Outros livros que poderiam interessá-lo

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  Hands-on ML Projects with OpenCV

  Mugesh S.

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  Be at your A game in building Intelligent systems by leveraging Computer vision and Machine Learning. 
  
  KEY FEATURES 
  - Step-by-step instructions and code snippets for real world ML projects. 
  - Covers entire spectrum from basics to advanced concepts such as deep learning, transfer learning, and model optimization
  - Loaded with practical tips and best practices for implementing machine learning with OpenCV for optimising your workflow. 
  
  DESCRIPTION
  This book is an in-depth guide that merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. The book introduces fundamental concepts in machine learning and computer vision, progressing to practical implementation with OpenCV. Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets. 
  
  Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. It’s an ultimate guide to explore areas like deep learning, transfer learning, and model optimization, empowering readers to tackle complex tasks. Every chapter offers practical tips and tricks to build effective ML models. 
  
  By the end, you would have mastered and applied ML concepts confidently to real-world computer vision problems and will be able to develop robust and accurate machine-learning models for diverse applications. 
  
  Whether you are new to machine learning or seeking to enhance your computer vision skills, This book is an invaluable resource for mastering the integration of machine learning and computer vision using OpenCV and Python. 
  
  WHAT WILL YOU LEARN 
  - Learn how to work with images and perform basic image processing tasks using OpenCV. 
  - Implement machine learning techniques to computer vision tasks such as image classification, object detection, and image segmentation. 
  - Work on real-world projects and datasets to gain hands-on experience in applying machine learning techniques with OpenCV. 
  - Explore the concepts of deep learning using Tensorflow and Keras and how it can be used for computer vision tasks. 
  - Understand the concept of transfer learning and how pre-trained models can be leveraged for new tasks. 
  - Utilize techniques for model optimization and deployment in resource-constrained environments. 
  - Implement end-to-end solutions and address challenges encountered in practical scenarios. 
  
  WHO IS THIS BOOK FOR?
  This book is for everyone with a basic understanding of programming and who wants to apply machine learning in computer vision using OpenCV and Python. Whether you're a student, researcher, or developer, this book will equip you with practical skills for machine learning projects. Some familiarity with Python and machine learning concepts is assumed. Beginners too will find this book valuable as it offers clear examples and explanations for every concept. 
  
  TABLE OF CONTENTS 
  Chapter 1: Getting Started With OpenCV 
  Chapter 2: Basic Image & Video Analytics in OpenCV
  Chapter 3: Image Processing 1 using OpenCV
  Chapter 4: Image Processing 2 using OpenCV
  Chapter 5: Thresholding and Contour Techniques Using OpenCV 
  Chapter 6: Detect Corners and Road Lane using OpenCV
  Chapter 7: Object And Motion Detection Using Opencv
  Chapter 8: Image Segmentation and Detecting Faces Using OpenCV
  Chapter 9: Introduction to Deep Learning with OpenCV
  Chapter 10: Advance Deep Learning Projects with OpenCV
  Chapter 11: Deployment of OpenCV projects

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  The Synesthesia Experience -...

  Maureen Seaberg

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  A violinist sees a scarlet form when he plays a certain note; a rock star sees waves of blue and green as he composes a ballad; an actress tastes cake when she utters the word "table." Described by some as a superpower this mingling of the senses is called "synesthesia," and the people who possess this amazing gift are called "synesthetes." 
   
   
    
  What happens when a journalist turns her lens on a mystery happening in her own life? Maureen Seaberg did just that and lived for a year exploring her synesthesia. The wondrous brain trait is often described as blended senses, but for Maureen, synesthesia is not an idle "brain tick" that can be explained away by science (although it does offer some important clues). It is a unique ability to tap into and reveal a greater creative universe and even the divine. 
   
   
   
  Join her as she visits top neuroscientists, rock stars, violinists, other synesthetes, philosophers, savants, quantum physicists, and even Tibetan lamas in her journey toward the truth. 
   
   
   
  Step into Maureen's shimmering alternate universe as she explores this fascinating subject, combining clear explanations of groundbreaking scientific research with an exploration of deeper understanding of our senses.

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  Whispers of the Marsh - Water...

  Greg Cetus

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  In a lush coastal wetland bordered by coniferous forest, gentle trickles of flowing water weave through marsh grasses, creating a soft, ever-changing rhythm. The lively chorus of Pacific Chorus Frogs fills the air with bubbling calls, while a diverse ensemble of birds brings vibrant life to the soundscape—Pacific Wrens trill from hidden perches, American Robins sing with clear exuberance, Band-tailed Pigeons coo distantly, and tiny Golden-crowned Kinglets flit about with sharp calls. Hutton’s Vireos add subtle melody to the mix, all within a dynamic acoustic space that shifts with the breeze and water movement. This immersive recording captures the rich biodiversity of a thriving wetland habitat, offering listeners a peaceful escape into nature’s delicate symphony—perfect for relaxation, study, or reconnecting with the wild serenity of freshwater marshlands.

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  Birds Beasts and Bedlam -...

  Derek Gow

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  Birds, Beasts and Bedlam recounts the adventures of farmer-turned-rewilder Derek Gow, who is saving Britain’s much-loved but dangerously threatened species, from the water vole to beaver, wildcat to white stork, and tree frog to glow worm. Derek tells us all about the realities of rewilding: how he reared delicate roe deer and a sofa-loving wild boar piglet, moved a raging bison bull across the country, got bitten by a Scottish wildcat, returned honking skeins of graylag geese to the land and water that was once theirs, and restored the white stork to the Knepp Estate with Charlie Burrell and Isabella Tree. Derek’s first book, Bringing Back the Beaver, was a riotously funny and subversive account of his single-handed reintroduction of the beaver in Britain. Birds, Beasts and Bedlam, a natural successor to Gerald Durrell’s A Zoo in My Luggage, tells the story of Derek’s rewilding journey and his work to save many more species by transforming his Devon farm into a wildlife breeding center. He now houses beavers, white storks, water voles, lynx, wildcats, and harvest mice, with the aim of releasing them into the wild one day. Tearing down fences literally and metaphorically, Derek Gow is the one person with the character and strength of will to defy authority, bend the rules, and save our wildlife.

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  Smarter Healthcare with AI -...

  Hassan A. Tetteh

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  Smarter Healthcare with AI takes readers on an insightful journey into the future of medicine. Drawing from his extensive experience in military medicine, Dr. Tetteh explores how artificial intelligence can revolutionize healthcare through medical imaging, health records analysis, and suicide prevention.

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  Shigellosis - Causes Symptoms...

  Lilly Richardsen

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  Shigellosis is a highly contagious bacterial infection caused by the Shigella species, which primarily affects the intestines and leads to symptoms such as diarrhea, fever, and stomach cramps. The disease spreads easily through direct person-to-person contact, contaminated food and water, or poor hygiene practices. It is a significant public health concern, particularly in developing countries where sanitation infrastructure is inadequate. However, outbreaks also occur in more developed regions, especially in crowded environments such as schools, daycare centers, and nursing homes. Understanding the nature of Shigella, its transmission routes, and its global impact is essential in addressing and preventing the spread of the disease. 
  The Shigella genus consists of four major species: Shigella dysenteriae, Shigella flexneri, Shigella boydii, and Shigella sonnei. Each of these species is associated with varying degrees of illness severity, with Shigella dysenteriae being the most severe due to its production of the Shiga toxin. Shigella sonnei is the most common cause of infection in industrialized nations, while Shigella flexneri is more prevalent in developing regions. These bacteria invade the cells lining the intestines, leading to inflammation, ulcers, and severe diarrhea that may contain blood or mucus. Because Shigella is highly resistant to stomach acid, only a small number of bacteria—sometimes fewer than 100—are needed to cause an infection. 
  The primary mode of transmission for Shigella is the fecal-oral route. This means that infection occurs when an individual ingests even a tiny amount of contaminated fecal matter. Poor hand hygiene, inadequate sanitation, and the consumption of contaminated food or water are key contributors to outbreaks.

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