ImgAug.py

import imgaug as ia
from imgaug import augmenters as iaa

augmentation_flip_x_change = 0.5

augmenter = iaa.Sequential(
            [
                iaa.SomeOf(augmentations_done_range,
                           [
                               iaa.Fliplr(augmentation_flip_x_change)
                           ],
                           random_order=True, random_state=seed
                           )
            ], random_order=True, random_state=seed
        )

aug_imgs = augmenter.augment_images(np.array(ARRAY_IMAGENS))

for i, img in enumerate(aug_imgs):
    fig.add_subplot(rows, columns, i+1)
    plt.imshow(img)
plt.show()