This is a Face Recognition project that uses [insert technology/library/tool] to detect and recognize faces in images. The system is designed to perform accurate and efficient face recognition for various applications.
- Face Detection: Utilizes [insert face detection library/tool] to locate faces in images.
- Face Recognition: Implements [insert face recognition library/tool] for recognizing faces based on pre-trained models or user-defined datasets.
- User Authentication: Integrates face recognition for secure user authentication.
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Clone the repository:
git clone https://github.com/your-username/face-recognition.git cd face-recognition -
Install dependencies:
pip install -r requirements.txt
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[Additional steps if any, such as downloading pre-trained models or datasets.]
- [Provide examples and code snippets on how to use your project.]
- [Include information on how to train new models if applicable.]
- [Specify any configurations or settings that users might need to modify.]
# Example code snippet demonstrating how to use the face recognition module
import face_recognition
# Load an image with faces
image = face_recognition.load_image_file("path/to/image.jpg")
# Find all face locations in the image
face_locations = face_recognition.face_locations(image)
# Recognize faces
face_encodings = face_recognition.face_encodings(image, face_locations)
# [Do something with the recognized faces]