How to Install and Uninstall v-hacd-tools.x86_64 Package on CentOS Stream 8

Last metadata expiration check: 3:30:00 ago on Sun Feb 25 03:03:59 2024.
Available Packages
Name : v-hacd-tools
Version : 4.1.0
Release : 2.el8
Architecture : x86_64
Size : 159 k
Source : v-hacd-4.1.0-2.el8.src.rpm
Repository : epel
Summary : Command-line tools based on the V-HACD library
URL : https://github.com/kmammou/v-hacd
License : BSD-3-Clause AND MIT
Description : The V-HACD library decomposes a 3D surface into a set of “near” convex parts.
:
: Why do we need approximate convex decomposition?
:
: Collision detection is essential for realistic physical interactions in video
: games and computer animation. In order to ensure real-time interactivity with
: the player/user, video game and 3D modeling software developers usually
: approximate the 3D models composing the scene (e.g. animated characters, static
: objects…) by a set of simple convex shapes such as ellipsoids, capsules or
: convex-hulls. In practice, these simple shapes provide poor approximations for
: concave surfaces and generate false collision detection.
:
: Convex-hull vs. ACD
:
: A second approach consists in computing an exact convex decomposition of a
: surface S, which consists in partitioning it into a minimal set of convex
: sub-surfaces. Exact convex decomposition algorithms are NP-hard and
: non-practical since they produce a high number of clusters. To overcome these
: limitations, the exact convexity constraint is relaxed and an approximate
: convex decomposition of S is instead computed. Here, the goal is to determine a
: partition of the mesh triangles with a minimal number of clusters, while
: ensuring that each cluster has a concavity lower than a user defined
: threshold.
:
: The v-hacd-tools package contains command-line tools based on the V-HACD
: library. Currently, this means TestVHACD; despite the name, this tool has
: general utility beyond testing.