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import osimport cv2 as cvimport matplotlib.pyplot as plt # plt 用于显示图片import matplotlib.image as mpimg # mpimg 用于读取图片def hisEqulColor1(img):    ycrcb = cv.cvtColor(img, cv.COLOR_BGR2YCR_CB)    channels = cv.split(ycrcb)    # 以下代码详细注释见官网：    # https://docs.opencv.org/4.1.0/d5/daf/tutorial_py_histogram_equalization.html    clahe = cv.createCLAHE(clipLimit=2.0, tileGridSize=(8, 8))    clahe.apply(channels[0], channels[0])    cv.merge(channels, ycrcb)    cv.cvtColor(ycrcb, cv.COLOR_YCR_CB2BGR, img)    return imgall_folds = os.listdir(r'C:\Users\XYL\PycharmProjects\UI\test1\pic')print(all_folds[1])a=all_folds.__len__()i=0while i

opencv 批量读取图片、处理，并批量保存

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