NOTE: To run this code, please create and install a conda environment using the conda-env.yml file.
All code used from other sources are referenced in respective notebooks.
MNIST-dataset.ipynb
contains the code that trained the model with an MNIST dataset, and custom-dataset.ipynb
has the code where the custom images were collected, processed and trained the CNN.
Finally, model-testing.ipynb
simply loads the model and uses OpenCV to generate unlabelled images and test the model.