3dgs代码

### 3DGS 相关代码示例与实现 以下是一个基于 Python 的简单代码示例，展示如何从 3D Gaussian Splatting (3DGS) 数据生成点云，并将其转换为网格模型。此代码依赖于 `numpy` 和 `open3d` 库，适用于 Ubuntu 环境下的开发[^1]。 #### 安装依赖 在开始之前，请确保已安装必要的库： ```bash pip install numpy open3d ``` #### 示例代码：3DGS 转点云与网格 ```python import numpy as np import open3d as o3d def generate_point_cloud_from_3dgs(gaussian_means, gaussian_covariances): """ 从高斯分布生成点云。 :param gaussian_means: 高斯分布的均值 (N, 3) :param gaussian_covariances: 高斯分布的协方差矩阵 (N, 3, 3) :return: Open3D PointCloud 对象 """ points = [] for mean, cov in zip(gaussian_means, gaussian_covariances): # 从每个高斯分布中采样点 sampled_points = np.random.multivariate_normal(mean, cov, size=100) points.append(sampled_points) points = np.vstack(points) pcd = o3d.geometry.PointCloud() pcd.points = o3d.utility.Vector3dVector(points) return pcd def point_cloud_to_mesh(pcd, voxel_size=0.05): """ 将点云转换为网格模型。 :param pcd: Open3D PointCloud 对象 :param voxel_size: 体素大小 :return: Open3D TriangleMesh 对象 """ print(":: Voxel downsampling with a voxel size %.3f." % voxel_size) pcd_down = pcd.voxel_down_sample(voxel_size) radius_feature = voxel_size * 5 print(":: Compute FPFH feature with search radius %.3f." % radius_feature) pcd_fpfh = o3d.pipelines.registration.compute_fpfh_feature( pcd_down, o3d.geometry.KDTreeSearchParamHybrid(radius=radius_feature, max_nn=100)) radius_normal = voxel_size * 2 print(":: Estimate normal with search radius %.3f." % radius_normal) pcd_down.estimate_normals( o3d.geometry.KDTreeSearchParamHybrid(radius=radius_normal, max_nn=30)) print(":: Clustering based on FPFH features.") mesh = o3d.geometry.TriangleMesh.create_from_point_cloud_poisson(pcd_down, depth=9)[0] return mesh # 示例数据 gaussian_means = np.array([ [0, 0, 0], [1, 1, 1], [-1, -1, -1] ]) gaussian_covariances = np.array([ [[0.1, 0, 0], [0, 0.1, 0], [0, 0, 0.1]], [[0.1, 0, 0], [0, 0.1, 0], [0, 0, 0.1]], [[0.1, 0, 0], [0, 0.1, 0], [0, 0, 0.1]] ]) # 生成点云 pcd = generate_point_cloud_from_3dgs(gaussian_means, gaussian_covariances) o3d.visualization.draw_geometries([pcd]) # 点云转网格 mesh = point_cloud_to_mesh(pcd) o3d.visualization.draw_geometries([mesh]) ``` #### Web 端高效绘制 3DGS 示例 对于 Web 端的应用场景，可以结合 Three.js 和 Luma.gl 实现高效的 3DGS 绘制[^3]。以下是一个简单的 Three.js 示例： ```javascript // 初始化 Three.js 场景 const scene = new THREE.Scene(); const camera = new THREE.PerspectiveCamera(75, window.innerWidth / window.innerHeight, 0.1, 1000); const renderer = new THREE.WebGLRenderer(); renderer.setSize(window.innerWidth, window.innerHeight); document.body.appendChild(renderer.domElement); // 添加光源 const light = new THREE.AmbientLight(0x404040); // 柔和的环境光 scene.add(light); // 加载 3DGS 数据（假设为点云格式） const geometry = new THREE.BufferGeometry(); const positions = new Float32Array([ -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, 1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1 ]); geometry.setAttribute('position', new THREE.Float32BufferAttribute(positions, 3)); // 创建材质 const material = new THREE.PointsMaterial({ size: 0.05, color: 0x00ff00 }); const points = new THREE.Points(geometry, material); scene.add(points); camera.position.z = 5; function animate() { requestAnimationFrame(animate); points.rotation.x += 0.01; points.rotation.y += 0.01; renderer.render(scene, camera); } animate(); ``` ### 注意事项 - 上述代码仅为示例，实际应用中需要根据具体需求调整参数。 - 在使用 3DGS 技术时，建议参考最新的研究成果以优化性能和效果[^4]。