conda env create -f environment.yml
conda activate neural-fusion

python train.py --experiment_path /path/where/you/want/to/save/the/experiment \ 
                --data_path /path/to/your/data \
                --config configs/train/your/config.yaml

python test.py --test /path/to/your/test/config \
               --root_path /path/where/you/saved/your/experiments \
               --data_path /path/to/your/data \
               --experiment $experiment_name \ 
               --version $experiment_version \
               --checkpoint $experiment_checkpoint

export DATA_PATH=/path/to/your/preprocessed/shapenet/data


python test.py --test configs/test/shapenet/shapenet.noise.005.yaml \
               --root_path pretrained_models \
               --data_path $DATA_PATH \
               --experiment shapenet_noise_005 \ 
               --version 0 \
               --checkpoint best.ckpt