# 3D-Code-Examples

**Repository Path**: python_examples/3d-code-examples

## Basic Information

- **Project Name**: 3D-Code-Examples
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-08-14
- **Last Updated**: 2024-08-14

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# computer_graphics_examples

日常使用的与计算机图形相关的示例程序开发与收集。

这个例子存在许多不完善的东西，只能参考代码，README文件的内容与代码不匹配。

## Install

```bash
conda create -n 3d-code-examples python=3.8
conda activate 3d-code-examples
conda install vedo
# 安装 vedo 后，可以不再安装 numpy 与 vtk
conda install numpy=1.19    # numpy>=1.20 后，vtk 使用 numpy.bool 会报错
conda install vtk=9.0.3 -c conda-forge

conda install trimesh pyglet shapely -c conda-forge
conda install scikit-learn, scikit-image -c anaconda
conda install pytransform3d -c conda-forge
conda install plyfile -c conda-forge
# conda install open3d -c open3d-admin  # 版本太旧了
conda install pyopengl -c conda-forge
conda install point_cloud_utils -c conda-forge
conda install pre-commit

#pip install pymeshlab -i https://pypi.org/simple
pip install pymeshlab
pip install polyscope

# 旧版本中以下安装失败，建议使用 pip 安装
# conda install opencv3 -c menpo
```

注：如果安装后程序运行时报错，建议使用 pip 安装，如下：

```bash
pip install vtk open3d
pip install opencv-python PyOpenGL PyOpenGL_accelerate
pip install point-cloud-utils
```

Windows 下 opencv, opengl, pyopengl_accelerate 的安装存在问题，
建议[下载安装包](https://www.lfd.uci.edu/~gohlke/pythonlibs/)。

## Examples

List of examples

- Loading meshes and point clouds
- Saving meshes and point clouds
- Generating blue-noise samples on a mesh with Poisson-disk sampling
- Generate random samples on a mesh
- Downsample a point cloud to have a blue noise distribution
- Downsample a point cloud on a voxel grid
- Estimating normals from a point cloud
- Computing mesh normals per vertex
- Computing mesh normals per face
- Consistently orienting faces of a mesh
- Approximate Wasserstein (Sinkhorn) distance between two point clouds
- Chamfer distance between two point clouds
- Hausdorff distance between two point clouds
- K-nearest-neighbors between two point clouds
- Generating point samples in the square and cube with Lloyd relaxation
- Compute shortest signed distances to a triangle mesh with fast winding numbers
- Compute closest points on a mesh
- Deduplicating point clouds and meshes
- Removing unreferenced mesh vertices
- Calculating face areas of a mesh
- Smoothing a mesh
- Computing connected components
- Decimating a triangle mesh
- Making a mesh watertight
- Ray/Mesh intersection
- Ray/Surfel intersection
- Computing curvature on a mesh
- Computing a consistent inside/outside for a triangle soup
- Voxelizing a triangle mesh
- Flood filling a dense grid
- Generating a mesh for a voxel grid