Smart Traffic Solution using Computer Vision for Edge devices.

Author: Isidro Butaslac

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

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

• 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

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