app.py

import cv2

# Get a reference to webcam
cap = cv2.VideoCapture(0)

# Create the haar cascade
faceCascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")

while True:

    ret, frame = cap.read(0)
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    # Detect faces in the image
    faces = faceCascade.detectMultiScale(
      gray,
      scaleFactor=1.1,
      minNeighbors=5,
      minSize=(30, 30),
      flags = cv2.CASCADE_SCALE_IMAGE
    )

    count=0

    # Draw a rectangle around the faces
    for (x, y, w, h) in faces:
        cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
        count+=1

    # Display count
    cv2.putText(frame, str(count), (70, 45), cv2.FONT_HERSHEY_SIMPLEX, 1, (0,0,255), 2)

    cv2.imshow('Video Face Detection', frame)

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

# When everything is done, release the capture
cap.release()
cv2.destroyAllWindows()