Accelerating conservation with AI
This codebase was created for a senior design project in COE 374. This project is currently in development.
There are two main projects within this monorepo. One for training AI models and another
for using the models in the browser. The browser application is housed in
wild_sight/web.
It's recommended for this code to be run on Ubuntu. As of February 2021, Ubuntu 18.04 is the main development OS, but 20.xx likely works, too. You may also use WSL.
To get the environment setup, run:
python3 -m pip install -r requirements.txtPYTHONPATH=. wild_sight/train/detection/train.py \
--config wild_sight/train/configs/vovnet-det.yaml
Change directory into wild_sight/web and find the README in that folder. There you
will see the instructions for setting up the web project.