Car Detect is a Python project that utilizes OpenCV and NumPy libraries to detect and count cars in a given video. The project uses background subtraction techniques to identify moving vehicles and counts them as they cross a defined line in the video frame.
- Vehicle Detection: Identifies moving vehicles in the video.
- Counting Vehicles: Counts the number of vehicles passing a specific line.
- Real-time Processing: Processes the video frames in real-time.
To run this project, you need to have Python 3.8+ installed on your system. Install the necessary libraries using pip:
pip install opencv-python numpy- Clone this repository.
- Place your video file (e.g.,
video1.mp4) in the project directory. - Run the script
main.py:
python main.pyThe main components of the code include:
- Video Capture: Capturing the video from the file.
- Background Subtraction: Using MOG (Mixture of Gaussians) for detecting moving objects.
- Contour Detection: Identifying the contours of detected objects.
- Vehicle Counting: Counting the vehicles crossing a defined line.
Contributions are welcome! Please create a pull request or raise an issue to discuss any changes.
If you have any questions or feedback, feel free to contact me at Gmail.