Python

import cv2
from matplotlib import pyplot as plt
import cv2

import albumentations as A

Python

def visualize(image):
    plt.figure(figsize=(10, 5))
    plt.axis('off')
    plt.imshow(image)

Python

def load_rgb(image_path):
    image = cv2.imread(image_path)
    return cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

Load the image from the disk¶

Python

img_path = "../images/alina_rossoshanska.jpeg"
img = load_rgb(img_path)

Visualize the original image¶

Python

visualize(img)

png

Red-blue mode¶

Python

transform = A.Compose([A.ChromaticAberration(mode="red_blue", primary_distortion_limit=0.5, secondary_distortion_limit=0.1, p=1)])

plt.figure(figsize=(15, 10))

num_images = 12

# Loop through the list of images and plot them with subplot
for i in range(num_images):
    transformed_image = transform(image = img)["image"]
    plt.subplot(4, 3, i + 1)
    plt.imshow(transformed_image)
    plt.axis('off')

plt.tight_layout()
plt.show()

png