Open cdcseacave opened 6 days ago
similar error for any dataset I try:
python mesh_extract.py -s data/bicycle/ -m outputs/bicycle -r 2 Loaded gaussians from outputs/bicycle/point_cloud/iteration_7000/point_cloud.ply Reading camera 194/194 cameras extent: 4.991958522796631 Segmentation fault (core dumped)
GPU info:
nvidia-smi Wed Jun 26 12:33:11 2024 +---------------------------------------------------------------------------------------+ | NVIDIA-SMI 535.129.03 Driver Version: 535.129.03 CUDA Version: 12.2 | |-----------------------------------------+----------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+======================+======================| | 0 NVIDIA A100-SXM4-40GB On | 00000000:06:00.0 Off | 0 | | N/A 32C P0 45W / 400W | 4MiB / 40960MiB | 0% Default | | | | Disabled | +-----------------------------------------+----------------------+----------------------+ +---------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=======================================================================================| | No running processes found | +---------------------------------------------------------------------------------------+
Please refer to #5.
thank you, reducing a lot the resolution helped (even though I have 40GB GPU memory)
is there a way to extract the mesh only for the ROI so that I can preserve details?
similar error for any dataset I try:
GPU info: