# Recognize face and select best candidate
selected_face = []
for (x, y, w, h) in faces:
candidate_face_area = w * h
if not selected_face or candidate_face_area > selected_face[0]:
center_x = x + (w / 2)
center_y = y + (h / 2)
selected_face = [
candidate_face_area, x, y, w, h, center_x, center_y
]
if selected_face:
position_on_screen(selected_face)
if show_capture:
if selected_face:
draw.selected_face_area(gray, selected_face)
draw.cursor_location(gray, position.crop_screen['pos'])
draw.capture_crop_area(gray, position.crop_screen)
draw.fps_counter(gray, fps.actual_fps)
cv2.imshow('frame', gray)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything done, release the capture
print('Gracefully exiting')
CAPTURE.release()
cv2.destroyAllWindows()
