One-shot Learning and deep face recognition notebooks and workshop materials
-
Updated
Apr 10, 2021 - Jupyter Notebook
One-shot Learning and deep face recognition notebooks and workshop materials
ArcFace unofficial Implemented in Tensorflow 2.0+ (ResNet50, MobileNetV2). "ArcFace: Additive Angular Margin Loss for Deep Face Recognition" Published in CVPR 2019. With Colab.
Facial Emotion Recognition using OpenCV and Deepface
This repository contains code for my paper "Git Loss for Deep Face Recognition".
Deep Face Recognition in PyTorch
Unofficial implementation of paper 'Face X-ray for More General Face Forgery Detection'. (updating...)
Face Recognition Project on Pytorch
In this repository, we implement and review state of the art papers in the field of face recognition and face detection, and perform operations such as face verification and face identification with Deep models like Arcface, MTCNN, Facenet and so on.
Deepface: a python package for emotion detection, gender, age, and race identification. It can also detect human faces using different popular computer vision techniques
Real time face detection and recognition integrating with CCTV
A face detection pro. based on Deepface and opencv python
✭ MAGNETRON ™ ✭: Github of the FaceForensics dataset. Detect DeepFakes. It's important for robots to not be tricked by digital media.
Raspberry PI face-detection IOT cluster and central management system
A react native app for a deep fake detection model which connects with an api.
This project, created for a school class in Interaction and Information Design, evaluates face verification algorithms on images with obscured faces. It uses a Python script leveraging the DeepFace library for facial verification and the Dazzling library for image obscuring, with performance results written to a CSV file. The dataset used is CelebA
KYC verified crowdfunding solution. Our project won one of the best projects built using 5ireChain at MLH organized Hack This Fall 3.0.
A fully automated, end to end deep learning based pipeline to detect Deep Fake videos.
Add a description, image, and links to the deep-face-recognition topic page so that developers can more easily learn about it.
To associate your repository with the deep-face-recognition topic, visit your repo's landing page and select "manage topics."