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vlt Launches "reproduce": A New Tool Challenging the Limits of Package Provenance
vlt's new "reproduce" tool verifies npm packages against their source code, outperforming traditional provenance adoption in the JavaScript ecosystem.
face-recognitioniiti
Advanced tools
A Python-based real-time face recognition system that combines YOLO face detection with ArcFace embeddings for accurate face recognition. The system processes webcam feed in real-time, detecting faces and matching them against a stored database of known faces.
git clone https://github.com/Warlord-K/InterIIT-facerecognition.git
cd InterIIT-facerecognition
pip install -r requirements.txt
python face_recognition_system.py
You can modify the following parameters in the FaceRecognitionSystem
class initialization:
face_system = FaceRecognitionSystem(
database_path="face_database.pkl", # Path to store face embeddings
confidence_threshold=0.5, # Minimum confidence for YOLO detection
similarity_threshold=0.6 # Maximum distance for face recognition match
)
The system consists of three main components:
Face Detection (YOLO)
Face Recognition (ArcFace)
Database Management
Common issues and solutions:
No camera access:
cv2.VideoCapture(0)
Poor recognition accuracy:
similarity_threshold
for stricter/looser matchingSlow performance:
FAQs
A package that contains a Real-time Face Recognition System.
We found that face-recognitioniiti demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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