Open zhouilu opened 3 months ago
Hi @zhouilu ! Have you ever tried visualizing the Gaussian model with sh_degree=0
? The mesh extraction is based on the rendered depth, so it won't fail as long as the depth map can be rendered. You can check it with python render.py -m {$output_path} --iteration 7000 --render_other
(Trim3DGS) or python render.py -m {$output_path} --iteration 7000 --skip_mesh
(Trim2DGS). The rendered maps are stored in $output_path/train/ours_7000
. Hope this helps!
sh_degree=0 render is ok in https://playcanvas.com/supersplat/editor
, and got good psnr..
Are the depth maps rendered successfully?
sh_degree=0 render is ok in
https://playcanvas.com/supersplat/editor
, and got good psnr..
Are the depth maps rendered successfully?
sh_degree=0 render is ok in
https://playcanvas.com/supersplat/editor
, and got good psnr..
yes. like
If possible, could you upload an output sample that includes point_cloud/iteration_xxx/point_cloud.ply
and cfg_args
? I'm willing to analyze the specific issue based on it.
command is
OMP_NUM_THREADS=4 CUDA_VISIBLE_DEVICES=0 python extract_mesh_tsdf.py -s data -m output/8a06585b-5/ --eval -i images --iteration 7000 --voxel_size 0.004 --sdf_trunc 0.04 -r 4 --data_device=cpu --sh_degree 0
get error, here is logi use 0 sh_degree, and tune.py render.py metrics.py are running ok. could you give some advice? thanks~