-
Notifications
You must be signed in to change notification settings - Fork 594
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Release: Stride Speedup + Hints #2276
Conversation
Speed up GLTF loading.
fix documentation for repair.stitch
Dear Michael, First of all, thank a lot for putting together and maintaining this great library. In our software stack, we were relying in a number of places on Removing this function suddenly, without deprecation, and with no further explanation why is it "fully broken" caught us by surprise. It gives us extra work to, essentially, implement the conversion ourselves and replace it in every single instance in our code base. While not a critical issue, it creates overhead and erodes our trust in Trimesh being a reliable part of our stack. I am sure we are not the only ones in this situation. I would much appreciate if, in the future, such changes were phased in more slowly and clearly communicated to the end users. Thank you very much in advance. Jakub Sikorski, Scheepsbouwweg 8 - F6, |
Sorry for the hassle. This one is a bit of a special case as I'd recommend pinning "Fully broken" probably depends on the environment, but when I checked it (my original plan was to add a unit test), a user on Python 3.11 who tried to use it would hit 400mb+
|
trimesh.inertia
trimesh.base
replacecaching.cache_decorator
withcache_decorator
.mesh.copy(..., include_visual: bool = True)
option to copy meshes skipping the visual data.mesh.as_open3d
immediately and without deprecation as unfortunately it appears to be untested and fully broken in 2024.mesh.simplify_quadric_decimation
to use pyvista/fast-simplification, which as of testing only requiresnumpy
and hascibuildwheel
set up. I added it to therecommend
pip extra which most people won't get, and if it works out we might move it up toeasy
.Trimesh.simplify_quadratic_decimation
force-reinstall
the[all]
extra since release of BUG: Unpin numpy (regression) imageio/imageio#1098