Face-Recognition

Face Recognition model With OpenCV Python

A Face Recognition model built using OpenCV and Python. This project allows you to train the machine to recognize your face by providing it with multiple images of yourself.

Getting Started

Follow these steps to get started with the Face Recognition model:

1. Gather your photographs: Collect at least 5-6 photographs of yourself. The more photographs you provide, the higher the accuracy of the model.

2. Organize your photographs: Place your photographs in the Test_Image folder. Create a subfolder with your name and put your images there.

3. Train the model: Run the face_train.py file. This will create a trainer.yml file that holds the training data.

4. Recognize yourself: Run the face_recognition.py file. This will open a camera window and attempt to recognize your face in real-time.

Note

• Download Required Libraries: Ensure you have the required libraries downloaded before running the scripts.

• Image Format: If your images are not in the JPG format, you need to modify the face_train.py script. Open the script and locate line 22. Change the line to match your image format:

  if file.endswith('your_img_format'):

Prerequisites

1. Python
2. OpenCV library
3. Additional libraries or packages specific to your project

Installation

1. Clone this repository: git clone https://github.com/alex8430/face-recognition.git
2. Navigate to the project directory: cd face-recognition
3. Install required packages: pip install -r requirements.txt

Usage

1. Prepare your photographs as described above.
2. Train the model using face_train.py.
3. Run the model with real-time face recognition using face_recognition.py.

Contact

For questions or suggestions, feel free to reach out to me at pankajvermacr7@gmail.com or through LinkedIn.