51 lines
1 KiB
Python
51 lines
1 KiB
Python
import face_recognition
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import cv2
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import sys
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import os
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import config
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def stop(status):
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video_capture.release()
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sys.exit(status)
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try:
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if not isinstance(sys.argv[1], str):
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sys.exit(1)
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except IndexError:
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sys.exit(1)
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user = sys.argv[1]
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# Get a reference to webcam #0 (the default one)
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video_capture = cv2.VideoCapture(config.device_id)
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encodings = []
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try:
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for exposure in ["L", "M", "S"]:
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ref = face_recognition.load_image_file(os.path.dirname(__file__) + "/models/" + user + "/" + exposure + ".jpg")
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enc = face_recognition.face_encodings(ref)[0]
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encodings.append(enc)
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except FileNotFoundError:
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stop(10)
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tries = 0
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while True:
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# Grab a single frame of video
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ret, frame = video_capture.read()
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face_encodings = face_recognition.face_encodings(frame)
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# Loop through each face in this frame of video
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for face_encoding in face_encodings:
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matches = face_recognition.face_distance(encodings, face_encoding)
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for match in matches:
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if match < config.certainty:
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stop(0)
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if tries > config.frame_count:
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stop(11)
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tries += 1
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