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Learning OpenCV 5 Computer Vision with Python - Fourth Edition
Author Joseph Howse , Joe Minichino
Updated for OpenCV 5, this book covers the latest on depth cameras, 3D navigation, deep neural networks, and Cloud computing, helping you solve real-world computer vision problems with practical codeKey FeaturesBuild powerful computer vision applications in concise code with OpenCV 5 and Python 3Lea....
Release Date 2023/02 -
Computer Vision Projects with PyTorch: Design and Develop Production-Grade Models
Author Akshay Kulkarni , Adarsha Shivananda , Nitin Ranjan Sharma
Design and develop end-to-end, production-grade computer vision projects for real-world industry problems. This book discusses computer vision algorithms and their applications using PyTorch.The book begins with the fundamentals of computer vision: convolutional neural nets, RESNET, YOLO, data augme....
Release Date 2022/07 -
Practical Machine Learning for Computer Vision
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with prove.... -
Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras
Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems. This book will bring int.... -
Modern Computer Vision with PyTorch
Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questionsKey FeaturesImplement solutions to 50 real-world computer vision applications using PyTorchUnderstand the theory and working mechanisms of neural netw.... -
Hands-On Vision and Behavior for Self-Driving Cars
A practical guide to learning visual perception for self-driving cars for computer vision and autonomous system engineersKey FeaturesExplore the building blocks of the visual perception system in self-driving carsIdentify objects and lanes to define the boundary of driving surfaces using open-source.... -
Advanced Machine Vision Paradigms for Medical Image Analysis
Author Tapan K. Gandhi , Siddhartha Bhattacharyya , Sourav De , Debanjan Konar , Sandip Dey
Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tas....
Release Date 2020/08 -
Applied Deep Learning and Computer Vision for Self-Driving Cars
Author Sumit Ranjan , Dr. S. Senthamilarasu
Explore self-driving car technology using deep learning and artificial intelligence techniques and libraries such as TensorFlow, Keras, and OpenCVKey FeaturesBuild and train powerful neural network models to build an autonomous carImplement computer vision, deep learning,....
Release Date 2020/08 -
Author Shamshad Ansari
Apply computer vision and machine learning concepts in developing business and industrial applications using a practical, step-by-step approach. The book comprises four main sections starting with setting up your programming environment and configuring your computer....
Release Date 2020/07 -
Author Hafsa Asad , Vishwesh Ravi Shrimali , Nikhil Singh
Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behaviorKey FeaturesUnderstand OpenCV and select the right algorithm to solve real-world problems Discover techni....
Release Date 2020/07 -
Deep Learning for Computer Vision with SAS
Author Robert Blanchard
Discover deep learning and computer vision with SAS!Deep Learning for Computer Vision with SAS®: An Introduction introduces the pivotal components of deep learning. Readers will gain an in-depth understanding of how to build deep feedforward and convolutional neural netwo....
Release Date 2020/06 -
Mastering Computer Vision with TensorFlow 2.x
Author Krishnendu Kar
Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming languageKey FeaturesGain a fundamental understanding of advanced computer vision and neural network models in use today Cover tasks such as low-level vi....
Release Date 2020/05 -
OpenCV 4 with Python Blueprints - Second Edition
Author Dr. Menua Gevorgyan , Arsen Mamikonyan , Michael Beyel
Get to grips with traditional computer vision algorithms and deep learning approaches, and build real-world applications with OpenCV and other machine learning frameworksKey FeaturesUnderstand how to capture high-quality image data, detect and track objects, and process t....
Release Date 2020/03 -
Learning OpenCV 4 Computer Vision with Python 3
Author Joseph Howse , Joe Minichino
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 codeKey FeaturesBuild powerful computer vision applications in c....
Release Date 2020/02 -
Machine Learning for OpenCV 4 - Second Edition
Author Michael Beyeler , Vishwesh Ravi Shrimali , Aditya Sharma
A practical guide to understanding the core machine learning and deep learning algorithms, and implementing them to create intelligent image processing systems using OpenCV 4Key FeaturesGain insights into machine learning algorithms, and implement them using OpenCV....
Release Date 2019/09 -
Author Dana K. Dwyer
Money cannot buy happiness, but a solid, profitable business can enable you to wake up each morning looking forward to the work you have to do. If you dream of owning your own small business because you want autonomy, freedom, meaning, and purpose, this book is for....
Release Date 2019/08 -
Multimodal Scene Understanding
Author Vittorio Murino , Bodo Rosenhahn , Michael Ying Yang
Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sour....
Release Date 2019/07 -
OpenCV 4 Computer Vision Application Programming Cookbook - Fourth Edition
Author Robert Laganiere , David Millan Escriva
Discover interesting recipes to help you understand the concepts of object detection, image processing, and facial detectionKey FeaturesExplore the latest features and APIs in OpenCV 4 and build computer vision algorithms Develop effective, robust, and fail-safe vi....
Release Date 2019/05 -
Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs
Author Sunila Gollapudi
Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examples. The author starts wi....
Release Date 2019/04 -
Mastering OpenCV 4 with Python
Author Alberto Fernandez Villan
Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality.Key FeaturesDevelop your computer vision skills by mastering algorithms in Open Source Computer ....
Release Date 2019/03 -
Building Computer Vision Projects with OpenCV 4 and C++
Author Roy Shilkrot , Vinicius G. Mendonca , Prateek Joshi , David Millan Escriva
Delve into practical computer vision and image processing projects and get up to speed with advanced object detection techniques and machine learning algorithmsKey FeaturesDiscover best practices for engineering and maintaining OpenCV projects Explore important dee....
Release Date 2019/03 -
Hands-On Java Deep Learning for Computer Vision
Author Klevis Ramo
Leverage the power of Java and deep learning to build production-grade Computer Vision applicationsKey FeaturesBuild real-world Computer Vision applications using the power of neural networks Implement image classification, object detection, and face recognition K....
Release Date 2019/02 -
Noise and Torsional Vibration Analysis of Hybrid Vehicles
Author Amir Khajepour , Yechen Qin , Hong Wang , Yanjun Huang , Xiaolin Tang
Thanks to the potential of reducing fuel consumption and emissions, hybrid electric vehicles (HEVs) have been attracting more and more attention from car manufacturers and researchers. Due to involving two energy sources, i.e., engine and battery, the powertrain in....
Release Date 2018/12 -
Computer Vision Projects with OpenCV and Python 3
Author Matthew Rever
Gain a working knowledge of advanced machine learning and explore Python's powerful tools for extracting data from images and videosKey FeaturesImplement image classification and object detection using machine learning and deep learning Perform image classificatio....
Release Date 2018/12 -
Learn OpenCV 4 by Building Projects - Second Edition
Author Prateek Joshi , Vinicius G. Mendonca , David Millan Escriva
Explore OpenCV 4 to create visually appealing cross-platform computer vision applicationsKey FeaturesUnderstand basic OpenCV 4 concepts and algorithms Grasp advanced OpenCV techniques such as 3D reconstruction, machine learning, and artificial neural networks Work ....
Release Date 2018/11 -
Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
Author Bhaumik Vaidya
Discover how CUDA computing platform allows OpenCV to handle rapidly growing computer and machine vision complex image data processing by accessing the power of GPUAbout This BookPractical examples to leverage the GPU processing power with OpenCV and CUDAMaximise t....
Release Date 2018/09 -
Author Scott Krig
In Synthetic Vision: Using Volume Learning and Visual DNA, a holistic model of the human visual system is developed into a working model in C++, informed by the latest neuroscience, DNN, and computer vision research. The author’s synthetic visual pathway model incl....
Release Date 2018/08 -
Developing and Executing Your Vision
Author MIT Sloan Management Review
Leaders have to be strategists, negotiators, and visionaries. This collection of articles from MIT Sloan Management Review looks at the particular challenges of keeping an organization’s vision on track across business units when there’s dissent among t....
Release Date 2018/07 -
Hands-On Algorithms for Computer Vision
Author Amin Ahmadi Tazehkandi
Create powerful, accurate, and real-time Computer Vision applications using a perfect blend of algorithms and filters. Also learn about object tracking and foreground extractions with a variety of new filters and algorithms.Key Features Filter, transform, and manip....
Release Date 2018/07