Originally a port of Binary Greedy Meshing v2 to Rust, with additional improvements such as support for transparent blocks.
This crate is used in the Bevy voxel game Riverbed, you can check out the code for usage examples.
use binary_greedy_meshing as bgm;
use std::collections::BTreeSet;
fn main() {
// This is a flattened 3D array of u16 in ZXY order, of size 64^3
// (it represents a 62^3-sized chunk that is padded with neighbor information)
let mut voxels = [0; bgm::CS_P3];
// Add 2 voxels at position 0;0;0 and 0;1;0
voxels[bgm::pad_linearize(0, 0, 0)] = 1;
voxels[bgm::pad_linearize(0, 1, 0)] = 1;
// Contain useful buffers that can be cached and cleared
// with mesh_data.clear() to avoid re-allocation
let mut mesh_data = bgm::MeshData::new();
// Does the meshing, mesh_data.quads is the output
// transparent block values are signaled by putting them in the BTreeSet
bgm::mesh(&voxels, &mut mesh_data, BTreeSet::default());
}mesh_data.quads is a [Vec<u64>; 6], 1 Vec per face type, each u64 encoding all the information of a quad in the following manner:
(v_type << 32) | (h << 24) | (w << 18) | (z << 12) | (y << 6) | xThe face groups correspond to Up, Down, Right, Left, Front, Back, in this order. (assuming right handed Y up)
The fastest way of rendering quads is using instancing (check this video to learn more about the topic), but if it's not available you can still convert the quads to vertices and indices making a regular mesh, see this Riverbed files for an example of this:
- src/render/mesh_utils.rs for Face+Quad => vertices conversion
- src/render/mesh_chunks.rs for the rest of the meshing code (+ LOD)
Benching the crate on Intel(R) Xeon(R) CPU E5-1650 v3 @ 3.50GHz:
- meshing (with transparency support): 600μs
This is coherent with the 50-200μs range (without transparency) reported from the original C version of the library, as transparency incurrs a significant cost in the hidden face culling phase.
The meshing is also ~7x faster than block-mesh-rs which took ~4.5ms to greedy mesh a chunk on my machine.
chunk sizes are 62^3 (64^3 with padding), this crate doesn't support other sizes.