Identify faces from video and images using OpenCV and Deep Learning
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Updated
Feb 18, 2024 - Python
Identify faces from video and images using OpenCV and Deep Learning
A simple face recognition model using pretrained FaceNet model.
High-accuracy Face Recognition using ArcFace & InsightFace
Implementing one-shot learning using FaceNet
A light-weight facial attribute recognition and face embedding calculation library.
Face Detection with OpenCV and Machine Learning
Face Recognition using the face_recognition API
Robust video-based classroom attendance using ArcFace multi-embeddings, FAISS similarity search, and multi-frame voting for reliable face recognition.
Face Recognition Using Different Model
A face-recognition system that embeds faces and stores known identities in a ChromaDB vector database, then recognizes new images by nearest-neighbor similarity search. Python / Jupyter.
Real-time face recognition framework in C++/Qt/QML with ONNX Runtime, OpenCV and CUDA, supporting detection, alignment, embeddings and 1:N matching.
privacy-aware raspberry pi edge vision toolkit with local face embeddings, faiss search, optional vlm reasoning, and dry-run telemetry.
An embedding-based face search system exploring LangChain concepts, face embeddings, vector similarity, and semantic search for image-based face matching.
ArcFace face alignment and embeddings on AMD Strix Halo. Built with Rust, HRX and Loom.
Facial recognition for people with memory loss to identify close friends and relevant information about the person. Built using opencv-python using face embedding calculations to identify people with 90% accuracy rate
AI-powered attendance system with face recognition, voice biometrics, QR enrollment, and automated attendance tracking.
Facial Recognition by detecting faces and extracting their embeddings and classifying them into different labels.
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