Pulling data from DUSt3R to fit the COLMAP output format.
wget -nc https://download.europe.naverlabs.com/ComputerVision/DUSt3R/DUSt3R_ViTLarge_BaseDecoder_512_dpt.pth -P checkpoints/
git clone https://github.com/naver/dust3r --recursive
pip install -r requirements.txt
Make dir 'scene_name' in data/images/ Download image to scene_name folder
Directory setting is needed before running the code
dust3r_inference.py
- Source images are saved under
/data/imageswith each folder named after thescene_name. - For each
scene_name, a directory/data/scenes/scene_nameis created, and inside it, the required COLMAP output data is generated in thesparse/0folder.
