Real-time Facial Emotion Detection using deep learning
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation
libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.
🔥🔥The pytorch implement of the head pose estimation(yaw,roll,pitch) and emotion detection with SOTA performance in real time.Easy to deploy, easy to use, and high accuracy.Solve all problems of face detection at one time.(极简，极快，高效是我们的宗旨)
ICPR 2020: Facial Expression Recognition using Residual Masking Network
face liveness detection activate, the script asks the person to generate an action, for example one of the actions they may ask you to do is smile, turn your face to the right, get angry, blink, etc. The actions are requested randomly, after fulfilling all the actions it generates a message saying "liveness successful" or "liveness fail"
Official implementation of the paper "Estimation of continuous valence and arousal levels from faces in naturalistic conditions", Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos and Maja Pantic, Nature Machine Intelligence, 2021
PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.
face recognition, detection of facial attributes (age, gender, emotion and race) for python.
Emotion analyzer for Japanese text
This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
Multimodal sentiment analysis using hierarchical fusion with context modeling
Final Project: AI-Based Web Application Development and Deployment from IBM Course (Developing AI Applications with Python and Flask)
Response generation giving specific emotion.
Emotion AI (Sentiment Analysis) of Tweets using TextBlob and Django (Python)
Emotion Detection Using Python
Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
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