OpenSplat
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pierotofy
Production-grade 3D gaussian splatting with CPU/GPU support for Windows, Mac and Linux 🚀
Considering that this program can use CPU and low VRam cards to train, how about adding a way or parameter to continue training from saved splat.ply? Is this even feasible?
Would be cool to add support for processing metashape projects.
Hi, note that the Ubuntu version passed as --build-arg in the Dockerfile is not propagated to .github/workflows/cuda/Linux.sh: https://github.com/pierotofy/OpenSplat/blob/4d70016baae090f119eb346d9f9b35d62bb90597/.github/workflows/cuda/Linux.sh#L12 I'm not sure that this is a bug, but surely it would...
It would be a good idea to have some benchmarks around the training time / size of outputted splats in the README, for some GPU / CPU.
It can lower memory requirements.
There's currently a memory leak somewhere when running the MPS backend
SLAM based Gaussian Splatting can be used to address the scalability and performance problems encountered with SfM method. Moreover, it's a basic building block to enabling on-device 3D reconstruction. -...
it runs fine on the example datasets, i aligned with metashape, converted to nerfstudio with ns-process-data and exported a pointcloud/tiepoints in local coordinate system(i also tried mercator(epsg:3395) ply export) and...
Equirectangular image rendering support. See my repo for implementation. https://github.com/inuex35/360-gaussian-splatting
"parameter packs not expanded with" error using gcc 11.4.0 on ubuntu 22.04 x86_64 ``` [ 4%] Building CUDA object CMakeFiles/gsplat.dir/vendor/gsplat/forward.cu.o /usr/include/c++/11/bits/std_function.h:435:145: error: parameter packs not expanded with ‘...’: 435 |...
