python,opencv图像增强

def data_enhance_save_another_path(file_dir,save_path):
    for dir in in os.listdir(fil(file_dir):
        if not ot os.path.exists(sav(save_path + dir): ): os.mkdir(sav(save_path + dir)
        for item, file in enumerate(
            [  [os.path.join(fil(file_dir, dir, file) for file in in os.listdir(os.(ir(os.path.join(fil(file_dir, dir))]):
            image =  = Image.open(fil(file)
            # 亮度增强
            image =  = ImageEnhance.Brightness(ims(image).enhance(1.0)
            # 颜色均衡
            image =  = ImageEnhance.Color(ima(image).enhance(0.85)
            # 对比度增强
            enh_con =  = ImageEnhance.Contrast(ima(image)
            contrast = 1.4
            image_contrasted = enh_nh_con.enhance(con(contrast)
            # 锐度增强
            enh_sha =  = ImageEnhance.Sharpness(ima(image_contrasted)
            sharpness = 4.0
            image_sharped = enh_nh_sha.enhance(sha(sharpness)
            # print(type(pe(np.array(ima(image_sharped)))
            #　降噪处理
            #  # cv2.fastNlMeansDensDenoisingMulti(array(image_sharped),10,10,7,21)
            # image_sharped =d =cv2.medianBlur(arr(array(image_sharped),3)
            #  # cv2.imwrite(os.(te(os.path.join(sav(save_path,dir,ir,file.split(\'/\'(\'/\')[-1].split(\'.\')[0]+\'_+\'_enhance.jpg\'),i\'),image_sharped)
            image_ge_sharped.save(os.(ve(os.path.join(sav(save_path,dir,ir,file.split(\'/\'(\'/\')[-1].split(\'.\')[0]+\'_+\'_enhance.jpg\'))
\'))
            # print(nt(file.split(\'/\'(\'/\')[-1].split(\'.\')[0]+\'_+\'_enhance.jpg\')
 \')
            print(\'finished {},{}\'.format(item, file))
    print(\'finished all !\')