from utilities.facedetector import FaceDetector

from utilities import imutils

import cv2

# Define paths

video_path = 'video/adrian_face.mov'

cascade_path = 'cascades/haarcascade_frontalface_default.xml'

# Construct the face detector

detector = FaceDetector(cascade_path)

# Load the video

camera = cv2.VideoCapture(video_path)

while True:

# Grab the current frame

(ok, frame) = camera.read()

# If a frame does not exist, video is over

if not ok:

break

# Resize the frame and convert it to greyscale

frame = imutils.resize(frame, width=300)

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

# Detect faces in the image and clone the frame

face_boxes = detector.detect(gray, 1.1, 5)

clone = frame.copy()

# Draw the face bounding boxes

for (x, y, w, h) in face_boxes:

cv2.rectangle(clone, (x, y), (x + w, y + h), (0, 255, 0), 2)

# Show our detected faces

cv2.imshow("Face", clone)

# Ff the 'q' key is pressed, stop the loop

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

break

# Cleanup the camera and close any open windows

camera.release()

cv2.destroyAllWindows()