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TrafficEZ

Smart Traffic Solution using Computer Vision for Edge devices.

Author: Isidro Butaslac

Installation

Check if curl is installed:

curl --version

If not, install with:

sudo apt-get install curl

Download the installer:

curl -L -o install.sh $(curl -s https://api.github.com/repos/sid410/TrafficEZ/releases/latest | grep browser_download_url | grep install.sh | cut -d '"' -f 4)

Make it executable then run:

chmod +x ./install.sh
./install.sh

Documentation

https://imb410.github.io/TrafficEZ-Documentation/

Environments guide

  • Require OpenCV 4.9.0 version or above.
  • Code should be built on Ubuntu 22.04.3 LTS x86_64 (headless server to be deployed).
  • Use CMake 3.22.1 or above (latest stable version from apt in the above Ubuntu version).
  • For Linux toolchain, use the following versions or above:
    • GNU Make 4.3
    • gcc, g++ version 11.4.0
    • gdb version 12.1

Useful Supplementary tools

RTSP streamer for debugging:

https://github.com/sid410/RTSP-streamer

Covert YOLO pytorch to ONNX models:

https://github.com/sid410/ConvertYOLO-Pytorch-Onnx

Instance Segmentation using ORT:

https://github.com/sid410/YOLOv8-Instance-Segmentation-CPP