基于mtcnn/facenet/tensorflow 实现人脸识别登录系统

MTCNN Face Detection & Alignment

Recognize 2000+ faces on your Jetson Nano with database auto-fill and anti-spoofing

Recognize 2000+ faces on your Raspberry Pi 4 with database auto-fill and anti-spoofing

🎬 VideoDeepFakeDetection uses AI to authenticate videos through a multi-step process, identifying potential deepfakes for enhanced content reliability.

A simple toolkit for detecting and cropping main body from pictures. Support face and saliency detection.

Real time face recognition Using Facenet , pytorch, Tensorflow

Face recognition pipeline based on Facenet and MTCNN including image preprocessing (denoise, dehazing,...) with image augmentation techniques

An MTCNN based face detection and an optical-flow based tracking running in two threads.

This is a simple face detection api that takes as input, an image and gives as output, detected faces on the image. This API can be used as an alternative to the paid face detection APIs currently available as it gives quite good accuracy levels.

A python script label faces in group photos using Facenet. :tada:

SmartCar - Real-time SmartCar System (Driver/Passenger) which included Face ID Recognition and Head Pose Estimation

Real-time face mask detection.

Keras implementation of C3D model on Extended Cohn-Kanade Dataset (CK+).

Face detection and replace stikers with face, eye and lip - Face align with eyes

Face Recognition and Classification Using FaceNet and MTCNN

Face recognition using mtcnn build on dl4j

train mtcnn from scratch.

A deep learning based application which is entitled to help the visually impaired people. The application automatically generates the textual description of what's happening in front of the camera and conveys it to person through audio. It is capable of recognising faces and tell user whether a known person is standing in front of him or not.

영상처리AI를 활용한 외적 군기 디텍팅 솔루션

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This is a simple example for face verification using facenet implemented by davidsandberg

Recognition of Iranian human facial emotions across four categories: Happy, Sad, Angry, and Neutral.

This is a modern Face Authentication System which includes state-of-art algorithms to detect face and generate face embedding. This system contains endpoints which can be integrated to any device depending on the requirements.

Live Facial Recognition

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.

Detecção de Máscara em Python Usando OpenCV e Deep Learning.

An AI-powered proctoring tool for secure online exams. Uses YOLOv5 for object detection, MTCNN for face detection, YAMNet for audio detection, and PyQt5 for the UI. Enforces fullscreen mode, disables shortcuts, and provides real-time monitoring with violation tracking. Scalable and resource-efficient.

A face recognition based attendance system for college

face detection using mtcnn complete implementation step by step