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@ -37,7 +37,7 @@ def main():
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# It's taking up too many lines in this file
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argparser = argparse.ArgumentParser(
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prog="Wyzely Detect",
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description="Recognize faces/objects in a video stream (from a webcam or a security camera) and send notifications to your devices", # noqa: E501
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description="Recognize faces/objects in a video stream (from a webcam or a security camera) and send notifications to your devices", # noqa: E501
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epilog=":)",
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)
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@ -89,7 +89,7 @@ def main():
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if "FACES_DIRECTORY" in os.environ and os.environ["FACES_DIRECTORY"] != ""
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else "faces",
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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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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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"--detect-object",
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@ -216,8 +216,7 @@ 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,
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run_frame=run_frame
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path_to_directory=path_to_faces, run_frame=run_frame
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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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@ -102,7 +102,6 @@ def recognize_face(
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print("representations_arcface.pkl does not exist")
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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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# This line is here to prevent a crash if that happens. However, there is a check in __main__ so it shouldn't happen
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@ -117,12 +116,13 @@ def recognize_face(
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silent=True,
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# Could use VGG-Face, but whilst fixing another issue, ArcFace seemed to be slightly faster
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# I read somewhere that opencv is the fastest (but not as accurate). Could be changed later, but opencv seems to work well
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model_name="ArcFace", detector_backend="opencv"
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)
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model_name="ArcFace",
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detector_backend="opencv",
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)
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except ValueError as e:
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if (
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str(e)
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== "Face could not be detected. Please confirm that the picture is a face photo or consider to set enforce_detection param to False." # noqa: E501
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== "Face could not be detected. Please confirm that the picture is a face photo or consider to set enforce_detection param to False." # noqa: E501
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):
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# print("No faces recognized") # For debugging
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return None
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