ThreeCrate GPU

GPU-accelerated algorithms for 3D point cloud processing using WGPU.

Features

• GPU Computing: Hardware-accelerated point cloud processing
• Real-time Rendering: Point cloud and mesh visualization
• Parallel Algorithms: Massively parallel GPU implementations
• Cross-platform: Works on Windows, macOS, and Linux
• Modern Graphics: Uses WGPU for cross-platform GPU access

Algorithms

• Point Cloud Rendering: Real-time visualization with splatting
• Normal Estimation: GPU-accelerated surface normal computation
• Filtering: Parallel outlier removal and downsampling
• ICP Registration: GPU-accelerated point cloud alignment
• TSDF Integration: Truncated Signed Distance Function processing

Usage

Add this to your Cargo.toml:

[dependencies]
threecrate-gpu = "0.1.0"
threecrate-core = { version = "0.1.0", features = ["gpu"] }

Example

use threecrate_gpu::{GpuContext, PointCloudRenderer, RenderConfig};
use threecrate_core::{PointCloud, Point3f};

// Initialize GPU context
let gpu_context = GpuContext::new().await?;

// Create point cloud renderer
let config = RenderConfig::default();
let renderer = PointCloudRenderer::new(&window, config).await?;

// Render point cloud
let cloud = PointCloud::from_points(vec![/* points */]);
let vertices = point_cloud_to_vertices(&cloud, [1.0, 1.0, 1.0], 4.0);
renderer.render(&vertices)?;

GPU Requirements

• Vulkan: Preferred backend for best performance
• Metal: macOS support via Metal API
• DirectX 12: Windows support via DX12
• OpenGL: Fallback support for older systems

License

This project is licensed under either of

• Apache License, Version 2.0, (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
• MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)

at your option.