Fusion results for all scans using
python eval.py \
--dataset_name blendedmvs \
--root_dir /home/ubuntu/data/BlendedMVS/dataset_full_res/ \
--split all \
--ckpt_path ckpts/exp_g8_blended/epoch.15.ckpt \
--num_groups 8 --depth_interval 192.0
and other default parameters in eval.py.
The point cloud sizes vary from 1M points to maximum 250M points for large scenes. Large scenes require ~10G RAM to open, so pay attention to free your memory before open the files otherwise your pc will freeze.
Due to the large size of some scenes, I compressed them. Please decompress before visualization.
Put under results/blendedmvs/points.
Use python visualize_ply.py --dataset_name blendedmvs --scan {scan name} to visualize.
Take a look at BlendedMVS_scenes to quickly find out how the scenes look like.
Note: scenes 5bbb6eb2ea1cfa39f1af7e0c and 5b558a928bbfb62204e77ba2 are still more than 2GB after compression, so I cannot put them here. All other 111 scenes are available.