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A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm

Project description



PyPI Latest Release License

What is pyRANSAC-3D?

pyRANSAC-3D is an open source implementation of Random sample consensus (RANSAC) method. It fits primitive shapes such as planes, cuboids and cylinder in a point cloud to many aplications: 3D slam, 3D reconstruction, object tracking and many others.


Features:

  • Cylinder
  • Plane
  • Cuboid
  • Line

Installation

Requirements: Numpy

Install with Pypi:

pip3 install pyransac3d

Take a look:

Example 1 - Planar RANSAC
import pyransac3d as pyrsc

points = load_points(.) # Load your point cloud as a numpy array (N, 3)

plane1 = pyrsc.Plane()
best_eq, best_inliers = plane1.fit(points, 0.01)

Results in the plane equation Ax+By+Cz+D: [1, 0.5, 2, 0]

Documentation & other links

License

Apache 2.0

Contributing is awesome!

See CONTRIBUTING

Contact

Developed with :heart: by the internet

Mainteiner: Leonardo Mariga

leomariga@gmail.com

Did you like it? Remember to click on :star2: button.

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