CNN vehicles image classificator build with PyTorch
It's possible to install the environment using the environment.yml or the requirements.txt file.
Using environment.yml:
conda env create -f environment.yml
Using requirements.txt
conda create --name vehicle-classification --file requirements.txt
To activate the environment after installation use
activate vehicle-classification (Windows) or source activate vehicle-classification (Linux)
Activate the envirtoment and then run:
conda env update --file environment.yml
Follow the instructions below to contribute in this project:
- Install the conda virtual environment;
- Pick/Create an issue with the progress, set to 'TO DO', assign to yourself, create a branch with the name of <number of the branch>-<description> e.g. 1-dataset-collection, 4-script-to-load-dataset;
- Make all the commits related to the issue in the created branch, once the work is done create a pull request to master and assign a code reviewer. Wait for the reviewer to aprove your pull request and finnaly merge into master.