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Hi!
Thank you authors for your amazing work!
I have been working with BEVFusion for some time and I would like to implement it on a detection pipeline for a custom application. I have already traine…
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Hi, Thanks for sharing such a great work. Did you use swint-nuImages checkpoint for BEVFusion-SST or UniM2AE?
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```
(base) torchpack dist-run -np 8 python tools/test.py configs/nuscenes/det/transfusion/secfpn/camera+lidar/swint_v0p075/convfuser.yaml pretrained/bevfusion-det.pth --eval bbox
Traceback (most rec…
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I have an error when I try to use your code.
` File "/home/user/Documents/GitHub/bevfusion/mmdet3d/datasets/pipelines/loading.py", line 728, in __call__
radars_dict = results['radar']
KeyErro…
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Thank you for providing the Docker environment. The **original command** for multi-gpu training is as follows:
```bash
torchpack dist-run -np 8 python tools/train.py configs/nuscenes/det/cente…
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Hi, I think it's really amazing the work you've done, congrats!! For my thesis project, I would like to use your network to analyze point cloud data, so right now what I have is only a series of .pcd …
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I use the newest code to train.
The training performance is far lower than the official mAP of 68.52 and NDS of 71.38.
May I ask if anyone has encountered this problem?
```
Results writes to /tm…
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Hi, I have some questions about training the TransFusion-LC.
- You mentioned in the supplementary materials that a 2D backbone pre-trained on the autonomous driving datasets is required and frozen …
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I ported bevfusion to my own project, but the trained mAP is very low(up to 0.59). I don't know what the situation is. I have tried to adjust and modify many times, can anyone help me find some reason…