# -*- coding: utf-8 -*-
import cv2 as cv
import numpy as np
import os
file_dir_a='C:\Users\wt\Desktop\data\image1\\'
file_dir_b='C:\Users\wt\Desktop\data\image\\'
savepath='.\'

all_file_name_a=os.listdir(file_dir_a)
all_file_name_b=os.listdir(file_dir_b)
image_all_a=[]
image_all_b=[]
for name in all_file_name_a:
  image_one=[]
  image = cv.imread(file_dir_a+name, cv.IMREAD_GRAYSCALE)
  """arg是计算输入图片矩阵的特征值，通过对特征值的比较来实现图片的比对
  """
  # arg=np.linalg.eigvals(image) 
  """arg是计算输入二值图片矩阵中1的个数，通过1的总数来实现图片的比对
  """
  arg=sum(image)
  image_one.append(name)
  image_one.append(arg)
  image_all_a.append(image_one)#将一个图片的信息写入
  print '读入a'
# np.save('img_a.npy',image_all_a)
for name in all_file_name_b:
  image_one=[]
  image = cv.imread(file_dir_b+name, cv.IMREAD_GRAYSCALE)
  """同上
  """
  # arg=np.linalg.eigvals(image)
  arg=sum(image)
  image_one.append(name)
  image_one.append(arg)
  image_all_b.append(image_one)#将一个图片的信息写入
  print '读入b'
# np.save('img_b.npy',image_all_b)
print '开始比较'
result_all=[]
for a in image_all_a: #比较小的
  result = []
  for b in image_all_b:
    # print sum(a[1]-b[1])
    if abs(sum(a[1]-b[1]))<0.00001:
      result.append(a[0])
      result.append(b[0])
      result_all.append(result)
print '比较结束'
print result_all

np.save('match_result1.npy',result_all)