一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.

Code for BMVC paper "Joint Action Unit localisation and intensity estimation through heatmap regression"

This is a Python 3 based project to display facial expressions by performing fast & accurate face detection with OpenCV using a pre-trained deep learning face detector model shipped with the library.

A systematic comparison of different machine learning & deep learning classification approaches applied to the problem of fully automatic recognition of Facial Expressions.

This is the code repository of model TDGAN. Paper: Facial Expression Recognition with Two-branch Disentangled Generative Adversarial Network.

3D facial reconstruction, expression recognition and transfer from monocular RGB images with a deep convolutional auto-encoding neural network

Recognising expression/emotion of unique faces in a video

Emotion recognition system based on LBP-TOP.

MER is a software that identifies and highlights manipulative communication in text from human conversations and AI-generated responses. MER benchmarks language models for manipulative expressions, fostering development of transparency and safety in AI. It also supports manipulation victims by detecting manipulative patterns in human communication.

🐾 EmotionCube: An intelligent companion robot is designed based on expression recognition and intelligent speech.

eMotion-GAN

Face gender, expression, and age estimation

CNN (Convolutional neural network)-based facial expression recognition model (with pretrained weights) implemented with Pytorch

ADR is a software that identifies and highlights agreements and disagreements in discussion forum messages as a response to the original post.

Multi-race 7 Expressions Recognition Dataset

Emotion and Facial Key-Point Detection Classify emotions and detect facial key-points using deep learning! This project combines CNNs and Residual Blocks to predict 15 facial key-points and categorize facial expressions into five emotions: Angry, Disgust, Sad, Happy, and Surprise.

500-Drivers-7-Expression-Recognition-Data

Realtime Expression Recognition in Python using SVM

An expression recognition system created in MATLAB.