mirror of https://github.com/vladmandic/human
start using partial definitions
Vladimir Mandic
parent
9ae3f10ded
commit
1f0fe66fe0
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@ -11,6 +11,9 @@
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### **HEAD -> main** 2021/09/11 mandic00@live.com
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### **origin/main** 2021/09/11 mandic00@live.com
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- simplify dependencies
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- fix file permissions
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- remove old build server
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3
TODO.md
3
TODO.md
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@ -6,7 +6,8 @@ WebGL shader optimizations for faster load and initial detection
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- Implement WebGL uniforms for shaders: <https://github.com/tensorflow/tfjs/issues/5205>
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- Fix shader packing: <https://github.com/tensorflow/tfjs/issues/5343>
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- Event emitters
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- Refactor Human as multiple partial class
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- Refactor ImageFX as ESM
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<br>
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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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@ -160,7 +160,7 @@ export class Human {
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* Creates instance of Human library that is futher used for all operations
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* @param userConfig: {@link Config}
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*/
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constructor(userConfig?: Config | Record<string, unknown>) {
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constructor(userConfig?: Partial<Config>) {
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this.version = app.version; // expose version property on instance of class
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Object.defineProperty(this, 'version', { value: app.version }); // expose version property directly on class itself
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defaults.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf.version_core}/dist/`;
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@ -280,7 +280,7 @@ export class Human {
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* - Not explicitly required as any required model is load implicitly on it's first run
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* @param userConfig?: {@link Config}
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*/
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async load(userConfig?: Config | Record<string, unknown>) {
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async load(userConfig?: Partial<Config>) {
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this.state = 'load';
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const timeStamp = now();
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const count = Object.values(this.models).filter((model) => model).length;
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@ -464,7 +464,7 @@ export class Human {
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* @param userConfig?: {@link Config}
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* @returns result: {@link Result}
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*/
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async detect(input: Input, userConfig?: Config | Record<string, unknown>): Promise<Result | Error> {
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async detect(input: Input, userConfig?: Partial<Config>): Promise<Result | Error> {
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// detection happens inside a promise
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return new Promise(async (resolve) => {
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this.state = 'config';
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@ -716,7 +716,7 @@ export class Human {
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* - only used for `webgl` and `humangl` backends
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* @param userConfig?: Config
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*/
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async warmup(userConfig?: Config | Record<string, unknown>): Promise<Result | { error }> {
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async warmup(userConfig?: Partial<Config>): Promise<Result | { error }> {
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const t0 = now();
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if (userConfig) this.config = mergeDeep(this.config, userConfig) as Config;
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if (!this.config.warmup || this.config.warmup === 'none') return { error: 'null' };
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145
test/build.log
145
test/build.log
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@ -923,3 +923,148 @@
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2021-09-11 16:02:09 [36mINFO: [39m Watch: {"event":"modify","input":"src/human.ts"}
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2021-09-11 16:02:09 [35mSTATE:[39m Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":47,"inputBytes":457983,"outputBytes":397457}
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2021-09-11 16:02:19 [36mINFO: [39m Build exiting...
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2021-09-11 16:02:22 [36mINFO: [39m @vladmandic/human version 2.1.5
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2021-09-11 16:02:22 [36mINFO: [39m User: vlado Platform: linux Arch: x64 Node: v16.5.0
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2021-09-11 16:02:22 [36mINFO: [39m Environment: {"profile":"production","config":"build.json","tsconfig":true,"eslintrc":true,"git":true}
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2021-09-11 16:02:22 [36mINFO: [39m Toolchain: {"build":"0.4.1","esbuild":"0.12.26","typescript":"4.4.3","typedoc":"0.21.9","eslint":"7.32.0"}
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2021-09-11 16:02:22 [36mINFO: [39m Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]}
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2021-09-11 16:02:23 [35mSTATE:[39m Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":47,"inputBytes":2800550,"outputBytes":2584375}
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2021-09-11 16:02:39 [35mSTATE:[39m Typings: {"input":"src/human.ts","output":"types","files":47}
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2021-09-11 16:02:45 [35mSTATE:[39m TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":14,"index":true}
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2021-09-11 16:03:12 [35mSTATE:[39m Lint: {"locations":["src/**/*.ts","test/*.js","demo/**/*.js"],"files":75,"errors":0,"warnings":0}
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2021-09-11 16:03:12 [35mSTATE:[39m ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
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2021-09-11 16:03:12 [36mINFO: [39m Done...
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2021-09-11 16:05:15 [36mINFO: [39m @vladmandic/human version 2.1.5
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2021-09-11 16:05:15 [36mINFO: [39m User: vlado Platform: linux Arch: x64 Node: v16.5.0
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2021-09-11 16:05:15 [36mINFO: [39m Toolchain: {"build":"0.4.1","esbuild":"0.12.26","typescript":"4.4.3","typedoc":"0.21.9","eslint":"7.32.0"}
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2021-09-11 16:05:15 [36mINFO: [39m Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]}
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2021-09-11 16:05:15 [35mSTATE:[39m Clean: {"locations":["dist/*","types/*","typedoc/*"]}
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2021-09-11 16:05:15 [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":1416}
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2021-09-11 16:05:32 [35mSTATE:[39m Typings: {"input":"src/human.ts","output":"types","files":47}
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2021-09-11 16:06:04 [35mSTATE:[39m Lint: {"locations":["src/**/*.ts","test/*.js","demo/**/*.js"],"files":75,"errors":0,"warnings":0}
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2021-09-11 16:06:04 [35mSTATE:[39m ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
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2021-09-11 16:06:04 [36mINFO: [39m Done...
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2021-09-11 16:06:55 [36mINFO: [39m @vladmandic/human version 2.1.5
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2021-09-11 16:06:55 [36mINFO: [39m User: vlado Platform: linux Arch: x64 Node: v16.5.0
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||||
2021-09-11 16:08:58 [36mINFO: [39m Build exiting...
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||||
2021-09-11 16:09:01 [36mINFO: [39m @vladmandic/human version 2.1.5
|
||||
2021-09-11 16:09:01 [36mINFO: [39m User: vlado Platform: linux Arch: x64 Node: v16.5.0
|
||||
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||||
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||||
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2021-09-11 16:09:50 [35mSTATE:[39m ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
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|
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|
|
@ -120,7 +120,7 @@
|
|||
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
|
||||
<a name="canvas" class="tsd-anchor"></a>
|
||||
<h3><span class="tsd-flag ts-flagOptional">Optional</span> canvas</h3>
|
||||
<div class="tsd-signature tsd-kind-icon">canvas<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span></div>
|
||||
<div class="tsd-signature tsd-kind-icon">canvas<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span></div>
|
||||
<aside class="tsd-sources">
|
||||
<ul>
|
||||
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/result.ts#L189">result.ts:189</a></li>
|
||||
|
|
|
|||
|
|
@ -5,6 +5,7 @@ import { Config } from './config';
|
|||
import { Result, Face, Hand, Body, Item, Gesture } from './result';
|
||||
import * as tf from '../dist/tfjs.esm.js';
|
||||
import * as facemesh from './blazeface/facemesh';
|
||||
import * as image from './image/image';
|
||||
import * as draw from './draw/draw';
|
||||
import { Tensor, GraphModel } from './tfjs/types';
|
||||
export { Config } from './config';
|
||||
|
|
@ -52,8 +53,10 @@ export declare class Human {
|
|||
* - Progresses through: 'config', 'check', 'backend', 'load', 'run:<model>', 'idle'
|
||||
*/
|
||||
state: string;
|
||||
/** @internal: Instance of current image being processed */
|
||||
image: {
|
||||
/** process input and return tensor and canvas */
|
||||
image: typeof image.process;
|
||||
/** currenty processed image tensor and canvas */
|
||||
process: {
|
||||
tensor: Tensor | null;
|
||||
canvas: OffscreenCanvas | HTMLCanvasElement | null;
|
||||
};
|
||||
|
|
@ -66,7 +69,7 @@ export declare class Human {
|
|||
* - face: draw detected faces
|
||||
* - body: draw detected people and body parts
|
||||
* - hand: draw detected hands and hand parts
|
||||
* - canvas: draw processed canvas which is a processed copy of the input
|
||||
* - canvas: draw this.processed canvas which is a this.processed copy of the input
|
||||
* - all: meta-function that performs: canvas, face, body, hand
|
||||
*/
|
||||
draw: {
|
||||
|
|
@ -105,6 +108,16 @@ export declare class Human {
|
|||
faceres: GraphModel | null;
|
||||
segmentation: GraphModel | null;
|
||||
};
|
||||
/** Container for events dispatched by Human
|
||||
*
|
||||
* Possible events:
|
||||
* - `create`: triggered when Human object is instantiated
|
||||
* - `load`: triggered when models are loaded (explicitly or on-demand)
|
||||
* - `image`: triggered when input image is this.processed
|
||||
* - `result`: triggered when detection is complete
|
||||
* - `warmup`: triggered when warmup is complete
|
||||
*/
|
||||
events: EventTarget;
|
||||
/** Reference face triangualtion array of 468 points, used for triangle references between points */
|
||||
faceTriangulation: typeof facemesh.triangulation;
|
||||
/** Refernce UV map of 468 values, used for 3D mapping of the face mesh */
|
||||
|
|
@ -120,7 +133,7 @@ export declare class Human {
|
|||
* Creates instance of Human library that is futher used for all operations
|
||||
* @param userConfig: {@link Config}
|
||||
*/
|
||||
constructor(userConfig?: Config | Record<string, unknown>);
|
||||
constructor(userConfig?: Partial<Config>);
|
||||
/** @hidden */
|
||||
analyze: (...msg: string[]) => void;
|
||||
/** Simmilarity method calculates simmilarity between two provided face descriptors (face embeddings)
|
||||
|
|
@ -132,16 +145,16 @@ export declare class Human {
|
|||
*/
|
||||
similarity(embedding1: Array<number>, embedding2: Array<number>): number;
|
||||
/**
|
||||
* Segmentation method takes any input and returns processed canvas with body segmentation
|
||||
* Segmentation method takes any input and returns this.processed canvas with body segmentation
|
||||
* Optional parameter background is used to fill the background with specific input
|
||||
* Segmentation is not triggered as part of detect process
|
||||
* Segmentation is not triggered as part of detect this.process
|
||||
*
|
||||
* @param input: {@link Input}
|
||||
* @param background?: {@link Input}
|
||||
* @returns Canvas
|
||||
*/
|
||||
segmentation(input: Input, background?: Input): Promise<OffscreenCanvas | HTMLCanvasElement | null>;
|
||||
/** Enhance method performs additional enhacements to face image previously detected for futher processing
|
||||
/** Enhance method performs additional enhacements to face image previously detected for futher this.processing
|
||||
* @param input: Tensor as provided in human.result.face[n].tensor
|
||||
* @returns Tensor
|
||||
*/
|
||||
|
|
@ -166,7 +179,7 @@ export declare class Human {
|
|||
* - Not explicitly required as any required model is load implicitly on it's first run
|
||||
* @param userConfig?: {@link Config}
|
||||
*/
|
||||
load(userConfig?: Config | Record<string, unknown>): Promise<void>;
|
||||
load(userConfig?: Partial<Config>): Promise<void>;
|
||||
/**
|
||||
* Runs interpolation using last known result and returns smoothened result
|
||||
* Interpolation is based on time since last known result so can be called independently
|
||||
|
|
@ -177,21 +190,21 @@ export declare class Human {
|
|||
next: (result?: Result | undefined) => Result;
|
||||
/** Main detection method
|
||||
* - Analyze configuration: {@link Config}
|
||||
* - Pre-process input: {@link Input}
|
||||
* - Pre-this.process input: {@link Input}
|
||||
* - Run inference for all configured models
|
||||
* - Process and return result: {@link Result}
|
||||
* - this.process and return result: {@link Result}
|
||||
*
|
||||
* @param input: Input
|
||||
* @param userConfig?: {@link Config}
|
||||
* @returns result: {@link Result}
|
||||
*/
|
||||
detect(input: Input, userConfig?: Config | Record<string, unknown>): Promise<Result | Error>;
|
||||
detect(input: Input, userConfig?: Partial<Config>): Promise<Result | Error>;
|
||||
/** Warmup method pre-initializes all configured models for faster inference
|
||||
* - can take significant time on startup
|
||||
* - only used for `webgl` and `humangl` backends
|
||||
* @param userConfig?: Config
|
||||
*/
|
||||
warmup(userConfig?: Config | Record<string, unknown>): Promise<Result | {
|
||||
warmup(userConfig?: Partial<Config>): Promise<Result | {
|
||||
error: any;
|
||||
}>;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -196,7 +196,7 @@ export interface Result {
|
|||
/** global performance object with timing values for each operation */
|
||||
performance: Record<string, unknown>;
|
||||
/** optional processed canvas that can be used to draw input on screen */
|
||||
canvas?: OffscreenCanvas | HTMLCanvasElement;
|
||||
canvas?: OffscreenCanvas | HTMLCanvasElement | null;
|
||||
/** timestamp of detection representing the milliseconds elapsed since the UNIX epoch */
|
||||
readonly timestamp: number;
|
||||
/** getter property that returns unified persons object */
|
||||
|
|
|
|||
|
|
@ -7,7 +7,7 @@ declare type Input = Tensor | typeof Image | ImageData | ImageBitmap | HTMLImage
|
|||
export declare function load(config: Config): Promise<GraphModel>;
|
||||
export declare function predict(input: {
|
||||
tensor: Tensor | null;
|
||||
canvas: OffscreenCanvas | HTMLCanvasElement;
|
||||
canvas: OffscreenCanvas | HTMLCanvasElement | null;
|
||||
}): Promise<Uint8ClampedArray | null>;
|
||||
export declare function process(input: Input, background: Input | undefined, config: Config): Promise<HTMLCanvasElement | OffscreenCanvas | null>;
|
||||
export {};
|
||||
|
|
|
|||
Loading…
Reference in New Issue