This project is a simple demonstration of using TensorFlow.js's Face landmark detection to acheive simple SnapChat-like filters in the browser, allowing the user to take a snapshot and save the end result.

This project is a work in progress...

• Improve this README
• Refactor and do my best impression of an MVC pattern
• Manage to get a face landmarker model loaded
• Extract the menu logic into an overall App class
• Get webcam stream and display it back to the user
• Create a simple filter and use it

To install the project, just run the usual:

npm install

This will install all the necessary dependencies listed in the package.json file. Right now, there are none besides some basic development dependencies. It assumes you have Sass and TypeScript installed globally.

To build the project, run:

npm run build

This will allegedly use Parcel to bundle the project and output the result in the dist directory, although I've never done it myself. I'm considering moving this project to Vite.

To start the development server, run:

npm run dev

This will start a Parcel development server with hot module replacement.

This project uses several dependencies:

• TensorFlow.js and its CPU and WebGL backends for running the object detection model.
• The COCO-SSD model for object detection.
• Parcel for bundling the project.
• Sass for styling.
• License:
  • This project is licensed under the MIT license.