Comments (4)
I use ubuntu 18, python 3.8, torch 1.13.1, cuda 11.6
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@r530044129 Hi, have you modified the code? NVdiffrast is not supposed to run in CUDA context in non-gui mode as there are many limitations, like this one.
You could make H/W divisible by 8 before passing it to ``mark_unseen_triangles` if you have to use CUDA context, but it will still error out in texture exportation (unless you reduce texture resolution to 2048 and ssaa to 1, since the max resolution CUDA context support is 2048).
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@ashawkey yeah, I forget tell you that I do have changed code, in mark_unseen_triangles(),I change OpenGL to Cuda, around line 818.
Because When I use default code, there is an Aborted after Saving Mesh, see this picture
[F glutil.cpp:338] eglInitialize() failed
And after some google search, someone suggest maybe I could use cuda to replace Opengl, but it's seems not work too, lol
Hope you can help me to figure out the Aborted Problem, thanks!
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This indicates the OpenGL installation is somewhat wrong. You may refer to this sicxu/Deep3DFaceRecon_pytorch#2.
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Related Issues (20)
- getting segmentation fault (core dumped) at stage 1 HOT 1
- Support fo Semantic-Nerf or other similar pipelines to have mesh output.
- Fail to get stage0: COLMAP HOT 1
- (WSL)Saving mesh_stage0——killed HOT 2
- Training failed for high number of iterations in stage 0 with default settings in sdf mode
- 'TCNN_hashgrid' object has no attribute 'grad_total_variation' if I use "--tcnn"
- llff_fern dataset get error width and height must be divisible by 8
- 我在太阳光下,拍摄一段视频,然后进行重建,结果不理想
- Is your stage 0 based on SNeRF and instant-ngp?
- Reported PSNR very low, but visualization looks good
- can not reach the proposed PSNR
- [F glutil.cpp:338] eglInitialize() failed错误 HOT 6
- OpenGL 不支持 HOT 1
- RuntimeError: width and height must be divisible by 8 HOT 2
- Only generated two ply files,but stage 1 need 5
- Inference
- Guide of using sdf mode HOT 1
- OOM Problem
- Mesh quality from stage0 is poor
- Install raymarching raise a LINK : fatal error LNK1181
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