JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
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Updated
Jan 24, 2024 - TypeScript
JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
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.
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
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)
Winner of Mozilla's $50,000 prize for AI
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
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,
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
Efficient face emotion recognition in photos and videos
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
Reading list for Awesome Sentiment Analysis papers
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.
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