for i in range(128):
            for j in range(128):
                if roi_gray[i][j]==etalon[i][j]:
                    sgodztvo+=1
        print(sgodztvo)

 import numpy as np
import cv2
import time
cap = cv2.VideoCapture(0)
cap.set(3,640) # set Width
cap.set(4,480) # set Height
etalon = cv2.imread('./Evgeniy/etalot.png')
faceCascade = cv2.CascadeClassifier('lico.xml')
while True:
    ret, img = cap.read()
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = faceCascade.detectMultiScale(
        gray,     
        scaleFactor=1.2,
        minNeighbors=5,     
        minSize=(30, 30)
    )
    for (x,y,w,h) in faces:
        sgodztvo = 0
        roi_color = img[y:y+h, x:x+w]
        roi_gray = gray[y:y+h, x:x+w]
        roi_gray = cv2.resize(roi_gray,(128,128))
        #cv2.imwrite("Evgeniy/etalot.png",roi_gray)
        cv2.imshow("cut",roi_gray)
        cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
        #roi_gray = gray[y:y+h, x:x+w]
        for i in range(128):
            for j in range(128):
                if roi_gray[i][j]==etalon[i][j]:
                    sgodztvo+=1
        print(sgodztvo)
                    
                    
                    
                
    cv2.imshow('video',img)
    k = cv2.waitKey(30) & 0xff
    if k == 27: # press 'ESC' to quit
        break
cap.release()
cv2.destroyAllWindows()

 from PIL import Image
img = Image.open('./Evgeniy/etalot.png')
width, height = img.size
matrix = [[None] * width] * height
for y in range(height):
    for x in range(width):
        matrix[y][x] = img.getpixel(x, y)
# matrix - многомерный массив, обращаться - matrix[y][x]