FacadeNet's code is built based on the swapping-autoencoder repo code structure
conda env create -f environment.yml
Root
- Facades(Rectified facade images downloaded from lsaa
- horizontal maps
- vertical maps
- DINO features(Extract features using DINOv2)
- Depth
Click on the link to download the data: Link
python -m experiments facades_vec_pc_lr train facadenet
Download facadenet pre-trained weights Link in checkpoints/facadenet/ folder
python -m experiments facades_vec_pc_lr test facadenet
