Hands On Opencv 4 With Python

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Hands On Opencv 4 With Python

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Author : Sourav Johar
language : en
Publisher:
Release Date : 2018

Hands On Opencv 4 With Python written by Sourav Johar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.

"The scope of computer vision has been booming in the past few years and it has become a highly sought-after skill. There are tons of real-life problems just waiting to be solved with computer vision. If you want to get your hands dirty with this technology and use it to craft your own, unique solutions, then look no further because this course is made for you! The course is designed so you'll learn as you develop interesting apps. First you'll learn to set up your environment, before building five exciting applications. We'll introduce you to all necessary concepts and slowly transition into the field of Artificial Intelligence (AI) and deep learning such as classification and object detection. This course will not only help you use OpenCV 4 but also apply your computer vision and AI skills to your projects. All you need is a basic working knowledge of Python and you're good to go!"--Resource description page.

Opencv 4 With Python Blueprints

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Author : Dr. Menua Gevorgyan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-03-20

Opencv 4 With Python Blueprints written by Dr. Menua Gevorgyan 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 2020-03-20 with Computers categories.

Get to grips with traditional computer vision algorithms and deep learning approaches, and build real-world applications with OpenCV and other machine learning frameworks Key FeaturesUnderstand how to capture high-quality image data, detect and track objects, and process the actions of animals or humansImplement your learning in different areas of computer visionExplore advanced concepts in OpenCV such as machine learning, artificial neural network, and augmented realityBook Description OpenCV is a native cross-platform C++ library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. This book will get you hands-on with a wide range of intermediate to advanced projects using the latest version of the framework and language, OpenCV 4 and Python 3.8, instead of only covering the core concepts of OpenCV in theoretical lessons. This updated second edition will guide you through working on independent hands-on projects that focus on essential OpenCV concepts such as image processing, object detection, image manipulation, object tracking, and 3D scene reconstruction, in addition to statistical learning and neural networks. You’ll begin with concepts such as image filters, Kinect depth sensor, and feature matching. As you advance, you’ll not only get hands-on with reconstructing and visualizing a scene in 3D but also learn to track visually salient objects. The book will help you further build on your skills by demonstrating how to recognize traffic signs and emotions on faces. Later, you’ll understand how to align images, and detect and track objects using neural networks. By the end of this OpenCV Python book, you’ll have gained hands-on experience and become proficient at developing advanced computer vision apps according to specific business needs. What you will learnGenerate real-time visual effects using filters and image manipulation techniques such as dodging and burningRecognize hand gestures in real-time and perform hand-shape analysis based on the output of a Microsoft Kinect sensorLearn feature extraction and feature matching to track arbitrary objects of interestReconstruct a 3D real-world scene using 2D camera motion and camera reprojection techniquesDetect faces using a cascade classifier and identify emotions in human faces using multilayer perceptronsClassify, localize, and detect objects with deep neural networksWho this book is for This book is for intermediate-level OpenCV users who are looking to enhance their skills by developing advanced applications. Familiarity with OpenCV concepts and Python libraries, and basic knowledge of the Python programming language are assumed.

Learning Opencv 4 Computer Vision With Python

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Author : Joseph Howse
language : en
Publisher:
Release Date : 2020-02-20

Learning Opencv 4 Computer Vision With Python written by Joseph Howse and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-20 with categories.

Updated for OpenCV 4 and Python 3, this book covers the latest on depth cameras, 3D tracking, augmented reality, and deep neural networks, helping you solve real-world computer vision problems with practical code Key Features Build powerful computer vision applications in concise code with OpenCV 4 and Python 3 Learn the fundamental concepts of image processing, object classification, and 2D and 3D tracking Train, use, and understand machine learning models such as Support Vector Machines (SVMs) and neural networks Book Description Computer vision is a rapidly evolving science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You'll be able to put theory into practice by building apps with OpenCV 4 and Python 3. You'll start by understanding OpenCV 4 and how to set it up with Python 3 on various platforms. Next, you'll learn how to perform basic operations such as reading, writing, manipulating, and displaying still images, videos, and camera feeds. From taking you through image processing, video analysis, and depth estimation and segmentation, to helping you gain practice by building a GUI app, this book ensures you'll have opportunities for hands-on activities. Next, you'll tackle two popular challenges: face detection and face recognition. You'll also learn about object classification and machine learning concepts, which will enable you to create and use object detectors and classifiers, and even track objects in movies or video camera feed. Later, you'll develop your skills in 3D tracking and augmented reality. Finally, you'll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age. By the end of this book, you'll have the skills you need to execute real-world computer vision projects. What you will learn Install and familiarize yourself with OpenCV 4's Python 3 bindings Understand image processing and video analysis basics Use a depth camera to distinguish foreground and background regions Detect and identify objects, and track their motion in videos Train and use your own models to match images and classify objects Detect and recognize faces, and classify their gender and age Build an augmented reality application to track an image in 3D Work with machine learning models, including SVMs, artificial neural networks (ANNs), and deep neural networks (DNNs) Who this book is for If you are interested in learning computer vision, machine learning, and OpenCV in the context of practical real-world applications, then this book is for you. This OpenCV book will also be useful for anyone getting started with computer vision as well as experts who want to stay up-to-date with OpenCV 4 and Python 3. Although no prior knowledge of image processing, computer vision or machine learning is required, familiarity with basic Python programming is a must.

Hands On Computer Vision With Opencv 4 Keras And Tensorflow 2

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Author : Rajeev Ratan
language : en
Publisher:
Release Date : 2020

Hands On Computer Vision With Opencv 4 Keras And Tensorflow 2 written by Rajeev Ratan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.

Build your own computer vision deep learning classifiers About This Video Gain a solid understanding of core computer vision concepts using OpenCV, and utilize deep learning to create advanced computer vision models Learn quickly without being bogged down by complex mathematical theory Use the latest libraries including the latest version of OpenCV 4, Keras, and TensorFlow 2.0-all running on Python 3.8 In Detail Do you want to understand how computers see images and videos? Using artificial intelligence, we can enable computers and smart devices to interpret what is in an image (computer vision). This can provide massive benefits when it comes to automating tasks for which images are vital, such as examining medical images or enabling self-driving cars to see. Already, these applications are creating a massive industry around computer vision-one that is set to grow rapidly, with some sources predicting that it will be worth over $43 billion by 2023. This course provides you with a perfect foundation from which to understand computer vision and supports your professional development in this fast-growing arena. We first learn the basic concepts and explore these using OpenCV4, the most popular open-source computer vision library. Next, we explore using Machine Learning in computer vision, including the use of deep learning (using TensorFlow 2.0 and Keras) to implement advanced image classifiers. This course is designed to help data scientists, and those who already have some familiarity with ML and DL (and experience with Python, Keras, and TensorFlow), to gain a solid understanding of OpenCV and train their own computer vision deep learning models.

Hands On Ml Projects With Opencv Master Computer Vision And Machine Learning Using Opencv And Python

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Author : Mugesh S.
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2023-08-09

Hands On Ml Projects With Opencv Master Computer Vision And Machine Learning Using Opencv And Python written by Mugesh S. and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-09 with Computers categories.

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. Book 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 you will 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. 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. Table of ContentsChapter 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

Hands On Ml Projects With Opencv

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Author : Mugesh S.
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2023-08-10

Hands On Ml Projects With Opencv written by Mugesh S. and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-10 with Computers categories.

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

Mastering Opencv With Python Use Numpy Scikit Tensorflow And Matplotlib To Learn Advanced Algorithms For Machine Learning Through A Set Of Practical Projects

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Author : Ayush Vaishya
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2023-11-16

Mastering Opencv With Python Use Numpy Scikit Tensorflow And Matplotlib To Learn Advanced Algorithms For Machine Learning Through A Set Of Practical Projects written by Ayush Vaishya and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-16 with Computers categories.

Unlocking Visual Insights: OpenCV Made Simple and Powerful. Key Features ● OpenCV Mastery: Harness the full potential of OpenCV. ● Comprehensive Coverage: From fundamentals to advanced techniques. ● Practical Exercises: Apply knowledge through hands-on tasks. Book Description "Mastering OpenCV with Python" immerses you in the captivating realm of computer vision, with a structured approach that equips you with the knowledge and skills essential for success in this rapidly evolving field. From grasping the fundamental concepts of image processing and OpenCV to mastering advanced techniques such as neural networks and object detection, you will gain a comprehensive understanding. Each chapter is enriched with hands-on exercises and real-world projects, ensuring the acquisition of practical skills that can be immediately applied in your professional journey. This book not only elevates your technical proficiency but also prepares you for a rewarding career. The technological job landscape is constantly evolving, and professionals who can harness the potential of computer vision are in high demand. By mastering the skills and insights contained within these pages, you will be well-prepared to explore exciting career opportunities, ranging from machine learning engineering to computer vision research. This book is your ticket to a future filled with innovation and professional advancement within the dynamic world of computer vision. What you will learn ● Master Image Processing and Machine Learning with OpenCV using advanced Tools and Libraries. ● Create Real-World Projects with Hands-On Experience. ● Explore Machine Learning for Computer Vision. ● Develop Confidence in Practical Computer Vision Projects. ● Conquer Real-World Image Processing Challenges. ● Apply Computer Vision Across Diverse Industries. ● Boost Your Career in Computer Vision. ● Become an Expert in Computer Vision for Career Advancement. Who is this book for? This beginner-friendly book in computer vision requires no prior experience, making it accessible to newcomers. While a basic programming understanding is helpful, it's designed to guide individuals from diverse backgrounds into the captivating realms of AI, computer vision, and image processing. It's equally valuable for aspiring tech professionals, students, and enthusiasts seeking rewarding careers and knowledge in these cutting-edge fields. Table of Contents 1. Introduction to Computer Vision 2. Getting Started with Images 3. Image Processing Fundamentals 4. Image Operations 5. Image Histograms 6. Image Segmentation 7. Edges and Contours 8. Machine Learning with Images 9. Advanced Computer Vision Algorithms 10. Neural Networks 11. Object Detection Using OpenCV 12. Projects Using OpenCV Index

Learn Opencv With Python By Examples

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Author : James Chen
language : en
Publisher:
Release Date : 2023-05

Learn Opencv With Python By Examples written by James Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05 with categories.

Artificial Intelligence Learning Facilitators

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Author : Fadi Al-Turjman
language : en
Publisher: CRC Press
Release Date : 2025-10-28

Artificial Intelligence Learning Facilitators written by Fadi Al-Turjman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-28 with Education categories.

Artificial Intelligence Learning Facilitators: Creating Smart Education Systems delves into the various AI-based techniques, such as machine learning and natural language processing, that can help in automating management tasks such as lecture preparation, students’ performance evaluation, and predictive performance assessment. It highlights the importance of AI in handling the increasing learning complexities. The book explores the use of AI-based virtual assistants and chatbots in enhancing teaching services for students and instructors. It also discusses the potential of AI in creating personalized and targeted learning experiences. The centerpiece of the book is a presentation of the learning and teaching system, AI Prof. DUX. The use cases cover such scenarios as: Question generation for quizzes and exams The development and implementation of lecture scheduling The lecture notes’ generator Examination platform Lecture video link generation Classroom chat platform Courses management The book is an exploration of the crucial role of AI as a game-changer in educational transformation. It emphasizes how AI can positively impact various aspects of smart education systems.

Proceedings Of The International Conference On Artificial Intelligence And Cloud Icaic 25

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Author :
language : en
Publisher: Leilani Katie Publication
Release Date : 2025-05-17

Proceedings Of The International Conference On Artificial Intelligence And Cloud Icaic 25 written by and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-17 with Computers categories.

Dr.A.Bamini, Assistant Professor and Head, Department of Computer Applications, The Standard Fireworks Rajaratnam College for Women (Autonomous), Sivakasi, Tamil Nadu, India. Mrs.P.Muthulakshmi, Assistant Professor, Department of Computer Applications, The Standard Fireworks Rajaratnam College for Women (Autonomous), Sivakasi, Tamil Nadu, India. Mrs.V.Vanthana, Assistant Professor, Department of Computer Applications, The Standard Fireworks Rajaratnam College for Women (Autonomous), Sivakasi, Tamil Nadu, India.