update docs

pull/91/head
Vladimir Mandic 2021-03-13 12:13:45 -05:00
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<br>
Native JavaScript module using TensorFlow/JS Machine Learning library
Compatible with *Browser*, *WebWorker* and *NodeJS* execution on both Windows and Linux
JavaScript module using TensorFlow/JS Machine Learning library
- Browser/WebWorker: Compatible with *CPU*, *WebGL*, *WASM* and *WebGPU* backends
- NodeJS: Compatible with software *tfjs-node* and CUDA accelerated backends *tfjs-node-gpu*
- **Browser**:
Compatible with *CPU*, *WebGL*, *WASM* backends
Compatible with both desktop and mobile platforms
Compatible with *WebWorker* execution
- **NodeJS**:
Compatible with both software *tfjs-node* and GPU accelerated backends *tfjs-node-gpu* using CUDA libraries
Check out [**Live Demo**](https://vladmandic.github.io/human/demo/index.html) for processing of live WebCam video or static images
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detectVideo();
```
<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**
<br>
![Downloads](https://img.shields.io/npm/dm/@vladmandic/human?style=flat-square)

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## WiP Items
- face.tensor should return image in correct aspect ratio
- box sizing on mobile
## Issues

2
wiki

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Subproject commit e2b0650450763e8a716c966309946564625b53a8