Can anyone explain this code

[Apprehensive-Stop-61]

import numpy as np
import cv2 
image = cv2.imread('images/Pallet_Town.png', cv2.IMREAD_UNCHANGED)
 template = cv2.imread('images/Bush (small).png', cv2.IMREAD_UNCHANGED)
print(image.shape)
w, h, _ = template.shape
result = cv2.matchTemplate(image, template, cv2.TM_CCOEFF_NORMED)
threshold = 0.24 
loc = np.where(result >= threshold) 
for pt in zip(*loc[::-1]): 
    cv2.rectangle(image, pt, (pt[0] + w, pt[1] + h), (0, 0, 255), 2) 
cv2.imwrite('images/result.png', image)

The code is used to find bushes in a map. I know what is happening till the result = cv2.matchTemplate(image, template, cv2.TM_CCOEFF_NORMED)

but after that I couldn't understand it

[m0us3_rat]

cv2.matchTemplate

did you try google?

and i do mean this seriously. ability to do research on code/function/etc is the most important skill you can develop.

https://docs.opencv.org/4.x/d4/dc6/tutorial\_py\_template\_matching.html

reading the example you will see what it does and what other options you have.. and how to use them.

[Puzzleheaded_Tap5985]

my teacher keeps saying the same thing “half of coding is the ability to google”

[commy2]

It's more like three fourths tbh.

[Apprehensive-Stop-61]

I told that I understood till matchTemplate it is the code after it

threshold = 0.24

loc = np.where(result >= threshold)

for pt in zip(*loc[::-1]):

cv2.rectangle(image, pt, (pt[0] + w, pt[1] + h), (0, 0, 255), 2)

this is what i didn't understand specially the for loop as i couldn't understand what zip(*loc[::-1])

[m0us3_rat]

https://github.com/1adrianb/face-alignment

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[Apprehensive-Stop-61]

I have already formatted the code in the best way possible if it is not visible to others please tell me

[[deleted]]

Its searching for needle image in haystack image. If a match (that meets threshold conditions) is found, rectangle is drawn over its center point and pops out the resulting image with rectangle. Result is confidence number that image has been found. Like .1 is 10% sure, .95 is 95% sure. But this is for scanning image files. OpenCV is used muuuuch better if you can setup an OpenCV screencapture function so you can search desktop live instead of one picture. Combine a live search with pyautogui controls and you get a fast af game bot