How do I find an image on screen ignoring transparent pixels-CodePudding

I have a png of an asset, say:

and I'm trying to find it on my screen which looks something like:

Normally, I would use pyautoGUI as such:

pyautogui.locateCenterOnScreen('banana.png', grayscale=True, confidence=0.9)

but it currently isn't working. It seems that the problem might be with the transparent pixels of my banana asset, which obviously aren't matched. Is there a way to do this by ignoring the transparent pixels of the banana asset and treating them as wildcards? Or another way of accomplishing this?

So far in my search, I've found this

Template:

import cv2
import numpy as np

# read game image
img = cv2.imread('game.png')

# read bananas image template
template = cv2.imread('bananas.png', cv2.IMREAD_UNCHANGED)
hh, ww = template.shape[:2]

# extract bananas base image and alpha channel and make alpha 3 channels
base = template[:,:,0:3]
alpha = template[:,:,3]
alpha = cv2.merge([alpha,alpha,alpha])

# do masked template matching and save correlation image
correlation = cv2.matchTemplate(img, base, cv2.TM_CCORR_NORMED, mask=alpha)

# set threshold and get all matches
threshhold = 0.95
loc = np.where(correlation >= threshhold)

# draw matches 
result = img.copy()
for pt in zip(*loc[::-1]):
    cv2.rectangle(result, pt, (pt[0] ww, pt[1] hh), (0,0,255), 1)
    print(pt)

# save results
cv2.imwrite('bananas_base.png', base)
cv2.imwrite('bananas_alpha.png', alpha)
cv2.imwrite('game_bananas_matches.jpg', result)  

cv2.imshow('base',base)
cv2.imshow('alpha',alpha)
cv2.imshow('result',result)
cv2.waitKey(0)
cv2.destroyAllWindows()

Result: