anshulpaigwar / Frustum-Pointpillars

Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR

Date Created 2021-10-20 (3 years ago)

Commits 8 (last one 2 years ago)

Stargazers 52 (0 this week)

Watchers 3 (0 this week)

Forks 14

License mit

Ranking

RepositoryStats indexes 595,856 repositories, of these anshulpaigwar/Frustum-Pointpillars is ranked #457,315 (23rd percentile) for total stargazers, and #427,587 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #87,712/119,431.

anshulpaigwar/Frustum-Pointpillars is also tagged with popular topics, for these it's ranked: deep-learning (#6,943/8512), pytorch (#4,899/6025), real-time (#481/579), point-cloud (#345/428), autonomous-driving (#322/405), lidar (#237/301), 3d-object-detection (#94/110)

Other Information

anshulpaigwar/Frustum-Pointpillars has Github issues enabled, there are 11 open issues and 3 closed issues.

All Topics

rgb lidar pytorch frustrum real-time point-cloud pointpillars deep-learning sensor-fusion f-pointpillars frustum-pointnet autonomous-driving 3d-object-detection pedestrian-detection frustrum-pointpillars

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

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updated: 2024-12-14 @ 04:53am, id: 419392288 / R_kgDOGP9rIA