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SarahWeiii / CoACD

[SIGGRAPH2022] Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search
https://colin97.github.io/CoACD/
MIT License
441 stars 57 forks source link

any tips for making the library run faster? #47

Open eilat-inbal opened 1 month ago

eilat-inbal commented 1 month ago

Hi, Thanks for this awesome library! I'm getting great results but the computation time is very long... Any tips on how to make it run faster? I'm running on windows, c++ like this:

coacd::Params params; params.preprocess_mode = "on"; params.prep_resolution = 150; params.pca = false; params.mcts_max_depth = 2; params.mcts_iteration = 60; params.merge = true; params.threshold = 0.02; coacd::Model convexMesh; convexMesh.Load(vertices, indices); convexParts = coacd::Compute(convexMesh, params);

for my mesh, with these parameters t took a few minutes! I tried making the threshold bigger and the prep_resolution smaller. and that helps but the computation is still very long, and the results are not as good... any further options for multithreading? for GPU?

image

thanks! Inbal

SarahWeiii commented 1 month ago

Hi, the code supports using OpenMP for parallel computing, have you already enabled that?