Learning OpenCV 4 Computer Vision with Python 3 : get to grips with tools, techniques, and algorithms for computer vision and machine learning

Learning OpenCV 4 Computer Vision with Python 3 get to grips with tools, techniques, and algorithms for computer vision and machine learning

Updated for OpenCV 4 and Python 3, this book covers the latest on depth cameras, 3D tracking, augmented reality, and deep neural networks, helping you solve real-world computer vision problems with practical code. Key Features: Build powerful computer vision applications in concise code with OpenCV...

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Detalles Bibliográficos
Autor principal: Howse, Joseph, 1984- (-)
Otros Autores: Minichino, Joe
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham : Packt [2020]
Edición:Third edition
Materias:
Python (Computer program language)
OpenCV (Computer program language)
Computer vision.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631624706719
Tabla de Contenidos:
  • Chapter 1: Setting Up OpenCV
  • Chapter 2: Handling Files, Cameras, and GUIs
  • Chapter 3: Processing Images with OpenCV
  • Chapter 4: Depth Estimation and Segmentation
  • Chapter 5: Detecting and Recognizing Faces
  • Chapter 6: Retrieving Images and Searching Using Image Descriptors
  • Chapter 7: Building Custom Object Detectors
  • Chapter 8: Tracking Objects
  • Chapter 9: Camera Models and Augmented Reality
  • Chapter 10: Neural Networks with OpenCV
  • Appendix 1: Bending Color Space with a Curves Filter
  • Other Books You May Enjoy
  • Index.

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