Point cloud processing tool library.

Related tags

Deep Learningvisualizationvoxelmesh-processingpointcloudprocessing
Overview

Point Cloud ToolBox

This point cloud processing tool library can be used to process point clouds, 3d meshes, and voxels.

Environment

python 3.7.5

Dependent packages:
- openmesh==1.1.6
- open3d==0.13.0
- plyfile==0.7.4
- numpy==1.21.0
- vtk==8.2.0
- python-pcl==0.3.0rc1

How to install the environment:
# pip install requirements.txt

Todo

Point Cloud

  • format conversion (pointcloud->pointcloud)
    • pcd -> xyz | pts | txt | csv | ply
    • las -> pcd | xyz | pts | ply | txt | csv
    • ply -> pcd | xyz | pts | txt | csv
    • xyz -> pcd | pts | ply | txt | csv
    • pts -> pcd | xyz | ply | txt | csv
    • txt -> pcd | ply | xyz | pts
  • Calculate the surface area and volume of 3D Mesh
  • Point cloud voxelization
  • downsampling
    • farthest point sampling(FPS)
    • random sampling
    • uniform sampling
    • voxel sampling
  • upsampling
  • filtering
    • PassThrough Filter
    • VoxelGrid Filter
    • project_inliers Filter
    • remove_outliers Filter
    • statistical_removal Filter
  • registration
  • 3D reconstruction
  • visualization

3d Mesh

  • format conversion (mesh->mesh)
    • ply -> obj | stl | off
    • obj -> ply | off | stl
    • off -> ply | obj | stl
  • down sampling into point cloud
    • poisson disk sampling
    • uniform sampling
  • mesh filtering
    • Taubin filter
    • Laplacian smooth
    • simple neighbour average
  • mesh voxelization
  • mesh subdivision
  • 3d mesh visualization

voxel

  • visualization

Use

You can find command in run.sh.

To be continued...

Owner
ZhangXinyun
ZhangXinyun
GitHub Repository
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