A Python tool for video-based traffic analytiscs
Project description
Project Title
A Python package for video-based traffic analysis.
Description
This tool can generate vehicel trajectories using real-time object detection and multiple object tracking technologies. Based on the trajectory data, the tool can prodcue various safety and operational analytics.
Getting Started
Dependencies
- OS: Ubuntu 20.04 or higher
- Python: 3.7 or higher
- Libarary: pytorch (>=1.12 with cuda), pandas, tqdm, numpy, scipy, matplotlib, ultralytics
Installing
Setup enviroment:
python3.x -m venv dnt (you may replace dnt with you specified name; python version >3.9)
sudo apt-get install python3.x-dev
pip install python-dev-tools
pip install torch==1.12.0+cu116 torchvision==0.13.0+cu116 torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu116
pip install dnt
Executing program
Call APIs from Python codes
Authors
Zhenyu Wang @wonstran@hotmail.com
Version History
- 0.2
- Replace darknet with pytorch
- Adopt YOLO v8 as backend for object detection
- See commit change or See release history
- 0.1
- Initial Release
License
This project is licensed under the MIT License - see the LICENSE file for details
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