Deepfakes Software For All
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Updated
Jun 7, 2024 - Python
Deepfakes Software For All
DeepFaceLab is the leading software for creating deepfakes.
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络(GAN,Generative Adversarial Network)图像生成的理论与实践研究。
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
face detection, verification and recognition using Keras
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.
即時人臉辨識(使用OpenCV與FaceNet)
Facial Emotion Recognition using OpenCV and Deepface
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.
recops is a facial analysis framework, an AI forensic toolkit designed specifically for visual investigations and analysis workflows in OSINT research.
Developed an Emotion Recognition module. The facial emotion recognition can be used for human-computer interaction and interface and could emotion surveillance spot people likely to cause trouble and to help identify suspects in crowds.
This application explain how we can easily integrate Deepface framework with Python Django application
Python Real Time Face Detection
A face recognition API
A Streamlit web application for face recognition using a pre-trained YOLO model and the DeepFace library.
A simple Face detection API made with Python, Flask, and Deepface capable of detecting emotion, race, gender, and ethnicity.
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.
A revised DeepFace to have callback function for saving emotion inside program
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