Skip to content

Latest commit

 

History

History
42 lines (31 loc) · 1.69 KB

README.md

File metadata and controls

42 lines (31 loc) · 1.69 KB

Prepare point clouds info files.

Given the licenses of respective raw datasets, we recommend users download the raw data from their official websites and then organize them following the below guide. Detailed steps are shown as follows.

  1. Download ScanNet v2 data HERE. Link or move the folder to this level of directory.

  2. Download 3RScan data HERE. Link or move the folder to this level of directory.

  3. Download Matterport3D data HERE. Link or move the folder to this level of directory.

  4. Organize the file structure. Under mmscan_data/embodiedscan-split/embodiedscan-v1, the directory structure should be as below, You are recommanded to create a soft link to the raw data folder under mmsan_data/embodiedscan-split/embodiedscan-v1.

    Additionally, create a process_pcd folder in the same directory to store the results. Similarly, we recommend using a symbolic link, as the total file size might be a little large (approximately 21GB)

    data
├── scannet
│   ├── scans
│   │   ├── <scene_id>
│   │   ├── ...
├── 3rscan
│   ├── <scene_id>
│   ├── ...
├── matterport3d
│   ├── <scene_id>
│   ├── ...
process_pcd
embodiedscan_infos_train.pkl
embodiedscan_infos_val.pkl
...

  5. Read raw files and generate processed point cloud files, by running the following scripts.

    python process_all_scan.py --nproc 8
# If your various file directories do not match the configuration settings, define them using --