Mull Recognition

This repository contains the source code and development tools for Mull Recognition, which is a standalone application implementing the waste detection tool from RGPosadas/Mull.

Mull Recognition implements real-time object detection in the browser, and is capable of classifying the appropriate action to take for the given waste (trash, recycle, etc.). It is implemented using Tensorflow, and leverages a TensorflowJS model trained on custom data.

See cristian-aldea/mull-model for the model files used by this application.

• Mull Recognition
  • Requirements
  • Development
  • Building

Requirements

To develop and contribute to this repository you will need the following:

• the latest LTS nodejs version

To install the project's dependencies:

npm i

Development

To serve the application locally:

npm start

To lint the typescript code using eslint:

npm run lint

To upgrade all packages to their latest version:

npm run update

Building

See the the docker README for details on how to build and run application for production.