See how to do so here. Notably, you must save the sparse and dense reconstructions as text in separate folders for the next step.
After converting a sequence to 3D points using COLMAP, saving both the sparse and dense point clouds as text, run convertColmap.py from ./utils and follow the prompts. Note that before you do you will need to have the sparse and dense point cloud from the previous step.
Described in pyrender/README.md.