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Mastering OpenCV 4 with Python

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  • Handle files and images, and explore various image processing techniques
  • Explore image transformations, including translation, resizing, and cropping
  • Gain insights into building histograms
  • Brush up on contour detection, filtering, and drawing
  • Work with Augmented Reality to build marker-based and markerless applications
  • Work with the main machine learning algorithms in OpenCV
  • Explore the deep learning Python libraries and OpenCV deep learning capabilities
  • Create computer vision and deep learning web applications

OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C++ API and the Python language.

In this book, you'll get started by setting up OpenCV and delving into the key concepts of computer vision. You'll then proceed to study more advanced concepts and discover the full potential of OpenCV. The book will also introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop applications that include facial recognition, target tracking, or augmented reality. Next, you'll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, including real-time data production and faster data processing. You'll also discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. Toward the concluding chapters, you'll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras.

By the end of this book, you'll be able to develop advanced computer vision applications to meet your customers' demands.

  • Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4)and Python
  • Apply machine learning and deep learning techniques with TensorFlow, Keras, and PyTorch
  • Discover the modern design patterns you should avoid when developing efficient computer vision applications
Page Count 532
Course Length 15 hours 57 minutes
Date Of Publication 29 Mar 2019


Alberto Fernandez Villan

Alberto Fernández Villán is a software engineer with more than 12 years of experience in developing innovative solutions. In the last couple of years, he has been working in various project related to monitoring systems for industrial plants applying both IoT and Big Data technologies. He has a PhD in Computer Vision (2017), a Deep Learning Certification (2018) and has several publications in connection with computer vision and machine learning in journals such as Machine Vision and Applications, IEEE Transactions on Industrial Informatics, Sensors, IEEE Transactions on Industry Applications, IEEE Latin America Transactions, and more. Since 2013 he is a registered user ("albertofernandez") on the Q&A OpenCV forum with a dynamic activity.