zouzhenhong98 / SensatUrban-BEV-Seg3D

An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.

Date Created 2021-09-15 (3 years ago)

Commits 7 (last one 2 years ago)

Stargazers 71 (0 this week)

Watchers 6 (0 this week)

Forks 8

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RepositoryStats indexes 565,600 repositories, of these zouzhenhong98/SensatUrban-BEV-Seg3D is ranked #357,212 (37th percentile) for total stargazers, and #293,271 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #66,573/111,362.

zouzhenhong98/SensatUrban-BEV-Seg3D is also tagged with popular topics, for these it's ranked: pytorch (#4,076/5824), semantic-segmentation (#334/498), point-cloud (#281/413), remote-sensing (#187/318)

Other Information

zouzhenhong98/SensatUrban-BEV-Seg3D has Github issues enabled, there are 2 open issues and 5 closed issues.

All Topics

bev pytorch urban3d projection large-scale point-cloud sensaturban urban-scale city-modeling photogrammetry remote-sensing semantic-segmentation

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The only known language in this repository is Python

updated: 2024-09-29 @ 12:38pm, id: 406670584 / R_kgDOGD1M-A