Open Source Landmarking Library

A YOLO darknet implementation of facial recognition from automatic annotation of facial images.

These are a set of tools using OpenCV, Tensorflow and Keras, with which you can generate your own model of facial landmark detection and demonstrate the effect of newly-generated model easily.

Facial Landmark Detection with Caffe CNN. Face alignment avaiable.

Projects and exercises for the Udacity Computer Vision Nanodegree

Facial Landmark Detection based on PyTorch

An openface script that runs a REST server. Posted images are compared against a large dataset, and the most likely match is returned. Works with https://hub.docker.com/r/uoacer/openface-mass-compare/

Mediante el uso de un script con OpenCV aprenderemos las caras que nos interesen y con otro script arrancaremos la función de reconocimiento. Control de acceso al laboratorio con reconocimiento facial.

Facial expression recognition.

This code is using FER2013 dataset with keras library and tensorflow backend. This code was fork and modified for keras with tensorflow backend from https://github.com/LamUong/FacialExpressionRecognition

This code is submitted to ICCV Workshop 2017: Fake vs. true facial emotion recognition competition

Deep Region and Multi-label Learning for Facial Action Unit Detection

Code for the report "LittleGAN: Conditional Facial Image Generation and Adjustment"

[FG 2019 Oral] Attribute-Guided Sketch Generation

Maya rigging scripts to be used with Auri

🤦‍♂️ Facial recognition using Ionic 3!

Repository cleanup of https://github.com/Blade6570/icface while I play around with it.

Facial expression recognition using keras model

Smart Glasses for Police Force, a wearable augmented reality glasses with applications in security, medical and industrial field applications such as remote monitoring surgical operations. Our solution is built with state of the art IOT components integrated with Artificial Intelligence. The glasses essentially automate the process of asking for an ID. When the wearer looks at someone, the attached camera apparently takes precise measurements of the person’s face. That measurement is then compared to a database of individuals, each with their own recorded measurements. The tech is reportedly able to determine a match within seconds. For riders, the police want to make sure the person on the train/plane isn’t traveling with someone else’s ID or hopping a train/plane to avoid police. Catching criminals in a real world crowd just with a glance. In the last years, more and more wearable devices are being adapted for law enforcement. Next-generation wearables have the potential to enable police officers to improve situational awareness and decision making during missions. Law enforcement needs real-time information for better situational awareness in the field and at the command center. Officers need access to information, to stream videos and to collaborate in real time.

Facial Expression Recognition in Keras using a CNN.

the source code of the report "LittleGAN: Conditional Facial Image Generation and Adjustment"

This was a datapalooza event hosted by Amazon in the Computing Commons at Arizona State University Tempe Campus. It was a lab for learning how to use AWS DeepLens cameras to capture and recognize facial expressions.

Face Detection using Haar Cascades

Modbus android app with facial recognition

This is a little project to create facial recognition algorithm, below 100 lines of code, to recognize the members of the German Federal Cabinet. I used icrawler and OpenCV. Training data is ok but could be improved with more data.

Facial expression detection with a Raspberry Pi

facialAnalysisDetection2D: Implementación de detector para el análisis de rasgos faciales. Mediante la API de deepFace, análisis para la extracción y predicción del género, edad, etnia y emociones. Recepción de fuente de imagen vía YARP, procesado y envío de detecciones mediante puerto YARP.

AI detecting your live expression/emotion

FER - Facial Expression Recognition