A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
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Updated
Jun 25, 2024 - Python
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
😄 Recognizes human faces and their corresponding emotions from a video or webcam feed. Powered by OpenCV and Deep Learning.
A simple implementation of facial recognition using facenets for humans 🧔 🔍
A Tensorflow implementation of Facial Recognition in Python
Facial Recognition Pipeline using Dlib and Tensorflow
CLI and GUI for OSINT. Are you very exhibited on the Internet? Check it! Twitter, Tinder, Facebook, Google, Yandex, BOE. It uses facial recognition to provide more accurate results.
Cat facial detection and landmark recognition in Python
2020/2021 HKUST CSE FYP Masked Facial Recognition, developer: Sam Yuen, Alex Xie, Tony Cheng
Facial Recognition Based Attendance System using Python, Tensorflow, Keras, SqlLite3, Tkinter, OpenCV
This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
Detecting Autism Spectrum Disorder in Children With Computer Vision - Adapting facial recognition models to detect Autism Spectrum Disorder
Steps towards physical adversarial attacks on facial recognition
A python example for using OpenCV to identify faces within @BritishMuseum images.
Live facial recognition example for Raspberry Pi 4 based on OpenCV
An attendance system which uses facial recognition to detect which people are present in any image.
Animal identification using face recognition based methods
Intelligent Facial Recognition with Django Restful IoT on Raspberry Pi
➰ A Facial Recognition tool based on Open-CV.
Connect all CCTV cameras to this system to track someone's live location in a premise using facial recognition. It can be also used to maintain records of people entering a premise using their face instead of bio-metrics/cards/manual Entry
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