CODEWITHSUNDEEP
pythonimageopencv
Samseela Subair k
Samseela Subair k

Reputation: 19

Template matching with multiple source images in OpenCV and Python

The following is the code in Python and OpenCV for image detection using template matching

import numpy as np
import cv2

image = cv2.imread('photo.jpg')

template = cv2.imread('template.jpg')

# resize images
image = cv2.resize(image, (0,0), fx=0.5, fy=0.5) 
template = cv2.resize(template, (0,0), fx=0.5, fy=0.5) 

# Convert to grayscale
imageGray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
templateGray = cv2.cvtColor(template, cv2.COLOR_BGR2GRAY)

# Find template
result = cv2.matchTemplate(imageGray,templateGray, cv2.TM_CCOEFF)
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)
top_left = max_loc
h,w = templateGray.shape
bottom_right = (top_left[0] + w, top_left[1] + h)
cv2.rectangle(image,top_left, bottom_right,(0,0,255),4)

# Show result
cv2.imshow("Template", template)
cv2.imshow("Result", image)

cv2.moveWindow("Template", 10, 50);
cv2.moveWindow("Result", 150, 50);

cv2.waitKey(0)

I want to know how to do the program with multiple source images?

Upvotes: 0

Views: 11444

Answers (1)

gaya
gaya

Reputation: 465

Assuming that you mean multiple template images, here is something I tried.

import cv2
import numpy as np
import glob

#empty list to store template images
template_data=[]
#make a list of all template images from a directory
files1= glob.glob('your\\template images\\template*.png')

for myfile in files1:
    image = cv2.imread(myfile,0)
    template_data.append(image)

test_image=cv2.imread('you\\testimage\\testimage.png')
test_image= cv2.cvtColor(test_image, cv2.COLOR_BGR2GRAY)

#loop for matching
for tmp in template_data:
    (tH, tW) = tmp.shape[:2]
    cv2.imshow("Template", tmp)
    cv2.waitKey(1000)
    cv2.destroyAllWindows()
    result = cv2.matchTemplate(test_image, tmp, cv2.TM_CCOEFF)
    min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)
    top_left = max_loc
    bottom_right = (top_left[0] + tW, top_left[1] + tH)
    cv2.rectangle(test_image,top_left, bottom_right,255, 2)

cv2.imshow('Result',test_image)
cv2.waitKey(0)

Upvotes: 4

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