neka-nat / probreg

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

Date Created 2019-01-07 (5 years ago)

Commits 275 (last one 6 months ago)

Stargazers 860 (1 this week)

Watchers 22 (0 this week)

Forks 148

License mit

Ranking

RepositoryStats indexes 579,238 repositories, of these neka-nat/probreg is ranked #58,328 (90th percentile) for total stargazers, and #100,344 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #9,059/115,001.

neka-nat/probreg is also tagged with popular topics, for these it's ranked: 3d (#163/1174), point-cloud (#46/420)

Other Information

neka-nat/probreg has 1 open pull request on Github, 9 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 15 open issues and 94 closed issues.

All Topics

3d open3d filterreg point-cloud registration dual-quaternion coherent-point-drift rigid-transformations variational-inference non-rigid-registration gaussian-mixture-models dual-quaternion-skinning point-cloud-registration expectation-maximization-algorithm

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Recent Commit History

39 commits on the default branch (master) since jan '22

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The primary language is Python but there's also others...

updated: 2024-11-07 @ 09:19am, id: 164439224 / R_kgDOCc0kuA