Emotion Recognition from Facial Images

Last update: Feb 09, 2022

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Overview

Reconhecimento de Emoções a partir de imagens faciais

Este projeto implementa um classificador simples que utiliza técncias de deep learning e transferência de aprendizado para distinguir a emoção do usuário em tempo real a partir de uma imagem fornecida pela câmera do computador.

Contato

Como executar?

Digite em seu terminal na pasta raiz do projeto: python3 main.py [argumento].
O parâmetro argumento pode ser: 'capture', 'train' ou 'analysis'.
Eles executam respectivamente: 
- captura e reconhecimento da imagem via webcam;
- treinamento da rede neural;
- análise dos dados utilizados para o treinamento.

Direitos Autorais:

Este projeto tem objetivo recreativo e nem o conjunto de dados utilizado nem o classificador cascade são de autoria própria.

Todos os direitos ficam reservados aos autores.

Owner

Gabriel

Student at School of Arts, Science and Humanities | University of São Paulo (EACH-USP). I'm software developer intern and data science enthusiastic.

GitHub Repository

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Emotion Recognition from Facial Images

Related tags

Overview

Reconhecimento de Emoções a partir de imagens faciais

Contato

Como executar?

Direitos Autorais:

Owner

Gabriel

Framework for joint representation learning, evaluation through multimodal registration and comparison with image translation based approaches

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Emotion Recognition from Facial Images

Related tags

Overview

Reconhecimento de Emoções a partir de imagens faciais

Contato

Como executar?

Direitos Autorais:

Owner

Gabriel

Framework for joint representation learning, evaluation through multimodal registration and comparison with image translation based approaches

Deep Residual Networks with 1K Layers

Multi Camera Calibration

Generate Cartoon Images using Generative Adversarial Network

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

[ICCV 2021] Deep Hough Voting for Robust Global Registration

[IEEE Transactions on Computational Imaging] Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting

This repo will contain code to reproduce and build upon understanding transfer learning

TCTrack: Temporal Contexts for Aerial Tracking (CVPR2022)

[Preprint] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang

Official implementation of NeurIPS 2021 paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"

This is the implementation of our work Deep Extreme Cut (DEXTR), for object segmentation from extreme points.

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Honours project, on creating a depth estimation map from two stereo images of featureless regions

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Hide screen when boss is approaching.

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