/pyntcloud

pyntcloud is a Python library for working with 3D point clouds.

Primary LanguagePythonMIT LicenseMIT

Making point clouds fun again

LGTM Code quality

Github Actions C.I.

Documentation Status

image

Launch Binder

pyntcloud logo

pyntcloud is a Python 3 library for working with 3D point clouds leveraging the power of the Python scientific stack.

Installation

conda install pyntcloud -c conda-forge

Or:

pip install pyntcloud

Quick Overview

You can access most of pyntcloud's functionality from its core class: PyntCloud.

With PyntCloud you can perform complex 3D processing operations with minimum lines of code. For example you can:

  • Load a PLY point cloud from disk.
  • Add 3 new scalar fields by converting RGB to HSV.
  • Build a grid of voxels from the point cloud.
  • Build a new point cloud keeping only the nearest point to each occupied voxel center.
  • Save the new point cloud in numpy's NPZ format.

With the following concise code:

from pyntcloud import PyntCloud

cloud = PyntCloud.from_file("some_file.ply")

cloud.add_scalar_field("hsv")

voxelgrid_id = cloud.add_structure("voxelgrid", n_x=32, n_y=32, n_z=32)

new_cloud = cloud.get_sample("voxelgrid_nearest", voxelgrid_id=voxelgrid_id, as_PyntCloud=True)

new_cloud.to_file("out_file.npz")

Integration with other libraries

pyntcloud offers seamless integration with other 3D processing libraries.

You can create / convert PyntCloud instances from / to many 3D processing libraries using the from_instance / to_instance methods:

import open3d as o3d
from pyntcloud import PyntCloud

# FROM Open3D
original_triangle_mesh = o3d.io.read_triangle_mesh("diamond.ply")
cloud = PyntCloud.from_instance("open3d", original_triangle_mesh)

# TO Open3D
cloud = PyntCloud.from_file("diamond.ply")
converted_triangle_mesh = cloud.to_instance("open3d", mesh=True)  # mesh=True by default
import pyvista as pv
from pyntcloud import PyntCloud

# FROM PyVista
original_point_cloud = pv.read("diamond.ply")
cloud = PyntCloud.from_instance("pyvista", original_point_cloud)

# TO PyVista
cloud = PyntCloud.from_file("diamond.ply")
converted_triangle_mesh = cloud.to_instance("pyvista", mesh=True)