yudhisteer / Point-Clouds-3D-Perception-with-Open3D

Using the KITTI dataset, we employed Open3D to visualize, downsample, segment with RANSAC, cluster via DBSCAN, create 3D bounding boxes, and perform surface reconstruction on point clouds.

Date Created 2023-06-22 (about a year ago)
Commits 94 (last one about a year ago)
Stargazers 54 (0 this week)
Watchers 2 (0 this week)
Forks 9
License unknown
Ranking

RepositoryStats indexes 617,578 repositories, of these yudhisteer/Point-Clouds-3D-Perception-with-Open3D is ranked #458,285 (26th percentile) for total stargazers, and #493,904 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #88,586/124,995.

yudhisteer/Point-Clouds-3D-Perception-with-Open3D is also tagged with popular topics, for these it's ranked: point-cloud (#345/438),  3d-reconstruction (#349/417),  lidar (#240/313),  autonomous-vehicles (#150/189),  drone (#131/165)

Other Information

yudhisteer/Point-Clouds-3D-Perception-with-Open3D has Github issues enabled, there is 1 open issue and 0 closed issues.

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Recent Commit History

94 commits on the default branch (main) since jan '22

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Languages

The only known language in this repository is Python

PythonPython

updated: 2025-02-17 @ 01:12pm, id: 657233488 / R_kgDOJyyWUA