mahimairaja / vechicle-counting-yolo

An algorithm that uses YoloV5 and DeepSORT to count and measure the number of vehicles in a video stream, it detects the vehicles with YoloV5 and tracks them with DeepSORT to maintain a count of unique vehicles in the video. It also calculates the frames per second (FPS) of the video stream.

Date Created 2023-01-29 (about a year ago)

Commits 7 (last one about a year ago)

Stargazers 76 (0 this week)

Watchers 4 (0 this week)

Forks 18

License mit

Ranking

RepositoryStats indexes 584,777 repositories, of these mahimairaja/vechicle-counting-yolo is ranked #349,656 (40th percentile) for total stargazers, and #373,442 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #65,538/116,437.

mahimairaja/vechicle-counting-yolo is also tagged with popular topics, for these it's ranked: computer-vision (#2,051/3084), deep-neural-networks (#454/627), yolov5 (#178/262)

Other Information

mahimairaja/vechicle-counting-yolo has Github issues enabled, there is 1 open issue and 0 closed issues.

There have been 1 release, the latest one was published on 2023-01-29 (about a year ago) with the name Version - 01.

Homepage URL: https://www.linkedin.com/in/mahimairaja/

All Topics

yolov5 deep-sort computer-vision counting-objects deep-neural-networks

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7 commits on the default branch (main) since jan '22

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

updated: 2024-10-23 @ 11:21am, id: 594625477 / R_kgDOI3FDxQ