cd ice-WACV2018
# Default Hyperparameters
python tools/c3d/train.py
# OR
python tools/c3d/train.py --gpu $CUDA_VISIBLE_DEVICES --batch_size $BS --lr $LR

cd ice-WACV2018
# Default Hyperparameters
python tools/c3d/extract_features.py
# OR
python tools/c3d/extract_features.py --gpu $CUDA_VISIBLE_DEVICES --batch_size $BS --checkpoint $C3D_CHECKPOINT

cd ice-WACV2018
# Default Hyperparameters
python tools/rnn/train.py
# OR
python tools/rnn/train.py --gpu $CUDA_VISIBLE_DEVICES --batch_size $BS --lr $LR

cd ice-WACV2018
# Default Hyperparameters
python demo/e2e_eval.py
# OR
python demo/e2e_eval.py --gpu $CUDA_VISIBLE_DEVICES --batch_size $BS --c3d_pth $C3D_CHECKPOINT --rnn_pth $RNN_CHECKPOINT

@inproceedings{icesurface2018wacv,
    title = {Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction},
    author = {Mingze Xu and Chenyou Fan and John D. Paden and Geoffrey C. Fox and David J. Crandall},
    booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
    year = {2018}
}

@inproceedings{icesurface2017icip, 
    title = {Automatic estimation of ice bottom surfaces from radar imagery},
    author = {Mingze Xu and David J. Crandall and Geoffrey C. Fox and John D. Paden},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    year = {2017}
}