39 lines
1.9 KiB
Python
39 lines
1.9 KiB
Python
import argparse
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import face_recognition.comparison
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import cv2
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from multiprocessing import freeze_support
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import os
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if __name__ == '__main__':
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freeze_support() # support pyinstaller on Windows
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parser = argparse.ArgumentParser(description='Visualise face recognition algorithms.', formatter_class=argparse.ArgumentDefaultsHelpFormatter)
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parser.add_argument('--camera', '-c', type=int, default=0,
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help='Numeric id of the camera')
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parser.add_argument('--windowed', '-w', action='store_true',
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help='Display output windowed instead of fullscreen')
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parser.add_argument('--clockwise', action='store_true',
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help='Rotate clockwise')
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parser.add_argument('--counter-clockwise', action='store_true',
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help='Rotate counter clockwise')
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parser.add_argument('--cascade', default=os.path.join(os.path.dirname(os.path.realpath(__file__)),'haarcascade_frontalface_alt2.xml'),
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help='Cascade XML file to use (opencv format)')
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parser.add_argument('--output', metavar="DIRECTORY", default=os.path.expanduser("~/Desktop/faces"),
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help='Directory to store images (after pressing spacebar)')
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parser.add_argument('--visualhaar-lib', metavar="LIBRARY", default=None,
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help='path/filename for visualhaar library (.so on linux, .dll on windows)\nSee: https://git.rubenvandeven.com/r/visualhaar/releases')
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args = parser.parse_args()
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rotate = None
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if args.clockwise:
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rotate = cv2.ROTATE_90_CLOCKWISE
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if args.counter_clockwise:
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rotate = cv2.ROTATE_90_COUNTERCLOCKWISE
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if not os.path.exists(args.output):
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print("Making directory:", args.output)
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os.mkdir(args.output)
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face_recognition.comparison.main(args.camera, rotate, not args.windowed, args.cascade, args.output, args.visualhaar_lib)
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