import cv2
import matplotlib.pyplot as plt
import numpy as np
face_cascade = cv2.CascadeClassifier(
'cascades/data/haarcascade_frontalface_alt2.xml')
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(
gray_frame, scaleFactor=1.5, minNeighbors=5)
for (x, y, w, h) in faces:
width = x + w
height = y + h
roi_frame = frame[x:x+h, y:y+h]
cv2.rectangle(frame, (x, y), (width, height), (0, 0, 255), thickness=3)
cv2.imshow("main frame", frame)
if cv2.waitKey(0) & 0xFF == 27:
break
cap.release()
cv2.destroyAllWindows()