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Hi!
Thank you so much for opening up the OSDaR23 dataset and devkit. This is the most valuable dataset I have ever seen, and I think it is a milestone in improving the level of autonomous train. A…
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Hi there, we're considering if the agent could benefit from more than just keyframe images to generate the right answers. Is that possible to use some extra infomations from nuscenes in this task, lik…
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Hi,
Thanks for your wonderful work on this paper, you guys did a good job!
I have a question: did you use the training set obtained from all cameras on the Nuscenes dataset?
Thanks ahead for …
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Hi,
the README.md file in video branch contains this:
```
Datasets
Please prepare the nuScenes dataset as [bevfusion's instructions](https://github.com/mit-han-lab/bevfusion#data-preparation).…
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Hi :)
I'm using Xtreme v0.9 locally on my workstation and want to label a Lidar Fusion Dataset.
When uploading a dataset it gets stuck at 0% pending (see screenshot)
![image](https://github.c…
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Thank you very much for your contribution to the new dataset!
Although the RCooper dataset contains both Lidar and RGB data, do you only provide an API for Lidar data, and do the baseline tests in yo…
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Hi, thank you for your work and for making it available for use. I would be really interested in using your method for flow estimation on a personal dataset, but I can't really grasp what kind of prep…
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(bevfusion) susie.sun@yizhu-R5300-G5:~/bevfusion$ torchpack dist-run -np 8 python tools/test.py configs/nuscenes/det/transfusion/secfpn/camera+lidar/swint_v0p075/convfuser.yaml pretrained/bevfusion-de…
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I am trying to use my own Lidar data to test PV-RCNN instead of kitti data, I used similar kaggle annotations
However, I get an error when trying to run the code and the error message is as follows
…
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## Keyword: SLAM
There is no result
## Keyword: Visual inertial
There is no result
## Keyword: livox
There is no result
## Keyword: loam
There is no result
## Keyword: Visual inertial odom…