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The JWT signature verification failed. Check the signing key and the algorithm.
Error code: JWTInvalidSignature
Exception: InvalidSignatureError
Message: Signature verification failed
Traceback: Traceback (most recent call last):
File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
decoded = jwt.decode(
jwt=token,
...<2 lines>...
options=options,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
decoded = self.decode_complete(
jwt,
...<8 lines>...
leeway=leeway,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
decoded = self._jws.decode_complete(
jwt,
...<3 lines>...
detached_payload=detached_payload,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
self._verify_signature(
~~~~~~~~~~~~~~~~~~~~~~^
signing_input,
^^^^^^^^^^^^^^
...<4 lines>...
options=merged_options,
^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
raise InvalidSignatureError("Signature verification failed")
jwt.exceptions.InvalidSignatureError: Signature verification failedNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
ReinAD: Towards Real-world Industrial Anomaly Detection with a Comprehensive Contrastive Dataset
Our dataset consists of a training set and a test set. All normal and anomaly images are in hdf5 format. In the mask annotations, pixels with a value of 0 represent normal regions, and pixels with a value of 1 represent anomaly regions.
The file structure of the training set and the test set are consistent, as follows:
dataset/
├── train/
│ ├── category1.h5
│ ├── category2.h5
│ └── ...
│
└── test/
├── category1.h5
├── category2.h5
└── ...
The structure of the hdf5 file is as follows, where chunk_size = 100:
/ (root)
├── attrs
│ ├── split: "train"/"test"
│ └── category: category_name
│
├── Images
│ ├── Anomaly_0: [chunk_size, H, W, C] # Anomaly images
│ ├── Anomaly_1: [chunk_size, H, W, C]
│ ├── ...
│ ├── Normal_0: [chunk_size, H, W, C] # Normal images
│ ├── Normal_1: [chunk_size, H, W, C]
│ └── ...
│
└── Masks
├── Anomaly_0: [chunk_size, H, W] # Pixel-level annotations for anomaly images
├── Anomaly_1: [chunk_size, H, W]
└── ...
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