# -*- coding: UTF-8 -*-

import argparse
import cv2
import os

# 使用方法：命令行cd到脚本所在文件夹，python picture.py -i "图片路径"
#便历图片，合格则保存，不合格则删除


def variance_of_laplacian(image):
    # 使用拉普拉斯算子提取图像边缘信息，计算边缘的平均方差
    return cv2.Laplacian(image, cv2.CV_64F).var()
def read_path(file_pathname):
    #遍历该目录下的所有图片文件
    for filename in os.listdir(file_pathname):
        print(filename)
        image = cv2.imread(file_pathname+'/'+filename)
        # 取图片的灰度通道
        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
        fm = variance_of_laplacian(gray)

        # 如果得分比阈值低，认为是模糊
        if fm < 100.0:
            os.remove(file_pathname+'/'+filename)
#read_path(r"C:\Users\xinluo\PycharmProjects\pythonProject\Saved Pictures")
#print(os.getcwd())