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.

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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.

297 stars. No commits in the last 6 months.

Use this if you have foundational knowledge of computer vision concepts and Python, and you want to deepen your expertise by building complex, real-world vision projects like augmented reality or object tracking.

Not ideal if you are completely new to computer vision or Python programming and need to learn the core theoretical concepts from scratch.

computer-vision image-processing augmented-reality object-tracking 3d-reconstruction
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

297

Forks

182

Language

Python

License

GPL-3.0

Last pushed

Oct 03, 2020

Commits (30d)

0

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