opencv-machine-learning and opencv-python-blueprints
About opencv-machine-learning
mbeyeler/opencv-machine-learning
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
This project offers practical guidance for applying machine learning techniques to image processing tasks. It helps you take raw image data and transform it into actionable insights, such as detecting objects or classifying images. Computer vision engineers, researchers, and hobbyists interested in intelligent image processing will find this valuable.
About opencv-python-blueprints
mbeyeler/opencv-python-blueprints
M. Beyeler (2015). OpenCV with Python Blueprints: Design and develop advanced computer vision projects using OpenCV with Python, Packt Publishing Ltd., ISBN 978-178528269-0.
This project provides practical, hands-on examples for developing advanced computer vision applications. It takes raw image or video data as input and produces outputs like manipulated images, tracked objects, or 3D scene reconstructions. It's for computer vision practitioners or engineers who want to build sophisticated vision systems.
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