Comments (4)
@meua Hi, UniAD is mostly based on mmdet3d v0.17.1:https://github.com/open-mmlab/mmdetection3d/tree/v0.17.1, which requires compiling on gpu. You can refer to their document for more details about installation. Once you have successfully installed the mmdet3d, the rest of packages required by UniAD are very easy to be installed.
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@meua Hi, UniAD is mostly based on mmdet3d v0.17.1:https://github.com/open-mmlab/mmdetection3d/tree/v0.17.1, which requires compiling on gpu. You can refer to their document for more details about installation. Once you have successfully installed the mmdet3d, the rest of packages required by UniAD are very easy to be installed.
Hello, I would like to ask, whether the version of mmdet3d can be upgraded to v1.1.1, have you done a compatibility test?
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@meua We may not upgrade the version of mmdet3d in a short period of time. The coordinate system in mmdet3d v1.xxx is different with currently used version (v0.17.1). Thus it requires a lot of effort to align all the transformations in gt generation and visualization.
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understand, thank you for your explanation.
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Related Issues (20)
- Question: how to run the model on a demo video
- AssertionError: MMCV==1.4.0 is used but incompatible. Please install mmcv>=2.0.0rc4, <2.2.0. HOT 1
- Question: How to extend the forecast time
- deploying
- Error during train stage2_e2e HOT 2
- Evaluation about uniad_base_e2e.pth HOT 1
- GPU memory is not released after training process is stopped HOT 2
- WARNING!!!!, Only can be used for obtain inference speed!!!! load checkpoint from local path: ./ckpts/uniad_base_track_map.pth The model and loaded state dict do not match exactly HOT 1
- 执行测试的时候出现模型权重的节点无法完全匹配 HOT 2
- Function _load_future_anns_plan is not defined
- batch size set
- messi bailando HOT 1
- GPU and Memory HOT 2
- Occupany Prediction
- project itself and mmdet3d numpy incompatible ; predict demo vedio completely different from the official one
- RuntimeError: replicas[0][0] in this process with sizes [200, 128] appears not to match sizes of the same param in process 0.
- TypeError: expected str, bytes or os.PathLike object, not _io.BufferedReader HOT 3
- A problem: "The model and loaded state dict do not match exactly", when I try to run the "Evaluation Example". HOT 5
- After running the evl command successfully, there are something else warning stuff.
- NameError: name 'planning_evaluation_strategy' is not defined HOT 7
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