This facial recognition project is designed to train a model on a set of labeled images and then use the model to recognize and identify faces in real-time through a webcam feed.

The project is organized as follows:

• images/: Contains labeled images for training. Each image should be named after the person in the image (e.g., ElonMusk.png).
• src/: Contains the source code.
  • train_model.py: Script to train the face recognition model.
  • recognize_faces.py: Script for real-time face recognition.
• models/: Stores the trained model file.
• requirements.txt: Lists the Python dependencies.

• Python 3.6 or higher
• A webcam for real-time face recognition

1. Clone the repository to your local machine:

   git clone https://github.com/AnamolZ/FacialRecognition.git
   cd FacialRecognition
   

2. Set up a virtual environment (optional but recommended):

   python -m venv env
   .\env\Scripts\activate  # On Windows
   source env/bin/activate  # On Unix or MacOS
   

. Set up dlib installation:

pip install dlib_file_name.whl
pip install cmake
pip install face_recognition

3. Install the required dependencies:

   pip install -r requirements.txt
   

1. Place your labeled image files in the images/ directory. Ensure each image is named after the person in the image.

2. Run train_model.py to train the model. This will create a model file in the models/ directory:

   python src/train_model.py
   

3. Run recognize_faces.py to start the real-time face recognition:

   python src/recognize_faces.py
   

Contributions to this project are welcome! Please fork the repository, make your changes, and submit a pull request.

Specify your license here. Common choices include MIT, GPL, and Apache 2.0.