Comments (4)
- the pre-trained models do not distinguish between moving and non-moving objects.
- we provide here models for semantic segmentation, i.e., you will need to perform some clustering afterwards to get all points belonging to a single instance and use this to generate a bounding box.
- in our experience does this not work. There will be a significant drop in accuracy.
- the dataloader expects a certain folder structure. if you want to use a different structure then you have to replace the data loader or rewrite it.
We provide the code here for demonstration purposes and to give a starting point for your own development. We do not have the intention to cover all uses cases.
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@Chen-Xieyuanli @tano297 @niosus any updates on these queries??
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@jbehley thanks for the response . as you mentioned i shall make a pull request as i want to keep adding features for this . Thanks for open sourcing the work i was looking where to start from and urs gave me a starting point .
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there is no need to have a pull request per se. Only if you think that others could benefit from your effort.
Could I answer your questions and can we close this issue? (you can also re-open the issue if you feel something needs to be clarified.)
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Related Issues (20)
- Expected object of scalar type Long but got scalar type Int for argument #2 'target'
- Question about speed after tensorrt of rangenet++ HOT 2
- Possibility of rosifying the process HOT 1
- No error or no visualizations when executing the viusalization.py file
- Questions about the learning setting HOT 1
- Where are the pretrained models HOT 4
- Inference, and training not working on Semantic KITTI dataset. HOT 2
- index the unused points HOT 1
- KNN HOT 1
- Module not found error when running the infer function to get the prediction.
- RangeNet++
- tensorflow / cuda / python versions for 22.04/20.04 HOT 2
- Where is the rangenet? HOT 1
- about labels/semantic-kitti yaml
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- IndexError: index -2147483648 is out of bounds for axis 0 with size 64 HOT 6
- About learning_map in semantic-kitti.yaml file HOT 3
- Where do the values in arch_cfg.yaml file come from, especially fov_up, fov_down, img_means, img_stds? HOT 4
- IndexError HOT 2
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