Template matching using OpenCV python. This code gets a real time frame from webcam & matches with faces in 'images' folder. After the lookup, it rectangles the webcam face & says with which face the webcam face matches

cvimg.py

import cv2
from matplotlib import pyplot as plt
import numpy as np


cap = cv2.VideoCapture(0) #Webcam Capture

while(True):

	ret, frame = cap.read()
	gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

	for i in range(3):
		
		template = cv2.imread('images/face'+str(i)+'.jpg',0)
		w, h = template.shape[::-1]

		res = cv2.matchTemplate(gray,template,cv2.TM_SQDIFF)

		min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)

		top_left = min_loc
		bottom_right = (top_left[0] + w, top_left[1] + h)

		cv2.rectangle(frame,top_left, bottom_right, 255, 1)
		cv2.putText(frame, 'Detected Face ID: '+str(i), (top_left[0],top_left[1]-10), 
				cv2.FONT_HERSHEY_PLAIN, 1.0, (255,255,255))
	

	cv2.imshow('Test',frame)


	if cv2.waitKey(1) & 0xFF == ord('q'):
		break

cap.release()
cv2.destroyAllWindows()