I am attempting to template match a cropped template image from the image it was cropped from.

Here's my attempt:

import cv2
import numpy as np
 
def main()
    img_rgb = cv2.imread('whole_image.jpg')
    img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
    template = cv2.imread('cropped_image_from_whole_image.jpg', 0)
    res = cv2.matchTemplate(img_gray, template, cv2.TM_CCOEFF_NORMED)
    threshold = 0.8

    for i in res:
        for x in i:
            # Finally check if x >= threshold (means a match?).
            if x >= threshold:
                print('Match found!') 

if __name__ == '__main__':
    main()

whole_image.jpg

cropped_image_from_whole_image.jpg

My overarching goal is to accurately check if a given template image is a image cropped from a larger whole image. If there's a match: print to standard output 'Match found!' (No GUI involved, only command line). Is the issue in how I'm handling the res/results? What am I doing wrong?

CodePudding user response：

For matchTemplate the whole image and the template must have the same resolution.

In your case the whole image has 1600x1200px, the cropped image has 640x640px, while the cropped image contains the full height of the original image.

If you know the factor you can align the resolution:

import cv2


img_rgb = cv2.imread('whole_image.jpg', 0)
template = cv2.imread('cropped_image_from_whole_image.jpg', 0)
template = cv2.resize(template, (1200, 1200))
res = cv2.matchTemplate(img_rgb, template, cv2.TM_CCOEFF_NORMED)
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)

if max_val >= 0.8:
    print('Match found!')

If not, you can try this: https://stackoverflow.com/a/5364427/18667225

Or you can search the net for something like "multi scale template matching".