Comments (3)
Hi, we're still working on a release for this. Assuming our ICCV submission is accepted, it will be released before the conference.
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I have noticed this update: https://github.com/google-research/kubric/tree/main/challenges/movi#movi-e
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Given that the paper was accepted by ICCV, is there any update on this issue?
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Related Issues (20)
- Re: architecture of ResNet used for track initialization HOT 2
- _pickle.UnpicklingError: Failed to interpret file '../checkpoint/checkpoint.npy' as a pickle HOT 2
- is there an open version of control code of robotap HOT 1
- OnnxExporterError: Unsupported: ONNX export of operator GridSample with 5D volumetric input. HOT 5
- ValueError: All `hk.Module`s must be initialized inside an `hk.transform` HOT 12
- ValueError: converting frame count is not supported. HOT 8
- robotap's query points selection question HOT 5
- Torchscript compatibility HOT 6
- Has anyone implemented it with tensorrt? HOT 1
- None of the algorithms provided by cuDNN heuristics worked; trying fallback algorithms HOT 2
- Pytorch <2.1.0 can't load the checkpoints correctly HOT 1
- Pretrained Weights for Pytorch Version of Online Tapir/BootsTapir HOT 2
- IndexError: boolean index did not match indexed array along dimension 1; dimension is 256 but corresponding boolean dimension is 990 HOT 2
- Training TAPIR PyTorch version script? HOT 7
- BootsTAP Training Dataset HOT 1
- `plot_tracks_v2` has bug when plotting with `trackgroup` argument. HOT 2
- KeyError: 'global_step' When I load the weight of TAPIR HOT 5
- CUDA out of memory issue when using PyTorch weights instead of JAX weights. HOT 2
- pytorch version TAPIR 's training file HOT 1
- Annotation Tool for TAP-VID HOT 2
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