Script utilizando OpenCV e modelo Machine Learning para detectar o uso de máscaras.

Overview

Reconhecendo máscaras

Este repositório contém um script em Python3 que reconhece se um rosto está ou não portando uma máscara!

O código utiliza da biblioteca OpenCV para o processamento das imagens e scikit-learn para o treinamento do modelo que classifica um rosto que porta ou não uma máscara.

O conjunto de imagens utilizadas para o treinamento do modelo pode ser encontrada na pasta imagens e foi retirado desse link.

Mais sobre o código

Em open_cam.py temos um script que viabiliza que a webcam do seu computador seja iniciada.

Nesse script carregamos um dataframe partindo do conjunto de imagens que temos e treinamos um modelo K-Nearest Neighbor para classificar os rostos.

Para o reconhecimento genérico das faces, utiliza-se o CascadeClassifier, já incluso dentro da biblioteca do OpenCV. De modo geral, esse método de treinamento utiliza de um arquivo .xml, que também já é incluso no pacote, para treinar um modelo que reconheça rostos de forma genérica, utilizando o método Viola-Jones e AdaBoost para o melhoramento do desempenho.

O algoritmo de Machine Learning escolhido para classificação foi o K-Nearest Neighbor, pois foi o que apresentou melhor desempenho diante o conjunto de teste e de validação. A ideia é que, em um próximo experimento, esse mesmo código possa ser refeito utilizando uma CNN!

Alguns links

Aqui vou deixar uns links de referência com o que pesquisei sobre o assunto para desenvolver o código!

Owner
Maria Eduarda de Azevedo Silva
Aluna do curso de Ciência da Computação da Universidade Federal de Campina Grande (UFCG)
Maria Eduarda de Azevedo Silva
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