Image augmentation library for Jax
Project description
imax
Fast and jittable 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(0)
random_key, split_key = random.split(random_key)
image = jnp.asarray(Image.open('./test.png').convert('RGBA')).astype('uint8')
# Geometric transforms:
transform = transforms.rotate(rad=0.42) # create transformation matrix
transformed_image = transforms.apply_transform(image, transform) # apply transformation
# multiple transformations can be combined through matrix multiplication
# this makes multiple transforms much faster
double_transform = transform @ transform
twice_transformed_image = transforms.apply_transform(image, double_transform)
# 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, twice_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()
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