Update README.md

README.md

@@ -17,17 +17,17 @@ However, the *complete dataset generating process* is provided as followed:
 1. Clone the official MMDetection3D repository.
 
 ```bash
-git clone https://github.com/open-mmlab/mmdetection3d.git ISO
+git clone https://github.com/open-mmlab/mmdetection3d.git ISO_mm
 ```
 
 2. Swith to `v1.3.0` version.
 
 ```bash
-cd ISO
+cd ISO_mm
 git checkout v1.3.0
 ```
 
-3. Download the *ScanNet* dataset following [instructions](https://github.com/open-mmlab/mmdetection3d/tree/v1.3.0/data/scannet) and place `scans` directory as `ISO/data/scannet/scans`.
+3. Download the *ScanNet* dataset following [instructions](https://github.com/open-mmlab/mmdetection3d/tree/v1.3.0/data/scannet) and place `scans` directory as `ISO_mm/data/scannet/scans`.
 
 > :bulb: Note
 >
@@ -65,7 +65,7 @@ scannet
 
 The ground truth labels we used are from [SCFusion](https://github.com/ShunChengWu/SCFusion#generate-gt). Ground truth is available at [here](https://github.com/ShunChengWu/SCFusion#generate-gt).
 
-The ground truth label should be placed as `ISO/data/completescannet/gt`.
+The ground truth label should be placed as `ISO_mm/data/completescannet/gt`.
 
 6. Reformulate *CompleteScanNet*
 
@@ -73,7 +73,7 @@ The ground truth label should be placed as `ISO/data/completescannet/gt`.
 python preprocess_gt.py
 ```
 
-The resulted directory is `ISO/data/completescannet/preprocessed`.
+The resulted directory is `ISO_mm/data/completescannet/preprocessed`.
 
 Now, we obtained the following directory structure.
 
@@ -89,7 +89,7 @@ completescannet
 
 7. Create the *OccScanNet*
 
-First, you should create a directories with name `preprocessed_voxels` and `gathered_data` in data disk and link them to the `ISO/data/occscannet`.
+First, you should create a directories with name `preprocessed_voxels` and `gathered_data` in data disk and link them to the `ISO_mm/data/occscannet`.
 
 ```bash
 python generate_gt.py