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As Moshe's answer only covers matching a template that is contained only once in the given picture. Here's how matching several at once:

import cv2
import numpy as np

img_rgb = cv2.imread('mario.png')
template = cv2.imread('mario_coin.png')
w, h = template.shape[:-1]

res = cv2.matchTemplate(img_rgb, template, cv2.TM_CCOEFF_NORMED)
threshold = .8
loc = np.where(res >= threshold)
for pt in zip(*loc[::-1]):  # Switch collumns and rows
    cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0, 0, 255), 2)

cv2.imwrite('result.png', img_rgb)

(Note: I changed and fixed a few 'mistakes' that were in the original code)

Result:

Source: https://opencv24-python-tutorials.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_template_matching/py_template_matching.html#template-matching-with-multiple-objects

As Moshe's answer only covers matching a template that is contained only once in the given picture. Here's how matching several at once:

import cv2
import numpy as np

img_rgb = cv2.imread('mario.png')
template = cv2.imread('mario_coin.png')
w, h = template.shape[:-1]

res = cv2.matchTemplate(img_rgb, template, cv2.TM_CCOEFF_NORMED)
threshold = .8
loc = np.where(res >= threshold)
for pt in zip(*loc[::-1]):  # Switch columns and rows
    cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0, 0, 255), 2)

cv2.imwrite('result.png', img_rgb)

(Note: I changed and fixed a few 'mistakes' that were in the original code)

Result:

Source: https://opencv24-python-tutorials.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_template_matching/py_template_matching.html#template-matching-with-multiple-objects

As Moshe's answer only covers matching a template that is contained only once in the given picture. Here's how matching several at once:

import cv2
import numpy as np

img_rgb = cv2.imread('mario.png')
template = cv2.imread('mario_coin.png')
w, h = template.shape[:-1]

res = cv2.matchTemplate(img_rgb, template, cv2.TM_CCOEFF_NORMED)
threshold = .8
loc = np.where(res >= threshold)
for pt in zip(*loc[::-1]):  # Switch collumns and rows
    cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0, 0, 255), 2)

cv2.imwrite('result.png', img_rgb)

(Note: I changed and fixed a few 'mistakes' that were in the original code)

Result:

Source: https://opencv-python-tutroals.readthedocs.org/en/latest/py_tutorials/py_imgproc/py_template_matching/py_template_matching.html

As Moshe's answer only covers matching a template that is contained only once in the given picture. Here's how matching several at once:

import cv2
import numpy as np

img_rgb = cv2.imread('mario.png')
template = cv2.imread('mario_coin.png')
w, h = template.shape[:-1]

res = cv2.matchTemplate(img_rgb, template, cv2.TM_CCOEFF_NORMED)
threshold = .8
loc = np.where(res >= threshold)
for pt in zip(*loc[::-1]):  # Switch collumns and rows
    cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0, 0, 255), 2)

cv2.imwrite('result.png', img_rgb)

(Note: I changed and fixed a few 'mistakes' that were in the original code)

Result:

Source: https://opencv24-python-tutorials.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_template_matching/py_template_matching.html#template-matching-with-multiple-objects

As Moshe's answer only covers matching a template that is contained only once in the given picture. Here's how matching several at once:

import cv2
import numpy as np

img_rgb = cv2.imread('mario.png')
template = cv2.imread('mario_coin.png')
w, h = template.shape[:-1]

res = cv2.matchTemplate(img_rgb, template, cv2.TM_CCOEFF_NORMED)
threshold = .8
loc = np.where(res >= threshold)
for pt in zip(*loc[::-1]):  # Switch collumns and rows
    cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0, 0, 255), 2)

cv2.imwrite('result.png', img_rgb)

(Note: I changed and fixed a few 'mistakes' that were in the original code)

Result:

Source: https://opencv-python-tutroals.readthedocs.org/en/latest/py_tutorials/py_imgproc/py_template_matching/py_template_matching.html

As Moshe's answer only covers matching a template that is contained only once in the given picture. Here's how matching several at once:

import cv2
import numpy as np

img_rgb = cv2.imread('mario.png')
template = cv2.imread('mario_coin.png')
w, h = template.shape[:-1]

res = cv2.matchTemplate(img_rgb, template, cv2.TM_CCOEFF_NORMED)
threshold = .8
loc = np.where(res >= threshold)
for pt in zip(*loc[::-1]):  # Switch collumns and rows
    cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0, 0, 255), 2)

cv2.imwrite('result.png', img_rgb)

(Note: I changed and fixed a few 'mistakes' that were in the original code)

Result:

Source: https://opencv-python-tutroals.readthedocs.org/en/latest/py_tutorials/py_imgproc/py_template_matching/py_template_matching.html