francisquintallauzon / cvops

ML Ops training at CRIM

Computer Vision Ops

A simple template for static image analysis operations in computer vision, with a list of automation tool used. This can be a nice primer for anyone starting with in ML Ops to understanding the basics of setting up a production grade project.

Project features:

• A fully functionning U-Net implementation
• Documented list of tools used to setup this project
• Some tutorials for setting up tools used in this project

This repo is in active development and still finding its purpose...

Setup your environment

Once you've cloned or forked this project, cd to the project root from your terminal and run the following commands.

pip install poetry
poetry install

Running command poetry install will create a venv and install all dependencies using poetry.lock file.

Running training

To run training, use poetry run wich will ensure that the right venv is used.

poetry run python ./cvops/train.py

Running tests

This project uses pytest for running tests. To run test, run this command from the

poetry run pytest

Project documentation

Project documentation is located here : https://cvops.readthedocs.io/