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 2 years ago)

Stargazers 497 (0 this week)

Watchers 20 (0 this week)

Forks 135

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This repository has been archived on Github

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RepositoryStats indexes 601,131 repositories, of these JunweiLiang/Object_Detection_Tracking is ranked #92,444 (85th percentile) for total stargazers, and #111,522 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #15,339/120,802.

JunweiLiang/Object_Detection_Tracking is also tagged with popular topics, for these it's ranked: deep-learning (#2,076/8567), computer-vision (#668/3159), object-detection (#272/1180), tracking (#90/360)

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

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

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updated: 2024-12-29 @ 03:18pm, id: 188732917 / R_kgDOCz_V9Q