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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
90% من المشترين سيوصون بهذا المنتج لصديق
OMR 27
تفاصيل السعر
باستثناء رسوم الشحن والجمارك ( سيتم احتساب رسوم الشحن والجمارك عند إتمام الشراء )
*سيتم استيراد جميع العناصر من أمريكا
كمية:
تعمل يوباي جاهدة لحماية أمنك وخصوصيتك. يضمن نظام أمان الدفع المتقدم لدينا السرية من خلال تشفير معلوماتك أثناء النقل باستخدام بروتوكولات AES (معايير التشفير المتقدمة) وSSL (طبقة المنافذ الآمنة). تفاصيل الدفع الخاصة بك آمنة بنسبة %100 لأننا لا نشارك تفاصيل الدفع الخاصة بك مع بائعين تابعين لجهات خارجية
Learn from an experienced computer vision engineer and mentor
شحن
سريع
استرجاع
مجاني*
تغليف آمن
منتجات أصلية %100
الامتثال لمعيار PCI DSS
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تفاصيل المنتج
- 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) |
من يجب أن يشتري؟
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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.
وصف المنتج
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.
Product Buying Guide
Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA is a comprehensive guide that enables developers working with OpenCV to leverage GPU processing for handling complex image data in real time. This book provides practical insights into integrating OpenCV with CUDA to enhance the performance of computer vision applications.
Product Specifications
- Title: Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
- Authors: Authors not given
- Publisher: Publisher not given
- Publication Date: Not specified
- Language: English
- Pages: Not specified
- Format: Paperback, e-book
- ISBN-10: Not specified
- ISBN-13: Not specified
Key Features
- Explore examples to leverage the GPU processing power with OpenCV and CUDA
- Enhance the performance of algorithms on embedded hardware platforms
- Discover C++ and Python libraries for GPU acceleration
Usage Scenarios
- Developers working with OpenCV and seeking to enhance the processing of complex image data in real time
- Individuals interested in leveraging GPU processing for computer vision applications
Usage Scenarios
Competitors' information is not available at the moment.
Some User Review
- Users have praised the practical examples and hands-on approach provided in the book, making it easier to understand and implement CUDA for OpenCV acceleration.
- Some users have highlighted the value of the book in explaining GPU programming with CUDA, which is essential for those new to working with GPUs.
Competitors
- The price range for this book in the target location falls within the average range for technical guides and programming books.
- The digital version might be available at a lower price, offering a cost-effective option for readers.
Buying Considerations
- Consider the programming language preferences (C++ or Python) when assessing the suitability of this book for individual needs.
- Take into account the relevance of the content to specific computer vision and GPU acceleration requirements.
Conclusion
Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA is a valuable resource for developers aiming to optimize the processing of complex image data in real time by harnessing the power of GPU acceleration. With comprehensive insights into integrating OpenCV with CUDA, it equips users with practical knowledge and examples to enhance the performance of computer vision applications.
عرض أقلHands-On GPU-Accelerated Computer Vision with OpenCV and CUDA is a comprehensive guide that enables developers working with OpenCV to leverage GPU processing for handling complex image data in real time. This book provides practical insights into integrating OpenCV with CUDA to enhance the performance of computer vision applications. Continue Reading
أسئلة العملاء & الإجابات
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سؤال:
كيف تتسوق Hands-On GPU-Accelerated Computer Vision with OpenCV عبر الانترنت من يوباى?
إجابه: من السهل التسوق في Hands-On GPU-Accelerated Computer Vision with OpenCV عبر الإنترنت من يوباي. كل ما عليك فعله هو البحث عن المنتج واختيار طريقة الشحن الخاصة بك أثناء الدفع وسيتم توصيله الى عنوانك -
سؤال:
هل Hands-On GPU-Accelerated Computer Vision with OpenCV متوفر للتسوق عبر الإنترنت في Oman؟
إجابه: نعم ، في يوباي Oman هذا المنتج متاح لك للتسوق بسعر مناسب. Hands-On GPU-Accelerated Computer Vision with OpenCV غير متوفر محليًا ولكن يمكنك الوثوق بنا بخدماتنا للشحن السريع. -
سؤال:
كم من الوقت يستغرق الحصول على المنتج بعد تقديم الطلب؟
إجابه: يختلف وقت تسليم المنتج الذي طلبته حسب ما طلبته وطريقة الشحن التي اخترتها. يتم ذكر وقت التسليم المقدر أثناء عملية الدفع ، لذا كن مرتاحًا أثناء التسوق.
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.
مراجعات العملاء وتقييماتهم
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5 نجمة
100%
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4 نجمة
0%
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3 نجمة
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2 نجمة
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1 نجمة
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أضف تقييم لهذا المنتج
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إيجابيات
- Concise introduction to CUDA and OpenCV
- Detailed examples provided
- Applicable to various Nvidia GPUs
سلبيات
- Limited information on advanced or recent topics in CUDA and OpenCV
تاريخ سعر المنتج
معلومات مهمة
- القيود: بالنسبة للمنتجات التي يتم شحنها دولياً، يُرجى ملاحظة أن أي ضمان من الشركة المصنعة قد لا يكون صالحاً؛ قد لا تتوفر خيارات خدمة الشركة المصنعة؛ قد لا تكون أدلة المنتج والتعليمات وتحذيرات السلامة مكتوبة بلغة بلد المقصد؛ قد لا يتم تصميم المنتجات (والمواد المصاحبة لها) وفقاً لمعايير بلد الوجهة والمواصفات ومتطلبات الملصقات؛ وقد لا تتوافق المنتجات مع الجهد الكهربي المستخدم في بلد الوجهة والمعايير الكهربائية الأخرى (تتطلب استخدام محوّل كهربي أو جهاز تحويل إذا كان ذلك مناسباً). المستلم مسؤول عن ضمان إمكانية استيراد المنتج بشكل قانوني إلى بلد الوجهة. عند الطلب من يوباي أو الشركات التابعة لها، يكون المستلم هو المستورد المسجل ويجب أن يلتزم بجميع القوانين واللوائح الخاصة ببلد الوجهة.
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OMR 27
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كمية:
نوفر لك مدفوعات مشفّرة، وحماية متكاملة للمشتري، مع الالتزام بمعايير PCI DSS وشهادة ISO 27001:2022 لضمان أعلى مستويات الأمان في كل عملية شراء.
المميزات والفوائد
- 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
ضمان Ubuy
تسوّق بثقة مع منتجات أصلية %100، ومدفوعات آمنة متوافقة مع معيار PCI DSS، وحماية بيانات معتمدة وفق ISO 27001، وشحن دولي سريع، وإرجاع مجاني*، وتغليف آمن لكل طلب.