import argparse
import face_recognition.comparison
import cv2
from multiprocessing import freeze_support
import os

if __name__ == '__main__':
    freeze_support() # support pyinstaller on Windows

    parser = argparse.ArgumentParser(description='Visualise face recognition algorithms.', formatter_class=argparse.ArgumentDefaultsHelpFormatter)
    parser.add_argument('--camera', '-c', type=int, default=0,
                        help='Numeric id of the camera')
    parser.add_argument('--windowed', '-w', action='store_true',
                        help='Display output windowed instead of fullscreen')
    parser.add_argument('--clockwise', action='store_true',
                        help='Rotate clockwise')
    parser.add_argument('--counter-clockwise', action='store_true',
                        help='Rotate counter clockwise')
    parser.add_argument('--cascade', default=os.path.join(os.path.dirname(os.path.realpath(__file__)),'haarcascade_frontalface_alt2.xml'),
                        help='Cascade XML file to use (opencv format)')
    parser.add_argument('--output', metavar="DIRECTORY", default=os.path.expanduser("~/Desktop/faces"),
                        help='Directory to store images (after pressing spacebar)')
    parser.add_argument('--visualhaar-lib', metavar="LIBRARY", default=None,
                        help='path/filename for visualhaar library (.so on linux, .dll on windows)\nSee: https://git.rubenvandeven.com/r/visualhaar/releases')

    args = parser.parse_args()

    rotate = None
    if args.clockwise:
        rotate = cv2.ROTATE_90_CLOCKWISE
    if args.counter_clockwise:
        rotate = cv2.ROTATE_90_COUNTERCLOCKWISE

    if not os.path.exists(args.output):
        print("Making directory:", args.output)
        os.mkdir(args.output)

    face_recognition.comparison.main(args.camera, rotate, not args.windowed, args.cascade, args.output, args.visualhaar_lib)