Comments (4)
Hey @LiXiang0021, thanks for using our code!
It seems that the log path is invalid. You may double-check the file/folder names to be readable by python.
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Thanks for your answer, doctor Chen!
It works.
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@LiXiang0021, I'm happy it works for you! I would appreciate it if you could star our repo to let more people see it.
Since the issue is solved, I would like to close it. Please feel free to contact me if you find any other problems.
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Thanks for your quick response!
@Chen-Xieyuanli
I trained with salsa_mos in semantic kitti. When it run here
Lr: 3.977e-03 | Update: 3.258e-04 mean,5.209e-04 std | Epoch: [0][950/2391] | Time 0.641 (0.623) | Data 0.081 (0.067) | Loss 0.6863 (0.9777) | acc 0.830 (0.855) | IoU 0.417 (0.434) | [1 day, 3:19:41]
LiDAR-MOS/mos_SalsaNext/train/tasks/semantic/../../common/laserscan.py:166: RuntimeWarning: invalid value encountered in true_divide pitch = np.arcsin(scan_z / depth)
i got error
File "conda/envs/salsa/lib/python3.9/site-packages/torch/_utils.py", line 457, in reraise raise exception IndexError: Caught IndexError in DataLoader worker process 1.
and
File "LiDAR-MOS/mos_SalsaNext/train/tasks/semantic/../../common/laserscan.py", line 201, in do_range_projection self.proj_range[proj_y, proj_x] = depth IndexError: index -2147483648 is out of bounds for axis 0 with size 64
The conda env is
`- python=3.9.12=h12debd9_0
- python-flatbuffers=1.12=pyhd3eb1b0_0
- pytorch=1.11.0=py3.9_cuda11.3_cudnn8.2.0_0
- pytorch-mutex=1.0=cuda
- tensorflow-base=2.6.0=mkl_py39h3d85931_0
- tensorflow-estimator=2.6.0=pyh7b7c402_0`
Is there any wrong with this env?or it is too new?
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Related Issues (20)
- How to export the dmo video? HOT 2
- How to train this code on multi-GPUs? HOT 4
- How to re-train when training is unexpectedly interrupted? HOT 8
- How to use the pretrained model to test my own Lidar Scans? HOT 5
- About set my own Lidar pose to kitti format pose HOT 3
- how to visualize? HOT 4
- How did you define the moving and static object HOT 4
- About using my own lidar data and lidar pose HOT 2
- Salsanext HOT 20
- 关于使用rangenet的问题 (Problem when using rangenet) HOT 4
- deployment
- Headless way to visualize the result? HOT 1
- About training time HOT 3
- moving and static object
- 在保存训练模型时遇到问题 (Problem while saving training model)
- Try with different sensor
- salsanext issue
- 请问如何对预训练模型进行微调?
- core dumped when infering with SalsaNext
- About the issue of multi-GPU training.
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