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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 failed

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YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

This is the Wildtrack dataset.

Annotations: Frame annotations are in the folder “annotations_positions”. Corresponding images from 7 cameras are in the folder “Image_subsets”.

In order to recover the 3D location of the target, you have to use the following information.

The “positionID” in .json files are indexed on a 480x1440 grid, X-first, with a 2.5cm spacing. The origin is (-3.0,-9.0) Therefore,

X = -3.0 + 0.025ID%480 Y = -9.0 + 0.025ID/480

The file “rectangles.pom” gives correspondence between rectangle IDs and 2D bounding boxes on each camera.

This files is needed to run algorithms such as https://github.com/pierrebaque/DeepOcclusion

It can be reproduced using https://github.com/pierrebaque/generatePOMfile

Camera calibrations: You will find camera calibrations in the folder “calibrations”. “extrinsic” contains extrinsic camera calibrations “intrinsic_zero” contains intrinsic calibrations for the images which have been undistorted. These are the ones which should be used for the images provided in this dataset. “intrinsic_original” contains calibrations for the original images and the original video, which we can provide if you ask.

If you use this dataset, please cite the paper: “The WILDTRACK Multi-Camera Person Dataset.” T.Chavdarova et al.

https://arxiv.org/pdf/1707.09299.pdf

If you need more unlabelled data, please contact us.
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