grantUser / iTAH

iTAH: The ultimate head detection, because heads matter!

iTAH

This Python script uses a pre-trained deep learning model to perform real-time head detection using your webcam. The script displays the webcam feed in a window and updates the window title based on whether a head is detected or not.

Prerequisites

• Python 3.x
• OpenCV (pip install opencv-python)
• Keras (pip install keras)

Usage

1. Clone the repository:

   git clone https://github.com/grantUser/iTAH.git
   cd iTAH

2. Install dependencies:

   pip install -r requirements.txt

3. Run the script:

   python main.py

4. Press Esc key to exit the application.

Configuration

• The script uses a pre-trained Keras model (head.h5) for head detection.
• The labels for the classes are stored in a file (labels.txt).

Customization

• You can modify the window size by changing window_width and window_height in the script.
• Adjust the paths to the model and label files if they are not in the same directory.

License

This project is licensed under the MIT License - see the LICENSE file for details.