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Update README.md
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prashkmr committed May 7, 2024
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Expand Up @@ -52,28 +52,31 @@ We trained our models on a single NVIDIA A100 GPU. We have 2 version per dataset

1. **Train on KITTI dataset**:
Sparse Version

`cd kitti/
python GLiDR_kitti.py --data data/kitti/ --exp_name glidr_kitti_sparse --beam 16 --dim 8 --batch_size 32 --mode kitti`

Dense Version
Dense Version

`cd kitti/
python GLiDR_kitti.py --data data/kitti/ --exp_name glidr_kitti_dense --beam 64 --dim 8 --batch_size 8 --mode kitti`

--beam : Denotes the number of beam that ar allowed in the LiDAR.
--dim : Sparsifies the outermost dimension of the range image (for CARLA, outermost dimesion is 1024). For more details on this, please refer to Section 5.2 of the paper.
--beam : Denotes the number of beam that ar allowed in the LiDAR.
--dim : Sparsifies the outermost dimension of the range image (for CARLA, outermost dimesion is 1024). For more details on this, please refer to Section 5.2 of the paper.


1. **Train on CARLA dataset**:
Sparse Version
` cd carla/
python GLiDR_kitti.py --data data/carla/ --exp_name glidr_carla_sparse --beam 16 --dim 4 --batch_size 32 --mode carla`

Dense Version
`cd carla/
python GLiDR_kitti.py --data data/kitti/ --exp_name glidr_carla_dense --beam 64 --dim 4 --batch_size 8 --mode carla`
` cd carla/
python GLiDR_kitti.py --data data/carla/ --exp_name glidr_carla_sparse --beam 16 --dim 4 --batch_size 32 --mode carla`

Dense Version
`cd carla/
python GLiDR_kitti.py --data data/kitti/ --exp_name glidr_carla_dense --beam 64 --dim 4 --batch_size 8 --mode carla`

--beam : Denotes the number of beam that ar allowed in the LiDAR.
--dim : Sparsifies the outermost dimension of the range image (for CARLA, outermost dimesion is 512). For more details on this, please refer to Section 5.2 of the paper.
--beam : Denotes the number of beam that ar allowed in the LiDAR.
--dim : Sparsifies the outermost dimension of the range image (for CARLA, outermost dimesion is 512). For more details on this, please refer to Section 5.2 of the paper.



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