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Hi,
I am trying to train the BEVFusion detection model on a Slurm based cluster and got this error when choosing np > 1:
```bash
+ torchpack dist-run -np 6 python3 tools/train.py configs/nuscenes/d…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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Dear authors, thank you for your great work.
I was trying to use the network for both training and evaluation. I set up the environtment using the Dockerfile that the authors provide and followed th…
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I followed the installation instructions in the README, but I encountered some issues during the dataset installation step.
I downloaded the dataset from the nuScenes website, but I wasn't sure whi…
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Hello @hopef
I found a issue mentioned the problem on official bevfusion repo. Link: https://github.com/mit-han-lab/bevfusion/issues/176
It shows a quite complicated way for getting the pre-trained…
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hello, tianweiy! Can you share how you train the model **Centernet2**, and how about the performance, like miou ....Thankyou!
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This script seems to only be able to handle nulmages data, can you have him handle nuScenes data?
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I train the model on 3 RTX3090 and finish the first epoch after about 10hours ,but its stuck on the end of the first epoch before save checkpoint. I use this command to train.
torchpack dist-run -np …
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Hi @yichen928 ,
SparseFusion is really a nice work, but I wonder how did you obtain the initial weights: sparsefusion_voxel0075_SwinT_initial and sparsefusion_voxel0075_R50_initial?
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Thanks for providing this package. I am successfully able to use the torchpack dist-run -np ${_ngpu} command on a slurm cluster when using only 1 node.
Could you please explain how to use this with …