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- import cv2
- import numpy as np
- import os
- gamma = 2.97
- # input_folder = 'imgs/patterns'
- input_folder = 'imgs/patterns_2x4/'
- output_folder = 'imgs/patterns_2x4_gamma_corrected_'+str(gamma)
- os.makedirs(output_folder, exist_ok=True)
- n = len(os.listdir(input_folder))
- for i in range(n):
- print(os.path.join(input_folder, f'pat{i:02}.bmp'))
- img = cv2.imread(os.path.join(input_folder, f'pat{i:02}.bmp'), cv2.IMREAD_GRAYSCALE)
- img = img / 255.0
- img = img ** (1.0 / gamma)
- img = img * 255.0
- img = img.astype(np.uint8)
- cv2.imwrite(os.path.join(output_folder, f'pat{i:02}.bmp'), img)
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