InvertImg
Targets:
image
volume
Image Types:uint8, float32
Invert the input image by subtracting pixel values from max values of the image types, i.e., 255 for uint8 and 1.0 for float32.
Arguments
pfloat
0.5
Probability of applying the transform. Default: 0.5.
Examples
>>> import numpy as np
>>> import albumentations as A
>>> import cv2
>>>
>>> # Create a sample image with different elements
>>> image = np.zeros((100, 100, 3), dtype=np.uint8)
>>> cv2.circle(image, (30, 30), 20, (255, 255, 255), -1) # White circle
>>> cv2.rectangle(image, (60, 60), (90, 90), (128, 128, 128), -1) # Gray rectangle
>>>
>>> # Apply InvertImg transform
>>> transform = A.InvertImg(p=1.0)
>>> result = transform(image=image)
>>> inverted_image = result['image']
>>>
>>> # Result:
>>> # - Black background becomes white (0 → 255)
>>> # - White circle becomes black (255 → 0)
>>> # - Gray rectangle is inverted (128 → 127)
>>> # The same approach works for float32 images (0-1 range) and grayscale images