fer 开源项目推荐（157 个）

thoughtworksarts /EmoPy

一个通过面部表情识别（FER）进行情绪分析的深度神经网络工具包

usef-kh /fer

论文《面部情感识别：FER2013 上的最先进性能》的代码

pedrodiamel /ferattention

FERAtt：使用注意力网络的面部表情识别

yoshidan /pytorch-facial-expression-recognition

轻量级面部表情（情绪）识别模型

amirhfarzaneh /dacl

深度注意力中心损失

TalkAI /facial-emotion-recognition-gluon

用于面部表情识别的先进 FER+ 论文的 Apache MXNet Gluon 实现 - https://arxiv.org/abs/1608.01041

jhan15 /facial_emotion_recognition

It's a project of facial emotion recognition.

Leonard-Niu /Facial-Expression-Recognition

A Pytorch Implementation of FER( facial expression recognition )

pooya-mohammadi /FER

We present our facial expression recognition models for fer-2013 dataset

kousik97 /Video-Expression-Recognition

Recognising expression/emotion of unique faces in a video

PeiwenSun2000 /Region-Attention-Networks-for-Pose-and-Occlusion-Robust-Facial-Expression-Recognition

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.

extnike /face_emotion_recognition

Project to find one of 9 pre-trained emotions on given photo, video or webcam-stream

AndrzejMiskow /FER-with-Attention-and-Objective-Activation-Functions

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.

sudashannon /EmbeddedFER

Embedded realization of a FER-CNN(face emotion recogniton) based on STM32H7 MCU.

zayennn /face-scanning

🔍 Face Scanning — a Flask application to detect facial expressions: smiling, neutral, and sad. Lightweight, neat, and ready to be used for UX prototypes, emotion testing, or just to check who’s really happy during the pitch. So, it’s not mind reading, but pretty close. 😏

BleeGleeWee /Face-Emotion-Recognition

This project implements a Facial Emotion Recognition System using Convolutional Neural Networks (CNNs) built with Keras and TensorFlow. The model is trained on grayscale face images (48×48) and can detect seven emotions: Angry, Disgust, Fear, Happy, Neutral, Sad, and Surprise.

JohnnieXDU /EmotionUI

Software for Facial Expression Recognition UI

mlazaric /Osnove-programskog-jezika-Java

Introduction to Java Programming Language @ FER, UniZG

fshnkarimi /FaceEmotionRecognition

Build a Face Emotion Recognition (FER) Algorithm

VascoSequeira /drc-algorithms

Data Rate Change Algorithms for an Efficient HF Communication