python模糊图片过滤

最近在做人脸识别清洗样本的工作，发现经过人脸对齐后存在部分图片十分模糊，所以用opencv滤了一下。

原理就是使用了cv2.Laplacian()这个方法，代码如下。图片越模糊，imageVar的值越小，图像越模糊。

#-*-coding:utf-8-*-import sysreload(sys)sys.setdefaultencoding('utf-8')import osimport cv2import shutilTHRESHOLD = 30.0dst_root = r'/media/unionpay/0009FFAB000A9861/CASIA&KFZX_CLEAR'for fpath, dirs, fs in os.walk('/media/unionpay/0009FFAB000A9861/CASIA&KFZX'):    i = 0    for dir in dirs:        i += 1        if i%100 == 0:            print (str(i)+'folders processed current:'+dir)        abs_dir = os.path.join(fpath, dir)        for _, __, fs in os.walk(abs_dir):            clear_img_list = []            for f in fs:                item = os.path.join(_, f)                image = cv2.imread(os.path.join("/media/unionpay/0009FFAB000A9861/CASIA&KFZX/0000447", item))                gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)                imageVar = cv2.Laplacian(gray, cv2.CV_64F).var()                if not imageVar < THRESHOLD:                    clear_img_list.append(item)            dst_folder = os.path.join(dst_root, dir)            if len(clear_img_list) >= 15:                if not os.path.exists(dst_folder):                    os.mkdir(dst_folder)                for item in clear_img_list:                    dst_path = os.path.join(dst_folder, item.split('/')[-1])                    shutil.copy(item, dst_path)