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Opencv Python Example by Prateek Joshi (25 results)
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OpenCV with Python By Example
Published by Packt Publishing 2015-09, 2015
ISBN 10: 1785283936 ISBN 13: 9781785283932
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OpenCV with Python By Example: Build real-world computer vision applications and develop cool demos using OpenCV for Python
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OpenCV 3.x with Python By Example: Make the most of OpenCV and Python to build applications for object recognition and augmented reality, 2nd Edition
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Add to basketKartoniert / Broschiert. Condition: New. Über den AutorrnrnPrateek Joshi is the founder of Plutoshift and a published author of 9 books on Artificial Intelligence. He has been featured on Forbes 30 Under 30, NBC, Bloomberg, CNBC, TechCrunch, and The Business Journals. He has been .
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Add to basketCondition: New. Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we have more processing power to work with. Using this technology, we can seamlessly.
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OpenCV 3.x with Python By Example: Make the most of OpenCV and Python to build applications for object recognition and augmented reality, 2nd Edition
Published by Packt Publishing - ebooks Accoun, 2018
ISBN 10: 1788396901 ISBN 13: 9781788396905
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OpenCV with Python By Example Build realworld computer vision applications and develop cool demos using OpenCV for Python
Published by Packt Publishing Limited, 2015
ISBN 10: 1785283936 ISBN 13: 9781785283932
Language: English
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OpenCV with Python By Example Build realworld computer vision applications and develop cool demos using OpenCV for Python
Published by Packt Publishing Limited, 2015
ISBN 10: 1785283936 ISBN 13: 9781785283932
Language: English
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OpenCV with Python By Example
Published by Packt Publishing Limited, 2015
ISBN 10: 1785283936 ISBN 13: 9781785283932
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build real-world computer vision applications and develop cool demos using OpenCV for PythonKey FeaturesLearn how to apply complex visual effects to images using geometric transformations and image filtersExtract features from an image and use them to develop advanced applicationsBuild algorithms to understand the image content and recognize objects in an imageBook DescriptionComputer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Web developers can develop complex applications without having to reinvent the wheel.This book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off with applying geometric transformations to images. We then discuss affine and projective transformations and see how we can use them to apply cool geometric effects to photos. We will then cover techniques used for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications.This book will also provide clear examples written in Python to build OpenCV applications. The book starts off with simple beginner's level tasks such as basic processing and handling images, image mapping, and detecting images. It also covers popular OpenCV libraries with the help of examples.The book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementation.What you will learnApply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like imageDetect and track various body parts such as the face, nose, eyes, ears, and mouthStitch multiple images of a scene together to create a panoramic imageMake an object disappear from an imageIdentify different shapes, segment an image, and track an object in a live videoRecognize objects in an image and understand the contentReconstruct a 3D map from imagesBuild an augmented reality application.
