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Tag: OpenCV

  • OpenCV 4 for Secret Agents

    OpenCV 4 for Secret Agents


    Price: $43.99 – $24.97
    (as of Jan 03,2025 13:21:06 UTC – Details)




    Publisher ‏ : ‎ Packt Publishing; 2nd ed. edition (April 30, 2019)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 336 pages
    ISBN-10 ‏ : ‎ 1789345367
    ISBN-13 ‏ : ‎ 978-1789345360
    Item Weight ‏ : ‎ 1.3 pounds
    Dimensions ‏ : ‎ 9.25 x 7.52 x 0.7 inches


    Are you a secret agent looking to enhance your surveillance and image processing skills? Look no further than OpenCV 4! This powerful open-source computer vision library is perfect for analyzing and manipulating images and videos to gather crucial intelligence.

    With OpenCV 4, secret agents can easily detect and track objects, recognize faces, and even perform advanced image processing tasks. Whether you’re conducting covert operations or gathering evidence, OpenCV 4 has got you covered.

    So why wait? Upgrade your spy toolkit with OpenCV 4 and take your secret agent skills to the next level. Stay one step ahead of the game and get the edge you need to succeed in your missions. Trust us, your enemies won’t know what hit them. #OpenCV4 #SecretAgent #ComputerVision
    #OpenCV #Secret #Agents,opencv 4 with python blueprints

  • Qt 5 and OpenCV 4 Computer Vision Projects

    Qt 5 and OpenCV 4 Computer Vision Projects


    Price: $42.27
    (as of Jan 03,2025 11:58:46 UTC – Details)




    Publisher ‏ : ‎ Packt Publishing (June 20, 2019)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 348 pages
    ISBN-10 ‏ : ‎ 1789532582
    ISBN-13 ‏ : ‎ 978-1789532586
    Item Weight ‏ : ‎ 1.34 pounds
    Dimensions ‏ : ‎ 9.25 x 7.52 x 0.73 inches


    In this post, we will discuss some exciting projects that combine the power of Qt 5 and OpenCV 4 for computer vision applications. Qt is a popular cross-platform application framework that allows developers to create user interfaces for desktop, mobile, and embedded platforms. OpenCV is an open-source computer vision library that provides a wide range of algorithms for image processing, object detection, and machine learning.

    One project that can be created using Qt 5 and OpenCV 4 is a real-time face detection and recognition system. This project can use the Haar cascades algorithm provided by OpenCV for face detection, and a machine learning algorithm like Eigenfaces or Fisherfaces for face recognition. The user interface can be built using Qt 5 to display the live video feed from the camera and highlight detected faces with bounding boxes.

    Another interesting project is a license plate recognition system using Qt 5 and OpenCV 4. This project can use the Tesseract OCR engine provided by OpenCV for optical character recognition of license plates in images or video streams. The user interface can display the recognized license plate numbers along with additional information like the date and time of detection.

    These are just a few examples of the many computer vision projects that can be created using Qt 5 and OpenCV 4. By combining the powerful features of these two libraries, developers can create sophisticated applications for image processing, object detection, and machine learning. If you are interested in exploring the possibilities of computer vision, consider trying out these projects and experimenting with the capabilities of Qt 5 and OpenCV 4.
    #OpenCV #Computer #Vision #Projects,opencv 4 with python blueprints

  • Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7

    Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7


    Price: $31.19
    (as of Jan 03,2025 09:47:41 UTC – Details)




    ASIN ‏ : ‎ B07Q85SJLK
    Publisher ‏ : ‎ Packt Publishing; 1st edition (March 29, 2019)
    Publication date ‏ : ‎ March 29, 2019
    Language ‏ : ‎ English
    File size ‏ : ‎ 49402 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 988 pages


    Are you looking to take your OpenCV skills to the next level? Look no further than our comprehensive guide on Mastering OpenCV 4 with Python! In this practical guide, we cover a wide range of topics from image processing and augmented reality to deep learning with OpenCV 4 and Python 3.7.

    Whether you’re a beginner looking to get started with OpenCV or an experienced developer wanting to expand your knowledge, this guide has something for everyone. Learn how to manipulate images, detect objects, track motion, create augmented reality applications, and much more using the powerful combination of OpenCV 4 and Python.

    With step-by-step instructions, real-world examples, and hands-on exercises, you’ll quickly master the fundamentals of computer vision and image processing. Plus, with a focus on deep learning techniques, you’ll discover how to leverage neural networks to solve complex tasks like object detection and image classification.

    Don’t miss out on this invaluable resource for mastering OpenCV 4 with Python. Start your journey towards becoming a skilled computer vision developer today!
    #Mastering #OpenCV #Python #practical #guide #covering #topics #image #processing #augmented #reality #deep #learning #OpenCV #Python,opencv 4 with python blueprints

  • Building Computer Vision Projects with OpenCV 4 and C++

    Building Computer Vision Projects with OpenCV 4 and C++



    Building Computer Vision Projects with OpenCV 4 and C++

    Price : 80.71

    Ends on : N/A

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    Are you interested in building computer vision projects using OpenCV 4 and C++? Look no further! In this post, we will cover everything you need to know to get started with OpenCV 4 and C++ for your computer vision projects.

    OpenCV 4 is a powerful open-source computer vision library that provides a wide range of tools and algorithms for image and video processing. C++ is a popular programming language known for its performance and efficiency, making it a great choice for developing computer vision applications.

    To get started with building computer vision projects with OpenCV 4 and C++, you will need to install OpenCV on your system. You can download the latest version of OpenCV from the official website and follow the installation instructions for your operating system.

    Once you have OpenCV installed, you can start writing C++ code to perform various computer vision tasks, such as image processing, object detection, and video analysis. OpenCV provides a comprehensive set of functions and classes that make it easy to work with images and videos in C++.

    Whether you are a beginner or an experienced developer, building computer vision projects with OpenCV 4 and C++ can be a rewarding and exciting experience. So what are you waiting for? Start exploring the world of computer vision today!
    #Building #Computer #Vision #Projects #OpenCV,building computer vision projects with opencv 4 and c++

  • Learning Opencv: Computer Vision with the Opencv Library

    Learning Opencv: Computer Vision with the Opencv Library



    Learning Opencv: Computer Vision with the Opencv Library

    Price : 9.37

    Ends on : N/A

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    Learning Opencv: Computer Vision with the Opencv Library

    Are you interested in diving into the world of computer vision and image processing? Look no further than OpenCV, the open-source computer vision library that has become a staple in the industry.

    With OpenCV, you can perform a wide range of tasks such as object detection, image segmentation, facial recognition, and more. Whether you are a beginner or an experienced developer, OpenCV offers a plethora of resources and tools to help you master the art of computer vision.

    In this post, we will explore the basics of OpenCV, including how to install the library, work with images and videos, and implement various computer vision algorithms. We will also provide tips and tricks to help you get started on your computer vision journey.

    So, what are you waiting for? Join us as we delve into the exciting world of computer vision with OpenCV and unlock the endless possibilities that await you. Let’s get started!
    #Learning #Opencv #Computer #Vision #Opencv #Library,building computer vision projects with opencv 4 and c++

  • Building Computer Vision Projects with OpenCV 4 and C++ by Escrivá: New

    Building Computer Vision Projects with OpenCV 4 and C++ by Escrivá: New



    Building Computer Vision Projects with OpenCV 4 and C++ by Escrivá: New

    Price : 53.86

    Ends on : N/A

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    Just released! Dive into the world of computer vision with the latest book from Escrivá, “Building Computer Vision Projects with OpenCV 4 and C++.” Whether you’re a beginner or an experienced developer, this comprehensive guide will take you step-by-step through the process of creating cutting-edge projects using OpenCV and C++.

    From image processing and object detection to facial recognition and augmented reality, this book covers it all. You’ll learn how to work with the latest features of OpenCV 4, including deep learning and neural networks, and how to optimize your projects for real-time performance.

    Don’t miss out on this essential resource for anyone looking to master computer vision. Get your copy of “Building Computer Vision Projects with OpenCV 4 and C++” today!
    #Building #Computer #Vision #Projects #OpenCV #Escrivá,building computer vision projects with opencv 4 and c++

  • Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs

    Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs


    Price: $9.99
    (as of Dec 29,2024 00:26:43 UTC – Details)




    ASIN ‏ : ‎ B07R8P84J3
    Publisher ‏ : ‎ Apress; 1st ed. edition (April 26, 2019)
    Publication date ‏ : ‎ April 26, 2019
    Language ‏ : ‎ English
    File size ‏ : ‎ 8325 KB
    Text-to-Speech ‏ : ‎ Enabled
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 175 pages


    Are you interested in learning about computer vision and how it can be applied in real-world scenarios? Look no further than OpenCV, a powerful open-source computer vision library that allows you to work with images and videos.

    In this post, we will explore how you can use OpenCV in conjunction with deep learning techniques such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to build sophisticated computer vision applications.

    By the end of this post, you will have a solid understanding of how OpenCV can be used to preprocess and manipulate image data, as well as how to train and deploy deep learning models for tasks such as object detection, image classification, and image segmentation.

    So, if you’re ready to dive into the exciting world of computer vision and deep learning, stay tuned for our upcoming tutorials on how to get started with OpenCV!
    #Learn #Computer #Vision #OpenCV #Deep #Learning #CNNs #RNNs,rnn

  • Beginning Robotics with Raspberry Pi and Arduino: Using Python and OpenCV

    Beginning Robotics with Raspberry Pi and Arduino: Using Python and OpenCV


    Price: $22.39
    (as of Dec 28,2024 00:43:52 UTC – Details)




    ASIN ‏ : ‎ B08Y7K58DW
    Publisher ‏ : ‎ Apress; 2nd edition (March 3, 2021)
    Publication date ‏ : ‎ March 3, 2021
    Language ‏ : ‎ English
    File size ‏ : ‎ 12319 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 399 pages


    Are you interested in learning about robotics and programming? Look no further than our new course, “Beginning Robotics with Raspberry Pi and Arduino: Using Python and OpenCV.”

    In this course, you will learn the basics of robotics, programming, and computer vision using two popular microcontrollers – Raspberry Pi and Arduino. You will also learn how to use Python, a versatile programming language, and OpenCV, a powerful computer vision library, to create your own robotic projects.

    Whether you are a beginner or have some experience in programming and robotics, this course is perfect for anyone looking to dive into the exciting world of robotics. Join us today and start building your own robotic creations!

    Sign up now and unleash your creativity with Raspberry Pi and Arduino! #robotics #RaspberryPi #Arduino #Python #OpenCV #programming #computer vision #robotic projects.
    #Beginning #Robotics #Raspberry #Arduino #Python #OpenCV

  • Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs by Sunila G

    Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs by Sunila G



    Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs by Sunila G

    Price : 64.00

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    Computer vision is an exciting field that is revolutionizing industries such as healthcare, automotive, and retail. If you’re interested in learning how to use computer vision techniques to solve real-world problems, then “Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs” by Sunila G is the perfect book for you.

    This comprehensive guide will teach you how to use OpenCV, a powerful open-source computer vision library, to build image processing applications. You’ll learn how to apply deep learning techniques such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to analyze and interpret visual data.

    Whether you’re a beginner or an experienced developer looking to expand your skillset, this book will provide you with the knowledge and tools you need to succeed in the field of computer vision. So why wait? Start your journey to becoming a computer vision expert today with “Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs” by Sunila G.
    #Learn #Computer #Vision #OpenCV #Deep #Learning #CNNs #RNNs #Sunila

  • OpenCV: Computer Vision Projects with Python: Computer Vision Projects with Python: Develop computer vision applications with OpenCV

    OpenCV: Computer Vision Projects with Python: Computer Vision Projects with Python: Develop computer vision applications with OpenCV


    Price: $31.19
    (as of Dec 27,2024 08:06:25 UTC – Details)



    Computer vision is a rapidly growing field with a wide range of applications, from facial recognition and object detection to autonomous vehicles and medical imaging. OpenCV is a powerful open-source library that provides tools and algorithms for computer vision tasks, and it can be easily integrated with Python for developing applications.

    In this post, we will explore some interesting computer vision projects that you can create using OpenCV and Python. Whether you are a beginner or an experienced developer, these projects will help you improve your skills and deepen your understanding of computer vision.

    Some of the projects we will cover include:

    1. Face detection and recognition: Build a system that can detect and recognize faces in images or videos, using OpenCV’s pre-trained models.

    2. Object tracking: Create a program that can track the movement of objects in a video stream, such as a moving car or a person walking.

    3. Image segmentation: Develop an application that can segment an image into different regions or objects, based on their colors or textures.

    4. Optical character recognition (OCR): Build a system that can recognize and extract text from images, such as license plates or handwritten notes.

    5. Augmented reality: Create an AR application that overlays digital content on top of the real world, using OpenCV’s camera calibration and pose estimation tools.

    By working on these projects, you will not only learn how to use OpenCV and Python for computer vision tasks, but also gain valuable experience in developing real-world applications. So, grab your favorite IDE, install OpenCV, and start building amazing computer vision projects today!
    #OpenCV #Computer #Vision #Projects #Python #Computer #Vision #Projects #Python #Develop #computer #vision #applications #OpenCV