dswede43/calgary_traffic repository overview

Monitoring the City of Calgary traffic counts using an object recognition artificial intelligence model. The backend utilizes API calls from the City of Calgary to retrieve the current traffic camera images from 177 different locations from around the city. The YOLOv5 object recognition AI model then recognizes and counts the number of different vehicles in the image, including cars, trucks, and buses. These results are visualized through a frontend web application GUI created using streamlit.

YOLOv5 is a Convolutional Neural Network (CNN) deep learning model, which runs significantly faster with GPU access. Run this container with a GPU if possible.

Docker run command:

docker run -d --name calgary_traffic -p 5002:5002 --gpus all dswede43/calgary_traffic:latest