Tag: computer vision

  • AI: Unlocking the Future of Technology, Innovation, and Human Potential

    AI: Unlocking the Future of Technology, Innovation, and Human Potential


    Price: $0.00
    (as of Dec 27,2024 05:06:29 UTC – Details)



    AI: Unlocking the Future of Technology, Innovation, and Human Potential

    Artificial Intelligence (AI) has revolutionized the way we live, work, and interact with the world around us. From self-driving cars to virtual assistants, AI is transforming industries and shaping the future of technology.

    One of the most exciting aspects of AI is its potential to unlock new levels of innovation and human potential. With AI, we can automate repetitive tasks, analyze vast amounts of data, and make more informed decisions faster than ever before.

    AI is also driving breakthroughs in fields such as healthcare, finance, and education. In healthcare, AI is being used to diagnose diseases, personalize treatment plans, and improve patient outcomes. In finance, AI is helping to detect fraud, optimize investment strategies, and streamline operations. And in education, AI is enabling personalized learning experiences, adaptive tutoring, and skill development.

    As we continue to harness the power of AI, we are unleashing a new wave of technological advancements that will shape the future of our world. By embracing AI, we can unlock new opportunities for innovation, drive economic growth, and enhance our quality of life.

    The possibilities are endless with AI. It is up to us to harness its potential and shape a future where technology, innovation, and human potential are truly limitless. Let’s embrace the power of AI and unlock a brighter future for all.
    #Unlocking #Future #Technology #Innovation #Human #Potential

  • New Age of Robotics and Modern Computer Vision: Advances, Innovations and Applications

    New Age of Robotics and Modern Computer Vision: Advances, Innovations and Applications


    Price: $89.99 – $71.79
    (as of Dec 27,2024 04:36:12 UTC – Details)




    Publisher ‏ : ‎ Central West Publishing (May 31, 2024)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 120 pages
    ISBN-10 ‏ : ‎ 1922617598
    ISBN-13 ‏ : ‎ 978-1922617590
    Item Weight ‏ : ‎ 11.7 ounces
    Dimensions ‏ : ‎ 6 x 0.31 x 9 inches


    The field of robotics and computer vision is rapidly advancing, ushering in a new age of technology and innovation. From self-driving cars to advanced surveillance systems, these cutting-edge technologies are transforming industries and revolutionizing the way we live and work.

    In recent years, there have been significant breakthroughs in robotics and computer vision that have paved the way for new applications and capabilities. Advances in artificial intelligence, machine learning, and sensor technology have enabled robots to perform complex tasks with greater precision and efficiency. Meanwhile, modern computer vision systems are able to analyze and interpret visual data in real-time, providing valuable insights for a variety of applications.

    One of the most exciting developments in this field is the rise of autonomous robots, which are able to navigate and interact with their environment without human intervention. These robots are being used in industries such as manufacturing, logistics, and healthcare to increase productivity and efficiency. In addition, computer vision systems are being integrated into security cameras, drones, and other devices to enhance surveillance capabilities and improve safety.

    As we move into the future, we can expect to see even more innovations and applications in the field of robotics and computer vision. From robots that can collaborate with humans in the workplace to advanced image recognition systems that can detect and analyze objects in real-time, the possibilities are endless. The new age of robotics and modern computer vision is here, and it promises to revolutionize the way we live, work, and interact with technology.
    #Age #Robotics #Modern #Computer #Vision #Advances #Innovations #Applications

  • Plenoptic Imaging and Processing (Advances in Computer Vision and Pattern Recognition)

    Plenoptic Imaging and Processing (Advances in Computer Vision and Pattern Recognition)


    Price: $59.99
    (as of Dec 27,2024 04:04:58 UTC – Details)



    Plenoptic Imaging and Processing: Revolutionizing Computer Vision and Pattern Recognition

    Plenoptic imaging, a cutting-edge technology that captures a scene’s light field, is transforming the field of computer vision and pattern recognition. By capturing not only the intensity of light but also its direction and angle, plenoptic cameras can produce images with unprecedented depth and focus flexibility.

    Advances in plenoptic imaging algorithms and processing techniques have enabled researchers to extract more information from images than ever before. This has opened up new possibilities in fields such as autonomous driving, augmented reality, and medical imaging.

    One of the key benefits of plenoptic imaging is its ability to refocus images after they have been captured. This means that even if a photo is taken out of focus, the focus can be adjusted later during processing. This has huge implications for industries where precise imaging is crucial, such as in medical diagnostics or manufacturing.

    Additionally, plenoptic imaging allows for the creation of 3D models from 2D images, providing a more immersive and interactive viewing experience. This can be particularly useful in fields like virtual reality and gaming.

    Overall, the advancements in plenoptic imaging and processing are revolutionizing the way we capture and interpret visual information. As researchers continue to push the boundaries of this technology, we can expect to see even more exciting applications in the near future.
    #Plenoptic #Imaging #Processing #Advances #Computer #Vision #Pattern #Recognition

  • Computer Vision Projects with PyTorch: Design and Develop Production-Grade Models

    Computer Vision Projects with PyTorch: Design and Develop Production-Grade Models


    Price: $19.95
    (as of Dec 27,2024 03:33:22 UTC – Details)




    ASIN ‏ : ‎ B0B6ZBHS91
    Publisher ‏ : ‎ Apress (July 18, 2022)
    Publication date ‏ : ‎ July 18, 2022
    Language ‏ : ‎ English
    File size ‏ : ‎ 21640 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 380 pages


    Computer Vision Projects with PyTorch: Design and Develop Production-Grade Models

    In recent years, computer vision has emerged as a powerful tool in various industries, from healthcare to autonomous driving. PyTorch, a popular open-source machine learning library, has become the go-to framework for developing computer vision models due to its flexibility, ease of use, and strong community support.

    In this post, we will explore how to design and develop production-grade computer vision models using PyTorch. We will cover key concepts, best practices, and practical tips for building robust and scalable models that can be deployed in real-world applications.

    Key topics we will discuss include:

    1. Data preprocessing: The first step in any computer vision project is to preprocess the data. We will show you how to load, transform, and augment image data using PyTorch’s powerful data handling capabilities.

    2. Model design: We will walk you through the process of designing a convolutional neural network (CNN) architecture for your computer vision task. We will cover popular architectures such as ResNet, VGG, and MobileNet, as well as techniques for improving model performance, such as transfer learning and fine-tuning.

    3. Training and evaluation: We will show you how to train your model using PyTorch’s training loop and evaluate its performance using metrics such as accuracy, precision, recall, and F1 score. We will also discuss techniques for optimizing hyperparameters and preventing overfitting.

    4. Deployment: Once you have trained and evaluated your model, the next step is to deploy it in a real-world application. We will discuss different deployment strategies, including serving your model using a REST API, integrating it into a web application, or deploying it to the cloud using services like AWS or Azure.

    By the end of this post, you will have a solid understanding of how to design and develop production-grade computer vision models using PyTorch. Whether you are a beginner looking to get started with computer vision or an experienced practitioner looking to improve your skills, this post will provide you with the knowledge and tools you need to succeed in this exciting field. Let’s get started!
    #Computer #Vision #Projects #PyTorch #Design #Develop #ProductionGrade #Models

  • Hands-On Computer Vision with Julia: Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence

    Hands-On Computer Vision with Julia: Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence


    Price: $43.99
    (as of Dec 27,2024 03:00:55 UTC – Details)




    ASIN ‏ : ‎ B07CSPBV11
    Publisher ‏ : ‎ Packt Publishing; 1st edition (June 29, 2018)
    Publication date ‏ : ‎ June 29, 2018
    Language ‏ : ‎ English
    File size ‏ : ‎ 4702 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 204 pages
    Page numbers source ISBN ‏ : ‎ 1788998790


    Are you looking to take your computer vision skills to the next level? Look no further than Hands-On Computer Vision with Julia! In this post, we will explore how you can build complex applications using advanced Julia packages for image processing, neural networks, and Artificial Intelligence.

    Julia is a high-level, high-performance programming language specifically designed for numerical and scientific computing. With its easy-to-read syntax and powerful libraries, Julia is the perfect choice for developing cutting-edge computer vision applications.

    In this post, we will cover topics such as:

    – Image processing: Learn how to manipulate and analyze images using Julia’s powerful libraries, such as Images.jl and ImageFeatures.jl.
    – Neural networks: Dive into the world of deep learning with packages like Flux.jl and Knet.jl, and discover how to train and deploy neural networks for computer vision tasks.
    – Artificial Intelligence: Explore how Julia can be used to build intelligent systems that can understand and interpret visual data, opening up new possibilities for applications in areas such as healthcare, autonomous vehicles, and more.

    Whether you are a seasoned computer vision expert or a beginner looking to dive into this exciting field, Hands-On Computer Vision with Julia will provide you with the knowledge and skills you need to build advanced applications that push the boundaries of what is possible in computer vision. So why wait? Start your journey with Julia today and unlock the full potential of computer vision!
    #HandsOn #Computer #Vision #Julia #Build #complex #applications #advanced #Julia #packages #image #processing #neural #networks #Artificial #Intelligence

  • OpenCV 3.0 Computer Vision With Java: Create Multiplatform Computer Vision Desktop and Web Applications Using the Combination of Opencv and Java

    OpenCV 3.0 Computer Vision With Java: Create Multiplatform Computer Vision Desktop and Web Applications Using the Combination of Opencv and Java


    Price: $42.27
    (as of Dec 27,2024 02:30:49 UTC – Details)




    Publisher ‏ : ‎ Packt Pub Ltd (June 21, 2015)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 147 pages
    ISBN-10 ‏ : ‎ 1783283971
    ISBN-13 ‏ : ‎ 978-1783283972
    Item Weight ‏ : ‎ 11.3 ounces
    Dimensions ‏ : ‎ 9.25 x 7.52 x 0.37 inches


    OpenCV 3.0 Computer Vision With Java: Create Multiplatform Computer Vision Desktop and Web Applications Using the Combination of Opencv and Java

    Computer vision is a rapidly growing field that has numerous applications in various industries such as healthcare, automotive, retail, and more. OpenCV, an open-source computer vision and machine learning software library, has become one of the most popular tools for developing computer vision applications.

    With the release of OpenCV 3.0, developers now have access to even more powerful features and functionalities to create advanced computer vision applications. By combining the capabilities of OpenCV with the flexibility and ease of use of Java, developers can create multiplatform computer vision desktop and web applications that can run on a wide range of devices.

    In this post, we will explore how to use OpenCV 3.0 with Java to create computer vision applications that can be deployed on different platforms. We will cover topics such as image processing, object detection, face recognition, and more, and provide examples and code snippets to help you get started with your own projects.

    Whether you are a beginner looking to learn more about computer vision or an experienced developer looking to expand your skillset, OpenCV 3.0 with Java offers a powerful combination that can help you create innovative and cutting-edge computer vision applications. Stay tuned for more updates and tutorials on how to leverage the power of OpenCV and Java for your projects.
    #OpenCV #Computer #Vision #Java #Create #Multiplatform #Computer #Vision #Desktop #Web #Applications #Combination #Opencv #Java

  • Algorithmic High-Dimensional Robust Statistics

    Algorithmic High-Dimensional Robust Statistics


    Price: $49.84
    (as of Dec 27,2024 01:59:24 UTC – Details)




    ASIN ‏ : ‎ B0CCJWK6CD
    Publisher ‏ : ‎ Cambridge University Press (September 7, 2023)
    Publication date ‏ : ‎ September 7, 2023
    Language ‏ : ‎ English
    File size ‏ : ‎ 6630 KB
    Simultaneous device usage ‏ : ‎ Up to 4 simultaneous devices, per publisher limits
    Text-to-Speech ‏ : ‎ Not enabled
    Enhanced typesetting ‏ : ‎ Not Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Format ‏ : ‎ Print Replica


    Algorithmic High-Dimensional Robust Statistics: Exploring the Cutting Edge of Data Analysis

    In the world of data analysis, the field of robust statistics has long been recognized as a powerful tool for dealing with outliers and other forms of data contamination. However, as datasets become increasingly high-dimensional and complex, traditional robust statistical methods can struggle to keep up.

    Enter algorithmic high-dimensional robust statistics. This cutting-edge approach combines the power of robust statistics with the efficiency of modern algorithms, allowing researchers to tackle complex data analysis problems in a robust and reliable way.

    In this post, we’ll explore the key concepts behind algorithmic high-dimensional robust statistics, discuss some of the most popular algorithms in the field, and highlight some of the exciting applications that this approach is being used for. Whether you’re a seasoned data scientist or just starting out in the world of statistics, algorithmic high-dimensional robust statistics is a fascinating field that’s definitely worth exploring.
    #Algorithmic #HighDimensional #Robust #Statistics

  • Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition)

    Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition)


    Price: $84.99
    (as of Dec 27,2024 01:27:39 UTC – Details)



    Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition)

    Probabilistic graphical models (PGMs) have gained significant attention in the field of artificial intelligence and machine learning due to their ability to model complex relationships between variables and make probabilistic inferences. In the book “Probabilistic Graphical Models: Principles and Applications,” authors explore the fundamental principles behind PGMs and their applications in computer vision and pattern recognition.

    The book covers topics such as Bayesian networks, Markov networks, and inference algorithms, providing a comprehensive understanding of the theoretical foundations of PGMs. Readers will learn how to use PGMs to model real-world problems, such as image recognition, object tracking, and natural language processing.

    With contributions from leading experts in the field, this book is a valuable resource for researchers, practitioners, and students interested in understanding the principles and applications of probabilistic graphical models in computer vision and pattern recognition. Whether you are new to the field or looking to deepen your knowledge, this book offers a comprehensive overview of PGMs and their practical applications.
    #Probabilistic #Graphical #Models #Principles #Applications #Advances #Computer #Vision #Pattern #Recognition

  • OpenCV 4 with Python Blueprints, Second Edition

    OpenCV 4 with Python Blueprints, Second Edition


    Price: $48.99 – $46.57
    (as of Dec 27,2024 00:55:25 UTC – Details)




    Publisher ‏ : ‎ Packt Publishing; 2nd ed. edition (March 20, 2020)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 366 pages
    ISBN-10 ‏ : ‎ 1789801818
    ISBN-13 ‏ : ‎ 978-1789801811
    Item Weight ‏ : ‎ 1.41 pounds
    Dimensions ‏ : ‎ 9.25 x 7.52 x 0.76 inches


    OpenCV 4 with Python Blueprints, Second Edition: Dive into the world of computer vision with this comprehensive guide!

    Are you ready to take your OpenCV skills to the next level? Look no further than the second edition of “OpenCV 4 with Python Blueprints.” Packed with hands-on projects and real-world examples, this book will help you master the art of computer vision using Python and OpenCV 4.

    From image processing and object detection to face recognition and augmented reality, this book covers it all. You’ll learn how to build a face recognition system, create a panoramic image stitcher, track objects in video streams, and much more. Each chapter is filled with practical exercises and step-by-step instructions to help you learn and implement advanced computer vision techniques.

    Whether you’re a beginner looking to get started with OpenCV or an experienced developer wanting to expand your skills, “OpenCV 4 with Python Blueprints” has something for everyone. So don’t wait any longer – grab your copy today and start building your own computer vision projects!

    #OpenCV #Python #ComputerVision #Blueprints #Programming #Technology #Books #SecondEdition
    #OpenCV #Python #Blueprints #Edition

  • Dictionary of Computer Vision and Image Processing Paperback

    Dictionary of Computer Vision and Image Processing Paperback



    Dictionary of Computer Vision and Image Processing Paperback

    Price : 43.95

    Ends on : N/A

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    “Introducing the Dictionary of Computer Vision and Image Processing Paperback: Your Comprehensive Guide to Understanding Key Concepts and Terminology in the Field”

    Are you looking to deepen your understanding of computer vision and image processing? Look no further than the Dictionary of Computer Vision and Image Processing Paperback. This comprehensive guide is designed to help you navigate the complex world of computer vision and image processing with ease.

    Inside this paperback, you’ll find a wealth of information on key concepts, techniques, and terminology used in the field. From image segmentation and feature extraction to object recognition and deep learning, this dictionary covers it all. Whether you’re a beginner looking to build a solid foundation or an experienced professional seeking to expand your knowledge, this book is a valuable resource for anyone working in the field of computer vision and image processing.

    With easy-to-understand definitions and examples, the Dictionary of Computer Vision and Image Processing Paperback is a must-have reference for students, researchers, and practitioners alike. Don’t miss out on this essential guide to mastering the language of computer vision and image processing. Order your copy today!
    #Dictionary #Computer #Vision #Image #Processing #Paperback

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