- الصفحة الرئيسية /
- الكتب /
- الكمبيوتر والتكنولوجيا /
- علوم الكمبيوتر /
- AI & Machine Learning /
- Intelligence & Semantics /
- Computer Vision Projects with OpenCV and Pyth...
Computer Vision Projects with OpenCV and Python 3: Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
78% من المشترين سيوصون بهذا المنتج لصديق
EGP 2633
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
Gain a working knowledge of advanced machine learning and explore Python's powerful tools for extracting data from images and videos
شحن
سريع
استرجاع
مجاني*
تغليف آمن
منتجات أصلية %100
الامتثال لمعيار PCI DSS
حاصل على شهادة ISO 27001
أبرز ما يلفت الانتباه
تفاصيل المنتج
- Gain a working knowledge of advanced machine learning and explore Python's powerful tools for extracting data from images and videosKey Features: - Implement image classification and object detection using machine learning and deep learning- Perform image classification, object detection, image segmentation, and other Computer Vision tasks- Crisp content with a practical approach to solving real-world problems in Computer VisionBook Description: Python is the ideal programming language for rapidly prototyping and developing production-grade codes for image processing and Computer Vision with its robust syntax and wealth of powerful libraries. This book will help you design and develop production-grade Computer Vision projects tackling real-world problems.With the help of this book, you will learn how to set up Anaconda and Python for the major OSes with cutting-edge third-party libraries for Computer Vision. You'll learn state-of-the-art techniques for classifying images, finding and identifying human postures, and detecting faces within videos. You will use powerful machine learning tools such as OpenCV, Dlib, and TensorFlow to build exciting projects such as classifying handwritten digits, detecting facial features, and much more. The book also covers some advanced projects, such as reading text from license plates from real-world images using Google's Tesseract software, and tracking human body poses using DeeperCut within TensorFlow.By the end of this book, you will have the expertise required to build your own Computer Vision projects using Python and its associated libraries.What You Will Learn: - Install and run major Computer Vision packages within Python- Apply powerful support vector machines for simple digit classification- Understand deep learning with TensorFlow- Build a deep learning classifier for general images- Use LSTMs for automated image captioning- Read text from real-world images- Extract human pose data from imagesWho this book is for: Python programmers and machine learning developers who wish to build exciting Computer Vision projects using the power of machine learning and OpenCV will find this book useful. The only prerequisite for this book is that you should have a sound knowledge of Python programming.
| Publisher | Packt Publishing |
| Publication date | December 28, 2018 |
| Language | English |
| Print length | 182 pages |
| ISBN-10 | 178995455X |
| ISBN-13 | 978-1789954555 |
| Item Weight | 11.4 ounces (323.19 grams) |
| Dimensions | 7.5 x 0.41 x 9.25 inches (19.1 x 1 x 23.5 cm) |
من يجب أن يشتري؟
-
Beginners to CV
Ideal for individuals new to computer vision, providing practical projects to build foundational skills with OpenCV and Python.
-
Students in Tech
Great for students studying computer science or engineering who want to enhance their understanding through hands-on projects.
-
Hobbyist Developers
Perfect for hobbyists looking to explore and experiment with computer vision applications in personal projects or tech interests.
-
Expert Users
Advanced users may find the content too basic and not sufficiently challenging to engage with their skills.
وصف المنتج
أسئلة العملاء & الإجابات
-
سؤال:
What is OpenCV and why is it used in computer vision projects?
إجابه: OpenCV (Open Source Computer Vision Library) is a powerful library aimed at real-time computer vision. It's widely used due to its comprehensive suite of tools for image and video analysis. With support for various programming languages, including Python 3, OpenCV allows developers to implement complex algorithms for tasks like object detection, recognition, and image segmentation. Practically, a developer might use OpenCV to create an application that identifies and tracks faces in security video feeds. -
سؤال:
Can I build a real-time object detection system using OpenCV and Python?
إجابه: Yes, you can build a real-time object detection system using OpenCV and Python. By leveraging pre-trained models and OpenCV’s robust features, you can create applications that analyze video streams to detect and track objects dynamically. For instance, a retail business might use such a system to monitor customer behavior and optimize store layouts based on tracked movements. -
سؤال:
What are some common projects I can create with OpenCV and Python?
إجابه: Common projects include facial recognition systems, gesture recognition applications, augmented reality experiences, and image filtering tools. Each project allows you to explore different aspects of computer vision while honing your coding skills. For instance, a simple project could involve creating a motion detector that sends alerts when movement is detected in a designated area using video feeds. -
سؤال:
Is prior programming knowledge required to work on OpenCV projects?
إجابه: Some programming experience is beneficial, as working with OpenCV involves understanding Python and basic programming concepts. However, many tutorials cater to beginners, providing a step-by-step approach. For example, a new learner can start with a basic image manipulation project before advancing to more complex tasks like facial recognition, gradually building confidence and expertise. -
سؤال:
What hardware do I need for running OpenCV projects?
إجابه: You can run OpenCV projects on standard personal computers or laptops with a decent CPU and RAM. For more demanding tasks, such as real-time video processing or machine learning models, a dedicated GPU can enhance performance. For example, a gaming laptop with a strong graphics card can improve the execution speed for complex computer vision tasks, making development more efficient. -
سؤال:
What are the advantages of using Python with OpenCV?
إجابه: Python is a versatile programming language that enhances OpenCV by providing a simple syntax, extensive libraries, and a supportive community. This makes it easier to implement complex algorithms and visualize data. For instance, using Python, a developer can quickly prototype and test computer vision applications, such as a motion detection system, allowing for rapid iteration and development. -
سؤال:
How does OpenCV handle image processing tasks?
إجابه: OpenCV provides a plethora of built-in functions for various image processing tasks, including filtering, transformations, and morphological operations. It processes images by applying these functions effectively to manipulate pixel data. A common use case is using OpenCV to enhance the quality of images in medical imaging, where clarity can be crucial for analysis. -
سؤال:
What software tools can complement OpenCV in a project?
إجابه: Tools such as Jupyter Notebook, NumPy, and Matplotlib significantly complement OpenCV projects. Jupyter allows for interactive coding, NumPy provides efficient numerical operations, and Matplotlib enables data visualization. For instance, in a project that involves detecting edges in images, you can use Matplotlib to visualize the results in real-time, making it easier to tune parameters and improve outcomes. -
سؤال:
Where can I find tutorials and resources for OpenCV and Python projects?
إجابه: Numerous online platforms offer rich resources for learning OpenCV and Python. Websites like YouTube, Coursera, and the official OpenCV documentation provide comprehensive tutorials that guide beginners and experienced developers alike. For instance, a beginner might follow a step-by-step video series on YouTube that covers basic image processing techniques, leading to more advanced applications. -
سؤال:
Where can I buy Computer Vision Projects with OpenCV and Python 3 in Egypt?
إجابه: You can buy Computer Vision Projects with OpenCV and Python 3 on Ubuy. They offer a variety of resources and tools needed to kickstart your journey in computer vision, ensuring you have access to quality materials to enhance your learning and project development.
Intelligence & Semantics Editorial Review
Computer Vision Projects with OpenCV and Python 3 presents six comprehensive projects that leverage machine learning techniques using OpenCV, Python, and TensorFlow. With a print length of 182 pages published by Packt Publishing on December 28, 2018, this book serves as a valuable resource for those looking to deepen their understanding of computer vision. Readers appreciate the structured approach to projects, allowing them to learn through practical implementation. The accessible language makes it suitable for both beginners and those with some prior knowledge of programming. It's a solid choice for anyone interested in enhancing their technical skills in computer vision.
مراجعات العملاء وتقييماتهم
-
5 نجمة
34%
-
4 نجمة
34%
-
3 نجمة
0%
-
2 نجمة
0%
-
1 نجمة
32%
أضف تقييم لهذا المنتج
شارك أفكارك مع عملاء آخرين
إيجابيات
- Features six comprehensive end-to-end projects
- Integrates machine learning concepts effectively
- Uses popular tools like OpenCV and TensorFlow
- Clear explanations suitable for beginners
- Well-structured project approach
سلبيات
- Some readers may desire more advanced projects
منصة موثوقة وثقة كاملة للمشتري
“Great products and very good service: very easy and very fast international delivery.”
“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”
“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”
“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”
“Easy to find and order what you want on the website. Delivery is quick to the UK”
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.
- ليست كل المنتجات المدرجة على يوباي معروضة للبيع، لأن يوباي هو محرك بحث عالمي. المنتجات تخضع للوائح التصدير / التجارة.
EGP 2633
اطلب الآن واحصل عليه حول الجمعة, أكتوبر 09
هذا المنتج غير ممنوع في بلدي. (الرجاء الضغط على الرابط أعلاه إذا لم يكن هذا المنتج ممنوعاً في بلدك ، لذلك سيقوم فريقنا بمراجعته والسماح به.)
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
- Implement image classification and object detection using machine learning and deep learning
- Perform image classification, object detection, image segmentation, and other Computer Vision tasks
- Crisp content with a practical approach to solving real-world problems in Computer Vision
- Install and run major Computer Vision packages within Python
- Apply powerful support vector machines for simple digit classification
- Understand deep learning with TensorFlow
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.