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fix pr comments

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This commit is contained in:
Stefan Charsley 2025-03-02 23:28:01 +00:00
parent 984c829139
commit da41050308
1 changed files with 16 additions and 16 deletions
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32
deepface/api/src/modules/core/routes.py
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@ -85,12 +85,12 @@ def represent():
img_path=img,
model_name=input_args.get("model_name", "VGG-Face"),
detector_backend=input_args.get("detector_backend", "opencv"),
enforce_detection=input_args.get("enforce_detection", True),
align=input_args.get("align", True),
expand_percentage=input_args.get("expand_percentage", 0),
enforce_detection=input_args.get("enforce_detection", True) if type(input_args.get("enforce_detection", True)) is bool else input_args.get("enforce_detection") == "true",
align=input_args.get("align", True) if type(input_args.get("align", True)) is bool else input_args.get("align") == "true",
expand_percentage=int(input_args.get("expand_percentage", 0)),
normalization=input_args.get("normalization", "base"),
anti_spoofing=input_args.get("anti_spoofing", False),
max_faces=input_args.get("max_faces"),
anti_spoofing=input_args.get("anti_spoofing", False) if type(input_args.get("anti_spoofing", False)) is bool else input_args.get("anti_spoofing") == "true",
max_faces=None if input_args.get("max_faces", None) is None else int(input_args.get("max_faces")),
)
logger.debug(obj)
@ -120,13 +120,13 @@ def verify():
model_name=input_args.get("model_name", "VGG-Face"),
detector_backend=input_args.get("detector_backend", "opencv"),
distance_metric=input_args.get("distance_metric", "cosine"),
enforce_detection=input_args.get("enforce_detection", True),
align=input_args.get("align", True),
expand_percentage=input_args.get("expand_percentage", 0),
enforce_detection=input_args.get("enforce_detection", True) if type(input_args.get("enforce_detection", True)) is bool else input_args.get("enforce_detection") == "true",
align=input_args.get("align", True) if type(input_args.get("align", True)) is bool else input_args.get("align") == "true",
expand_percentage=int(input_args.get("expand_percentage", 0)),
normalization=input_args.get("normalization", "base"),
silent=input_args.get("silent", False),
threshold=input_args.get("threshold", None),
anti_spoofing=input_args.get("anti_spoofing", False),
silent=input_args.get("silent", False) if type(input_args.get("silent", False)) is bool else input_args.get("silent") == "true",
threshold=None if input_args.get("threshold", None) is None else float(input_args.get("threshold")),
anti_spoofing=input_args.get("anti_spoofing", False) if type(input_args.get("anti_spoofing", False)) is bool else input_args.get("anti_spoofing") == "true",
)
logger.debug(verification)
@ -164,11 +164,11 @@ def analyze():
img_path=img,
actions=actions,
detector_backend=input_args.get("detector_backend", "opencv"),
enforce_detection=input_args.get("enforce_detection", True),
align=input_args.get("align", True),
expand_percentage=input_args.get("expand_percentage", 0),
silent=input_args.get("silent", False),
anti_spoofing=input_args.get("anti_spoofing", False),
enforce_detection=input_args.get("enforce_detection", True) if type(input_args.get("enforce_detection", True)) is bool else input_args.get("enforce_detection") == "true",
align=input_args.get("align", True) if type(input_args.get("align", True)) is bool else input_args.get("align") == "true",
expand_percentage=int(input_args.get("expand_percentage", 0)),
silent=input_args.get("silent", False) if type(input_args.get("silent", False)) is bool else input_args.get("silent") == "true",
anti_spoofing=input_args.get("anti_spoofing", False) if type(input_args.get("anti_spoofing", False)) is bool else input_args.get("anti_spoofing") == "true",
)
logger.debug(demographies)