You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I'm on Ubuntu 24.10 and the installation of everything and the conda environment with its dependencies went without problems.
I have a lot of images extracted from a video with the following command:
ffmpeg -i <PATH to video file> -qscale:v 1 -qmin 1 -vf fps=2 %04d.jpg
Then I have create the dataset with the command:
python3 convert.py -s <PATH>/<Foldername>/
Everything has worked without any error messages.
Then I try to do the training with this command:
python3 train.py -s data/Custom_data
This produces the following error:
Traceback (most recent call last):
File "/home/christin/gaussian-splatting/train.py", line 16, in <module>
from gaussian_renderer import render, network_gui
File "/home/christin/gaussian-splatting/gaussian_renderer/__init__.py", line 14, in <module>
from diff_gaussian_rasterization import GaussianRasterizationSettings, GaussianRasterizer
File "/home/christin/anaconda3/envs/gaussian_splatting/lib/python3.12/site-packages/diff_gaussian_rasterization/__init__.py", line 15, in <module>
from . import _C
ImportError: /home/christin/anaconda3/envs/gaussian_splatting/lib/python3.12/site-packages/diff_gaussian_rasterization/_C.cpython-312-x86_64-linux-gnu.so: undefined symbol: __cxa_call_terminate
Any help would be really apprectiated!
``
The text was updated successfully, but these errors were encountered:
I'm on Ubuntu 24.10 and the installation of everything and the conda environment with its dependencies went without problems.
I have a lot of images extracted from a video with the following command:
ffmpeg -i <PATH to video file> -qscale:v 1 -qmin 1 -vf fps=2 %04d.jpg
Then I have create the dataset with the command:
python3 convert.py -s <PATH>/<Foldername>/
Everything has worked without any error messages.
Then I try to do the training with this command:
python3 train.py -s data/Custom_data
This produces the following error:
Any help would be really apprectiated!
``
The text was updated successfully, but these errors were encountered: