import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt
img = cv.imread('table.png',0)
img2 = img.copy()
template = cv.imread('part.png',0)
w, h = template.shape[::-1]
methods = ['cv.TM_CCOEFF']
for meth in methods:
img = img2.copy()
method = eval(meth)
res = cv.matchTemplate(img,template,method)
min_val, max_val, min_loc, max_loc = cv.minMaxLoc(res)
# If the method is TM_SQDIFF or TM_SQDIFF_NORMED, take minimum
if method in [cv.TM_SQDIFF, cv.TM_SQDIFF_NORMED]:
top_left = min_loc
else:
top_left = max_loc
bottom_right = (top_left[0] + w, top_left[1] + h)
print(bottom_right)
cv.rectangle(img,top_left, bottom_right, 255, 2)
plt.title('Matching Result'), plt.xticks([]), plt.yticks([])
plt.subplot(122),plt.imshow(img,cmap = 'gray')
plt.title('Detected Point'), plt.xticks([]), plt.yticks([])
plt.suptitle(meth)
plt.show()
