A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
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Updated
Nov 13, 2024 - Python
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
DELTA is a deep learning based natural language and speech processing platform.
This repo contains implementation of different architectures for emotion recognition in conversations.
Real-time Facial Emotion Detection using deep learning
Real time emotion recognition
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
Emotion recognition using DNN with tensorflow
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)
Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild
Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
ICPR 2020: Facial Expression Recognition using Residual Masking Network
😄 Recognizes human faces and their corresponding emotions from a video or webcam feed. Powered by OpenCV and Deep Learning.
PyTorch Implementation for Paper "Emotionally Enhanced Talking Face Generation" (ICCVW'23 and ACM-MMW'23)
Speaker independent emotion recognition
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
Bidirectional LSTM network for speech emotion recognition.
A Survey and Experiments on Annotated Corpora for Emotion Classification in Text
CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI | 中文个性情感对话数据集
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