nathanrooy / rpi-urban-mobility-tracker

The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

Date Created 2019-10-23 (5 years ago)

Commits 104 (last one 3 years ago)

Stargazers 121 (0 this week)

Watchers 12 (0 this week)

Forks 37

License gpl-3.0

Ranking

RepositoryStats indexes 584,777 repositories, of these nathanrooy/rpi-urban-mobility-tracker is ranked #255,292 (56th percentile) for total stargazers, and #177,637 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #6,122/17,124.

nathanrooy/rpi-urban-mobility-tracker is also tagged with popular topics, for these it's ranked: deep-learning (#4,580/8398), tensorflow (#1,360/2242), raspberry-pi (#674/1221), edge-computing (#72/139), object-tracking (#54/111)

Other Information

nathanrooy/rpi-urban-mobility-tracker has 6 open pull requests on Github, 6 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 9 open issues and 12 closed issues.

There have been 1 release, the latest one was published on 2021-04-10 (3 years ago) with the name v0.0.2.

All Topics

deepsort edge-tpu coral-tpu deep-sort tensorflow pedestrians car-counting raspberry-pi urban-design bike-counting deep-learning edge-computing object-tracking tensorflow-lite pedestrian-safety deep-sort-tracking pedestrian-counting

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Github watchers over time, collection started in '23

Recent Commit History

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

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Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-06 @ 06:58pm, id: 216947199 / R_kgDODO5Z_w