Comments (2)
Please download the second-stage training log here: https://github.com/OpenDriveLab/UniAD/releases/download/v1.0/uniad_e2e_20ep_train.log
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Thank you very much!
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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 HOT 2
- 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 4
- 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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