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ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!
日本人用にトレーニングを追加した dlib の顔認証モデルと性別判定モデルをリリースしました。/ Taguchi has released dlib facial recognition and gender determination models with additional training for Asia.
The Campus Eye Graduation Project aims to improve security at PSUT campus, by automating the verification of student IDs at entrances and controlling car access with computer vision and image processing techniques. Additionally, it assists lecturers in automating attendance taking process.
Utilize OpenCV & face_recognition library to enable webcam-based face recognition. Encode and compare facial features in real-time for accurate identification. Tutorial covers environment setup, webcam video capture, face detection, encoding, comparison, and live recognition.
A face recognition system capable of registering the face of workers in a company. The project saves the timestamp and workers name based on their resumption time and names in the companies database.
InspireFace is a cross-platform face recognition SDK developed in C/C++, supporting multiple operating systems and various backend types for inference, such as CPU, GPU, and NPU.
Secure face login system using Python (face detection) and React (frontend). Prevents photo/video spoofing with anti-spoofing deep learning models. Open-source code.
Face Recognition Face Liveness Detection Android SDK (Face Detection, Face Landmarks, Face Anti Spoofing, Face Pose, Face Expression, Eye Closeness, Age, Gender and Face Recognition)
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!
This repository contains a Python script for organizing photos into folders based on the people detected in the photos. The script utilizes facial recognition technology to detect individuals in the photos and then organizes them into corresponding folders. This is particularly useful for photographers or anyone managing large collections of photos