From 92bea0d4e42fde7faa1d79ea65048bb51a647964 Mon Sep 17 00:00:00 2001 From: Kyle Anderson Date: Sat, 16 Nov 2019 08:21:45 -0500 Subject: [PATCH] Decrease resolution in authentication, add camera change support In an attempt to speed up processing, I've reduced the width of the camera feed to be used and added a runtime option to change which camera is used. --- authenticate_user.py | 16 +++++++++++++--- 1 file changed, 13 insertions(+), 3 deletions(-) diff --git a/authenticate_user.py b/authenticate_user.py index 67a8c08..c3f2fbb 100644 --- a/authenticate_user.py +++ b/authenticate_user.py @@ -15,7 +15,9 @@ import data_handler TIMEOUT: float = 30.0 # Minimum number of frames in which a user must be recognized in order to be authenticated. MIN_USER_RECOGNITION_COUNT = 10 +IMAGE_WIDTH: int = 375 USER_IDS_KEY: str = "user_ids" +camera: int = 0 def load_encodings(file_location: str): @@ -78,8 +80,8 @@ def run_face_recognition(frame, known_faces: dict, encoding_model: str = "hog", # Convert input from BGR to RGB frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) - # Resize image to width of 750 PX to speed up processing. - rgb_image = imutils.resize(frame, width=750) + # Resize image to speed up processing. + rgb_image = imutils.resize(frame, width=IMAGE_WIDTH) r = frame.shape[1] / float(rgb_image.shape[1]) # Detect the location of each face and determine the boxes in which they lie @@ -108,7 +110,7 @@ def recognize_user(known_faces: dict, encoding_model: str = "hog", image_flip: i Returns the ID of the user if identified, or None if no users are identified.""" recognized_users_count = {} recognized_user = None - video_stream = common.start_video_stream(0) + video_stream = common.start_video_stream(camera) # Determine the time at which we will time out. Equal to current time + timeout. timeout_time: float = time.time() + TIMEOUT @@ -118,8 +120,11 @@ def recognize_user(known_faces: dict, encoding_model: str = "hog", image_flip: i if image_flip is not None: image_frame = cv2.flip(image_frame, image_flip) + face_recognition_start = time.time() # TODO remove recognized_user_ids = run_face_recognition(image_frame, known_faces, encoding_model=encoding_model, draw_rectangles=draw_rectangles) + print(f"Face recognition: {time.time() - face_recognition_start}") # TODO remove + for user_id in recognized_user_ids: if user_id not in recognized_users_count: recognized_users_count[user_id] = 0 @@ -170,6 +175,8 @@ if __name__ == "__main__": required=False, default=None, choices=[0, 1]) parser.add_argument("--show", "-s", action="store_true", help="Include this argument to have the image shown to you.", default=False) + parser.add_argument("--camera", "-c", default=None, type=int, required=False, + help="Which camera to be used during authentication.") args = parser.parse_args() args_dict = {} @@ -178,6 +185,9 @@ if __name__ == "__main__": if args.model is not None: args_dict["encoding_model"] = args.model + if args.camera is not None: + camera = args.camera + user = recognize_user_from_database(**args_dict, image_flip=args.flip, draw_rectangles=args.show) if user: -- 2.26.2