April 2025
Intermediate to advanced
416 pages
8h 32m
Portuguese (Portugal, Brazil)
Content preview from Livro de receitas de aprendizagem automática com Python, 2ª edição
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Capítulo 8. Manuseamento de imagens
Este trabalho foi traduzido com recurso a IA. Agradecemos o teu feedback e comentários: translation-feedback@oreilly.com
8.0 Introdução
Imagem A classificação é uma das áreas mais interessantes da aprendizagem automática. A capacidade dos computadores para reconhecer padrões e objectos a partir de imagens é uma ferramenta incrivelmente poderosa no nosso conjunto de ferramentas. No entanto, antes de podermos aplicar a aprendizagem automática às imagens, é frequentemente necessário transformar as imagens em bruto em caraterísticas utilizáveis pelos nossos algoritmos de aprendizagem. Tal como acontece com os dados textuais, existem também muitos classificadores pré-treinados disponíveis para imagens que podemos utilizar para extrair caraterísticas ou objectos de interesse para utilizar como entradas nos nossos próprios modelos.
Para trabalhar com imagens, usaremos principalmente a Open Source Computer Vision Library (OpenCV). Embora existam várias bibliotecas boas, a OpenCV é a biblioteca mais popular e bem documentada para lidar com imagens. Ocasionalmente, pode ser difícil de instalar, mas se tiveres problemas, existem muitos guias online. Este livro em particular foi escrito com opencv-python-headless==4.7.0.68. Podes também correr estes capítulos com o ML in Python Cookbook Runner para garantir que todos os comandos são reproduzíveis.
Ao longo deste capítulo, usaremos como exemplos um conjunto de imagens, que está disponível para download no ...
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