https://github.com/adamlm/pyransac

A generic random sample consensus (RANSAC) framework.
https://github.com/adamlm/pyransac

random-sample-consensus ransac

Last synced: about 1 year ago
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A generic random sample consensus (RANSAC) framework.

• Host: GitHub
• URL: https://github.com/adamlm/pyransac
• Owner: adamlm
• License: mit
• Created: 2020-04-14T02:29:33.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2022-09-06T00:21:42.000Z (over 3 years ago)
• Last Synced: 2025-03-23T19:05:46.007Z (about 1 year ago)
• Topics: random-sample-consensus, ransac
• Language: Python
• Size: 87.9 KB
• Stars: 3
• Watchers: 1
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# `pyransac` package

This package is a general random sample consensus (RANSAC) framework. For

convenience, some data models (such as a straight line) are already provided.

However, you are free to define your own data models to remove outliers from

arbitrary data sets using arbitrary data models.

# General usage

There are two main components to this package: the RANSAC estimator and a

data model. When calling the estimation function `find_inliers`, you need to

specify the model to which you expect your data to fit.

A data model is class containing the model parameters and an error function 

against which you can test your data. Each data model must implement the

interface defined by the `Model` base class. In other words, you need to

implement the `make_model` and `calc_error` functions.

Additionally, you need to provide parameters for the RANSAC algorithm. These 

parameters are contained in the `RansacParams` class.