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14 search results found

Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.

Php Opencv Examples ⭐ 421

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

Facetorch ⭐ 313

Python library for analysing faces using PyTorch

Facial Expression Recognition Using Cnn ⭐ 190

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

Cat facial detection and landmark recognition in Python

Dlib Minified Models ⭐ 55

A set of minified (but still accurate) models for Dlib

Fiap Ml Visao Computacional ⭐ 39

Repositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP

Facial Landmark Detection ⭐ 29

Facial Landmark Detection Framework

Eye Blink Detection ⭐ 26

Detect eye blinks based on eye aspect ratio (EAR) introduced by Soukupová and Čech in their 2016 paper, Real-Time Eye Blink Detection Using Facial Landmarks.

Detect Facial Features ⭐ 26

Code example demonstrating how to detect eyes, nose, lips, and jaw with dlib, OpenCV, and Python

Acr Loss ⭐ 13

ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment

Faceaisharp ⭐ 11

State-of-the-art face detection and face recognition for .NET.

Shape Constrained Network ⭐ 11

This repository contains my implementation of a shape-constrained network which predicts up to 170 FPS

Headpose_estimation ⭐ 8

Implementation of the paper in headpose estimation(https://arxiv.org/abs/1812.00739)

Pyfaceproject ⭐ 7

An undergraduate project to evaluate classifiers for facial expression recognition.

Weka Ml Face Recognition ⭐ 7

The Weka ML library for Java is FREE and provides access to various ML algorithms and neural networks. These algorithms can be utilized for a variety of purposes, including facial recognition, which can be done for free unlike APIs like Kairos or Microsoft Azure. Clone this repo, give it a star, and have fun using the facial recognition app!

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