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human
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Code Issues Packages Projects Releases Wiki Activity

added human.env diagnostic class

pull/193/head
Vladimir Mandic 2021-09-12 12:42:17 -04:00
parent 1bd394e303
commit 116424f81b
46 changed files with 3333 additions and 779 deletions
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17
.github/ISSUE_TEMPLATE/issue.md vendored
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@ -13,16 +13,23 @@ assignees: vladmandic
**Expected Behavior**
**Environment
**Environment**
- Module version?
- Human library version?
- Built-in demo or custom code?
- Type of module used (e.g. `js`, `esm`, `esm-nobundle`)?
- Browser or NodeJS and version (e.g. NodeJS 14.15 or Chrome 89)?
- OS and Hardware platform (e.g. Windows 10, Ubuntu Linux on x64, Android 10)?
- Packager (if any) (e.g, webpack, rollup, parcel, esbuild, etc.)?
- TensorFlow/JS version (if not using bundled module)?
- Browser or NodeJS and version (e.g. *NodeJS 14.15* or *Chrome 89*)?
- OS and Hardware platform (e.g. *Windows 10*, *Ubuntu Linux on x64*, *Android 10*)?
- Packager (if any) (e.g, *webpack*, *rollup*, *parcel*, *esbuild*, etc.)?
- Framework (if any) (e.g. *React*, *NextJS*, etc.)?
**Diagnostics**
- Check out any applicable [diagnostic steps](https://github.com/vladmandic/human/wiki/Diag)
**Additional**
- For installation or startup issues include your `package.json`
- For usage issues, it is recommended to post your code as [gist](https://gist.github.com/)
- For general questions, create a [discussion topic](https://github.com/vladmandic/human/discussions)

2
CHANGELOG.md
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@ -11,6 +11,8 @@
### **HEAD -> main** 2021/09/12 mandic00@live.com
- release candidate
- parametrize face config
- mark all config items as optional
- redefine config and result interfaces
- fix usge of string enums

7
README.md
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@ -72,6 +72,7 @@ Check out [**Live Demo**](https://vladmandic.github.io/human/demo/index.html) ap
- [**Performance Notes**](https://github.com/vladmandic/human/wiki/Performance)
- [**Performance Profiling**](https://github.com/vladmandic/human/wiki/Profiling)
- [**Platform Support**](https://github.com/vladmandic/human/wiki/Platforms)
- [**Diagnostic and Performance trace information**](https://github.com/vladmandic/human/wiki/Diag)
- [**List of Models & Credits**](https://github.com/vladmandic/human/wiki/Models)
- [**Security & Privacy Policy**](https://github.com/vladmandic/human/blob/main/SECURITY.md)
- [**License & Usage Restrictions**](https://github.com/vladmandic/human/blob/main/LICENSE)
@ -309,6 +310,12 @@ For more info, see [**Configuration Details**](https://github.com/vladmandic/hum
<br><hr><br>
## Diagnostics
- [How to get diagnostic information or performance trace information](https://github.com/vladmandic/human/wiki/Diag)
<br><hr><br>
`Human` library is written in `TypeScript` [4.3](https://www.typescriptlang.org/docs/handbook/intro.html)
Conforming to `JavaScript` [ECMAScript version 2020](https://www.ecma-international.org/ecma-262/11.0/index.html) standard
Build target is `JavaScript` [EMCAScript version 2018](https://262.ecma-international.org/9.0/)

6
demo/index.js
View File

@ -953,8 +953,7 @@ async function main() {
// create instance of human
human = new Human(userConfig);
log('human version:', Human.version);
log('tfjs version:', human.tf.version.tfjs);
log('human version:', human.version);
userConfig = { ...human.config, ...userConfig };
if (typeof tf !== 'undefined') {
// eslint-disable-next-line no-undef
@ -962,6 +961,7 @@ async function main() {
// eslint-disable-next-line no-undef
human.tf = tf; // use externally loaded version of tfjs
}
log('tfjs version:', human.tf.version.tfjs);
// setup main menu
await setupMenu();
@ -1013,6 +1013,8 @@ async function main() {
log('overriding images list:', JSON.parse(params.get('images')));
await detectSampleImages();
}
if (human.config.debug) log('environment:', human.env);
}
window.onload = main;

21
demo/nodejs/node-env.js Normal file
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@ -0,0 +1,21 @@
const log = require('@vladmandic/pilogger');
const Human = require('../../dist/human.node.js').default; // or const Human = require('../dist/human.node-gpu.js').default;
const config = {
debug: false,
};
async function main() {
const human = new Human(config);
await human.tf.ready();
log.info('Human:', human.version);
log.data('Environment', human.env);
await human.load();
const models = Object.keys(human.models).map((model) => ({ name: model, loaded: (human.models[model] !== null) }));
log.data('Models:', models);
log.info('Memory state:', human.tf.engine().memory());
// log.data('Config', human.config);
log.info('TFJS flags:', human.tf.ENV.flags);
}
main();

117
dist/human.esm-nobundle.js vendored
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@ -83,8 +83,8 @@ function mergeDeep(...objects) {
// src/config.ts
var config = {
backend: "humangl",
modelBasePath: "../models/",
backend: "",
modelBasePath: "",
wasmPath: "",
debug: true,
async: true,
@ -182,27 +182,6 @@ var config = {
}
};
// src/sysinfo.ts
function info() {
let platform = "";
let agent = "";
if (typeof navigator !== "undefined") {
const raw = navigator.userAgent.match(/\(([^()]+)\)/g);
if (raw && raw[0]) {
const platformMatch = raw[0].match(/\(([^()]+)\)/g);
platform = platformMatch && platformMatch[0] ? platformMatch[0].replace(/\(|\)/g, "") : "";
agent = navigator.userAgent.replace(raw[0], "");
if (platform[1])
agent = agent.replace(raw[1], "");
agent = agent.replace(/ /g, " ");
}
} else if (typeof process !== "undefined") {
platform = `${process.platform} ${process.arch}`;
agent = `NodeJS ${process.version}`;
}
return { platform, agent };
}
// dist/tfjs.esm.js
var tfjs_esm_exports = {};
__export(tfjs_esm_exports, {
@ -11732,6 +11711,74 @@ SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T
lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/
2Q==`;
// src/env.ts
var env2 = {
browser: void 0,
node: void 0,
worker: void 0,
platform: void 0,
agent: void 0,
backends: [],
tfjs: {
version: void 0,
external: void 0
},
wasm: {
supported: void 0,
simd: void 0,
multithread: void 0
},
webgl: {
supported: void 0,
version: void 0,
renderer: void 0
},
webgpu: {
supported: void 0,
adapter: void 0
},
kernels: []
};
async function get() {
var _a;
env2.browser = typeof navigator !== "undefined";
env2.node = typeof process !== "undefined";
env2.worker = env2.browser ? typeof WorkerGlobalScope !== "undefined" : void 0;
env2.tfjs.version = tfjs_esm_exports.version_core;
if (typeof navigator !== "undefined") {
const raw = navigator.userAgent.match(/\(([^()]+)\)/g);
if (raw && raw[0]) {
const platformMatch = raw[0].match(/\(([^()]+)\)/g);
env2.platform = platformMatch && platformMatch[0] ? platformMatch[0].replace(/\(|\)/g, "") : "";
env2.agent = navigator.userAgent.replace(raw[0], "");
if (env2.platform[1])
env2.agent = env2.agent.replace(raw[1], "");
env2.agent = env2.agent.replace(/ /g, " ");
}
} else if (typeof process !== "undefined") {
env2.platform = `${process.platform} ${process.arch}`;
env2.agent = `NodeJS ${process.version}`;
}
env2.backends = Object.keys(tfjs_esm_exports.engine().registryFactory);
env2.wasm.supported = env2.backends.includes("wasm");
if (env2.wasm.supported) {
env2.wasm.simd = await tfjs_esm_exports.env().getAsync("WASM_HAS_SIMD_SUPPORT");
env2.wasm.multithread = await tfjs_esm_exports.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");
}
env2.webgl.supported = typeof tfjs_esm_exports.backend().gpgpu !== "undefined";
if (env2.webgl.supported) {
const gl = await tfjs_esm_exports.backend().getGPGPUContext().gl;
if (gl) {
env2.webgl.version = gl.getParameter(gl.VERSION);
env2.webgl.renderer = gl.getParameter(gl.RENDERER);
}
}
env2.webgpu.supported = env2.browser && typeof navigator["gpu"] !== "undefined";
if (env2.webgpu.supported)
env2.webgpu.adapter = (_a = await navigator["gpu"].requestAdapter()) == null ? void 0 : _a.name;
env2.kernels = tfjs_esm_exports.getKernelsForBackend(tfjs_esm_exports.getBackend()).map((kernel) => kernel.kernelName);
}
// package.json
var version2 = "2.2.0";
@ -11773,9 +11820,9 @@ var Human = class {
var _a;
return (_a = this.events) == null ? void 0 : _a.dispatchEvent(new Event(event));
});
__privateAdd(this, _checkBackend, async (force = false) => {
__privateAdd(this, _checkBackend, async () => {
var _a;
if (this.config.backend && this.config.backend.length > 0 && force || this.tf.getBackend() !== this.config.backend) {
if (__privateGet(this, _firstRun) || (this.config.backend && this.config.backend.length > 0 || this.tf.getBackend() !== this.config.backend)) {
const timeStamp = now();
this.state = "backend";
if (this.config.backend && this.config.backend.length > 0) {
@ -11787,7 +11834,7 @@ var Human = class {
this.config.backend = "humangl";
}
if (this.tf.ENV.flags.IS_NODE && (this.config.backend === "webgl" || this.config.backend === "humangl")) {
log("override: backend set to webgl while running in nodejs");
log(`override: backend set to ${this.config.backend} while running in nodejs`);
this.config.backend = "tensorflow";
}
if (this.tf.ENV.flags.IS_BROWSER && this.config.backend === "webgpu") {
@ -11848,6 +11895,8 @@ var Human = class {
this.tf.enableProdMode();
await this.tf.ready();
this.performance.backend = Math.trunc(now() - timeStamp);
get();
this.env = env2;
}
});
this.next = (result) => calc(result || this.result);
@ -11943,9 +11992,13 @@ var Human = class {
}
return res;
});
get();
this.env = env2;
config.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tfjs_esm_exports.version_core}/dist/`;
config.modelBasePath = this.env.browser ? "../models/" : "file://models/";
config.backend = this.env.browser ? "humangl" : "tensorflow";
this.version = version2;
Object.defineProperty(this, "version", { value: version2 });
config.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tfjs_esm_exports.version_core}/dist/`;
this.config = mergeDeep(config, userConfig || {});
this.tf = tfjs_esm_exports;
this.draw = draw_exports;
@ -11978,7 +12031,6 @@ var Human = class {
this.process = { tensor: null, canvas: null };
this.faceTriangulation = triangulation;
this.faceUVMap = uvmap;
this.sysinfo = info();
__privateSet(this, _lastInputSum, 1);
__privateGet(this, _emit).call(this, "create");
}
@ -12006,10 +12058,8 @@ var Human = class {
if (this.config.debug)
log(`tfjs version: ${this.tf.version_core}`);
if (this.config.debug)
log("platform:", this.sysinfo.platform);
if (this.config.debug)
log("agent:", this.sysinfo.agent);
await __privateGet(this, _checkBackend).call(this, true);
log("environment:", env2);
await __privateGet(this, _checkBackend).call(this);
if (this.tf.ENV.flags.IS_BROWSER) {
if (this.config.debug)
log("configuration:", this.config);
@ -12227,6 +12277,7 @@ _warmupNode = new WeakMap();
export {
Human,
Human as default,
config as defaults
config as defaults,
env2 as env
};
//# sourceMappingURL=human.esm-nobundle.js.map

6
dist/human.esm-nobundle.js.map vendored
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File diff suppressed because one or more lines are too long

197
dist/human.esm.js vendored
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@ -72,8 +72,8 @@ function mergeDeep(...objects) {
// src/config.ts
var config = {
backend: "humangl",
modelBasePath: "../models/",
backend: "",
modelBasePath: "",
wasmPath: "",
debug: true,
async: true,
@ -171,27 +171,6 @@ var config = {
}
};
// src/sysinfo.ts
function info() {
let platform = "";
let agent = "";
if (typeof navigator !== "undefined") {
const raw = navigator.userAgent.match(/\(([^()]+)\)/g);
if (raw && raw[0]) {
const platformMatch = raw[0].match(/\(([^()]+)\)/g);
platform = platformMatch && platformMatch[0] ? platformMatch[0].replace(/\(|\)/g, "") : "";
agent = navigator.userAgent.replace(raw[0], "");
if (platform[1])
agent = agent.replace(raw[1], "");
agent = agent.replace(/ /g, " ");
}
} else if (typeof process !== "undefined") {
platform = `${process.platform} ${process.arch}`;
agent = `NodeJS ${process.version}`;
}
return { platform, agent };
}
// dist/tfjs.esm.js
var tfjs_esm_exports = {};
__export(tfjs_esm_exports, {
@ -3446,7 +3425,7 @@ var require_tfjs_backend_wasm_threaded_simd = __commonJS({
});
}
function createWasm() {
var info2 = { "a": asmLibraryArg };
var info = { "a": asmLibraryArg };
function receiveInstance(instance, module2) {
var exports3 = instance.exports;
Module["asm"] = exports3;
@ -3470,7 +3449,7 @@ var require_tfjs_backend_wasm_threaded_simd = __commonJS({
}
function instantiateArrayBuffer(receiver) {
return getBinaryPromise().then(function(binary) {
return WebAssembly.instantiate(binary, info2);
return WebAssembly.instantiate(binary, info);
}).then(receiver, function(reason) {
err("failed to asynchronously prepare wasm: " + reason);
abort(reason);
@ -3479,7 +3458,7 @@ var require_tfjs_backend_wasm_threaded_simd = __commonJS({
function instantiateAsync() {
if (!wasmBinary && typeof WebAssembly.instantiateStreaming === "function" && !isDataURI(wasmBinaryFile) && !isFileURI(wasmBinaryFile) && typeof fetch === "function") {
return fetch(wasmBinaryFile, { credentials: "same-origin" }).then(function(response) {
var result = WebAssembly.instantiateStreaming(response, info2);
var result = WebAssembly.instantiateStreaming(response, info);
return result.then(receiveInstantiatedSource, function(reason) {
err("wasm streaming compile failed: " + reason);
err("falling back to ArrayBuffer instantiation");
@ -3492,7 +3471,7 @@ var require_tfjs_backend_wasm_threaded_simd = __commonJS({
}
if (Module["instantiateWasm"]) {
try {
var exports2 = Module["instantiateWasm"](info2, receiveInstance);
var exports2 = Module["instantiateWasm"](info, receiveInstance);
return exports2;
} catch (e) {
err("Module.instantiateWasm callback failed with error: " + e);
@ -5536,7 +5515,7 @@ var require_tfjs_backend_wasm = __commonJS({
});
}
function createWasm() {
var info2 = { "a": asmLibraryArg };
var info = { "a": asmLibraryArg };
function receiveInstance(instance, module2) {
var exports3 = instance.exports;
Module["asm"] = exports3;
@ -5551,7 +5530,7 @@ var require_tfjs_backend_wasm = __commonJS({
}
function instantiateArrayBuffer(receiver) {
return getBinaryPromise().then(function(binary) {
return WebAssembly.instantiate(binary, info2);
return WebAssembly.instantiate(binary, info);
}).then(receiver, function(reason) {
err("failed to asynchronously prepare wasm: " + reason);
abort(reason);
@ -5560,7 +5539,7 @@ var require_tfjs_backend_wasm = __commonJS({
function instantiateAsync() {
if (!wasmBinary && typeof WebAssembly.instantiateStreaming === "function" && !isDataURI(wasmBinaryFile) && !isFileURI(wasmBinaryFile) && typeof fetch === "function") {
return fetch(wasmBinaryFile, { credentials: "same-origin" }).then(function(response) {
var result = WebAssembly.instantiateStreaming(response, info2);
var result = WebAssembly.instantiateStreaming(response, info);
return result.then(receiveInstantiatedSource, function(reason) {
err("wasm streaming compile failed: " + reason);
err("falling back to ArrayBuffer instantiation");
@ -5573,7 +5552,7 @@ var require_tfjs_backend_wasm = __commonJS({
}
if (Module["instantiateWasm"]) {
try {
var exports2 = Module["instantiateWasm"](info2, receiveInstance);
var exports2 = Module["instantiateWasm"](info, receiveInstance);
return exports2;
} catch (e) {
err("Module.instantiateWasm callback failed with error: " + e);
@ -8203,13 +8182,13 @@ var Engine = class {
throw new Error(`Could not initialize any backends, all backend initializations failed.`);
}
moveData(backend22, dataId) {
const info2 = this.state.tensorInfo.get(dataId);
const srcBackend = info2.backend;
const info = this.state.tensorInfo.get(dataId);
const srcBackend = info.backend;
const values = this.readSync(dataId);
const refCount = srcBackend.refCount(dataId);
srcBackend.disposeData(dataId, true);
info2.backend = backend22;
backend22.move(dataId, values, info2.shape, info2.dtype, refCount);
info.backend = backend22;
backend22.move(dataId, values, info.shape, info.dtype, refCount);
if (this.shouldCheckForMemLeaks()) {
this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1]++;
}
@ -8287,8 +8266,8 @@ var Engine = class {
checkKernelForMemLeak(kernelName, numDataIdsBefore, outInfos) {
const numDataIdsAfter = this.backend.numDataIds();
let numOutputDataIds = 0;
outInfos.forEach((info2) => {
numOutputDataIds += info2.dtype === "complex64" ? 3 : 1;
outInfos.forEach((info) => {
numOutputDataIds += info.dtype === "complex64" ? 3 : 1;
});
const numMoves = this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1];
const dataIdsLeaked = numDataIdsAfter - numDataIdsBefore - numOutputDataIds - numMoves;
@ -8423,10 +8402,10 @@ var Engine = class {
const t = new Tensor(shape, dtype, dataId, this.nextTensorId());
this.trackTensor(t, backend22);
if (dtype === "string") {
const info2 = this.state.tensorInfo.get(dataId);
const info = this.state.tensorInfo.get(dataId);
const newBytes = bytesFromStringArray(backendVals);
this.state.numBytes += newBytes - info2.bytes;
info2.bytes = newBytes;
this.state.numBytes += newBytes - info.bytes;
info.bytes = newBytes;
}
return t;
}
@ -8486,18 +8465,18 @@ var Engine = class {
if (!this.state.tensorInfo.has(a.dataId)) {
return;
}
const info2 = this.state.tensorInfo.get(a.dataId);
const info = this.state.tensorInfo.get(a.dataId);
this.state.numTensors--;
if (a.dtype === "string") {
this.state.numStringTensors--;
this.state.numBytes -= info2.bytes;
this.state.numBytes -= info.bytes;
}
if (a.dtype !== "complex64" && a.dtype !== "string") {
const bytes = a.size * bytesPerElement(a.dtype);
this.state.numBytes -= bytes;
}
if (info2.backend.disposeData(a.dataId)) {
this.removeDataId(a.dataId, info2.backend);
if (info.backend.disposeData(a.dataId)) {
this.removeDataId(a.dataId, info.backend);
}
}
disposeVariables() {
@ -8513,18 +8492,18 @@ var Engine = class {
}
}
memory() {
const info2 = this.backend.memory();
info2.numTensors = this.state.numTensors;
info2.numDataBuffers = this.state.numDataBuffers;
info2.numBytes = this.state.numBytes;
const info = this.backend.memory();
info.numTensors = this.state.numTensors;
info.numDataBuffers = this.state.numDataBuffers;
info.numBytes = this.state.numBytes;
if (this.state.numStringTensors > 0) {
info2.unreliable = true;
if (info2.reasons == null) {
info2.reasons = [];
info.unreliable = true;
if (info.reasons == null) {
info.reasons = [];
}
info2.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)");
info.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)");
}
return info2;
return info;
}
async profile(query) {
this.state.profiling = true;
@ -8669,12 +8648,12 @@ var Engine = class {
};
}
readSync(dataId) {
const info2 = this.state.tensorInfo.get(dataId);
return info2.backend.readSync(dataId);
const info = this.state.tensorInfo.get(dataId);
return info.backend.readSync(dataId);
}
read(dataId) {
const info2 = this.state.tensorInfo.get(dataId);
return info2.backend.read(dataId);
const info = this.state.tensorInfo.get(dataId);
return info.backend.read(dataId);
}
async time(query) {
const start = now2();
@ -9566,11 +9545,11 @@ var BrowserLocalStorage = class {
}
}
async load() {
const info2 = JSON.parse(this.LS.getItem(this.keys.info));
if (info2 == null) {
const info = JSON.parse(this.LS.getItem(this.keys.info));
if (info == null) {
throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);
}
if (info2.modelTopologyType !== "JSON") {
if (info.modelTopologyType !== "JSON") {
throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");
}
const out = {};
@ -9653,9 +9632,9 @@ var BrowserLocalStorageManager = class {
if (this.LS.getItem(keys.info) == null) {
throw new Error(`Cannot find model at path '${path}'`);
}
const info2 = JSON.parse(this.LS.getItem(keys.info));
const info = JSON.parse(this.LS.getItem(keys.info));
removeItems(keys);
return info2;
return info;
}
};
var URL_SCHEME_SUFFIX = "://";
@ -47529,7 +47508,7 @@ var MathBackendWebGL = class extends KernelBackend {
query = this.startTimer();
}
runProgram(this.gpgpu, binary, inputsData, outputData, customUniformValues);
dataToDispose.forEach((info2) => this.disposeIntermediateTensorInfo(info2));
dataToDispose.forEach((info) => this.disposeIntermediateTensorInfo(info));
if (shouldTimeProgram) {
query = this.endTimer(query);
this.activeTimers.push({ name: program.constructor.name, query: this.getQueryTime(query) });
@ -71240,6 +71219,74 @@ SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T
lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/
2Q==`;
// src/env.ts
var env2 = {
browser: void 0,
node: void 0,
worker: void 0,
platform: void 0,
agent: void 0,
backends: [],
tfjs: {
version: void 0,
external: void 0
},
wasm: {
supported: void 0,
simd: void 0,
multithread: void 0
},
webgl: {
supported: void 0,
version: void 0,
renderer: void 0
},
webgpu: {
supported: void 0,
adapter: void 0
},
kernels: []
};
async function get3() {
var _a;
env2.browser = typeof navigator !== "undefined";
env2.node = typeof process !== "undefined";
env2.worker = env2.browser ? typeof WorkerGlobalScope !== "undefined" : void 0;
env2.tfjs.version = version9;
if (typeof navigator !== "undefined") {
const raw = navigator.userAgent.match(/\(([^()]+)\)/g);
if (raw && raw[0]) {
const platformMatch = raw[0].match(/\(([^()]+)\)/g);
env2.platform = platformMatch && platformMatch[0] ? platformMatch[0].replace(/\(|\)/g, "") : "";
env2.agent = navigator.userAgent.replace(raw[0], "");
if (env2.platform[1])
env2.agent = env2.agent.replace(raw[1], "");
env2.agent = env2.agent.replace(/ /g, " ");
}
} else if (typeof process !== "undefined") {
env2.platform = `${process.platform} ${process.arch}`;
env2.agent = `NodeJS ${process.version}`;
}
env2.backends = Object.keys(engine().registryFactory);
env2.wasm.supported = env2.backends.includes("wasm");
if (env2.wasm.supported) {
env2.wasm.simd = await env().getAsync("WASM_HAS_SIMD_SUPPORT");
env2.wasm.multithread = await env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");
}
env2.webgl.supported = typeof backend().gpgpu !== "undefined";
if (env2.webgl.supported) {
const gl = await backend().getGPGPUContext().gl;
if (gl) {
env2.webgl.version = gl.getParameter(gl.VERSION);
env2.webgl.renderer = gl.getParameter(gl.RENDERER);
}
}
env2.webgpu.supported = env2.browser && typeof navigator["gpu"] !== "undefined";
if (env2.webgpu.supported)
env2.webgpu.adapter = (_a = await navigator["gpu"].requestAdapter()) == null ? void 0 : _a.name;
env2.kernels = getKernelsForBackend(getBackend()).map((kernel) => kernel.kernelName);
}
// package.json
var version17 = "2.2.0";
@ -71281,9 +71328,9 @@ var Human = class {
var _a;
return (_a = this.events) == null ? void 0 : _a.dispatchEvent(new Event(event));
});
__privateAdd(this, _checkBackend, async (force = false) => {
__privateAdd(this, _checkBackend, async () => {
var _a;
if (this.config.backend && this.config.backend.length > 0 && force || this.tf.getBackend() !== this.config.backend) {
if (__privateGet(this, _firstRun) || (this.config.backend && this.config.backend.length > 0 || this.tf.getBackend() !== this.config.backend)) {
const timeStamp = now();
this.state = "backend";
if (this.config.backend && this.config.backend.length > 0) {
@ -71295,7 +71342,7 @@ var Human = class {
this.config.backend = "humangl";
}
if (this.tf.ENV.flags.IS_NODE && (this.config.backend === "webgl" || this.config.backend === "humangl")) {
log("override: backend set to webgl while running in nodejs");
log(`override: backend set to ${this.config.backend} while running in nodejs`);
this.config.backend = "tensorflow";
}
if (this.tf.ENV.flags.IS_BROWSER && this.config.backend === "webgpu") {
@ -71356,6 +71403,8 @@ var Human = class {
this.tf.enableProdMode();
await this.tf.ready();
this.performance.backend = Math.trunc(now() - timeStamp);
get3();
this.env = env2;
}
});
this.next = (result) => calc(result || this.result);
@ -71451,9 +71500,13 @@ var Human = class {
}
return res;
});
get3();
this.env = env2;
config.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${version9}/dist/`;
config.modelBasePath = this.env.browser ? "../models/" : "file://models/";
config.backend = this.env.browser ? "humangl" : "tensorflow";
this.version = version17;
Object.defineProperty(this, "version", { value: version17 });
config.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${version9}/dist/`;
this.config = mergeDeep(config, userConfig || {});
this.tf = tfjs_esm_exports;
this.draw = draw_exports;
@ -71486,7 +71539,6 @@ var Human = class {
this.process = { tensor: null, canvas: null };
this.faceTriangulation = triangulation;
this.faceUVMap = uvmap;
this.sysinfo = info();
__privateSet(this, _lastInputSum, 1);
__privateGet(this, _emit).call(this, "create");
}
@ -71514,10 +71566,8 @@ var Human = class {
if (this.config.debug)
log(`tfjs version: ${this.tf.version_core}`);
if (this.config.debug)
log("platform:", this.sysinfo.platform);
if (this.config.debug)
log("agent:", this.sysinfo.agent);
await __privateGet(this, _checkBackend).call(this, true);
log("environment:", env2);
await __privateGet(this, _checkBackend).call(this);
if (this.tf.ENV.flags.IS_BROWSER) {
if (this.config.debug)
log("configuration:", this.config);
@ -71735,7 +71785,8 @@ _warmupNode = new WeakMap();
export {
Human,
Human as default,
config as defaults
config as defaults,
env2 as env
};
/**
* @license

6
dist/human.esm.js.map vendored
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File diff suppressed because one or more lines are too long

856
dist/human.js vendored
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File diff suppressed because one or more lines are too long

137
dist/human.node-gpu.js vendored
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@ -85,7 +85,8 @@ var require_tfjs_esm = __commonJS({
__export(exports, {
Human: () => Human,
default: () => Human,
defaults: () => config
defaults: () => config,
env: () => env2
});
// src/helpers.ts
@ -127,8 +128,8 @@ function mergeDeep(...objects) {
// src/config.ts
var config = {
backend: "humangl",
modelBasePath: "../models/",
backend: "",
modelBasePath: "",
wasmPath: "",
debug: true,
async: true,
@ -226,29 +227,8 @@ var config = {
}
};
// src/sysinfo.ts
function info() {
let platform = "";
let agent = "";
if (typeof navigator !== "undefined") {
const raw = navigator.userAgent.match(/\(([^()]+)\)/g);
if (raw && raw[0]) {
const platformMatch = raw[0].match(/\(([^()]+)\)/g);
platform = platformMatch && platformMatch[0] ? platformMatch[0].replace(/\(|\)/g, "") : "";
agent = navigator.userAgent.replace(raw[0], "");
if (platform[1])
agent = agent.replace(raw[1], "");
agent = agent.replace(/ /g, " ");
}
} else if (typeof process !== "undefined") {
platform = `${process.platform} ${process.arch}`;
agent = `NodeJS ${process.version}`;
}
return { platform, agent };
}
// src/human.ts
var tf21 = __toModule(require_tfjs_esm());
var tf22 = __toModule(require_tfjs_esm());
// src/tfjs/backend.ts
var tf = __toModule(require_tfjs_esm());
@ -11783,6 +11763,75 @@ SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T
lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/
2Q==`;
// src/env.ts
var tf21 = __toModule(require_tfjs_esm());
var env2 = {
browser: void 0,
node: void 0,
worker: void 0,
platform: void 0,
agent: void 0,
backends: [],
tfjs: {
version: void 0,
external: void 0
},
wasm: {
supported: void 0,
simd: void 0,
multithread: void 0
},
webgl: {
supported: void 0,
version: void 0,
renderer: void 0
},
webgpu: {
supported: void 0,
adapter: void 0
},
kernels: []
};
async function get() {
var _a;
env2.browser = typeof navigator !== "undefined";
env2.node = typeof process !== "undefined";
env2.worker = env2.browser ? typeof WorkerGlobalScope !== "undefined" : void 0;
env2.tfjs.version = tf21.version_core;
if (typeof navigator !== "undefined") {
const raw = navigator.userAgent.match(/\(([^()]+)\)/g);
if (raw && raw[0]) {
const platformMatch = raw[0].match(/\(([^()]+)\)/g);
env2.platform = platformMatch && platformMatch[0] ? platformMatch[0].replace(/\(|\)/g, "") : "";
env2.agent = navigator.userAgent.replace(raw[0], "");
if (env2.platform[1])
env2.agent = env2.agent.replace(raw[1], "");
env2.agent = env2.agent.replace(/ /g, " ");
}
} else if (typeof process !== "undefined") {
env2.platform = `${process.platform} ${process.arch}`;
env2.agent = `NodeJS ${process.version}`;
}
env2.backends = Object.keys(tf21.engine().registryFactory);
env2.wasm.supported = env2.backends.includes("wasm");
if (env2.wasm.supported) {
env2.wasm.simd = await tf21.env().getAsync("WASM_HAS_SIMD_SUPPORT");
env2.wasm.multithread = await tf21.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");
}
env2.webgl.supported = typeof tf21.backend().gpgpu !== "undefined";
if (env2.webgl.supported) {
const gl = await tf21.backend().getGPGPUContext().gl;
if (gl) {
env2.webgl.version = gl.getParameter(gl.VERSION);
env2.webgl.renderer = gl.getParameter(gl.RENDERER);
}
}
env2.webgpu.supported = env2.browser && typeof navigator["gpu"] !== "undefined";
if (env2.webgpu.supported)
env2.webgpu.adapter = (_a = await navigator["gpu"].requestAdapter()) == null ? void 0 : _a.name;
env2.kernels = tf21.getKernelsForBackend(tf21.getBackend()).map((kernel) => kernel.kernelName);
}
// package.json
var version = "2.2.0";
@ -11811,7 +11860,7 @@ var Human = class {
return null;
if (!input)
return "input is not defined";
if (this.tf.ENV.flags.IS_NODE && !(input instanceof tf21.Tensor))
if (this.tf.ENV.flags.IS_NODE && !(input instanceof tf22.Tensor))
return "input must be a tensor";
try {
this.tf.getBackend();
@ -11824,9 +11873,9 @@ var Human = class {
var _a;
return (_a = this.events) == null ? void 0 : _a.dispatchEvent(new Event(event));
});
__privateAdd(this, _checkBackend, async (force = false) => {
__privateAdd(this, _checkBackend, async () => {
var _a;
if (this.config.backend && this.config.backend.length > 0 && force || this.tf.getBackend() !== this.config.backend) {
if (__privateGet(this, _firstRun) || (this.config.backend && this.config.backend.length > 0 || this.tf.getBackend() !== this.config.backend)) {
const timeStamp = now();
this.state = "backend";
if (this.config.backend && this.config.backend.length > 0) {
@ -11838,7 +11887,7 @@ var Human = class {
this.config.backend = "humangl";
}
if (this.tf.ENV.flags.IS_NODE && (this.config.backend === "webgl" || this.config.backend === "humangl")) {
log("override: backend set to webgl while running in nodejs");
log(`override: backend set to ${this.config.backend} while running in nodejs`);
this.config.backend = "tensorflow";
}
if (this.tf.ENV.flags.IS_BROWSER && this.config.backend === "webgpu") {
@ -11899,6 +11948,8 @@ var Human = class {
this.tf.enableProdMode();
await this.tf.ready();
this.performance.backend = Math.trunc(now() - timeStamp);
get();
this.env = env2;
}
});
this.next = (result) => calc(result || this.result);
@ -11908,7 +11959,7 @@ var Human = class {
const resizeFact = 32;
if (!input.shape[1] || !input.shape[2])
return false;
const reduced = tf21.image.resizeBilinear(input, [Math.trunc(input.shape[1] / resizeFact), Math.trunc(input.shape[2] / resizeFact)]);
const reduced = tf22.image.resizeBilinear(input, [Math.trunc(input.shape[1] / resizeFact), Math.trunc(input.shape[2] / resizeFact)]);
const reducedData = await reduced.data();
let sum = 0;
for (let i = 0; i < reducedData.length / 3; i++)
@ -11982,8 +12033,8 @@ var Human = class {
if (!img)
return null;
let res;
if (typeof tf21["node"] !== "undefined") {
const data = tf21["node"].decodeJpeg(img);
if (typeof tf22["node"] !== "undefined") {
const data = tf22["node"].decodeJpeg(img);
const expanded = data.expandDims(0);
this.tf.dispose(data);
res = await this.detect(expanded, this.config);
@ -11994,11 +12045,15 @@ var Human = class {
}
return res;
});
get();
this.env = env2;
config.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf22.version_core}/dist/`;
config.modelBasePath = this.env.browser ? "../models/" : "file://models/";
config.backend = this.env.browser ? "humangl" : "tensorflow";
this.version = version;
Object.defineProperty(this, "version", { value: version });
config.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf21.version_core}/dist/`;
this.config = mergeDeep(config, userConfig || {});
this.tf = tf21;
this.tf = tf22;
this.draw = draw_exports;
this.state = "idle";
__privateSet(this, _numTensors, 0);
@ -12029,7 +12084,6 @@ var Human = class {
this.process = { tensor: null, canvas: null };
this.faceTriangulation = triangulation;
this.faceUVMap = uvmap;
this.sysinfo = info();
__privateSet(this, _lastInputSum, 1);
__privateGet(this, _emit).call(this, "create");
}
@ -12057,10 +12111,8 @@ var Human = class {
if (this.config.debug)
log(`tfjs version: ${this.tf.version_core}`);
if (this.config.debug)
log("platform:", this.sysinfo.platform);
if (this.config.debug)
log("agent:", this.sysinfo.agent);
await __privateGet(this, _checkBackend).call(this, true);
log("environment:", env2);
await __privateGet(this, _checkBackend).call(this);
if (this.tf.ENV.flags.IS_BROWSER) {
if (this.config.debug)
log("configuration:", this.config);
@ -12110,7 +12162,7 @@ var Human = class {
if (elapsedTime > 0)
this.performance.segmentation = elapsedTime;
if (this.process.canvas) {
tf21.dispose(this.process.tensor);
tf22.dispose(this.process.tensor);
this.process = process4(this.process.canvas, this.config);
}
this.analyze("End Segmentation:");
@ -12237,7 +12289,7 @@ var Human = class {
return join2(faceRes, bodyRes, handRes, gestureRes, shape);
}
};
tf21.dispose(this.process.tensor);
tf22.dispose(this.process.tensor);
__privateGet(this, _emit).call(this, "detect");
resolve(this.result);
});
@ -12278,5 +12330,6 @@ _warmupNode = new WeakMap();
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
Human,
defaults
defaults,
env
});

137
dist/human.node-wasm.js vendored
View File

@ -86,7 +86,8 @@ var require_tfjs_esm = __commonJS({
__export(exports, {
Human: () => Human,
default: () => Human,
defaults: () => config
defaults: () => config,
env: () => env2
});
// src/helpers.ts
@ -128,8 +129,8 @@ function mergeDeep(...objects) {
// src/config.ts
var config = {
backend: "humangl",
modelBasePath: "../models/",
backend: "",
modelBasePath: "",
wasmPath: "",
debug: true,
async: true,
@ -227,29 +228,8 @@ var config = {
}
};
// src/sysinfo.ts
function info() {
let platform = "";
let agent = "";
if (typeof navigator !== "undefined") {
const raw = navigator.userAgent.match(/\(([^()]+)\)/g);
if (raw && raw[0]) {
const platformMatch = raw[0].match(/\(([^()]+)\)/g);
platform = platformMatch && platformMatch[0] ? platformMatch[0].replace(/\(|\)/g, "") : "";
agent = navigator.userAgent.replace(raw[0], "");
if (platform[1])
agent = agent.replace(raw[1], "");
agent = agent.replace(/ /g, " ");
}
} else if (typeof process !== "undefined") {
platform = `${process.platform} ${process.arch}`;
agent = `NodeJS ${process.version}`;
}
return { platform, agent };
}
// src/human.ts
var tf21 = __toModule(require_tfjs_esm());
var tf22 = __toModule(require_tfjs_esm());
// src/tfjs/backend.ts
var tf = __toModule(require_tfjs_esm());
@ -11784,6 +11764,75 @@ SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T
lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/
2Q==`;
// src/env.ts
var tf21 = __toModule(require_tfjs_esm());
var env2 = {
browser: void 0,
node: void 0,
worker: void 0,
platform: void 0,
agent: void 0,
backends: [],
tfjs: {
version: void 0,
external: void 0
},
wasm: {
supported: void 0,
simd: void 0,
multithread: void 0
},
webgl: {
supported: void 0,
version: void 0,
renderer: void 0
},
webgpu: {
supported: void 0,
adapter: void 0
},
kernels: []
};
async function get() {
var _a;
env2.browser = typeof navigator !== "undefined";
env2.node = typeof process !== "undefined";
env2.worker = env2.browser ? typeof WorkerGlobalScope !== "undefined" : void 0;
env2.tfjs.version = tf21.version_core;
if (typeof navigator !== "undefined") {
const raw = navigator.userAgent.match(/\(([^()]+)\)/g);
if (raw && raw[0]) {
const platformMatch = raw[0].match(/\(([^()]+)\)/g);
env2.platform = platformMatch && platformMatch[0] ? platformMatch[0].replace(/\(|\)/g, "") : "";
env2.agent = navigator.userAgent.replace(raw[0], "");
if (env2.platform[1])
env2.agent = env2.agent.replace(raw[1], "");
env2.agent = env2.agent.replace(/ /g, " ");
}
} else if (typeof process !== "undefined") {
env2.platform = `${process.platform} ${process.arch}`;
env2.agent = `NodeJS ${process.version}`;
}
env2.backends = Object.keys(tf21.engine().registryFactory);
env2.wasm.supported = env2.backends.includes("wasm");
if (env2.wasm.supported) {
env2.wasm.simd = await tf21.env().getAsync("WASM_HAS_SIMD_SUPPORT");
env2.wasm.multithread = await tf21.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");
}
env2.webgl.supported = typeof tf21.backend().gpgpu !== "undefined";
if (env2.webgl.supported) {
const gl = await tf21.backend().getGPGPUContext().gl;
if (gl) {
env2.webgl.version = gl.getParameter(gl.VERSION);
env2.webgl.renderer = gl.getParameter(gl.RENDERER);
}
}
env2.webgpu.supported = env2.browser && typeof navigator["gpu"] !== "undefined";
if (env2.webgpu.supported)
env2.webgpu.adapter = (_a = await navigator["gpu"].requestAdapter()) == null ? void 0 : _a.name;
env2.kernels = tf21.getKernelsForBackend(tf21.getBackend()).map((kernel) => kernel.kernelName);
}
// package.json
var version = "2.2.0";
@ -11812,7 +11861,7 @@ var Human = class {
return null;
if (!input)
return "input is not defined";
if (this.tf.ENV.flags.IS_NODE && !(input instanceof tf21.Tensor))
if (this.tf.ENV.flags.IS_NODE && !(input instanceof tf22.Tensor))
return "input must be a tensor";
try {
this.tf.getBackend();
@ -11825,9 +11874,9 @@ var Human = class {
var _a;
return (_a = this.events) == null ? void 0 : _a.dispatchEvent(new Event(event));
});
__privateAdd(this, _checkBackend, async (force = false) => {
__privateAdd(this, _checkBackend, async () => {
var _a;
if (this.config.backend && this.config.backend.length > 0 && force || this.tf.getBackend() !== this.config.backend) {
if (__privateGet(this, _firstRun) || (this.config.backend && this.config.backend.length > 0 || this.tf.getBackend() !== this.config.backend)) {
const timeStamp = now();
this.state = "backend";
if (this.config.backend && this.config.backend.length > 0) {
@ -11839,7 +11888,7 @@ var Human = class {
this.config.backend = "humangl";
}
if (this.tf.ENV.flags.IS_NODE && (this.config.backend === "webgl" || this.config.backend === "humangl")) {
log("override: backend set to webgl while running in nodejs");
log(`override: backend set to ${this.config.backend} while running in nodejs`);
this.config.backend = "tensorflow";
}
if (this.tf.ENV.flags.IS_BROWSER && this.config.backend === "webgpu") {
@ -11900,6 +11949,8 @@ var Human = class {
this.tf.enableProdMode();
await this.tf.ready();
this.performance.backend = Math.trunc(now() - timeStamp);
get();
this.env = env2;
}
});
this.next = (result) => calc(result || this.result);
@ -11909,7 +11960,7 @@ var Human = class {
const resizeFact = 32;
if (!input.shape[1] || !input.shape[2])
return false;
const reduced = tf21.image.resizeBilinear(input, [Math.trunc(input.shape[1] / resizeFact), Math.trunc(input.shape[2] / resizeFact)]);
const reduced = tf22.image.resizeBilinear(input, [Math.trunc(input.shape[1] / resizeFact), Math.trunc(input.shape[2] / resizeFact)]);
const reducedData = await reduced.data();
let sum = 0;
for (let i = 0; i < reducedData.length / 3; i++)
@ -11983,8 +12034,8 @@ var Human = class {
if (!img)
return null;
let res;
if (typeof tf21["node"] !== "undefined") {
const data = tf21["node"].decodeJpeg(img);
if (typeof tf22["node"] !== "undefined") {
const data = tf22["node"].decodeJpeg(img);
const expanded = data.expandDims(0);
this.tf.dispose(data);
res = await this.detect(expanded, this.config);
@ -11995,11 +12046,15 @@ var Human = class {
}
return res;
});
get();
this.env = env2;
config.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf22.version_core}/dist/`;
config.modelBasePath = this.env.browser ? "../models/" : "file://models/";
config.backend = this.env.browser ? "humangl" : "tensorflow";
this.version = version;
Object.defineProperty(this, "version", { value: version });
config.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf21.version_core}/dist/`;
this.config = mergeDeep(config, userConfig || {});
this.tf = tf21;
this.tf = tf22;
this.draw = draw_exports;
this.state = "idle";
__privateSet(this, _numTensors, 0);
@ -12030,7 +12085,6 @@ var Human = class {
this.process = { tensor: null, canvas: null };
this.faceTriangulation = triangulation;
this.faceUVMap = uvmap;
this.sysinfo = info();
__privateSet(this, _lastInputSum, 1);
__privateGet(this, _emit).call(this, "create");
}
@ -12058,10 +12112,8 @@ var Human = class {
if (this.config.debug)
log(`tfjs version: ${this.tf.version_core}`);
if (this.config.debug)
log("platform:", this.sysinfo.platform);
if (this.config.debug)
log("agent:", this.sysinfo.agent);
await __privateGet(this, _checkBackend).call(this, true);
log("environment:", env2);
await __privateGet(this, _checkBackend).call(this);
if (this.tf.ENV.flags.IS_BROWSER) {
if (this.config.debug)
log("configuration:", this.config);
@ -12111,7 +12163,7 @@ var Human = class {
if (elapsedTime > 0)
this.performance.segmentation = elapsedTime;
if (this.process.canvas) {
tf21.dispose(this.process.tensor);
tf22.dispose(this.process.tensor);
this.process = process4(this.process.canvas, this.config);
}
this.analyze("End Segmentation:");
@ -12238,7 +12290,7 @@ var Human = class {
return join2(faceRes, bodyRes, handRes, gestureRes, shape);
}
};
tf21.dispose(this.process.tensor);
tf22.dispose(this.process.tensor);
__privateGet(this, _emit).call(this, "detect");
resolve(this.result);
});
@ -12279,5 +12331,6 @@ _warmupNode = new WeakMap();
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
Human,
defaults
defaults,
env
});

137
dist/human.node.js vendored
View File

@ -85,7 +85,8 @@ var require_tfjs_esm = __commonJS({
__export(exports, {
Human: () => Human,
default: () => Human,
defaults: () => config
defaults: () => config,
env: () => env2
});
// src/helpers.ts
@ -127,8 +128,8 @@ function mergeDeep(...objects) {
// src/config.ts
var config = {
backend: "humangl",
modelBasePath: "../models/",
backend: "",
modelBasePath: "",
wasmPath: "",
debug: true,
async: true,
@ -226,29 +227,8 @@ var config = {
}
};
// src/sysinfo.ts
function info() {
let platform = "";
let agent = "";
if (typeof navigator !== "undefined") {
const raw = navigator.userAgent.match(/\(([^()]+)\)/g);
if (raw && raw[0]) {
const platformMatch = raw[0].match(/\(([^()]+)\)/g);
platform = platformMatch && platformMatch[0] ? platformMatch[0].replace(/\(|\)/g, "") : "";
agent = navigator.userAgent.replace(raw[0], "");
if (platform[1])
agent = agent.replace(raw[1], "");
agent = agent.replace(/ /g, " ");
}
} else if (typeof process !== "undefined") {
platform = `${process.platform} ${process.arch}`;
agent = `NodeJS ${process.version}`;
}
return { platform, agent };
}
// src/human.ts
var tf21 = __toModule(require_tfjs_esm());
var tf22 = __toModule(require_tfjs_esm());
// src/tfjs/backend.ts
var tf = __toModule(require_tfjs_esm());
@ -11783,6 +11763,75 @@ SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T
lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/
2Q==`;
// src/env.ts
var tf21 = __toModule(require_tfjs_esm());
var env2 = {
browser: void 0,
node: void 0,
worker: void 0,
platform: void 0,
agent: void 0,
backends: [],
tfjs: {
version: void 0,
external: void 0
},
wasm: {
supported: void 0,
simd: void 0,
multithread: void 0
},
webgl: {
supported: void 0,
version: void 0,
renderer: void 0
},
webgpu: {
supported: void 0,
adapter: void 0
},
kernels: []
};
async function get() {
var _a;
env2.browser = typeof navigator !== "undefined";
env2.node = typeof process !== "undefined";
env2.worker = env2.browser ? typeof WorkerGlobalScope !== "undefined" : void 0;
env2.tfjs.version = tf21.version_core;
if (typeof navigator !== "undefined") {
const raw = navigator.userAgent.match(/\(([^()]+)\)/g);
if (raw && raw[0]) {
const platformMatch = raw[0].match(/\(([^()]+)\)/g);
env2.platform = platformMatch && platformMatch[0] ? platformMatch[0].replace(/\(|\)/g, "") : "";
env2.agent = navigator.userAgent.replace(raw[0], "");
if (env2.platform[1])
env2.agent = env2.agent.replace(raw[1], "");
env2.agent = env2.agent.replace(/ /g, " ");
}
} else if (typeof process !== "undefined") {
env2.platform = `${process.platform} ${process.arch}`;
env2.agent = `NodeJS ${process.version}`;
}
env2.backends = Object.keys(tf21.engine().registryFactory);
env2.wasm.supported = env2.backends.includes("wasm");
if (env2.wasm.supported) {
env2.wasm.simd = await tf21.env().getAsync("WASM_HAS_SIMD_SUPPORT");
env2.wasm.multithread = await tf21.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");
}
env2.webgl.supported = typeof tf21.backend().gpgpu !== "undefined";
if (env2.webgl.supported) {
const gl = await tf21.backend().getGPGPUContext().gl;
if (gl) {
env2.webgl.version = gl.getParameter(gl.VERSION);
env2.webgl.renderer = gl.getParameter(gl.RENDERER);
}
}
env2.webgpu.supported = env2.browser && typeof navigator["gpu"] !== "undefined";
if (env2.webgpu.supported)
env2.webgpu.adapter = (_a = await navigator["gpu"].requestAdapter()) == null ? void 0 : _a.name;
env2.kernels = tf21.getKernelsForBackend(tf21.getBackend()).map((kernel) => kernel.kernelName);
}
// package.json
var version = "2.2.0";
@ -11811,7 +11860,7 @@ var Human = class {
return null;
if (!input)
return "input is not defined";
if (this.tf.ENV.flags.IS_NODE && !(input instanceof tf21.Tensor))
if (this.tf.ENV.flags.IS_NODE && !(input instanceof tf22.Tensor))
return "input must be a tensor";
try {
this.tf.getBackend();
@ -11824,9 +11873,9 @@ var Human = class {
var _a;
return (_a = this.events) == null ? void 0 : _a.dispatchEvent(new Event(event));
});
__privateAdd(this, _checkBackend, async (force = false) => {
__privateAdd(this, _checkBackend, async () => {
var _a;
if (this.config.backend && this.config.backend.length > 0 && force || this.tf.getBackend() !== this.config.backend) {
if (__privateGet(this, _firstRun) || (this.config.backend && this.config.backend.length > 0 || this.tf.getBackend() !== this.config.backend)) {
const timeStamp = now();
this.state = "backend";
if (this.config.backend && this.config.backend.length > 0) {
@ -11838,7 +11887,7 @@ var Human = class {
this.config.backend = "humangl";
}
if (this.tf.ENV.flags.IS_NODE && (this.config.backend === "webgl" || this.config.backend === "humangl")) {
log("override: backend set to webgl while running in nodejs");
log(`override: backend set to ${this.config.backend} while running in nodejs`);
this.config.backend = "tensorflow";
}
if (this.tf.ENV.flags.IS_BROWSER && this.config.backend === "webgpu") {
@ -11899,6 +11948,8 @@ var Human = class {
this.tf.enableProdMode();
await this.tf.ready();
this.performance.backend = Math.trunc(now() - timeStamp);
get();
this.env = env2;
}
});
this.next = (result) => calc(result || this.result);
@ -11908,7 +11959,7 @@ var Human = class {
const resizeFact = 32;
if (!input.shape[1] || !input.shape[2])
return false;
const reduced = tf21.image.resizeBilinear(input, [Math.trunc(input.shape[1] / resizeFact), Math.trunc(input.shape[2] / resizeFact)]);
const reduced = tf22.image.resizeBilinear(input, [Math.trunc(input.shape[1] / resizeFact), Math.trunc(input.shape[2] / resizeFact)]);
const reducedData = await reduced.data();
let sum = 0;
for (let i = 0; i < reducedData.length / 3; i++)
@ -11982,8 +12033,8 @@ var Human = class {
if (!img)
return null;
let res;
if (typeof tf21["node"] !== "undefined") {
const data = tf21["node"].decodeJpeg(img);
if (typeof tf22["node"] !== "undefined") {
const data = tf22["node"].decodeJpeg(img);
const expanded = data.expandDims(0);
this.tf.dispose(data);
res = await this.detect(expanded, this.config);
@ -11994,11 +12045,15 @@ var Human = class {
}
return res;
});
get();
this.env = env2;
config.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf22.version_core}/dist/`;
config.modelBasePath = this.env.browser ? "../models/" : "file://models/";
config.backend = this.env.browser ? "humangl" : "tensorflow";
this.version = version;
Object.defineProperty(this, "version", { value: version });
config.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf21.version_core}/dist/`;
this.config = mergeDeep(config, userConfig || {});
this.tf = tf21;
this.tf = tf22;
this.draw = draw_exports;
this.state = "idle";
__privateSet(this, _numTensors, 0);
@ -12029,7 +12084,6 @@ var Human = class {
this.process = { tensor: null, canvas: null };
this.faceTriangulation = triangulation;
this.faceUVMap = uvmap;
this.sysinfo = info();
__privateSet(this, _lastInputSum, 1);
__privateGet(this, _emit).call(this, "create");
}
@ -12057,10 +12111,8 @@ var Human = class {
if (this.config.debug)
log(`tfjs version: ${this.tf.version_core}`);
if (this.config.debug)
log("platform:", this.sysinfo.platform);
if (this.config.debug)
log("agent:", this.sysinfo.agent);
await __privateGet(this, _checkBackend).call(this, true);
log("environment:", env2);
await __privateGet(this, _checkBackend).call(this);
if (this.tf.ENV.flags.IS_BROWSER) {
if (this.config.debug)
log("configuration:", this.config);
@ -12110,7 +12162,7 @@ var Human = class {
if (elapsedTime > 0)
this.performance.segmentation = elapsedTime;
if (this.process.canvas) {
tf21.dispose(this.process.tensor);
tf22.dispose(this.process.tensor);
this.process = process4(this.process.canvas, this.config);
}
this.analyze("End Segmentation:");
@ -12237,7 +12289,7 @@ var Human = class {
return join2(faceRes, bodyRes, handRes, gestureRes, shape);
}
};
tf21.dispose(this.process.tensor);
tf22.dispose(this.process.tensor);
__privateGet(this, _emit).call(this, "detect");
resolve(this.result);
});
@ -12278,5 +12330,6 @@ _warmupNode = new WeakMap();
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
Human,
defaults
defaults,
env
});

6
src/config.ts
View File

@ -246,9 +246,11 @@ export interface Config {
*
*/
const config: Config = {
backend: 'humangl', // select tfjs backend to use, leave empty to use default backend
backend: '', // select tfjs backend to use, leave empty to use default backend
// can be 'webgl', 'wasm', 'cpu', or 'humangl' which is a custom version of webgl
modelBasePath: '../models/', // base path for all models
// default set to `humangl` for browsers and `tensorflow` for nodejs
modelBasePath: '', // base path for all models
// default set to `../models/` for browsers and `file://models/` for nodejs
wasmPath: '', // path for wasm binaries, only used for backend: wasm
// default set to download from jsdeliv during Human class instantiation
debug: true, // print additional status messages to console

128
src/env.ts Normal file
View File

@ -0,0 +1,128 @@
import * as tf from '../dist/tfjs.esm.js';
export interface Env {
browser: undefined | boolean,
node: undefined | boolean,
worker: undefined | boolean,
platform: undefined | string,
agent: undefined | string,
backends: string[],
tfjs: {
version: undefined | string,
external: undefined | boolean,
},
wasm: {
supported: undefined | boolean,
simd: undefined | boolean,
multithread: undefined | boolean,
},
webgl: {
supported: undefined | boolean,
version: undefined | string,
renderer: undefined | string,
},
webgpu: {
supported: undefined | boolean,
adapter: undefined | string,
},
kernels: string[],
}
export const env: Env = {
browser: undefined,
node: undefined,
worker: undefined,
platform: undefined,
agent: undefined,
backends: [],
tfjs: {
version: undefined,
external: undefined,
},
wasm: {
supported: undefined,
simd: undefined,
multithread: undefined,
},
webgl: {
supported: undefined,
version: undefined,
renderer: undefined,
},
webgpu: {
supported: undefined,
adapter: undefined,
},
kernels: [],
};
export function cpuinfo() {
const cpu = { model: '', flags: [] };
if (env.node && env.platform?.startsWith('linux')) {
// eslint-disable-next-line global-require
const fs = require('fs');
try {
const data = fs.readFileSync('/proc/cpuinfo').toString();
for (const line of data.split('\n')) {
if (line.startsWith('model name')) {
cpu.model = line.match(/:(.*)/g)[0].replace(':', '').trim();
}
if (line.startsWith('flags')) {
cpu.flags = line.match(/:(.*)/g)[0].replace(':', '').trim().split(' ').sort();
}
}
} catch { /**/ }
}
if (!env['cpu']) Object.defineProperty(env, 'cpu', { value: cpu });
else env['cpu'] = cpu;
}
export async function get() {
env.browser = typeof navigator !== 'undefined';
env.node = typeof process !== 'undefined';
// @ts-ignore WorkerGlobalScope evaluated in browser only
env.worker = env.browser ? (typeof WorkerGlobalScope !== 'undefined') : undefined;
env.tfjs.version = tf.version_core;
// get platform and agent
if (typeof navigator !== 'undefined') {
const raw = navigator.userAgent.match(/\(([^()]+)\)/g);
if (raw && raw[0]) {
const platformMatch = raw[0].match(/\(([^()]+)\)/g);
env.platform = (platformMatch && platformMatch[0]) ? platformMatch[0].replace(/\(|\)/g, '') : '';
env.agent = navigator.userAgent.replace(raw[0], '');
if (env.platform[1]) env.agent = env.agent.replace(raw[1], '');
env.agent = env.agent.replace(/ /g, ' ');
}
} else if (typeof process !== 'undefined') {
env.platform = `${process.platform} ${process.arch}`;
env.agent = `NodeJS ${process.version}`;
}
// analyze backends
env.backends = Object.keys(tf.engine().registryFactory);
env.wasm.supported = env.backends.includes('wasm');
if (env.wasm.supported) {
env.wasm.simd = await tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');
env.wasm.multithread = await tf.env().getAsync('WASM_HAS_MULTITHREAD_SUPPORT');
}
env.webgl.supported = typeof tf.backend().gpgpu !== 'undefined';
if (env.webgl.supported) {
// @ts-ignore getGPGPUContext only exists on WebGL backend
const gl = await tf.backend().getGPGPUContext().gl;
if (gl) {
env.webgl.version = gl.getParameter(gl.VERSION);
env.webgl.renderer = gl.getParameter(gl.RENDERER);
}
}
env.webgpu.supported = env.browser && typeof navigator['gpu'] !== 'undefined';
if (env.webgpu.supported) env.webgpu.adapter = (await navigator['gpu'].requestAdapter())?.name;
// enumerate kernels
env.kernels = tf.getKernelsForBackend(tf.getBackend()).map((kernel) => kernel.kernelName);
// get cpu info
// cpuinfo();
}

30
src/human.ts
View File

@ -5,7 +5,6 @@
import { log, now, mergeDeep } from './helpers';
import { Config, defaults } from './config';
import { Result, FaceResult, HandResult, BodyResult, ObjectResult, GestureResult } from './result';
import * as sysinfo from './sysinfo';
import * as tf from '../dist/tfjs.esm.js';
import * as backend from './tfjs/backend';
import * as models from './models';
@ -26,6 +25,7 @@ import * as draw from './draw/draw';
import * as persons from './persons';
import * as interpolate from './interpolate';
import * as sample from './sample';
import * as env from './env';
import * as app from '../package.json';
import { Tensor, GraphModel } from './tfjs/types';
@ -33,6 +33,7 @@ import { Tensor, GraphModel } from './tfjs/types';
export * from './config';
export * from './result';
export type { DrawOptions } from './draw/draw';
export { env } from './env';
/** Defines all possible input types for **Human** detection
* @typedef Input Type
@ -93,6 +94,10 @@ export class Human {
* - Can be embedded or externally provided
*/
tf: TensorFlow;
/**
* Object containing environment information used for diagnostics
*/
env: env.Env;
/** Draw helper classes that can draw detected objects on canvas using specified draw
* - options: {@link DrawOptions} global settings for all draw operations, can be overriden for each draw method
* - face: draw detected faces
@ -141,8 +146,6 @@ export class Human {
faceTriangulation: typeof facemesh.triangulation;
/** Refernce UV map of 468 values, used for 3D mapping of the face mesh */
faceUVMap: typeof facemesh.uvmap;
/** Platform and agent information detected by Human */
sysinfo: { platform: string, agent: string };
/** Performance object that contains values for all recently performed operations */
performance: Record<string, number>; // perf members are dynamically defined as needed
#numTensors: number;
@ -159,9 +162,13 @@ export class Human {
* @param userConfig: {@link Config}
*/
constructor(userConfig?: Partial<Config>) {
env.get();
this.env = env.env;
defaults.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf.version_core}/dist/`;
defaults.modelBasePath = this.env.browser ? '../models/' : 'file://models/';
defaults.backend = this.env.browser ? 'humangl' : 'tensorflow';
this.version = app.version; // expose version property on instance of class
Object.defineProperty(this, 'version', { value: app.version }); // expose version property directly on class itself
defaults.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf.version_core}/dist/`;
this.config = mergeDeep(defaults, userConfig || {});
this.tf = tf;
this.draw = draw;
@ -199,7 +206,6 @@ export class Human {
this.faceTriangulation = facemesh.triangulation;
this.faceUVMap = facemesh.uvmap;
// include platform info
this.sysinfo = sysinfo.info();
this.#lastInputSum = 1;
this.#emit('create');
}
@ -287,10 +293,9 @@ export class Human {
if (this.#firstRun) { // print version info on first run and check for correct backend setup
if (this.config.debug) log(`version: ${this.version}`);
if (this.config.debug) log(`tfjs version: ${this.tf.version_core}`);
if (this.config.debug) log('platform:', this.sysinfo.platform);
if (this.config.debug) log('agent:', this.sysinfo.agent);
if (this.config.debug) log('environment:', env.env);
await this.#checkBackend(true);
await this.#checkBackend();
if (this.tf.ENV.flags.IS_BROWSER) {
if (this.config.debug) log('configuration:', this.config);
if (this.config.debug) log('tf flags:', this.tf.ENV.flags);
@ -316,8 +321,8 @@ export class Human {
// check if backend needs initialization if it changed
/** @hidden */
#checkBackend = async (force = false) => {
if (this.config.backend && (this.config.backend.length > 0) && force || (this.tf.getBackend() !== this.config.backend)) {
#checkBackend = async () => {
if (this.#firstRun || (this.config.backend && (this.config.backend.length > 0) || (this.tf.getBackend() !== this.config.backend))) {
const timeStamp = now();
this.state = 'backend';
/* force backend reload
@ -343,7 +348,7 @@ export class Human {
this.config.backend = 'humangl';
}
if (this.tf.ENV.flags.IS_NODE && (this.config.backend === 'webgl' || this.config.backend === 'humangl')) {
log('override: backend set to webgl while running in nodejs');
log(`override: backend set to ${this.config.backend} while running in nodejs`);
this.config.backend = 'tensorflow';
}
@ -410,6 +415,9 @@ export class Human {
this.tf.enableProdMode();
await this.tf.ready();
this.performance.backend = Math.trunc(now() - timeStamp);
env.get(); // update env on backend init
this.env = env.env;
}
}

21
src/sysinfo.ts
View File

@ -1,21 +0,0 @@
/**
* Helper function that returns basic system info
*/
export function info(): { platform: string, agent: string } {
let platform = '';
let agent = '';
if (typeof navigator !== 'undefined') {
const raw = navigator.userAgent.match(/\(([^()]+)\)/g);
if (raw && raw[0]) {
const platformMatch = raw[0].match(/\(([^()]+)\)/g);
platform = (platformMatch && platformMatch[0]) ? platformMatch[0].replace(/\(|\)/g, '') : '';
agent = navigator.userAgent.replace(raw[0], '');
if (platform[1]) agent = agent.replace(raw[1], '');
agent = agent.replace(/ /g, ' ');
}
} else if (typeof process !== 'undefined') {
platform = `${process.platform} ${process.arch}`;
agent = `NodeJS ${process.version}`;
}
return { platform, agent };
}

2047
test/build.log
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2
typedoc/assets/js/search.js
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96
typedoc/classes/Human.html
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24
typedoc/index.html
View File

@ -110,6 +110,7 @@
<h3>Variables</h3>
<ul class="tsd-index-list">
<li class="tsd-kind-variable"><a href="index.html#defaults" class="tsd-kind-icon">defaults</a></li>
<li class="tsd-kind-variable"><a href="index.html#env" class="tsd-kind-icon">env</a></li>
</ul>
</section>
</div>
@ -131,7 +132,7 @@
<div class="tsd-signature tsd-kind-icon">Error<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">{ </span>error<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><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/human.ts#L54">human.ts:54</a></li>
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L55">human.ts:55</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@ -154,7 +155,7 @@
<div class="tsd-signature tsd-kind-icon">Events<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">&quot;create&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;load&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;image&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;result&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;warmup&quot;</span></div>
<aside class="tsd-sources">
<ul>
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L49">human.ts:49</a></li>
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L50">human.ts:50</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@ -191,7 +192,7 @@
<div class="tsd-signature tsd-kind-icon">Input<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Tensor</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-symbol">typeof </span><span class="tsd-signature-type">Image</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">ImageData</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">ImageBitmap</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLImageElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLMediaElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLVideoElement</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/human.ts#L40">human.ts:40</a></li>
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L41">human.ts:41</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@ -206,7 +207,7 @@
<div class="tsd-signature tsd-kind-icon">Tensor<wbr>Flow<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">typeof </span><span class="tsd-signature-type">tf</span></div>
<aside class="tsd-sources">
<ul>
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L59">human.ts:59</a></li>
<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L60">human.ts:60</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@ -233,10 +234,20 @@
</aside>
<div class="tsd-comment tsd-typography">
<div class="lead">
<p><a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L244">Default values</a> for {@Config}</p>
<p><a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L244">See all default Config values...</a></p>
</div>
</div>
</section>
<section class="tsd-panel tsd-member tsd-kind-variable">
<a name="env" class="tsd-anchor"></a>
<h3><span class="tsd-flag ts-flagConst">Const</span> env</h3>
<div class="tsd-signature tsd-kind-icon">env<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Env</span><span class="tsd-signature-symbol"> = ...</span></div>
<aside class="tsd-sources">
<ul>
<li>Defined in env.ts:31</li>
</ul>
</aside>
</section>
</section>
</div>
<div class="col-4 col-menu menu-sticky-wrap menu-highlight">
@ -333,6 +344,9 @@
<li class=" tsd-kind-variable">
<a href="index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
<li class=" tsd-kind-variable">
<a href="index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
</nav>
</div>

3
typedoc/interfaces/BodyConfig.html
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@ -270,6 +270,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
<li class=" tsd-kind-variable">
<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
</nav>
</div>

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typedoc/interfaces/BodyResult.html
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@ -276,6 +276,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
<li class=" tsd-kind-variable">
<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
</nav>
</div>

3
typedoc/interfaces/Config.html
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@ -468,6 +468,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
<li class=" tsd-kind-variable">
<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
</nav>
</div>

3
typedoc/interfaces/DrawOptions.html
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@ -449,6 +449,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
<li class=" tsd-kind-variable">
<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
</nav>
</div>

3
typedoc/interfaces/FaceConfig.html
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@ -289,6 +289,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
<li class=" tsd-kind-variable">
<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
</nav>
</div>

3
typedoc/interfaces/FaceDescriptionConfig.html
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@ -243,6 +243,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
<li class=" tsd-kind-variable">
<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
</nav>
</div>

3
typedoc/interfaces/FaceDetectorConfig.html
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@ -285,6 +285,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
<li class=" tsd-kind-variable">
<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
</nav>
</div>

3
typedoc/interfaces/FaceEmotionConfig.html
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@ -243,6 +243,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
<li class=" tsd-kind-variable">
<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
</nav>
</div>

3
typedoc/interfaces/FaceIrisConfig.html
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@ -215,6 +215,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
<li class=" tsd-kind-variable">
<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
</nav>
</div>

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typedoc/interfaces/FaceMeshConfig.html
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@ -215,6 +215,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
<li class=" tsd-kind-variable">
<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
</nav>
</div>

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typedoc/interfaces/FaceResult.html
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@ -491,6 +491,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
<li class=" tsd-kind-variable">
<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
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typedoc/interfaces/FilterConfig.html
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@ -544,6 +544,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
<li class=" tsd-kind-variable">
<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
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typedoc/interfaces/GestureConfig.html
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@ -208,6 +208,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
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<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
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typedoc/interfaces/HandConfig.html
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@ -345,6 +345,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
<li class=" tsd-kind-variable">
<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
</nav>
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typedoc/interfaces/HandResult.html
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@ -302,6 +302,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
<li class=" tsd-kind-variable">
<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
</nav>
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typedoc/interfaces/ObjectConfig.html
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@ -285,6 +285,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
<li class=" tsd-kind-variable">
<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
</nav>
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typedoc/interfaces/ObjectResult.html
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@ -289,6 +289,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
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<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
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typedoc/interfaces/PersonResult.html
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@ -318,6 +318,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
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<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
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typedoc/interfaces/Result.html
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@ -366,6 +366,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
<li class=" tsd-kind-variable">
<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
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typedoc/interfaces/SegmentationConfig.html
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@ -230,6 +230,9 @@
<li class=" tsd-kind-variable">
<a href="../index.html#defaults" class="tsd-kind-icon">defaults</a>
</li>
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<a href="../index.html#env" class="tsd-kind-icon">env</a>
</li>
</ul>
</nav>
</div>

2
types/src/config.d.ts vendored
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@ -209,7 +209,7 @@ export interface Config {
segmentation: Partial<SegmentationConfig>;
}
/**
* [Default values](https://github.com/vladmandic/human/blob/main/src/config.ts#L244) for {@Config}
* [See all default Config values...](https://github.com/vladmandic/human/blob/main/src/config.ts#L244)
*
*/
declare const config: Config;

30
types/src/env.d.ts vendored Normal file
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@ -0,0 +1,30 @@
export interface Env {
browser: undefined | boolean;
node: undefined | boolean;
worker: undefined | boolean;
platform: undefined | string;
agent: undefined | string;
backends: string[];
tfjs: {
version: undefined | string;
external: undefined | boolean;
};
wasm: {
supported: undefined | boolean;
simd: undefined | boolean;
multithread: undefined | boolean;
};
webgl: {
supported: undefined | boolean;
version: undefined | string;
renderer: undefined | string;
};
webgpu: {
supported: undefined | boolean;
adapter: undefined | string;
};
kernels: string[];
}
export declare const env: Env;
export declare function cpuinfo(): void;
export declare function get(): Promise<void>;

11
types/src/human.d.ts vendored
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@ -7,10 +7,12 @@ 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 * as env from './env';
import { Tensor, GraphModel } from './tfjs/types';
export * from './config';
export * from './result';
export type { DrawOptions } from './draw/draw';
export { env } from './env';
/** Defines all possible input types for **Human** detection
* @typedef Input Type
*/
@ -72,6 +74,10 @@ export declare class Human {
* - Can be embedded or externally provided
*/
tf: TensorFlow;
/**
* Object containing environment information used for diagnostics
*/
env: env.Env;
/** Draw helper classes that can draw detected objects on canvas using specified draw
* - options: {@link DrawOptions} global settings for all draw operations, can be overriden for each draw method
* - face: draw detected faces
@ -120,11 +126,6 @@ export declare class Human {
faceTriangulation: typeof facemesh.triangulation;
/** Refernce UV map of 468 values, used for 3D mapping of the face mesh */
faceUVMap: typeof facemesh.uvmap;
/** Platform and agent information detected by Human */
sysinfo: {
platform: string;
agent: string;
};
/** Performance object that contains values for all recently performed operations */
performance: Record<string, number>;
/**

7
types/src/sysinfo.d.ts vendored
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@ -1,7 +0,0 @@
/**
* Helper function that returns basic system info
*/
export declare function info(): {
platform: string;
agent: string;
};

2
wiki

@ -1 +1 @@
Subproject commit ec49beb9f19c0abde3e62b24ba2c7749ef54c9aa
Subproject commit ee12bda3113d3d893c898a9827f9c174d4058fb8