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wyzely-detect
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This commit is contained in:
slashtechno 2023-10-22 16:54:30 -05:00
parent 504ccb6695
commit 259cc8f200
Signed by: slashtechno
GPG Key ID: 8EC1D9D9286C2B17
2 changed files with 9 additions and 10 deletions
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9
wyzely_detect/__main__.py
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@ -37,7 +37,7 @@ def main():
# It's taking up too many lines in this file
argparser = argparse.ArgumentParser(
prog="Wyzely Detect",
description="Recognize faces/objects in a video stream (from a webcam or a security camera) and send notifications to your devices", # noqa: E501
description="Recognize faces/objects in a video stream (from a webcam or a security camera) and send notifications to your devices", # noqa: E501
epilog=":)",
)
@ -89,7 +89,7 @@ def main():
if "FACES_DIRECTORY" in os.environ and os.environ["FACES_DIRECTORY"] != ""
else "faces",
type=str,
help="The directory to store the faces. Can either contain images or subdirectories with images, the latter being the preferred method", # noqa: E501
help="The directory to store the faces. Can either contain images or subdirectories with images, the latter being the preferred method", # noqa: E501
)
argparser.add_argument(
"--detect-object",
@ -202,7 +202,7 @@ def main():
results = model(run_frame, verbose=False)
path_to_faces = Path(args.faces_directory)
path_to_faces_exists = path_to_faces.is_dir()
path_to_faces_exists = path_to_faces.is_dir()
for i, r in enumerate(results):
# list of dicts with each dict containing a label, x1, y1, x2, y2
@ -216,8 +216,7 @@ def main():
# May be better to check every iteration, but this also works
if path_to_faces_exists:
if face_details := utils.recognize_face(
path_to_directory=path_to_faces,
run_frame=run_frame
path_to_directory=path_to_faces, run_frame=run_frame
):
plot_boxes.append(face_details)
objects_and_peoples = notify.thing_detected(

10
wyzely_detect/utils/utils.py
View File

@ -102,11 +102,10 @@ def recognize_face(
print("representations_arcface.pkl does not exist")
first_face_try = False
# face_dataframes is a vanilla list of dataframes
# It seems face_dataframes is empty if the face database (directory) doesn't exist. Seems to work if it's empty though
# This line is here to prevent a crash if that happens. However, there is a check in __main__ so it shouldn't happen
face_dataframes = []
face_dataframes = []
try:
face_dataframes = DeepFace.find(
run_frame,
@ -117,12 +116,13 @@ def recognize_face(
silent=True,
# Could use VGG-Face, but whilst fixing another issue, ArcFace seemed to be slightly faster
# I read somewhere that opencv is the fastest (but not as accurate). Could be changed later, but opencv seems to work well
model_name="ArcFace", detector_backend="opencv"
)
model_name="ArcFace",
detector_backend="opencv",
)
except ValueError as e:
if (
str(e)
== "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
== "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
):
# print("No faces recognized") # For debugging
return None