import cv2
import sys
cascad_Path = "haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(cascad_Path)
video_capture = cv2.VideoCapture(0)
while True:
# Video capture frame by frame
ret, frame = video_capture.read()
grayScale = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(
grayScale,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
flags=cv2.CASCADE_SCALE_IMAGE
)
# Draw a rectangle for highlight the face
for (x, y, w, h) in faces:
# Set RGB value for blue rectangle
cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
# Display the resulting frame
cv2.imshow('Video', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()