Deepfakes Software For All
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Updated
Aug 17, 2024 - Python
Deepfakes Software For All
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Keras implementation of the renowned publication "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Taigman et al. Pre-trained weights on VGGFace2 dataset.
face detection, verification and recognition using Keras
Facial Emotion Recognition using OpenCV and Deepface
即時人臉辨識(使用OpenCV與FaceNet)
This project is a comprehensive face recognition-based attendance system for universities. It leverages OpenCV for face detection and recognition, Firebase for data storage, and Flask for the web interface. The system allows for student registration, face capture, and attendance tracking, providing a modern solution for attendance management.
A Streamlit web application for face recognition using a pre-trained YOLO model and the DeepFace library.
Python Real Time Face Detection application, using opencv, deepface
This is a lightweight, easy to use GUI Toolbox for DeepFace, a face recognition framework that could analyze age, gender, emotion, race, and verify whether two faces are similar.
recops is a facial analysis framework, an AI forensic toolkit designed specifically for visual investigations and analysis workflows in OSINT research.
This project implements real-time facial emotion detection using the deepface library and OpenCV. It captures video from the webcam, detects faces, and predicts the emotions associated with each face. The emotion labels are displayed on the frames in real-time.
A multimodal face liveness detection module that can be used in the context of face anti-spoofing
This application explain how we can easily integrate Deepface framework with Python Django application
FacePlatform enhances home security by capturing, tagging, and notifying you of faces detected by your home cameras in real-time.
A lot of ai-generated faces, categorized by gender and age, along with the code to generate them.
Automated Attendance Management System that is used to take, and track attendance of students, with many other functionality, built with Python, QT5 and SQLite.
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