A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"
FERAtt: Facial Expression Recognition with Attention Net
Deep Attentive Center Loss
Lightweight Facial Expression(emotion) Recognition model
Apache MXNet Gluon implementation for state of the art FER+ paper for Facial Emotion Recognition - https://arxiv.org/abs/1608.01041
A Pytorch Implementation of FER( facial expression recognition )
It's a project of facial emotion recognition.
We present our facial expression recognition models for fer-2013 dataset
Recognising expression/emotion of unique faces in a video
This is an reimplement of the work Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition. This code is based on the original author's code with the following changes. Thanks, Kai Wang.
Project to find one of 9 pre-trained emotions on given photo, video or webcam-stream
This projected explored the effect of introducing channel and spatial attention mechanisms, namely SEN-Net, ECA-Net, and CBAM to existing CNN vision-based models such as VGGNet, ResNet, and ResNetV2 to perform the Facial Emotion Recognition task.
Embedded realization of a FER-CNN(face emotion recogniton) based on STM32H7 MCU.
A FER, AFINN and Heart-Monitoring system to intergrate into NLP/LLM, Game Engines, and more, by detecting the player's heart rate and emotional state throught gameplay to create more reactive scenarios and NPCs
Build a Face Emotion Recognition (FER) Algorithm
Framework for neuroevolution of output functions
Experience EmoPy's Facial Expression Recognition from the browser
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