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Nº de artículo:
87981054
Learning OpenCV 3 Computer Vision with Python - Second Edition: Unleash the power of computer vision with Python using O, (Paperback)
Nº de artículo:
87981054
DOP 4738
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Unleash the power of computer vision with Python using OpenCV.
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What Stands Out
Comprehensive Guide
This book offers an in-depth exploration of OpenCV 3 and Python, making it suitable for both beginners and experienced programmers seeking to enhance their computer vision skills.
Practical Examples
It includes numerous practical examples and projects, allowing readers to apply concepts directly, which helps solidify understanding and real-world application of computer vision techniques.
Updated Content
As a second edition, this book incorporates the latest advancements in OpenCV, ensuring readers learn current methods and practices in the fast-evolving field of computer vision.
Detalles de producto
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | September, 2015 |
| Pages | 266 |
| Subgenre | Artificial Intelligence |
| Series title | No Series |
| Edition | 2nd Edition |
| Publisher | Packt Publishing |
| Original languages | English |
| Language | English |
| Edu focus | Science & Technology |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.50 x 0.56 x 9.25 in (19.1 x 1.4 x 23.5 cm) |
| Assembled product weight | 1.02 lb (460 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Aspiring Coders
Ideal for beginners looking to explore Python programming and computer vision application development.
-
Researchers & Students
Great for those studying computer vision techniques and wanting practical examples with OpenCV in Python.
-
Tech Enthusiasts
Perfect for hobbyists passionate about tackling real-world problems through computer vision projects using Python.
-
Advanced Experts
Not suitable for seasoned professionals seeking in-depth theoretical insights or advanced computer vision techniques.
DESCRIPCIÓN DEL PRODUCTO
Learning OpenCV 3 Computer Vision with Python - Second Edition: Unleash the power of computer vision with Python using O, (Paperback)
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Preguntas y respuestas de los clientes
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Pregunta:
What skills will I gain from this book?
Respuesta: You will learn image processing techniques, machine learning concepts, object detection, and how to build real-world applications using OpenCV. -
Pregunta:
Is this book suitable for beginners?
Respuesta: Yes, the book is designed for both novices and experts, starting from basic concepts to advanced applications. -
Pregunta:
What is the publication date of the book?
Respuesta: The book was published on September 29, 2015.
Joe Minichino All Books Editorial Review
Learning OpenCV 3 Computer Vision with Python - Second Edition is an essential guide for those eager to explore the dynamic field of computer vision using Python. This non-fiction paperback, published in September 2015, comprises 266 pages packed with insightful content focused on the intersection of computing and artificial intelligence. Readers have praised its clear explanations and practical examples, making complex concepts accessible. The book is designed for science and technology enthusiasts who aspire to harness the power of computer vision, presenting detailed methodologies that cater to both beginners and experienced developers. The book's engaging approach ensures that readers can effectively learn and apply the principles of computer vision in real-world scenarios.
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ventajas
- Clear explanations of complex concepts
- Practical examples for better understanding
- Focus on artificial intelligence applications
- Suitable for both beginners and experienced users
- Well-organized content for easy navigation
Contras
- No additional resources included for further learning
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características y beneficios
- Create impressive applications with OpenCV and Python.
- Learn advanced machine learning concepts.
- Easy-to-follow guide for both novices and experts.
- Develop real-world applications in security and surveillance.
- Master image processing, video analysis, and object detection.
- Build artificial neural networks for recognition tasks.
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