September 2018
Intermediate to advanced
380 pages
9h 40m
English
Overview
In "Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA", you'll explore how to utilize GPUs to process complex image data in real time. This book integrates theory and practice, providing a step-by-step guide on leveraging OpenCV with CUDA for accelerated computer vision applications. By mastering the techniques in this book, you'll be able to create efficient and high-performing solutions.
What this Book will help me do
- Master GPU programming concepts with CUDA to enhance your computer vision capabilities.
- Implement object detection, tracking, and video analysis using OpenCV and CUDA.
- Leverage NVIDIA Jetson hardware to deploy real-time computer vision applications.
- Understand how to use PyCUDA for Python-based GPU computing tasks.
- Build and optimize complex image processing algorithms with advanced CUDA techniques.
Author(s)
None Vaidya is an expert in computer vision and parallel computing with a focus on leveraging GPUs for real-time data processing. They have extensive experience with OpenCV, CUDA, and NVIDIA-based development boards. Through a practical and approachable teaching style, None aims to make advanced GPU programming techniques accessible to all developers.
Who is it for?
This book is warmly suited for developers already familiar with computer vision and proficient in languages such as C or Python. It provides a deep dive into OpenCV and CUDA, ideal for professionals aiming to improve algorithm performance. Developers looking to implement or optimize real-time GPU-accelerated applications will find it valuable.
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