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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques for processing complex image data in real time using GPUs
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Learn from an experienced computer vision engineer and mentor
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Detalles de producto
- Explore leveraging GPU processing power with OpenCV and CUDA
- Enhance algorithm performance on embedded hardware platforms
- Integrate OpenCV with CUDA for practical applications
- Learn GPU programming with CUDA and OpenCV acceleration with GPUs
- Deploy OpenCV applications on NVIDIA Jetson TX1
- Understand PyCUDA for GPU acceleration and OpenCV with Python
| Publisher | Packt Publishing |
| Publication date | September 26, 2018 |
| Language | English |
| Print length | 380 pages |
| ISBN-10 | 1789348293 |
| ISBN-13 | 978-1789348293 |
| Item Weight | 1.44 pounds (650 grams) |
| Dimensions | 7.5 x 0.86 x 9.25 inches (19.1 x 2.2 x 23.5 cm) |
Who Should Buy?
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Computer Vision Engineers
Ideal for engineers seeking to enhance image processing speed through advanced GPU acceleration techniques with OpenCV and CUDA.
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Research & Development
Beneficial for R&D teams focused on developing innovative real-time image processing solutions in various applications.
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Machine Learning Practitioners
Useful for practitioners aiming to integrate GPU acceleration into their machine learning pipelines for image analysis tasks.
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Beginners in Programming
Not suitable for those new to programming as it assumes prior knowledge of CUDA and OpenCV concepts.
DESCRIPCIÓN DEL PRODUCTO
Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques for processing complex image data in real time using GPUs
About This Item
Product Title: Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective Techniques for Processing Complex Image Data in Real-Time Using GPUs Description: Are you interested in unlocking the full potential of computer vision? Look no further than "Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA" by Bhaumik Vaidya. This comprehensive guide offers effective techniques for processing complex image data in real-time using GPUs, providing you with the tools you need to take your computer vision projects to the next level. Written by an experienced computer vision engineer and mentor, Bhaumik Vaidya, this book is a valuable resource for both beginners and experienced professionals in the field. Vaidya has worked extensively on the OpenCV Library, solving various computer vision problems and pushing the boundaries of what is possible. With a background in teaching and extensive industry experience, Vaidya is well-equipped to explain complex concepts in an easy-to-understand manner.
Whether you are a student, researcher, or industry professional, this book will guide you through hands-on examples and practical exercises to help you master GPU-accelerated computer vision techniques. In this book, Vaidya explores the power of GPU acceleration in computer vision, with a focus on the CUDA programming language. You will learn how to leverage the OpenCV CUDA module and optimize your algorithms for maximum performance. By harnessing the parallel processing capabilities of GPUs, you will be able to process image data faster and more efficiently than ever before. The book covers a wide range of topics, including CUDA optimization for computer vision, GPU-accelerated computer vision algorithms, and hands-on OpenCV and CUDA programming.
With Vaidya as your guide, you will gain a deep understanding of the underlying hardware architectures and how to utilize them effectively in your computer vision projects. "Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA" also includes real-world examples and case studies, allowing you to see these techniques in action. Whether you are working on object detection, image recognition, or video processing, this book will provide you with the knowledge and skills needed to tackle even the most challenging computer vision tasks. Take your computer vision projects to the next level with "Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA." Order your copy today and unlock the full potential of GPU acceleration in computer vision.
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C++ Editorial Review
Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA is a concise and informative book that provides a detailed introduction to image analysis using CUDA and OpenCV. The book covers various topics, including environment setup, basic concepts, and usage patterns. The author provides clear explanations of CUDA and OpenCV, making it suitable for readers with some knowledge of C/C++. The book also includes several detailed examples, demonstrating how to combine these technologies effectively for real-time image processing. The techniques and methods explained in the book are not only applicable to the Jetson Tx1, but also to other Nvidia GPUs. One reviewer mentioned that the book helped them gain a better understanding of object recognition for silicon disk defect analysis and boosted their processing speed by several hundred percent. They also expressed their eagerness to share the information with department managers. While the book covers the essentials, it does not provide the most up-to-date or advanced information on CUDA and OpenCV. For readers seeking more advanced or recent information, referring to the free documentation provided by NVIDIA may be necessary.
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ventajas
- Concise introduction to CUDA and OpenCV
- Detailed examples provided
- Applicable to various Nvidia GPUs
Contras
- Limited information on advanced or recent topics in CUDA and OpenCV
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características y beneficios
- Experienced computer vision engineer and mentor
- Extensive work on OpenCV Library
- University gold medalist in masters
- PhD in accelerating computer vision algorithms
- Background in teaching and guiding projects in computer vision
- Published research papers in reputable journals
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