JunweiLiang / Object_Detection_Tracking

Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

Date Created 2019-05-26 (5 years ago)

Commits 135 (last one about a year ago)

Stargazers 491 (0 this week)

Watchers 19 (0 this week)

Forks 135

License mit

This repository has been archived on Github

Ranking

RepositoryStats indexes 589,134 repositories, of these JunweiLiang/Object_Detection_Tracking is ranked #92,263 (84th percentile) for total stargazers, and #116,594 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #15,230/117,584.

JunweiLiang/Object_Detection_Tracking is also tagged with popular topics, for these it's ranked: deep-learning (#2,072/8438), computer-vision (#664/3101), object-detection (#273/1165), tracking (#90/355)

Other Information

JunweiLiang/Object_Detection_Tracking has Github issues enabled, there are 4 open issues and 44 closed issues.

All Topics

reid maskrcnn tracking efficientdet multi-camera deep-learning computer-vision object-detection activity-detection detection-tracking tracking-detection surveillance-videos multi-camera-tracking video-object-tracking video-object-detection multi-camera-vehicle-reid

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

The primary language is Python but there's also others...

updated: 2024-11-27 @ 01:16pm, id: 188732917 / R_kgDOCz_V9Q