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 481 (0 this week)

Watchers 19 (0 this week)

Forks 135

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This repository has been archived on Github

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RepositoryStats indexes 564,918 repositories, of these JunweiLiang/Object_Detection_Tracking is ranked #91,382 (84th percentile) for total stargazers, and #115,337 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #14,933/111,200.

JunweiLiang/Object_Detection_Tracking is also tagged with popular topics, for these it's ranked: deep-learning (#2,045/8170), computer-vision (#652/2971), object-detection (#271/1125), tracking (#87/344)

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: 2024-09-25 @ 07:00am, id: 188732917 / R_kgDOCz_V9Q