Making point clouds fun again

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

• Examples (We encourage you to try the examples without installation launching Binder.)
• Documentation

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")