# -*- 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是計算輸入圖片矩陣的特征值，通過對特征值的比較來實現(xiàn)圖片的比對
  """
  # arg=np.linalg.eigvals(image) 
  """arg是計算輸入二值圖片矩陣中1的個數(shù)，通過1的總數(shù)來實現(xiàn)圖片的比對
  """
  arg=sum(image)
  image_one.append(name)
  image_one.append(arg)
  image_all_a.append(image_one)#將一個圖片的信息寫入
  print '讀入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)#將一個圖片的信息寫入
  print '讀入b'
# np.save('img_b.npy',image_all_b)
print '開始比較'
result_all=[]
for a in image_all_a: #比較小的
  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 '比較結束'
print result_all

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