proj.py

# import cv2
# video_cap = cv2.VideoCapture(0)
# while True :
#     ret,video_data = video_cap.read()
#     cv2.imshow("video_live",video_data)
#     if cv2.waitKey(10)== ord("a"):
#         break
# video_cap.release()

import cv2
face_cap = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
video_cap = cv2.VideoCapture(0)
while True :
    ret,video_data = video_cap.read()
    col = cv2.cvtColor(video_data,cv2.COLOR_BGR2GRAY)
    faces = face_cap.detectMultiScale(
        col,
        scaleFactor=1.1,
        minNeighbors=5,
        minSize=(30,30),
        flags=cv2.CASCADE_SCALE_IMAGE
    )
    for (x,y,w,h) in faces:
        cv2.rectangle(video_data,(x,y),(x+w,y+h),(0,255,0),2)
    cv2.imshow("Face Detection",video_data)
    if cv2.waitKey(10)== ord("a"):
        break
video_cap.release()