In this folder you will find the files to apply cross validation over your dataset. Currently single time split (train/val/test) and K-fold validation are supported.
- amount_data.py: This file allows you to count the images in your dataset splits.
- create_dataset.py: Here you will create the csvs file for the three dataset splits (train/val/test). You should change the code according to your own dataset.
- create_dataset_k_fold.py: This file creates the csvs files for k-fold validation. You should change the code according to your own dataset.
To create the csvs files for a validation you should run:
python create_dataset.pyorpython create_dataset_k_fold.pyThis will look into a folder containig the data and create the csvs the model is going to use for training and testing.python amount_data.pyIn case you want to make sure how many images are in total within each split.
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
