Examples can be found in mixup_example.ipynb
from customized_mixup import customized_mixup
images, labels = customized_mixup(images, labels, num_classes, alpha=1.0, mixup_data_only=True, enlarge_scale=2)
alpha: alpha for the Beta distribution used for sampling interpolation factors.
enlarge_scale: The enlarged scale of the dataset with mixup. We generate enlarge_scale augmented images for each image in the training set.
mixup_data_only: Whether we only use mixup augmented data.
num_classes: Number of classes