Stopped Vehicle Detection - YOLO

Practical system using Python and OpenCV to detect stationary vehicles in a video stream. Leveraging YOLO open source models and object tracking algorithms to identify stationary vehicles by marking them with red bounding boxes while distinguishing moving vehicles with green boxes.

How to run?

1. Clone this repository

git clone [email protected]:CodeRic28/stopped_vehicle_detection.git

2. Change directory into repository

cd stopped_vehicle_detection

3. Install requirements

pip install -r requirements.txt

4. Add videos that you want to detect in the "Videos" directory

5. Use the following command to run the system

python main.py --input Videos/<name-of-the-input-file.extension> --output output/<name-of-the-output-file.mp4>

Make sure you use ".mp4" extension for the output file.

Output

Untitled.design.mp4