@article{zins2022multi,
  title={Multi-View Reconstruction using Signed Ray Distance Functions (SRDF)},
  author={Zins, Pierre and Xu, Yuanlu and Boyer, Edmond and Wuhrer, Stefanie and Tung, Tony},
  journal={arXiv preprint arXiv:2209.00082},
  year={2022}
}

conda create -n srdf python=3.7
conda activate srdf
conda install -c conda-forge pyembree embree=2.17.7 
pip install -r requirements.txt
PATH=/usr/local/cuda-11.2/bin:$PATH pip install pycuda

python render/prt_utils.py -i ./data/rp_free_posed_people_OBJ/rp_dennis_posed_004_OBJ/ -n 40  

python render/render_data_srdf.py  -i ./data/rp_free_posed_people_OBJ/rp_dennis_posed_004_OBJ/ -o ./data/dataset_RP -p persp -e -s 2048    

python ./src/visual_hull.py -d ./data/dataset_RP/ -s rp_dennis_posed_004 -dt RP -o mesh_vh

python ./src/compute_depthmaps.py -d data/dataset_RP/ -s rp_dennis_posed_004 -o depthmaps_init_1 -m mesh_vh --override -dt RP        

# Edit the scripts ./configs/conf_rp.yaml and ./src/run_optimization_rp.sh and run:
sh ./src/run_optimization_rp.sh

# Edit the parameters in script ./src/reconstruct.sh, and run:
sh ./src/reconstruct.sh rp_dennis_posed_004 9999 depthmaps_optimized 

PATH=/usr/local/cuda-11.2/bin:$PATH python ./src/tsdf_fusion_rp.py -i data/dataset_RP/tsdf_fusion_data/ -o data/rp_dennis_posed_004.ply  

python ./src/clean_mesh_trimesh.py -i ./data/rp_dennis_posed_004.ply -d ./data/dataset_RP/ -s rp_dennis_posed_004 -dt RP

# Edit the parameters inside the script and run:
python ./src/create_dtu_dataset.py

# Edit the scripts ./configs/conf_dtu.yaml and ./src/run_optimization_dtu.sh and run:
sh ./src/run_optimization_dtu.sh

# Edit the parameters inside the script ./src/reconstruct.sh, and run:
sh ./src/reconstruct.sh scan083 9999 depthmaps_optimized/1

python ./src/pointcloud_fusion.py -d ./data/dataset_dtu/ -i ./data/dataset_dtu/depthmaps_optimized/1/scan083/9999/ -dt DTU
python ./src/clean_pcd_trimesh.py -i ./data/dataset_dtu/depthmaps_optimized/1/scan083/9999/fused.ply -d ./data/dataset_dtu/ -dt DTU -s scan083

python ./src/eval.py --data ./data/dataset_dtu/depthmaps_optimized/1/scan083/9999/fused.ply --mode pcd --scan 83 --dataset_dir /disk/data/DTU/ --vis_out_dir ./data/eval

PATH=/usr/local/cuda-11.2/bin:$PATH python ./src/tsdf_fusion.py -i data/dataset_dtu/tsdf_fusion_data/ -o data/scan083.ply     

python ./src/clean_mesh_trimesh.py -i ./data/scan083.ply  -d ./data/dataset_dtu -s scan083 -dt DTU

# Edit the scripts ./configs/conf_blendedmvs.yaml and ./src/run_optimization_blendedmvs.sh and run:
sh ./src/run_optimization_blendedmvs.sh

# Edit the parameters inside the script ./src/reconstruct.sh, and run:
sh ./src/reconstruct.sh scene_51 99990 depthmaps_optimized/1  

python ./src/pointcloud_fusion.py -d ./data/dataset_blendedmvs/ -i ./data/dataset_blendedmvs/depthmaps_optimized/1/scene_51/99990/ -dt BlendedMVS --pp

python ./src/pcd_to_mesh_open3d.py -i ./data/dataset_blendedmvs/depthmaps_optimized/1/scene_51/99990/fused.ply

# Edit the script to put the path to PoissonRecon
python ./src/run_poisson.py  -i data/dataset_blendedmvs/depthmaps_optimized/1/scene_51/99990/fused_nmls.ply --out data/dataset_blendedmvs/depthmaps_optimized/1/scene_51/99990/mesh.ply --threads 16 --depth 13 --trim 7

mkdir /disk/data/DTU/Surfaces/spsr -p      
# Edit the parameters inside the script and run:
python ./src/reconstruct_dtu_meshes.py -i /disk/data/DTU/Points/stl/ -o /disk/data/DTU/Surfaces/spsr

# Edit the parameters and run
python ./src/create_dtu_dataset.py

# Original resolution
python ./src/compute_depthmaps.py -d data/dataset_dtu_full/ -s scan001 -o depthmaps_gt_1 -m mesh_gt --override -dt DTU

# Lower resolution
python ./src/compute_depthmaps.py -d data/dataset_dtu_full/ -s scan001 -o depthmaps_gt_0.5 -m mesh_gt --override -dt DTU --rescale 0.5                                                                                            

# Original resolution
python ./src/train_photo.py -n model_dtu -d ./data/dataset_dtu_full/ --num_rays 5000 --num_workers 12 --freq_val 5 --freq_log 5 --num_epoch 15000 --num_samples 2 -dt DTU -ol 2 -oh 100 --depthmaps_gt depthmaps_gt_1

# Lower resolution
python ./src/train_photo.py -n model_dtu_low_res -d data/dataset_dtu_full --num_rays 5000 --num_workers 12 --freq_val 5 --freq_log 5 --num_epoch 15000 --num_samples 2 -dt DTU -ol 2 -oh 100 --depthmaps_gt depthmaps_gt_0.5 --rescale 0.5 

# Continue from checkpoint
python ./src/train_photo.py -n exp_dtu -d data/dataset_dtu_full/ --num_rays 5000 --num_workers 12 --freq_val 5 --freq_log 5 --num_epoch 15000 --num_samples 2 -dt DTU -ol 2 -oh 100 --depthmaps_gt depthmaps_gt_1 --load_checkpoint ./logs/model_dtu/version_0/checkpoints/last.ckpt

# See training logs
tensorboard --logdir ./logs/