Machine Vision Toolbox for Python
- Software
- Perception
- Library
A Python toolbox for computer vision research and teaching, wrapping NumPy, OpenCV and Open3D behind an object-oriented image API with camera models and 3D vision tools.
Source on GitHub: github.com/petercorke/machinevision-toolbox-python (opens in a new tab). Facts read at commit dfaa8f4 (opens in a new tab).
Licenses
- Code
- MIT (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (MIT) at commit dfaa8f4 (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
What it does
- Image class wraps 200+ methods for filtering, edge detection, morphology, colorspace conversion and feature extraction, with operator overloading.
- Supports camera modelling for central, fisheye, catadioptric and spherical geometries, including projection and wireframe plotting.
- Provides blob analysis with hierarchy, label images and graph export, plus Hough transform line detection.
- Offers SIFT feature matching with RANSAC estimation of the fundamental matrix to separate inliers from outliers.
- Wraps Open3D for multiview geometry, camera calibration, stereo vision and bundle adjustment.
- Images are encapsulated NumPy arrays, with BGR-to-RGB and float32 handling done automatically; method chaining is supported.
Written by Robotheca from the project's README (opens in a new tab) at commit dfaa8f4.
Getting started
- Difficulty
- Beginner
- How to start
- The project's README (opens in a new tab)
Maintenance
- Status
- Active: a commit in the last 90 days
- Newest commit
- 14 Oct 2026 on main
- Latest release
- v2.4.1 (13 Oct 2026)
Checked on GitHub on 16 Oct 2026.
Links
Robots that can run it
No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.
Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.