A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
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Updated
May 26, 2022 - Python
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
Project to find one of 9 pre-trained emotions on given photo, video or webcam-stream
Apache MXNet Gluon implementation for state of the art FER+ paper for Facial Emotion Recognition - https://arxiv.org/abs/1608.01041
Deep Attentive Center Loss
Lightweight Facial Expression(emotion) Recognition model
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.
Recognising expression/emotion of unique faces in a video
Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the Wild
It's a project of facial emotion recognition.
A Pytorch Implementation of FER( facial expression recognition )
Convolutional Neural Network for Facial Expression Recognition of Basic Emotions in Python using the TensorFlow framework
FER - Facial Expression Recognition
Experience EmoPy's Facial Expression Recognition from the browser
This is a fork of usef-kh/fer. We made an application for emotion recognition.
Facial expression recognition- Edge Computing
Video Analytics in Python using face-emotion-detection, speech-to-text and text-sentiment analysis pre-trained DEEP LEARNING models
Testing the Facial Emotion Recognition (FER) algorithm on animations
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