The Face Detection Project is a Python-based application that uses machine learning techniques to detect faces in images. It utilizes OpenCV and other libraries to accurately identify and highlight facial features in real-time or from static images.
- Real-time Face Detection: Utilizes a webcam to detect faces in real-time.
- Image Processing: Detects faces in static images.
- High Accuracy: Uses pre-trained models for accurate detection.
- Customizable: Adjust detection parameters for different use cases.
- User-Friendly: Easy to set up and use with clear instructions.
To install the necessary dependencies and set up the project, follow these steps:
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Clone the repository:
git clone https://github.com/yourusername/FaceDetection.git cd FaceDetection -
Create a virtual environment:
python -m venv venv source venv/bin/activate # On Windows use `venv\Scripts\activate` and
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Install the required packages:
pip install -r requirements.txt
Follow these instructions to use the Face Detection application:
Open the Jupyter Notebook:
jupyter notebook FaceDetection.ipynb