Add `--no-remove-representations`
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32d523b727
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792a095782
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@ -24,7 +24,6 @@ def main():
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global args
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# RUN_BY_COMPOSE = os.getenv("RUN_BY_COMPOSE") # Replace this with code to check for gpu
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args = argparser.parse_args()
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# Check if a CUDA GPU is available. If it is, set it via torch. If not, set it to cpu
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@ -83,7 +82,10 @@ def main():
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# May be better to check every iteration, but this also works
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if path_to_faces_exists:
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if face_details := utils.recognize_face(
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path_to_directory=path_to_faces, run_frame=run_frame, min_confidence=args.face_confidence_threshold
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path_to_directory=path_to_faces,
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run_frame=run_frame,
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min_confidence=args.face_confidence_threshold,
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no_remove_representations=args.no_remove_representations,
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):
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plot_boxes.append(face_details)
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objects_and_peoples = notify.thing_detected(
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@ -5,6 +5,7 @@ from pathlib import Path
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argparser = None
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def set_argparse():
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global argparser
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@ -20,10 +21,9 @@ def set_argparse():
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epilog=":)",
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)
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# One important thing to consider is that most function parameters are optional and have a default value
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# However, with argparse, those are never used since a argparse always passes something, even if it's None
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argparser.add_argument(
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"--run-scale",
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# Set it to the env RUN_SCALE if it isn't blank, otherwise set it to 0.25
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@ -80,6 +80,15 @@ def set_argparse():
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type=str,
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help="The directory to store the faces. Can either contain images or subdirectories with images, the latter being the preferred method", # noqa: E501
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)
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argparser.add_argument(
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"--no-remove-representations",
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default=os.environ["NO_REMOVE_REPRESENTATIONS"]
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if "NO_REMOVE_REPRESENTATIONS" in os.environ
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and os.environ["NO_REMOVE_REPRESENTATIONS"] != ""
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else False,
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action="store_true",
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help="Don't remove representations_<model>.pkl at the start of the program. Greatly improves startup time, but doesn't take into account changes to the faces directory since it was created", # noqa: E501
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)
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argparser.add_argument(
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"--detect-object",
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nargs="*",
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@ -146,5 +155,6 @@ def set_argparse():
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)
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# return argparser
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# This will run when this file is imported
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set_argparse()
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set_argparse()
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@ -69,6 +69,7 @@ def recognize_face(
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# opencv image
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run_frame: np.ndarray = None,
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min_confidence: float = 0.3,
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no_remove_representations: bool = False,
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) -> np.ndarray:
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"""
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Accepts a path to a directory of images of faces to be used as a refference
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@ -95,13 +96,16 @@ def recognize_face(
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global first_face_try
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# If it's the first time the function is being run, remove representations_arcface.pkl, if it exists
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if first_face_try:
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if first_face_try and not no_remove_representations:
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try:
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path_to_directory.joinpath("representations_arcface.pkl").unlink()
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print("Removing representations_arcface.pkl")
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except FileNotFoundError:
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print("representations_arcface.pkl does not exist")
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first_face_try = False
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elif first_face_try and no_remove_representations:
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print("Not attempting to remove representations_arcface.pkl")
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first_face_try = False
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# face_dataframes is a vanilla list of dataframes
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# It seems face_dataframes is empty if the face database (directory) doesn't exist. Seems to work if it's empty though
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