Computer Vision Projects with OpenCV and Python 3: Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
- Autor
- Kustantaja
- Keel
- inglise
- Formaat
- Kategooria
Teadmiskirjandus
Gain a working knowledge of advanced machine learning and explore Python's powerful tools for extracting data from images and videos
Key Features
• Implement image classification and object detection using machine learning and deep learning
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• Perform image classification, object detection, image segmentation, and other Computer Vision tasks
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• Crisp content with a practical approach to solving real-world problems in Computer Vision
Book Description
Python is the ideal programming language for rapidly prototyping and developing production-grade codes for image processing and Computer Vision with its robust syntax and wealth of powerful libraries. This book will help you design and develop production-grade Computer Vision projects tackling real-world problems.
With the help of this book, you will learn how to set up Anaconda and Python for the major OSes with cutting-edge third-party libraries for Computer Vision. You'll learn state-of-the-art techniques for classifying images, finding and identifying human postures, and detecting faces within videos. You will use powerful machine learning tools such as OpenCV, Dlib, and TensorFlow to build exciting projects such as classifying handwritten digits, detecting facial features,and much more. The book also covers some advanced projects, such as reading text from license plates from real-world images using Google's Tesseract software, and tracking human body poses using DeeperCut within TensorFlow.
By the end of this book, you will have the expertise required to build your own Computer Vision projects using Python and its associated libraries.
What you will learn
• Install and run major Computer Vision packages within Python
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• Apply powerful support vector machines for simple digit classification
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• Understand deep learning with TensorFlow
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• Build a deep learning classifier for general images
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• Use LSTMs for automated image captioning
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• Read text from real-world images
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• Extract human pose data from images
Who this book is for
Python programmers and machine learning developers who wish to build exciting Computer Vision projects using the power of machine learning and OpenCV will find this book useful. The only prerequisite for this book is that you should have a sound knowledge of Python programming.
© 2018 Packt Publishing (E-raamat): 9781789954906
Väljaandmise kuupäev
E-raamat: 28. detsember 2018
Raamatud, mis sarnanevad raamatuga Computer Vision Projects with OpenCV and Python 3: Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
- Sõja lapsed Martin Walker
- Allüürnik Freida McFadden
- Kui muutuda, siis jäädavalt Rangan Chatterjee
- Petlik tõde Colleen Hoover
- Tööpäev Tõnu Õnnepalu
- Threshing Day (Wing and Claw Collection) Rebecca Yarros
- Karulõks Berit Sootak
- Kaneelisaiakese raamatupood Laurie Gilmore
- Mõrvad Rue Morgue'il Edgar Allan Poe
- Koole maha, kaunitar Helena Marchmont
- Misterioso Arne Dahl
- Mõrv Langley metsas Betty Rowlands
- Märgistatud Max Seeck
- Kui meri rahuneb Jørn Lier Horst
- Variatsioon Rebecca Yarros
- Petlik tõde Colleen Hoover
- Allüürnik Freida McFadden
- Cragside’i häärber L. J. Ross
- Prouad tõsielusarjas ja armastuse otsinguil Sirje Salu
- Matilda Leelo Kassikäpp
- Märgistatud Max Seeck
- Ära kasutatud, vägistatud ja müüdud Jessika Devert, Paulina Bengtsson
- Ja ei jäänud teda ka Agatha Christie
- Mina, korralik naine Jaan Mikweldt
- Safranisügis Maija Kajanto
- Fifty-Fifty Steve Cavanagh
- Sõja lapsed Martin Walker
- Külm nagu kivi Alex Smith
- Lenda minuga Katariina Tammert
- Sitt päev Martin Hook
- Petlik tõde Colleen Hoover
- Märgistatud Max Seeck
- Ära kasutatud, vägistatud ja müüdud Jessika Devert, Paulina Bengtsson
- Kaneelisaiakese raamatupood Laurie Gilmore
- Cragside’i häärber L. J. Ross
- Dorian Gray portree Oscar Wilde
- Veristan su nagu lambatalle Shahrazad
- Safranisügis Maija Kajanto
- Fifty-Fifty Steve Cavanagh
- Kuuõde Lucinda Riley
- Armastuse keemia Ali Hazelwood
- Kõrvitsavürtsi kohvik Laurie Gilmore
- Kaneelirullisuvi Maija Kajanto
- Variatsioon Rebecca Yarros
- Tormiõde Lucinda Riley
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