https://github.com/nathanrooy/rpi-urban-mobility-tracker
The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
https://github.com/nathanrooy/rpi-urban-mobility-tracker
bike-counting car-counting coral-tpu deep-learning deep-sort deep-sort-tracking deepsort edge-computing edge-tpu object-tracking pedestrian-counting pedestrian-safety pedestrians raspberry-pi tensorflow tensorflow-lite urban-design
Last synced: about 1 month ago
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The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
- Host: GitHub
- URL: https://github.com/nathanrooy/rpi-urban-mobility-tracker
- Owner: nathanrooy
- License: gpl-3.0
- Created: 2019-10-23T02:05:01.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-08-04T19:03:45.000Z (10 months ago)
- Last Synced: 2025-04-06T18:10:05.279Z (about 1 month ago)
- Topics: bike-counting, car-counting, coral-tpu, deep-learning, deep-sort, deep-sort-tracking, deepsort, edge-computing, edge-tpu, object-tracking, pedestrian-counting, pedestrian-safety, pedestrians, raspberry-pi, tensorflow, tensorflow-lite, urban-design
- Language: Jupyter Notebook
- Homepage:
- Size: 197 MB
- Stars: 126
- Watchers: 12
- Forks: 37
- Open Issues: 15
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Metadata Files:
- Readme: README.md
- License: LICENSE