Ivy is an open source video-based vehicle counting system which employs several computer vision techniques to detect, track and count vehicles in a traffic scene.

• Python 3

• Clone this repo [email protected]:nicholaskajoh/ivy.git.
• Create and/or use a virtual environment.
• Run pip install -r requirements.txt to install dependencies.

• Create .env from .env.example in the project root and edit as appropriate.
• Run python -m main.

Download ivy_demo_data.zip and unzip its contents in the data directory. It contains detection models and a sample video of a traffic scene.

python -m pytest

By default, Ivy runs in "debug mode" which provides you a window to monitor the vehicle counting process. You can:

• press the p key to pause/play the counting process
• press the s key to capture a screenshot
• press the q key to quit the program
• click any point on the window to log the coordinates of the pixel in that position

Love this project? You can buy me a coffee or two to support its continued development. 😊