conda env create -f environment.yml
conda activate 3dfires

# Download Pretrained Model
cd ckpts
wget https://www.dropbox.com/scl/fi/n5en8p4rqyudrj4kg8f3g/model_0299999.pth?rlkey=mva5crd8smkegkzgl41zh89tv
cd ..

wget -O dataset.tar "https://www.dropbox.com/scl/fi/hv4zn8s09vjsy0en0au0v/dataset.tar?rlkey=4910bmzoflnhpymfp1m1inhtj&dl=1"
tar -xvf dataset.tar

conda install -c conda-forge aria2
pip install 'omnidata-tools'
omnitools.download rgb depth_zbuffer \
   --components taskonomy \
   --subset medium \
   --dest ./dataset/omnidata \
   --name YOUR_NAME --email YOUR_EMAIL --agree_all \
   --only_download True \
   --keep_compressed True 

git clone git@github.com:devsnd/tarindexer.git
cd tarindexer
ROOT=../dataset/omnidata
tar=$ROOT/compressed
tarindex=$ROOT/tarindex
mkdir -p $tar
mkdir -p $tarindex
ls $tar | xargs -I{} python tarindexer.py -i $tar/{} $tarindex/{}

bash eval.sh

bash train.sh