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Stars gained: From Apr 26, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 4, 2026, each from zero0510Apr 26Nov 4, 2026maudzung/SFA3Dvita-epfl/monoloco
Stars: The star count at the end of each dayStarsThe star count at the end of each day5001KApr 26Nov 4, 2026maudzung/SFA3Dvita-epfl/monoloco

Facts

Factmaudzung/SFA3D

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

vita-epfl/monoloco

A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.

Stars1,131462
Net stars, last 30 days+1+1
Largest star day+2 on Jun 8, 2026+1 on May 5, 2026
Milestone reached in the recordNoneNone
Forks27885
LanguagePythonPython
LicenseMITOther license
CreatedAug 24, 2020May 13, 2019
Last pushSep 17, 2023May 24, 2022
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases0 of 3 checks (2 without data)0 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeksNo dataNo data
Weeks with commits, last 52No dataNo data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: 3d-object-detection, kitti-dataset. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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