### Install and Run Demo

Source: https://github.com/victordibia/handtrack.js/blob/master/README.md

Install the necessary dependencies and start the demo server. The demo can be accessed via HTTP.

```javascript
npm install
npm run start
```

--------------------------------

### Install Handtrack.js via NPM

Source: https://github.com/victordibia/handtrack.js/blob/master/README.md

Install the Handtrack.js library using npm for use in Node.js projects or modern JavaScript build pipelines. This is the recommended method for project integration.

```shell
npm install --save handtrackjs
```

--------------------------------

### Import and Use Handtrack.js via NPM

Source: https://github.com/victordibia/handtrack.js/blob/master/README.md

Import the Handtrack.js library after installation via npm. This code demonstrates loading the model and detecting hands in an image element.

```javascript
import * as handTrack from 'handtrackjs';

const img = document.getElementById('img'); 
const model =  await handTrack.load();
const predictions = await model.detect(img);
```

--------------------------------

### Import Handtrack.js via Script Tag

Source: https://github.com/victordibia/handtrack.js/blob/master/README.md

Load the Handtrack.js library using a script tag. Ensure CORS settings allow reading the image. This method is suitable for browser-based applications.

```html
<script src="https://cdn.jsdelivr.net/npm/handtrackjs@latest/dist/handtrack.min.js"> </script>

<!-- Replace this with your image. Make sure CORS settings allow reading the image! -->
<img id="img" src="hand.jpg"/>  

<!-- Place your code in the script tag below. You can also use an external .js file -->
<script>
  const img = document.getElementById('img'); 
  const model =  await handTrack.load();
  const predictions = await model.detect(img); 
</script>
```

--------------------------------

### BibTeX Citation

Source: https://github.com/victordibia/handtrack.js/blob/master/README.md

Use this BibTeX entry to cite the HandTrack.js project in academic work.

```bibtex
@article{Dibia2017,
  author = {Victor, Dibia},
  title = {HandTrack: A Library For Prototyping Real-time Hand TrackingInterfaces using Convolutional Neural Networks},
  year = {2017},
  publisher = {GitHub},
  journal = {GitHub repository},
  url = {https://github.com/victordibia/handtracking/tree/master/docs/handtrack.pdf},
}
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.