ISBN
9781789343687
Effective techniques for processing complex image data in real time using GPUs :
This book is a guide to explore how accelerating of computer vision applications using GPUs will help you develop algorithms that work on complex image data in real time. It will solve the problems you face while deploying these algorithms on embedded platforms with the help of development boards from NVIDIA such as the Jetson TX1, Jetson TX2, and Jetson TK1.
Author/Authors: Vaidya, Bhaumik
Pages: 380 | Published Date: 43369
Category: Data
ISBN
9781789341850
Expert techniques for advanced image analysis and effective interpretation of image data :
<p><b>Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks.</b></p> <h4>Key Features</h4> <ul><li>Practical coverage of every image processing task with popular Python libraries </li> <li>Includes topics such as pseudo-coloring, noise smoothing, computing image descriptors </li> <li>Covers popular machine learning and deep learning techniques for complex image processing tasks</li></ul> <h4>Book Description</h4> <p>Image processing plays an important role in our daily lives with various applications such as in social media (face detection), medical imaging (X-ray, CT-scan), security (fingerprint recognition) to robotics & space. This book will touch the core of image processing, from concepts to code using Python. </p> <p>The book will start from the classical image processing techniques and explore the evolution of image processing algorithms up to the recent advances in image processing or computer vision with deep learning. We will learn how to use image processing libraries such as PIL, scikit-mage, and scipy ndimage in Python. This book will enable us to write code snippets in Python 3 and quickly implement complex image processing algorithms such as image enhancement, filtering, segmentation, object detection, and classification. We will be able to use machine learning models using the scikit-learn library and later explore deep CNN, such as VGG-19 with Keras, and we will also use an end-to-end deep learning model called YOLO for object detection. We will also cover a few advanced problems, such as image inpainting, gradient blending, variational denoising, seam carving, quilting, and morphing. </p> <p>By the end of this book, we will have learned to implement various algorithms for efficient image processing.</p> <h4>What you will learn</h4> <ul><li>Perform basic data pre-processing tasks such as image denoising and spatial filtering in Python </li> <li>Implement Fast Fourier Transform (FFT) and Frequency domain filters (e.g., Weiner) in Python </li> <li>Do morphological image processing and segment images with different algorithms </li> <li>Learn techniques to extract features from images and match images </li> <li>Write Python code to implement supervised / unsupervised machine learning algorithms for image processing </li> <li>Use deep learning models for image classification, segmentation, object detection and style transfer</li></ul> <h4>Who this book is for</h4> <p>This book is for Computer Vision Engineers, and machine learning developers who are good with Python programming and want to explore details and complexities of image processing. No prior knowledge of the image processing techniques is expected.</p>
Author/Authors: Dey, Sandipan
Pages: 492 | Published Date: 43434
Category: Data
ISBN
9781788835138
Your guide to developing AI agents using deep reinforcement learning :
Walks through the hands-on process of building intelligent agents from the basics and all the way up to solving complex problems including playing Atari games and driving a car autonomously in the CARLA simulator. Discusses various learning environments and how to transform real-world problems into learning environments and solve using the agents.
Author/Authors: Palanisamy, Praveen
Pages: 254 | Published Date: 43312
Category: Data
ISBN
9781788997065
Connect things to create amazing IoT applications in minutes :
This book is targeted at any stakeholder working in the IoT sector who wants to understand how Blynk works and build exciting IoT projects. Prior understanding of Raspberry Pi, C/C++, and electronics is a must.
Author/Authors: Seneviratne, Pradeeka
Pages: 266 | Published Date: 43248
Category: IoT & Hardware
