Real-time Facial Emotion Detection using deep learning
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Updated
May 9, 2024 - Python
Real-time Facial Emotion Detection using deep learning
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation
🔥🔥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)
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
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.
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
face recognition, detection of facial attributes (age, gender, emotion and race) for python.
PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.
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.
Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
Response generation giving specific emotion.
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.
[ICASSP 2023] FedAudio: A Federated Learning Benchmark for Audio and Speech Tasks
Multimodal sentiment analysis using hierarchical fusion with context modeling
Emotion detection in audio utilising self-supervised representations trained with Contrastive Predictive Coding (CPC).
Emotionally responsive Virtual Metahuman CV with Real-Time User Facial Emotion Detection (Unreal Engine 5).
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