🎉 VisionFace v1.0.0 - First Release

VisionFace: Modern Face Detection & Recognition Framework
We're excited to announce the first stable release of VisionFace - a comprehensive, production-ready framework for face analysis built with PyTorch.

✨ Core Features

🎯 Face Detection

12+ Detection Models: YOLO (nano/small/medium/large), YOLOWorld, YOLOe, MediaPipe, MTCNN, OpenCV DNN
Flexible Backends: Choose the right model for your speed/accuracy needs
Batch Processing: Efficiently handle thousands of images
Real-time Support: Optimized for live video streams

🔍 Face Recognition

Complete Pipeline: Detection → Embedding → Vector Search
Multiple Embedding Models: FaceNet-VGG, FaceNet-CASIA, Dlib (128D/512D)
Vector Database Integration: Qdrant support for scalable face search
Face Verification: Compare and match faces with confidence scores

🎭 Facial Landmarks

MediaPipe Integration: 468-point 3D face mesh
Dlib Support: Classic 68-point landmarks
Rich Visualization: Landmark connections and annotations

🎨 Visualization Tools

Smart Annotations: Bounding boxes, corner boxes, landmarks
Customizable Styling: Colors, sizes, connection lines
Production Ready: Clean, professional visualizations