Object Detection with OpenCV and YOLOv4

This is a Python project that uses OpenCV and YOLOv4 for object detection. It allows the user to select certain objects to be detected in real-time using the GUI buttons.

Installation

1. Clone this repository to your local machine.
2. Install the required packages by running pip install -r requirements.txt in your command prompt or terminal.
3. Download the pre-trained YOLOv4-tiny model from the YOLO website and save it in the dnn_model folder.
4. Download the YOLOv4-tiny configuration file from the YOLO website and save it in the dnn_model folder.
5. Create a file named classes.txt in the dnn_model folder and write the names of the objects you want to detect in separate lines.

Usage

1. Run the main.py file.
2. Select the objects you want to detect by clicking on the GUI buttons.
3. Press the Esc key to exit the program.

Images

ignore my face lol

Contributing

Contributions are welcome! If you find any issues or have any suggestions, please open an issue or create a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for more details.