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86408796
Raspberry Pi Computer Vision Programming -Second Edition: Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3
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Item #:
86408796
QAR 178
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Equip yourself with the skills required to successfully design and implement your own OpenCV, Raspberry Pi, and Python-based computer vision projects.
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What Stands Out
Comprehensive Coverage
This edition provides a thorough exploration of computer vision techniques, leveraging Raspberry Pi, OpenCV, and Python 3, ensuring learners grasp essential concepts and practical implementations effectively.
Hands-On Projects
Includes interactive projects that allow readers to apply concepts in real-time, enhancing understanding and providing practical experience in creating functional computer vision applications with Raspberry Pi.
Updated Content
Second edition features updated libraries and coding practices, ensuring compatibility with the latest technologies, offering readers modern techniques and solutions to common computer vision challenges.
Product Details
| Publisher | Packt Publishing; 2nd ed. edition (June 29, 2020) |
| Language | English |
| Paperback | 306 pages |
| ISBN-10 | 1800207212 |
| ISBN-13 | 978-1800207219 |
| Item Weight | 1.19 pounds (540 grams) |
| Dimensions | 9.25 x 7.52 x 0.64 inches (23.5 x 19.1 x 1.6 cm) |
Who Should Buy?
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Tech Enthusiasts
Ideal for hobbyists eager to explore and implement computer vision projects with Raspberry Pi and Python.
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Students Learning
Perfect for students studying computer science who want practical experience with computer vision and programming.
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Developers Transitioning
Helpful for software developers aiming to transition into computer vision, providing essential tools and resources.
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Beginners in Programming
Not suitable for complete novices without prior programming knowledge or experience in Python and Raspberry Pi.
Product Description
Raspberry Pi Computer Vision Programming -Second Edition: Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 2nd ed. Edition
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Computer Vision & Pattern Recognition Editorial Review
The "Raspberry Pi Computer Vision Programming: Design and Implement Computer Vision Applications with Raspberry Pi, OpenCV, and Python 3, 2nd Edition" serves as a comprehensive guide for newcomers to the realm of computer vision using the Raspberry Pi. Designed with beginners in mind, the book requires no prior knowledge of the Raspberry Pi or the Linux environment, making it highly accessible. Reviewers have appreciated the detailed explanations of essential topics such as the installation and configuration of Raspbian OS and OpenCV, along with a wide variety of practical examples and code snippets that help clarify the intricacies of OpenCV commands. One of the standout features of this book is its focus on delivering well-commented and straightforward code examples that bridge the gap often found in technical manuals, where complexity can discourage learners. The logic and flow of the tutorials ensure that each project builds effectively upon the concepts learned in previous sections. Many readers have successfully applied the knowledge gained from the book to real-world projects such as motion tracking and chroma-key effects. However, some feedback indicated a desire for more real-world project examples and more advanced topics, as certain sections seemed to linger too long on introductory materials. This may limit the book's usefulness for individuals with a robust prior knowledge of the subject. A minor criticism includes the lack of color syntax highlighting in the code examples, although this can be remedied by utilizing external code editors. Ultimately, the book strikes a good balance between theory and practice, making it a worthwhile resource for hobbyists eager to explore the possibilities of computer vision without breaking the bank. **
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Pros
- Comprehensive coverage of computer vision topics for beginners.
- Well-commented and easy-to-understand code examples.
- Logical progression in tutorials, building upon previous knowledge.
- Practical real-world project examples demonstrated.
- Good value for money compared to similar resources.
Cons
- Some introductory sections might feel excessive for those with prior knowledge.
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Features & Benefits
- Learn to perform computer vision tasks with Raspberry Pi and Python.
- Implement image processing and manipulation using OpenCV.
- Follow easy-to-understand examples and screenshots.
- Explore advanced techniques including machine learning and GUI app creation.
- Gain practical skills to build and deploy real-life computer vision applications.
- Updated second edition featuring new topics and technologies.
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