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OpenCV 4 Computer Vision Application Programming Cookbook: Build complex computer vision applications with OpenCV and C++, 4th Edition
MNT 220600
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Discover interesting recipes to help you understand the concepts of object detection, image processing, and facial detection
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What Stands Out
Бүтээгдэхүүний дэлгэрэнгүй мэдээлэл
- Explore OpenCV 4's latest features and APIs for building computer vision algorithms
- Discover 70 self-contained tutorials addressing common pain points for CV developers
- Learn to manipulate pixels, process images, and detect interest points in images
- Understand deep learning concepts such as face and object detection
- Ideal for CV developers and C++ programmers looking to enhance their skills with OpenCV
- Covers topics from image manipulation and processing to advanced features in OpenCV
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
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Students & Learners
Perfect for those studying computer vision or looking to enhance their programming skills with practical examples.
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Researchers
Ideal for researchers needing to implement computer vision algorithms for projects and experiments using OpenCV.
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Developers
Great for software developers seeking to build complex computer vision applications using the OpenCV library in C++.
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Beginners
Not suitable for absolute beginners without prior programming experience or understanding of computer vision concepts.
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Casual Users
Not ideal for users looking for quick, simple applications or casual use of computer vision technologies.
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Non-technical Individuals
Not appropriate for those without a technical background in programming or computer vision who may struggle with content.
БАРААНЫ ТАЙЛБАР
OpenCV 4 Computer Vision Application Programming Cookbook: Build complex computer vision applications with OpenCV and C++, 4th Edition
Хэрэглэгчийн асуулт ба хариултууд
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Асуулт:
What is OpenCV and how can it be used?
Хариулт: OpenCV, or Open Source Computer Vision Library, is a powerful library designed to help developers build complex computer vision applications. It provides tools for image processing, video analysis, and machine learning, making it suitable for projects like facial recognition, object detection, and automated surveillance. By leveraging OpenCV, you can streamline your development process, reduce coding errors, and execute robust algorithms efficiently. -
Асуулт:
Who is the target audience for the OpenCV 4 Computer Vision Application Programming Cookbook?
Хариулт: The target audience for this cookbook includes software developers, data scientists, and anyone interested in computer vision who wants to enhance their skills. Whether you're a beginner looking to learn the basics or an experienced developer aiming to implement advanced features in real-world applications, this book offers a comprehensive guide filled with practical recipes and examples. It's perfect for anyone seeking to build innovative applications using OpenCV. -
Асуулт:
What edition is the OpenCV 4 Computer Vision Application Programming Cookbook?
Хариулт: The OpenCV 4 Computer Vision Application Programming Cookbook is currently available in its 4th edition. This edition has been updated to incorporate the latest enhancements in OpenCV 4, including new modules and functionalities that improve performance and usability. It features updated recipes that reflect current best practices, ensuring that readers have access to the most effective techniques in the field of computer vision. -
Асуулт:
What types of projects can I build using this cookbook?
Хариулт: This cookbook provides numerous projects that you can develop using OpenCV, such as creating image filters, building object detection systems, face recognition applications, and video processing tools. Each recipe included not only guides you step-by-step but also explains the underlying concepts, enabling you to customize and extend the projects. This practical approach allows you to gain hands-on experience relevant to various domains, including robotics, security, and augmented reality. -
Асуулт:
Does the cookbook require prior programming experience?
Хариулт: While a basic understanding of programming concepts is beneficial, the OpenCV 4 Computer Vision Application Programming Cookbook is designed to cater to a wide range of skill levels. Beginners will find clear explanations and examples to get started, while experienced programmers can delve into advanced techniques. The cookbook encourages learning through practical applications, making it a valuable resource whether you are initiating your journey or are already well-versed in computer vision. -
Асуулт:
What programming language is primarily used in this cookbook?
Хариулт: The primary programming language used in the OpenCV 4 Computer Vision Application Programming Cookbook is C++. OpenCV itself is written in C++, allowing developers to leverage the full potential of the library for high-performance applications. However, the concepts can also be adapted to Python, making it easier for developers familiar with that language to apply the knowledge. This flexibility enhances your ability to build effective computer vision solutions in your preferred programming environment. -
Асуулт:
Are there any prerequisites before starting this cookbook?
Хариулт: Before diving into this cookbook, it is recommended to have a basic grasp of programming concepts, particularly in C++ or Python. Familiarity with libraries and frameworks will also be helpful in understanding the setup and execution of the projects. If you’re new to computer vision, reading introductory materials or tutorials may provide a solid foundation. Being comfortable with software development tools will enable you to follow along and implement the projects effectively. -
Асуулт:
What kind of support is offered for readers of this cookbook?
Хариулт: Readers of the OpenCV 4 Computer Vision Application Programming Cookbook can often find community support and resources from online forums, GitHub repositories, and dedicated OpenCV communities. The authors may also provide additional insights through their websites or social media platforms. Engaging in these communities allows you to discuss challenges, share successes, and gain feedback on your projects, thereby enriching your learning experience and fostering collaboration. -
Асуулт:
Can I apply OpenCV techniques to real-world applications?
Хариулт: Yes, OpenCV techniques can be applied to a wide range of real-world applications across various industries. This includes automotive applications like self-driving cars, healthcare innovations such as medical imaging analysis, and entertainment through augmented reality experiences. By mastering the recipes in this cookbook, you will acquire the skills to tackle practical challenges and implement computer vision solutions that address specific needs in these fields. -
Асуулт:
Where can I buy OpenCV 4 Computer Vision Application Programming Cookbook in Mongolia?
Хариулт: You can purchase the OpenCV 4 Computer Vision Application Programming Cookbook through Ubuy in Mongolia. Ubuy offers a seamless shopping experience, comprehensive product selection, and reliable shipping services. Shopping through Ubuy ensures you can easily find, compare, and order this essential resource for enhancing your computer vision skills.
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Энэ бараанд шүүмж өгөх
Бусад хэрэглэгчидтэй санал бодлоо хуваалцана уу
Давуу тал
- Comprehensive coverage of computer vision topics
- Hands-on projects for practical learning
- Updated with latest OpenCV features
- Accessible for beginners and experts
- Clear explanations and code examples
Сул талууд
- Some advanced topics may be complex
Product Price History
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MNT 220600
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Онцлог & Давуу талууд
- Explore latest features and APIs in OpenCV 4
- Build robust and fail-safe vision for your applications
- Learn detecting, describing, and matching interest points
- Master deep learning concepts such as face and object detection
- Develop computer vision algorithms with machine learning capabilities
- Cover advanced features of OpenCV