I M A Python Programmer
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Programming Computer Vision With Python
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Author : Jan Erik Solem
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012-06-19
Programming Computer Vision With Python written by Jan Erik Solem and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-19 with Computers categories.
If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python. Programming Computer Vision with Python explains computer vision in broad terms that won’t bog you down in theory. You get complete code samples with explanations on how to reproduce and build upon each example, along with exercises to help you apply what you’ve learned. This book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills. Learn techniques used in robot navigation, medical image analysis, and other computer vision applications Work with image mappings and transforms, such as texture warping and panorama creation Compute 3D reconstructions from several images of the same scene Organize images based on similarity or content, using clustering methods Build efficient image retrieval techniques to search for images based on visual content Use algorithms to classify image content and recognize objects Access the popular OpenCV library through a Python interface
Hands On Image Processing With Python
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Author : Sandipan Dey
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-11-30
Hands On Image Processing With Python written by Sandipan Dey and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-30 with Computers categories.
Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks. Key FeaturesPractical coverage of every image processing task with popular Python librariesIncludes topics such as pseudo-coloring, noise smoothing, computing image descriptorsCovers popular machine learning and deep learning techniques for complex image processing tasksBook Description Image processing plays an important role in our daily lives with various applications such as in social media (face detection), medical imaging (X-ray, CT-scan), security (fingerprint recognition) to robotics & space. This book will touch the core of image processing, from concepts to code using Python. The book will start from the classical image processing techniques and explore the evolution of image processing algorithms up to the recent advances in image processing or computer vision with deep learning. We will learn how to use image processing libraries such as PIL, scikit-mage, and scipy ndimage in Python. This book will enable us to write code snippets in Python 3 and quickly implement complex image processing algorithms such as image enhancement, filtering, segmentation, object detection, and classification. We will be able to use machine learning models using the scikit-learn library and later explore deep CNN, such as VGG-19 with Keras, and we will also use an end-to-end deep learning model called YOLO for object detection. We will also cover a few advanced problems, such as image inpainting, gradient blending, variational denoising, seam carving, quilting, and morphing. By the end of this book, we will have learned to implement various algorithms for efficient image processing. What you will learnPerform basic data pre-processing tasks such as image denoising and spatial filtering in PythonImplement Fast Fourier Transform (FFT) and Frequency domain filters (e.g., Weiner) in PythonDo morphological image processing and segment images with different algorithmsLearn techniques to extract features from images and match imagesWrite Python code to implement supervised / unsupervised machine learning algorithms for image processingUse deep learning models for image classification, segmentation, object detection and style transferWho this book is for This book is for Computer Vision Engineers, and machine learning developers who are good with Python programming and want to explore details and complexities of image processing. No prior knowledge of the image processing techniques is expected.
Computer Vision Projects With Opencv And Python 3
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Author : Matthew Rever
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-28
Computer Vision Projects With Opencv And Python 3 written by Matthew Rever and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-28 with Computers categories.
Gain a working knowledge of advanced machine learning and explore Python’s powerful tools for extracting data from images and videos Key FeaturesImplement image classification and object detection using machine learning and deep learningPerform image classification, object detection, image segmentation, and other Computer Vision tasksCrisp content with a practical approach to solving real-world problems in Computer VisionBook 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 learnInstall and run major Computer Vision packages within PythonApply powerful support vector machines for simple digit classificationUnderstand deep learning with TensorFlowBuild a deep learning classifier for general imagesUse LSTMs for automated image captioningRead text from real-world imagesExtract human pose data from imagesWho 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.
Python Programming For Beginners
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Author : Dylan Mach
language : en
Publisher:
Release Date : 2021-02-18
Python Programming For Beginners written by Dylan Mach and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-18 with categories.
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Image Processing And Acquisition Using Python
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Author : Ravishankar Chityala
language : en
Publisher: CRC Press
Release Date : 2020-06-11
Image Processing And Acquisition Using Python written by Ravishankar Chityala and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-11 with Mathematics categories.
Image Processing and Acquisition using Python provides readers with a sound foundation in both image acquisition and image processing—one of the first books to integrate these topics together. By improving readers’ knowledge of image acquisition techniques and corresponding image processing, the book will help them perform experiments more effectively and cost efficiently as well as analyze and measure more accurately. Long recognized as one of the easiest languages for non-programmers to learn, Python is used in a variety of practical examples. A refresher for more experienced readers, the first part of the book presents an introduction to Python, Python modules, reading and writing images using Python, and an introduction to images. The second part discusses the basics of image processing, including pre/post processing using filters, segmentation, morphological operations, and measurements. The second part describes image acquisition using various modalities, such as x-ray, CT, MRI, light microscopy, and electron microscopy. These modalities encompass most of the common image acquisition methods currently used by researchers in academia and industry. Features Covers both the physical methods of obtaining images and the analytical processing methods required to understand the science behind the images. Contains many examples, detailed derivations, and working Python examples of the techniques. Offers practical tips on image acquisition and processing. Includes numerous exercises to test the reader’s skills in Python programming and image processing, with solutions to selected problems, example programs, and images available on the book’s web page. New to this edition Machine learning has become an indispensable part of image processing and computer vision, so in this new edition two new chapters are included: one on neural networks and the other on convolutional neural networks. A new chapter on affine transform and many new algorithms. Updated Python code aligned to the latest version of modules.
Image Operators
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Author : Jason M. Kinser
language : en
Publisher: CRC Press
Release Date : 2018-10-10
Image Operators written by Jason M. Kinser and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-10 with Technology & Engineering categories.
For decades, researchers have been developing algorithms to manipulate and analyze images. From this, a common set of image tools now appear in many high-level programming languages. Consequently, the amount of coding required by a user has significantly lessened over the years. While the libraries for image analysis are coalescing to a common toolkit, the language of image analysis has remained stagnant. Often, textual descriptions of an analytical protocol consume far more real estate than does the computer code required to execute the processes. Furthermore, the textual explanations are sometimes vague or incomplete. This book offers a precise mathematical language for the field of image processing. Defined operators correspond directly to standard library routines, greatly facilitating the translation between mathematical descriptions and computer script. This text is presented with Python 3 examples. This text will provide a unified language for image processing Provides the theoretical foundations with accompanied Python® scripts to precisely describe steps in image processing applications Linkage between scripts and theory through operators will be presented All chapters will contain theories, operator equivalents, examples, Python® codes, and exercises
A Concise Introduction To Programming In Python
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Author : Mark J. Johnson
language : en
Publisher: CRC Press
Release Date : 2011-12-21
A Concise Introduction To Programming In Python written by Mark J. Johnson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-21 with Computers categories.
Suitable for newcomers to computer science, A Concise Introduction to Programming in Python provides a succinct, yet complete, first course in computer science using the Python programming language. The book features: Short, modular chapters with brief and precise explanations, intended for one class period Early introduction of basic procedural constructs such as functions, selection, and repetition, allowing them to be used throughout the course Objects are introduced in the middle of the course, and class design comes toward the end Examples, exercises, and projects from a wide range of application domains, including biology, physics, images, sound, mathematics, games, and textual analysis No external libraries are required, simplifying the book’s use in common lab spaces Each chapter introduces a main idea through a concrete example and a series of exercises. Designed to teach programming in a concise, yet comprehensive way, this book provides a timely introduction for students and anyone interested in learning Python.
Python Programming For Beginners
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Author : jason canon
language : en
Publisher:
Release Date : 2019-11-03
Python Programming For Beginners written by jason canon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-03 with categories.
It is no surprise to anyone that, currently, the technological and computer processes are advancing and progressing at an extremely advanced speed. Every day, we see new applications, programs, electronics, and other products that make a lot easier the actions we do every day. For the creation of each of these things, the union and coexistence of many factors are required. For a vehicle to work properly, it must have a computer in charge of all the processes. Apart from the electricity and electronics of the vehicle, we need the programming. In this book, you will find extremely important information about the beginnings of programming in general and to learn how to program in the programming language Python from zero. Throughout the chapters of this book, you will find several examples of programs that will help you understand the programming process. In addition to that, when you finish this book, you will have extensive knowledge in the following areas: Data Types: Integers, Floats, Complex, Booleans, Strings, and others; The meaning of variable, how to declare a variable, and types of variables Basic Operators and Statements: What are the basic operators and why they are needed, the different statements with their respective diagrams Loops and Control Statements: What is a loop and how to use it, nested loops, for, range, while, break, continue, and pass Exceptions: What is an exception and its benefits, the use of try and except Files Management: What is it and how to use it, handling .xslx, .pdf, and .txt files MySQL: What is a database and how to use it, short introduction to MySQL language, Python and MySQL Programming and Classes-Objects: What is OOP (Object-Oriented Programming) and the benefits of this type of programming, what is a class and a method and how to create them Why should you buy a book like this? Because with everything explained in this book, you will be able to make programs, applications, and even products that can compete in the market and thus generate an extra income, in addition to being able to grow as a person by learning something new. Probably, you will find many books in this style in the market and you have a lot of doubts about which one is the best or which one you should buy. However, this is, if not the best, one of them because it has many images that are used to illustrate, in a certain way, the user about the usage and functioning of the different areas that are explained throughout the book. Here, you will even find a step-by-step guide on how to install Python on your computer whatever your operating system is because the installation changes depending on whether you use Windows, macOS, or Linux. So, don't hesitate!! Buy this book right now and enjoy all the information, images, examples, and tips you will find written here, and become a great Python programmer.
Python For Kids
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Author : Christian Morrison
language : en
Publisher:
Release Date : 2020-10-18
Python For Kids written by Christian Morrison and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-18 with categories.
Is your kid already interested in computer programming or just loves to use a computer for some free time activities? Are you looking for a proven and secure career path for your kid? What about a book that would make you and your kid engage, have fun, and learn at the same time? If you answered "Yes" to at least one of these questions, then keep reading... It is not a secret that the world is leading more and more towards science and technology, and the demand for IT and computer programming professionals are higher than ever before! What is the best way to start? I believe that mastering a powerful programming language is one of the best skills you could learn! Which one should you choose? My choice is definitely PYTHON - one of the most popular and widely used programming languages around the world! And it is not as difficult as it may sound... if you are already in computer programming or know a thing or two about Python, you know what I am talking about... If presented correctly, even Your Kids Can Easily Learn It! As young as 7 or 8 years old, sometimes even younger! Inside this book, you'll find a perfect introduction to Python Programming that will make your kid excited every time he or she sits down in from of the computer. Not to play games - but to learn! Here is just a fraction of what's inside: - Why Python over other Programming Languages? - The best way to start - Python Programming for beginners - The turtle graphics of your dreams - master the fastest way to create outstanding graphic images - What are the most important functions of Python Language, and how to master them fast? - Game programming - probably the most fascinating chapter for your kids to learn! - What Python Coding Games are the easiest to create for beginners? - How errors to avoid? Every upcoming Python Programmer should read this chapter! - Much much more... And keep in mind that with this book, you don't have to have any previous coding or programming experience. Whether it is going to be a gift for your kid or you want to master Python Programming Language yourself, this book will definitely help you build a strong foundation for this huge career opportunity! So don't wait, get this book today and Start Learning!
Python Programming With Design Patterns
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Author : James W. Cooper
language : en
Publisher: Pearson
Release Date : 2021-12-17
Python Programming With Design Patterns written by James W. Cooper and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-17 with Computers categories.
Improve Your Python Code with Modern Object-Oriented Design Patterns To write clean, efficient, maintainable code, developers everywhere turn to design patterns. Now there's a Python-specific patterns guide that's friendly and practical enough for every Python developer, regardless of experience. Best-selling patterns author James W. Cooper presents visual, example-driven explanations of 23 proven patterns for writing superior object-oriented code. Through clear and intuitive code samples, he introduces modern techniques for creating Python objects that interact effectively in powerful, flexible programs. Python newcomers--including those moving from other languages--will find a succinct introduction designed to get them up to speed fast. Cooper's wide-ranging patterns coverage addresses abstract classes, multiple inheritance, GUI programming and widgets, graphical classes, drawing and plotting, math, databases, Python decorators, images, threads, iterators, creating executable code, and more. Throughout, his informal visual presentation makes patterns far easier to work with--so you can confidently build sophisticated programs that use Python's rich capabilities. Review the essentials of Python objects and visual programming Learn what design patterns are, and how they help you write better code Use creational patterns to enhance flexibility and avoid unnecessary complexity Apply structural patterns to ensure that program elements work together well in large programs Optimize communication between objects with behavioral patterns