maudzung / SFA3D

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

Date Created 2020-08-24 (4 years ago)

Commits 31 (last one about a year ago)

Stargazers 1,008 (0 this week)

Watchers 32 (0 this week)

Forks 273

License mit

Ranking

RepositoryStats indexes 564,918 repositories, of these maudzung/SFA3D is ranked #49,384 (91st percentile) for total stargazers, and #67,595 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #7,643/111,200.

maudzung/SFA3D is also tagged with popular topics, for these it's ranked: ros (#40/716), real-time (#90/542), 3d-object-detection (#9/108)

Other Information

maudzung/SFA3D has 5 open pull requests on Github, 4 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 17 open issues and 62 closed issues.

Homepage URL: https://github.com/maudzung/Super-Fast-Accurate-3D-Object-Detection

All Topics

ros rtm3d bevmap center real-time kitti-dataset fast-detection lidar-point-cloud 3d-object-detection

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

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The only known language in this repository is Python

updated: 2024-09-27 @ 09:21am, id: 289947862 / R_kgDOEUhA1g