Quick setup and requirements

Requirements

• Python 3.12.7
• opencv 4.10.0
• matplotlib 3.9.2
• tqdm 4.66.5
• numpy 2.1.3
• notebook 7.2.2

Environment setup

There is a .yml file of the conda environment named environment_cava.yml. It can be build using:

    conda env create -f environment_cava.yml

The environments should be activated by default, otherwise it can be activated manually.

    conda activate environment_cava

Manual line by line installation:

    conda create --name environment_cava 
    conda activate environment_cava 
    conda install -c conda-forge opencv 
    conda install matplotlib 
    conda install tqdm 
    conda install notebook 

How to run the solver

The jupyter notebook file main.ipynb contains the main cell that initializes and runs solvers for all 3 tasks.

The 2 main variables are:

• source_images_dir - the path to the directory where all images are located
• output_destination_dir - the path to the directory where the output will be stored

Notes

The project contains 4 different template directories. The templates used to classify each game cell are in templates_cropped directory. This directory must not be changed.