behaviour-tree-test/thirdparty/meshoptimizer
Arseny Kapoulkine 6190d412d3 Adjust LOD selection metrics to use attribute error
- Revert meshoptimizer patch; the metric used for LOD selection now
incorporates attribute error
- Since LOD selection is now aware of attribute deviation, we don't
need to use a higher normal weight
- To prevent normal creases from creating input triangles with very
large normal deviation, reduce default normal merge threshold
- Since we now use combined metric to select LODs, we never need LODs
with error>1 as these should not be selected if the mesh is visible.
2025-05-18 17:38:54 +03:00
..
allocator.cpp
clusterizer.cpp
indexcodec.cpp
indexgenerator.cpp
LICENSE.md
meshoptimizer.h
overdrawanalyzer.cpp
overdrawoptimizer.cpp
quantization.cpp
simplifier.cpp Adjust LOD selection metrics to use attribute error 2025-05-18 17:38:54 +03:00
spatialorder.cpp
stripifier.cpp
vcacheanalyzer.cpp
vcacheoptimizer.cpp
vertexcodec.cpp
vertexfilter.cpp
vfetchanalyzer.cpp
vfetchoptimizer.cpp