Comments (4)
dilaragokay
commented on July 28, 2024
Hi @havok2-htwo,
Unfortunately, we have not tried running the TAP models in this repository on Windows. But this document shows how to install JAX with a section dedicated to Windows-specific steps.
Hope that helps, and let us know if you face any other issues!
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cdoersch
commented on July 28, 2024
I don't have experience using jax on windows, but https://pypi.org/project/jax/ suggests that you can use it via Windows Subsystem for Linux. Have you tried that?
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VincentSimonin
commented on July 28, 2024
I have a successful install on Windows by installing a wheel from here: jax-windows-builder
List of available wheels: https://whls.blob.core.windows.net/unstable/index.html
In my case:
pip install jaxlib-0.4.11-cp38-cp38-win_amd64.whl
Hope that helps!
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vitacon
commented on July 28, 2024
I have a successful install on Windows
Would you mind sharing your conda list?
I installed jax but now I get other error messages related to tensorflow so I suspect I need a different version of it.
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Related Issues (20)
- 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
- TAPIR PyTorch checkpoint size mismatch with model HOT 5
- TAPIR training time stats HOT 2
- TAPIR performance degradation with cudnn9 HOT 3
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