11-12 12:17:57 -05:00
parent e78cbe7064
commit 544cac628f
19 changed files with 157102 additions and 252714 deletions
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96394
dist/demo-browser-index.js vendored
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dist/demo-browser-index.json vendored
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@ -23,7 +23,7 @@
"imports": []
},
"dist/human.esm.js": {
"bytes": 3443493,
"bytes": 2080824,
"imports": []
}
},
@ -31,25 +31,31 @@
"dist/demo-browser-index.js.map": {
"imports": [],
"inputs": {},
"bytes": 5414325
"bytes": 2844399
},
"dist/demo-browser-index.js": {
"imports": [],
"inputs": {
"dist/human.esm.js": {
"bytesInOutput": 3432788
"bytesInOutput": 1144406
},
"dist/human.esm.js": {
"bytesInOutput": 319699
},
"dist/human.esm.js": {
"bytesInOutput": 578472
},
"demo/draw.js": {
"bytesInOutput": 9599
},
"demo/menu.js": {
"bytesInOutput": 13813
"bytesInOutput": 13821
},
"demo/browser.js": {
"bytesInOutput": 17362
"bytesInOutput": 17394
}
},
"bytes": 3473684
"bytes": 2083513
}
}
}

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dist/human.esm-nobundle.js vendored
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@ -1347,7 +1347,7 @@ var require_gender = __commonJS((exports) => {
const confidence = Math.trunc(200 * Math.abs(data2[0] - 0.5)) / 100;
if (confidence > config2.face.gender.minConfidence) {
obj.gender = data2[0] <= 0.5 ? "female" : "male";
obj.confidence = confidence;
obj.confidence = Math.min(0.99, confidence);
}
}
}
@ -20867,7 +20867,7 @@ var require_image = __commonJS((exports) => {
});
// src/tf.js
import * as tf from "@tensorflow/tfjs/dist/tf.es2017.js";
import * as tf from "@tensorflow/tfjs/dist/index.js";
import {setWasmPaths} from "@tensorflow/tfjs-backend-wasm/dist/index.js";
const loadGraphModel = tf.loadGraphModel;
@ -23785,7 +23785,7 @@ var config_default = {
};
// package.json
var version = "0.8.6";
var version = "0.8.7";
// src/human.js
const disableSkipFrames = {
@ -23890,33 +23890,33 @@ class Human {
}
if (this.config.async) {
[
this.models.facemesh,
this.models.age,
this.models.gender,
this.models.emotion,
this.models.facemesh,
this.models.posenet,
this.models.handpose
] = await Promise.all([
this.models.age || (this.config.face.age.enabled ? age.load(this.config) : null),
this.models.gender || (this.config.face.gender.enabled ? gender.load(this.config) : null),
this.models.emotion || (this.config.face.emotion.enabled ? emotion.load(this.config) : null),
this.models.facemesh || (this.config.face.enabled ? facemesh.load(this.config.face) : null),
this.models.age || (this.config.face.enabled && this.config.face.age.enabled ? age.load(this.config) : null),
this.models.gender || (this.config.face.enabled && this.config.face.gender.enabled ? gender.load(this.config) : null),
this.models.emotion || (this.config.face.enabled && this.config.face.emotion.enabled ? emotion.load(this.config) : null),
this.models.posenet || (this.config.body.enabled ? posenet.load(this.config) : null),
this.models.handpose || (this.config.hand.enabled ? handpose.load(this.config.hand) : null)
]);
} else {
if (this.config.face.enabled && !this.models.facemesh)
this.models.facemesh = await facemesh.load(this.config.face);
if (this.config.body.enabled && !this.models.posenet)
this.models.posenet = await posenet.load(this.config);
if (this.config.hand.enabled && !this.models.handpose)
this.models.handpose = await handpose.load(this.config.hand);
if (this.config.face.enabled && this.config.face.age.enabled && !this.models.age)
this.models.age = await age.load(this.config);
if (this.config.face.enabled && this.config.face.gender.enabled && !this.models.gender)
this.models.gender = await gender.load(this.config);
if (this.config.face.enabled && this.config.face.emotion.enabled && !this.models.emotion)
this.models.emotion = await emotion.load(this.config);
if (this.config.body.enabled && !this.models.posenet)
this.models.posenet = await posenet.load(this.config);
if (this.config.hand.enabled && !this.models.handpose)
this.models.handpose = await handpose.load(this.config.hand);
}
const current = Math.trunc(now() - timeStamp);
if (current > (this.perf.load || 0))
@ -24025,6 +24025,13 @@ class Human {
}
return faceRes;
}
async image(input, userConfig = {}) {
this.state = "image";
this.config = mergeDeep(this.config, userConfig);
const process3 = image.process(input, this.config);
process3.tensor.dispose();
return process3.canvas;
}
async detect(input, userConfig = {}) {
this.state = "config";
let timeStamp;

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@ -216,7 +216,7 @@
"imports": []
},
"src/gender/gender.js": {
"bytes": 3193,
"bytes": 3209,
"imports": [
{
"path": "src/tf.js"
@ -289,7 +289,7 @@
"imports": []
},
"src/human.js": {
"bytes": 14460,
"bytes": 14787,
"imports": [
{
"path": "src/tf.js"
@ -349,7 +349,7 @@
"imports": []
},
"src/tf.js": {
"bytes": 1135,
"bytes": 1401,
"imports": []
}
},
@ -357,7 +357,7 @@
"dist/human.esm-nobundle.js.map": {
"imports": [],
"inputs": {},
"bytes": 768064
"bytes": 769567
},
"dist/human.esm-nobundle.js": {
"imports": [],
@ -390,7 +390,7 @@
"bytesInOutput": 1826
},
"src/gender/gender.js": {
"bytesInOutput": 2980
"bytesInOutput": 2996
},
"src/emotion/emotion.js": {
"bytesInOutput": 2697
@ -450,7 +450,7 @@
"bytesInOutput": 5382
},
"src/tf.js": {
"bytesInOutput": 174
"bytesInOutput": 170
},
"src/face/triangulation.js": {
"bytesInOutput": 17898
@ -477,13 +477,13 @@
"bytesInOutput": 23
},
"src/human.js": {
"bytesInOutput": 12010
"bytesInOutput": 12333
},
"src/human.js": {
"bytesInOutput": 0
}
},
"bytes": 418822
"bytes": 419157
}
}
}

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dist/human.node-nobundle.js vendored
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@ -1352,7 +1352,7 @@ var require_gender = __commonJS((exports2) => {
const confidence = Math.trunc(200 * Math.abs(data2[0] - 0.5)) / 100;
if (confidence > config2.face.gender.minConfidence) {
obj.gender = data2[0] <= 0.5 ? "female" : "male";
obj.confidence = confidence;
obj.confidence = Math.min(0.99, confidence);
}
}
}
@ -20877,7 +20877,7 @@ __export(exports, {
});
// src/tf.js
const tf = __toModule(require("@tensorflow/tfjs/dist/tf.es2017.js"));
const tf = __toModule(require("@tensorflow/tfjs/dist/index.js"));
const dist = __toModule(require("@tensorflow/tfjs-backend-wasm/dist/index.js"));
const loadGraphModel = tf.loadGraphModel;
@ -23795,7 +23795,7 @@ var config_default = {
};
// package.json
var version = "0.8.6";
var version = "0.8.7";
// src/human.js
const disableSkipFrames = {
@ -23900,33 +23900,33 @@ class Human {
}
if (this.config.async) {
[
this.models.facemesh,
this.models.age,
this.models.gender,
this.models.emotion,
this.models.facemesh,
this.models.posenet,
this.models.handpose
] = await Promise.all([
this.models.age || (this.config.face.age.enabled ? age.load(this.config) : null),
this.models.gender || (this.config.face.gender.enabled ? gender.load(this.config) : null),
this.models.emotion || (this.config.face.emotion.enabled ? emotion.load(this.config) : null),
this.models.facemesh || (this.config.face.enabled ? facemesh.load(this.config.face) : null),
this.models.age || (this.config.face.enabled && this.config.face.age.enabled ? age.load(this.config) : null),
this.models.gender || (this.config.face.enabled && this.config.face.gender.enabled ? gender.load(this.config) : null),
this.models.emotion || (this.config.face.enabled && this.config.face.emotion.enabled ? emotion.load(this.config) : null),
this.models.posenet || (this.config.body.enabled ? posenet.load(this.config) : null),
this.models.handpose || (this.config.hand.enabled ? handpose.load(this.config.hand) : null)
]);
} else {
if (this.config.face.enabled && !this.models.facemesh)
this.models.facemesh = await facemesh.load(this.config.face);
if (this.config.body.enabled && !this.models.posenet)
this.models.posenet = await posenet.load(this.config);
if (this.config.hand.enabled && !this.models.handpose)
this.models.handpose = await handpose.load(this.config.hand);
if (this.config.face.enabled && this.config.face.age.enabled && !this.models.age)
this.models.age = await age.load(this.config);
if (this.config.face.enabled && this.config.face.gender.enabled && !this.models.gender)
this.models.gender = await gender.load(this.config);
if (this.config.face.enabled && this.config.face.emotion.enabled && !this.models.emotion)
this.models.emotion = await emotion.load(this.config);
if (this.config.body.enabled && !this.models.posenet)
this.models.posenet = await posenet.load(this.config);
if (this.config.hand.enabled && !this.models.handpose)
this.models.handpose = await handpose.load(this.config.hand);
}
const current = Math.trunc(now() - timeStamp);
if (current > (this.perf.load || 0))
@ -24035,6 +24035,13 @@ class Human {
}
return faceRes;
}
async image(input, userConfig = {}) {
this.state = "image";
this.config = mergeDeep(this.config, userConfig);
const process3 = image.process(input, this.config);
process3.tensor.dispose();
return process3.canvas;
}
async detect(input, userConfig = {}) {
this.state = "config";
let timeStamp;

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dist/human.node.json vendored
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@ -216,7 +216,7 @@
"imports": []
},
"src/gender/gender.js": {
"bytes": 3193,
"bytes": 3209,
"imports": [
{
"path": "src/tf.js"
@ -289,7 +289,7 @@
"imports": []
},
"src/human.js": {
"bytes": 14460,
"bytes": 14787,
"imports": [
{
"path": "src/tf.js"
@ -349,7 +349,7 @@
"imports": []
},
"src/tf.js": {
"bytes": 1135,
"bytes": 1401,
"imports": []
}
},
@ -357,7 +357,7 @@
"dist/human.node-nobundle.js.map": {
"imports": [],
"inputs": {},
"bytes": 782976
"bytes": 784814
},
"dist/human.node-nobundle.js": {
"imports": [],
@ -390,7 +390,7 @@
"bytesInOutput": 1829
},
"src/gender/gender.js": {
"bytesInOutput": 2983
"bytesInOutput": 2999
},
"src/emotion/emotion.js": {
"bytesInOutput": 2700
@ -453,7 +453,7 @@
"bytesInOutput": 47
},
"src/tf.js": {
"bytesInOutput": 193
"bytesInOutput": 189
},
"src/face/triangulation.js": {
"bytesInOutput": 17898
@ -480,10 +480,10 @@
"bytesInOutput": 23
},
"src/human.js": {
"bytesInOutput": 12015
"bytesInOutput": 12338
}
},
"bytes": 419169
"bytes": 419504
}
}
}

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src/tf.js
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@ -1,18 +1,18 @@
// custom: bundle 3.4M
/*
import * as tf from '../../../dev-clone/tfjs/tfjs/dist/tf.esnext.js';
// from compileld sources: bundle 2.0M
import * as tf from '@tensorflow/tfjs/dist/index.js';
import { setWasmPaths } from '@tensorflow/tfjs-backend-wasm/dist/index.js';
const loadGraphModel = tf.loadGraphModel;
export { tf, setWasmPaths, loadGraphModel };
*/
// monolithic: bundle 3.4M
// from esm bundles: bundle 3.2M
/*
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 { tf, setWasmPaths, loadGraphModel };
*/
// modular: bundle 4.2M
/*
@ -26,3 +26,12 @@ const version = { core: tf.version, cpu: tfCPU.version_cpu, webgl: tfWebGL.versi
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 };
*/

2
wiki

@ -1 +1 @@
Subproject commit 5dcbe8ad56fc4dc21378046c225185e6203250eb
Subproject commit 1cc1d9bf597c26a37f4e70c4895b1e956195c1b3