Awesome

imax

Image augmentation library for Jax.

Installation

pip install imax

Usage

from jax import random
import jax.numpy as jnp
from PIL import Image
from matplotlib import pyplot as plt
from mpl_toolkits.axes_grid1 import ImageGrid

from imax import transforms, color_transforms, randaugment

# Setup
random_key = random.PRNGKey(32)
random_key, split_key = random.split(random_key)
image = jnp.asarray(Image.open('./test.jpeg').convert('RGBA')).astype('uint8')

# Geometric transforms:
transform = transforms.rotate(rad=0.7)  # create transformation matrix
transformed_image = transforms.apply_transform(image,    # apply transformation
                                               transform,
                                               mask_value=jnp.array([0, 0, 0, 255]))

# multiple transformations can be combined through matrix multiplication
# this makes multiple sequential transforms much faster
multi_transform = transform @ transform @ transform
multi_transformed_image = transforms.apply_transform(image,
                                                     multi_transform,
                                                     mask_value=-1)

# Color transforms:
adjusted_image = color_transforms.posterize(image, bits=2)

# Randaugment:
randomized_image = randaugment.distort_image_with_randaugment(
    image,
    num_layers=3,   # number of random augmentations in sequence
    magnitude=10,   # magnitude of random augmentations
    random_key=split_key
)

# Show results:
results = [transformed_image, multi_transformed_image, adjusted_image, randomized_image]
fig = plt.figure(figsize=(10., 10.))
grid = ImageGrid(fig, 111,
                 nrows_ncols=(2, 2),
                 axes_pad=0.1)

for ax, im in zip(grid, results):
    ax.axis('off')
    ax.imshow(im)
plt.show()