This application utilizes OpenCV and a YOLOv5 pre-trained model from Roboflow or the local pre-trained model to detect playing cards in images or video streams. It requires Python 3.10 and several dependencies listed below.
- Python 3.10
- opencv-python
- pyqt6
- numpy
- inference_sdk (optional)
- configparser
- pywin32 (optional)
- torch
- torchvision
- yolov5
- Install Python 3.10 from Python's official website.
- Install the required packages using pip:
pip install pyqt6 numpy inference_sdk configparser pywin32 torch torchvision yolov5 opencv-python- Clone or download the repository to your local machine.
- Navigate to the directory containing the CardDetectorProgram.py file.
- Run the Python script using the following command:
python CardDetectorProgram.py- The application will launch, allowing you to either upload an image/video or use your webcam for real-time detection.
- Once the detection is complete, the detected playing cards will be highlighted or labeled on the screen.
- For optimal performance, use a machine with a GPU and retrain the model with this dataset.
- If you encounter any issues, refer to the documentation of the individual packages or contact the developers for support.