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 sys
reload(sys)
sys.setdefaultencoding('utf-8')
import os
import cv2
import shutil

THRESHOLD = 30.0

dst_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)