Closed moqiyinlun closed 9 months ago
you can get sparse points with the function here
from thirdparty.gaussian_splatting.helper3dg import getcolmapsinglen3d
Thank you very much for your answer, and then I have a small question if the code handle masked images (white background) as in the original Gaussian with the args "--white_background"? Thanks again!
In this repo along with the three dataset, we opt not to use white pixels as background.
Thanks! I get pretty good results!
Since the pre_n3d.py script does not handle points3D.txt in the code, how can I get the initial point cloud for each frame to train?