Data Preparation

OccScanNet

LegoOcc is trained and evaluated on OccScanNet for monocular open-vocabulary occupancy prediction in indoor scenes.

Directory Structure

After preparation, the data/ directory should look like:

data/
└── occscannet/
    ├── train_final.txt
    ├── test_final.txt
    ├── train_mini_final.txt
    ├── test_mini_final.txt
    ├── gathered_data -> /path/to/OccScanNet/gathered_data
    ├── posed_images -> /path/to/OccScanNet/posed_images
    └── qwen25vl_7b_objects -> /path/to/text_annotations

OccScanNet

1. Download the dataset from hongxiaoy/OccScanNet.
2. Unzip the downloaded files.
3. Create symbolic links under data/occscannet/:

cd data/occscannet
ln -s /path/to/OccScanNet/gathered_data
ln -s /path/to/OccScanNet/posed_images
cd ../..