Dataset Preparation for Evaluation

We provide scripts to download and prepare the datasets for evaluation. The datasets include: Sintel, Bonn, KITTI, NYU-v2, TUM-dynamics, ScanNetv2, and DAVIS.

Download Datasets

Sintel

To download and prepare the Sintel dataset, execute:

cd data
bash download_sintel.sh
cd ..

# (optional) generate the GT dynamic mask
cd ..
python datasets_preprocess/sintel_get_dynamics.py --threshold 0.1 --save_dir dynamic_label_perfect 

Bonn

To download and prepare the Bonn dataset, execute:

cd data
bash download_bonn.sh
cd ..

# create the subset for video depth evaluation, following depthcrafter
cd datasets_preprocess
python prepare_bonn.py
cd ..

KITTI

To download and prepare the KITTI dataset, execute:

cd data
bash download_kitti.sh
cd ..

# create the subset for video depth evaluation, following depthcrafter
cd datasets_preprocess
python prepare_kitti.py
cd ..

NYU-v2

To download and prepare the NYU-v2 dataset, execute:

cd data
bash download_nyuv2.sh
cd ..

# prepare the dataset for depth evaluation
cd datasets_preprocess
python prepare_nyuv2.py
cd ..

TUM-dynamics

To download and prepare the TUM-dynamics dataset, execute:

cd data
bash download_tum.sh
cd ..

# prepare the dataset for pose evaluation
cd datasets_preprocess
python prepare_tum.py
cd ..

ScanNet

To download and prepare the ScanNet dataset, execute:

cd data
bash download_scannetv2.sh
cd ..

# prepare the dataset for pose evaluation
cd datasets_preprocess
python prepare_scannet.py
cd ..

DAVIS

To download and prepare the DAVIS dataset, execute:

cd data
python download_davis.py
cd ..