📸 Automatically detects and crops faces from batches of pictures.
YuNetのPythonでのONNX、TensorFlow-Lite推論サンプル
Detecting and anonymizing human faces in images using deep learning models (YuNet) and OpenCV.
A real-time face and object detection with gender classification and virtual glasses overlay.
Pre-release likeness-risk screening for AI short-drama character images. Finds public-figure lookalikes with traceable references; human review required.
Cluster Face sorts images based on the faces in it.
YUNet evaluation on WIDERFace dataset
Real-time Multi-face Tracking in TouchDesigner with OpenCV & YuNet
Open-source face login and walk-away auto-lock for Windows 10/11. Credential Provider + DeepFace (ArcFace) + YuNet + MiniFASNet liveness. Tray-managed, 12-language UI. A self-hosted alternative to Windows Hello / Howdy for Windows.
Yunet is one of the fastest (maybe lightest) face detection in the world with only 75M params but achieve pretty well performance. There are some thing we can improve on top of it and this repo is to do so.
YUNet implementation using PyTorch
GPU-accelerated face detection, cropping, enhancement, and batch export tools in Rust.
My learning on the AI field also working on several Google Colab Notebooks
A premium, glassmorphic Smart Classroom Attendance System built with React, Vite, and Flask. Features real-time AI face recognition (SSD Mobilenet v1 & YuNet), automated timezone-aware logs, multi-tenant RBAC (Admin, Faculty, Student dashboards), database audit logs, and secure JWT authentication.
seedance2.0 face-pass - local small-model CPU eye mask (YuNet/Haar). No cloud LLM. Zero inference cost.
AI-powered Computer Vision backend for SmartPresence utilizing FastAPI, OpenCV (YuNet/SFace), and PostgreSQL for high-speed face recognition and persistent attendance management.
Ultra-fast face matching (OpenCV YuNet + SFace + FAISS).
CPU only face recognition attendance system using OpenCV DNN (YuNet + SFace). Marks classroom attendance from group photos, exports a cumulative CSV matrix, and runs inference on device; no GPU, no PyTorch, no cloud.
Advanced Face Recognition System: A Comparative Analysis
Add a description, image, and links to the yunet topic page so that developers can more easily learn about it.
To associate your repository with the yunet topic, visit your repo's landing page and select "manage topics."