Face_detector-raw-webcam.py

# importing library
import cv2
from random import randrange

# Detect from image
# Load some pre-trained data on face frontal from opencv repository (https://github.com/opencv/opencv/tree/master/data/haarcascades)
trained_face_data = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")

# Capture video from webcam P.S.: # we can also use a video file as input
webcam = cv2.VideoCapture(0)

# Iterate forever over frames
while True:
    # Read current frames from the webcam
    successful_frame_read, frame = webcam.read()

    # Convert to grayscale
    grayscaled_img = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    # Detect faces
    face_coordiantes = trained_face_data.detectMultiScale(grayscaled_img)

    # Drawing rectangles
    for (x, y, w, h) in face_coordiantes:
        cv2.rectangle(frame, (x, y), (x + w, y + h), (randrange(256), randrange(256), randrange(256)), 5)

    # Display the image with the squares on the frame
    cv2.imshow('Face detection webcam', frame)
    key = cv2.waitKey(1)
    if key == 81 or key == 113:
        break
# after quitting release camera
webcam.release()

print("Video code completed")