python+opencv模板定位图片

 

 

# -*- coding: utf-8 -*-
import cv2

file1=r'E:\aabb\resize\resize_image11.jpg'
file2=r'E:\aabb\resize\resize_image12.jpg'
temp=r'E:\aabb\resize\temp.jpg'


method = cv2.TM_SQDIFF_NORMED

# Read the images from the file
small_image = cv2.imread(temp)
large_image = cv2.imread(file2)

result = cv2.matchTemplate(small_image, large_image, method)
# 需要最小平方差
mn,_,mnLoc,_ = cv2.minMaxLoc(result)

# 开始画矩形:
# Extract the coordinates of our best match
MPx,MPy = mnLoc
print(MPx, MPy)

# Step 2: Get the size of the template. This is the same size as the match.
trows,tcols = small_image.shape[:2]

# Step 3: Draw the rectangle on large_image
cv2.rectangle(large_image, (MPx,MPy),(MPx+tcols,MPy+trows),(0,0,255),2)

cv2.rectangle(large_image, (MPx+169,MPy+76),(MPx+719,MPy+117),(0,0,255),2)

# Display the original image with the rectangle around the match.
cv2.imshow('output',large_image)

# The image is only displayed if we call this
cv2.waitKey(0)