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.
825 stars. No commits in the last 6 months.
Use this if you need to learn and implement machine learning algorithms specifically for computer vision applications using Python.
Not ideal if you are looking for a pre-built, production-ready image processing application without needing to understand the underlying machine learning concepts or coding.
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Jupyter Notebook
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MIT
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Last pushed
Feb 17, 2023
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