hustvl/4DGaussians

Failed generate point clouds from input data using cut_roasted_beef dataset

Opened this issue · 4 comments

Hi I'm new to this project, I tried running the given dataset which is the cut_roasted_beef, but I met with an error which doesn't generate any fused points :

Starting fusion with 32 threads
Fusing image [1/20] with index 0 in 0.000s (0 points)
WARNING: Could not fuse any points. This is likely caused by incorrect settings - filtering must be enabled for the last call to patch match stereo.
Number of fused points: 0
Elapsed time: 0.000 [minutes]
Writing output: data/dynerf/cut_roasted_beef1/colmap/dense/workspace/fused.ply

I got the fused.ply file but when I tried the third step it doesn't return the points3D_downsample2.ply because the number of fused points are 0. I've tried running using the given example from the readme.md
Here I give the screenshot of the full return message. Thanks !!

Screenshot from 2024-07-11 14-49-08

e, what is r_0xx.png?
in my colmap process, the generated image will be like this:
image

e, what is r_0xx.png? in my colmap process, the generated image will be like this: image

Not sure what is the r_0xx.png, because it was created from the process. Sort of the images that was split from the video. The result of the first step. How come mine has different output than yours.

Hello! Your problem may be due to the incorrect installation of the colmap, which prevents CUDA from being called, you can try to reinstall the latest version of the colmap that comes with CUDA

I have the same issue
resolved by

conda install -c conda-forge colmap