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South Dataset Preparation

Terms of Use

By accessing or using this dataset, you agree to the following terms:

  1. The dataset must not be distributed, shared, sublicensed, or redistributed, in whole or in part, without prior written permission from the dataset owners.
  2. The dataset may be used for research purposes only.

This directory contains the assets and preprocessing script for preparing the South dataset.

Directory Structure

Place the South dataset under data/south/ with the following layout:

data/
└── south/
    β”œβ”€β”€ left_images/
    β”œβ”€β”€ sat_images/
    β”œβ”€β”€ depths/
    β”œβ”€β”€ left_camera_poses.txt
    β”œβ”€β”€ sat_camera_poses.txt
    β”œβ”€β”€ pairs.txt
    └── process_data.py
  • left_images/: left camera images.
  • sat_images/: satellite BEV images.
  • depths/: depth maps corresponding to the left camera images.
  • left_camera_poses.txt, sat_camera_poses.txt, and pairs.txt: metadata used by the preprocessing script.

Preprocess the Dataset

From the project root, run:

cd data/south
python process_data.py

The script generates south_data.pth in the same directory.

Validate with LuSNAR

To conduct zero-shot testing on the South dataset after training on the LuSNAR dataset, copy the processed South dataset file into data/LuSNAR/:

cp data/south/south_data.pth data/LuSNAR/

Then update configs/warg_configs/warg_config.yaml to include the South split during testing:

data_keys: [train, val, test, south]

Finally, run training:

python train.py
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