Comments (2)
Hi!
Thank you for your interest in our work.
As also done for the HR-Avenue and HR-STC datasets, the sequences are extracted using alphapose for the pose estimation and poseflow for tracking people in the videos. The 17 keypoints are in the COCO format.
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Hi!
We added the code that we used to annotate UBnormal. Please refer to this README for further details.
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Related Issues (15)
- IsADirectoryError: [Errno 21] Is a directory: '/workspace/MoCoDAD/checkpoints/HR-Avenue/train_experiment' HOT 2
- Human posture sequence HOT 3
- UBnormal - hr_bool_masks HOT 2
- In testing. ValueError: need at least one array to stack. HOT 8
- Why perform affine transformation on original coordinates? HOT 2
- Inconsistent accuracy HOT 5
- Could you help me with error please? HOT 5
- How can I test HR-UBnormal? HOT 6
- Train and evaluate with custom dataset HOT 1
- some questions about the dataset HOT 6
- How we can generate the qualitative result through evaluation or prediction HOT 2
- Dataset preparation HOT 2
- Dataset HOT 4
- how to visualize HOT 1
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