This repo contains source code for a PyTorch machine learning model classifies images of Ugandan foods. Emmere means food in Luganda, a local language in Uganda.

In Uganda, which is the Pearl of Africa and the tourist hotspot in East Africa, there are many local foods that are not well known to the world. The hope is that this machine learning model is that it shall accelerate nutritional related research in Uganda and the world at large by providing a way to classify images of Ugandan foods.

TBD

TBD

Clone the repository by running the following command in your terminal:

git clone https://github.com/mwanjajoel/emmere

Create a Python virtual environment. We use Pipenv to manage our virtual environment. You can install it by running the following command in your terminal:

pip install pipenv

Create a virtual environment by running the following command in your terminal:

pipenv shell

Activate the virtual environment by running the following command in your terminal:

pipenv shell

Install the dependencies by running the following command in your terminal:

pipenv install

• Run application

TBD

TBD

black .

Please follow our Bug Report Guide on how to submit your issue.

Please follow our Feature Request Guide on how to submit a feature request

We follow a strict code of conduct and you can read it Here

Emmere was designed and built by Mwanja Joel and is licensed under the MIT license; for the full license please see the LICENSE file.

Please see the AUTHORS file for the full list of contributors.

If you find Emmere useful and want to reach out, find me on Twitter: @mrjoelmwanja.