Comments (2)
pengsongyou
commented on June 7, 2024
Hi @Solacex
Thanks for the interest in our work. If you directly use our pretrained model for evaluation, it just needs a machine with 20G GPU memory or so. If you wanna distill a model yourself, depending on your dataset, you normally needs 1-2 V100 or A100 to train for 1-2 days (2 A100s were the max I ran). If you have 4-8 A100s, you can increase the batch size, so the training can be faster.
The code is complete, and you should be able to train on your own.
Best
Songyou
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Solacex
commented on June 7, 2024
Cool, Thanks for the prompt response.
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Related Issues (20)
- Confusion about sinput of model HOT 1
- MinkowskiEngine HOT 1
- Misalignment in unprojected RGBD images HOT 5
- num_rand_file_per_scene HOT 6
- Eval on train dataset error HOT 3
- Question about labelset HOT 1
- Question about 3D point cloud visualization HOT 1
- Create a multi-view fusion feature using median method HOT 1
- Question about the labeling of scannet 2d data HOT 1
- Loading images
- Hi I want to do segmentation only on 3D point cloud how can I use the scripts to do so for a demo and which dataset HOT 1
- Checkpoint with input color HOT 2
- meet error when training on 1 GPU
- Issue running evaluation on AWS: version `GLIBC_2.33' not found HOT 4
- Should also add libxcb-cursor0 as the dependency for the Qt6.50 HOT 1
- Guidance on how to eval on my own dataset
- How to conduct open-vocabulary 3D search? HOT 1
- NaN or Inf found in input tensor
- About the details in demo HOT 1
- One file is missing in the nuscenes_3d val directory. HOT 3
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