Update README.md

prashkmr · May 7, 2024 · 10624d7 · 10624d7
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commit 10624d7
Showing 1 changed file with 13 additions and 8 deletions.
diff --git a/README.md b/README.md
@@ -53,13 +53,15 @@ 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`
+ `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
 
- `cd kitti/
- python GLiDR_kitti.py --data data/kitti/ --exp_name glidr_kitti_dense --beam 64 --dim 8 --batch_size 8 --mode kitti`
+ `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.
@@ -68,12 +70,15 @@ We trained our models on a single NVIDIA A100 GPU. We have 2 version per dataset
 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`
+ ` 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/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.