import cv2import numpy as npimport osdef gamma_trans(img, gamma):'''首先归一化到0-1范围，然后gamma作为指数值求出新的像素值再还原'''gamma_table = [np.power(x / 255.0, gamma) * 255.0 for x in range(256)]gamma_table = np.round(np.array(gamma_table)).astype(np.uint8)return cv2.LUT(img, gamma_table) # 作为一个查表的映射orig_path=r'E:\\89_result\\carData\\background\\background'save_path=r'E:\\89_result\\carData\\background\\background2'os.makedirs(save_path,exist_ok=True)for root,dir,files in os.walk(orig_path):for file in files:if os.path.splitext(file)[-1] in [".jpg", ".png", ".JPEG", ".PNG",".jpeg"]:img = cv2.imread(os.path.join(root,file))img3 = gamma_trans(img,0.5)cv2.imwrite(os.path.join(save_path,file),img3)print(os.path.join(save_path,file))
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