Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition)
Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition)
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Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition)
Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition)
Develop strong grip on the fundamentals of Image Processing and Image Manipulation.
Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition)
Προϊόν #: 88901948

Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy,

Προϊόν #: 88901948

€ 35

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What Stands Out

Comprehensive Coverage
Offers over 50 solutions and techniques specifically for complex digital image processing challenges. Tailored for both beginners and advanced users aiming to enhance their skills with practical applications.
Expert Guidance
Utilizes popular libraries like Numpy, Scipy, Pytorch, and Keras, ensuring learners benefit from industry-standard practices. Designed by experts, it provides deep insights tailored for real-world applications.
Hands-On Approach
Emphasizes practical learning through step-by-step solutions, making it easy for users to implement concepts immediately, thereby bridging the gap between theory and real-world implementation in image processing.

Λεπτομέρειες προιόντος

Shop Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition) online at a best price in Greece. 9389898641
  • Over 50 problems solved with classical algorithms + ML / DL modelsKey Features Problem-driven approach to practice image processing. Practical usage of popular Python libraries: Numpy, Scipy, scikit-image, PIL and SimpleITK. End-to-end demonstration of popular facial image processing challenges using MTCNN and Microsoft’s Cognitive Vision APIs.DescriptionThis book starts with basic Image Processing and manipulation problems and demonstrates how to solve them with popular Python libraries and modules. It then concentrates on problems based on Geometric image transformations and problems to be solved with Image hashing. Next, the book focuses on solving problems based on Sampling, Convolution, Discrete Fourier transform, Frequency domain filtering and image restoration with deconvolution. It also aims at solving Image enhancement problems using different algorithms such as spatial filters and create a super resolution image using SRGAN.Finally, it explores popular facial image processing problems and solves them with Machine learning and Deep learning models using popular python ML / DL libraries.What you will learn Develop strong grip on the fundamentals of Image Processing and Image Manipulation. Solve popular Image Processing problems using Machine Learning and Deep Learning models. Working knowledge on Python libraries including numpy, scipy and scikit-image. Use popular Python Machine Learning packages such as scikit-learn, Keras and pytorch. Live implementation of Facial Image Processing techniques such as Face Detection / Recognition / Parsing dlib and MTCNN.Who this book is forThis book is designed specially for computer vision users, machine learning engineers, image processing experts who are looking for solving modern image processing/computer vision challenges.Table of Contents1. Chapter 1: Basic Image & Video Processing2. Chapter 2: More Image Transformation and Manipulation3. Chapter 3: Sampling, Convolution and Discrete Fourier Transform4. Chapter 4: Discrete Cosine / Wavelet Transform and Deconvolution5. Chapter 5: Image Enhancement6. Chapter 6: More Image Enhancement7. Chapter 7: Face Image ProcessingAbout the Author Sandipan Dey is a Data Scientist with a wide range of interests, covering topics such as Machine Learning, Deep Learning, Image Processing and Computer Vision. He has worked in numerous data science fields, such as recommender systems, predictive models for the events industry, sensor localization models, sentiment analysis, and device prognostics. He earned his master's degree in Computer Science from the University of Maryland, Baltimore County, and has published in a few IEEE data mining conferences and journals. He has also authored a couple of Image Processing books, published from an international publication house. He has earned certifications from 100+ MOOCs on data science and related courses. He is a regular blogger (at sandipanweb @wordpress, medium and data science central) and is a Machine Learning education enthusiast. LinkedIn Profile: https://www.linkedin.com/in/sandipan-dey-0370276
Publisher BPB Publications
Publication date March 10, 2021
Language English
Print length 428 pages
ISBN-10 9389898641
ISBN-13 978-9389898644
Item Weight 1.63 pounds (740 grams)
Dimensions 7.5 x 0.97 x 9.25 inches (19.1 x 2.5 x 23.5 cm)

Who Should Buy?

Suitable For
  • Aspiring Developers

    Individuals eager to learn digital image processing techniques using Python libraries like Numpy and Pytorch.

  • Data Science Enthusiasts

    Those interested in enhancing their skills in data analysis and machine learning through practical image processing applications.

  • Academics and Researchers

    Students or professionals conducting research that involves advanced image processing challenges in their projects or studies.

Not Suitable For
  • Beginners in Python

    Complete newcomers to Python programming may find the content too advanced without foundational knowledge.

  • Casual Learners

    Individuals looking for light overviews rather than in-depth problem-solving techniques may not find it engaging.

  • Non-Technical Users

    Users without a technical background or interest in coding may struggle to apply the learned concepts effectively.

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Ερωτήσεις & Απαντήσεις Πελατών

  • ερώτηση: What is included in the Image Processing Masterclass with Python?

    απάντηση: The Image Processing Masterclass encompasses 50 comprehensive solutions and techniques designed for tackling a variety of complex digital image processing challenges. It incorporates libraries such as Numpy, Scipy, and Pytorch, providing a well-rounded educational experience. By engaging with practical examples and hands-on projects, learners can enhance their skills, from basic image manipulations to advanced machine learning applications in image processing.
  • ερώτηση: Who is this masterclass suitable for?

    απάντηση: This masterclass is suitable for both beginners and advanced users in the field of image processing. Beginners will find the foundational techniques helpful for understanding core concepts, while seasoned developers can explore advanced methodologies and solutions to maximize their project efficiency. Whether you are a student, a hobbyist, or a professional, this course is structured to meet diverse learning needs.
  • ερώτηση: Do I need prior programming experience to take this course?

    απάντηση: While prior programming experience is beneficial, it is not a strict requirement. The masterclass is designed to cater to those new to image processing and Python programming. The instructional materials gradually introduce programming concepts, ensuring that learners can follow along and grasp the content effectively. This inclusion makes it accessible for a wider audience interested in enhancing their technical skills.
  • ερώτηση: What programming languages and tools are utilized in this masterclass?

    απάντηση: The Image Processing Masterclass primarily utilizes Python along with essential libraries such as Numpy, Scipy, and Pytorch. These tools are integral for performing numerical operations, implementing algorithms and carrying out machine learning tasks respectively. Mastering these libraries not only prepares learners for image processing projects but also equips them with skills applicable to broader data science and AI fields.
  • ερώτηση: What practical skills will I gain from this masterclass?

    απάντηση: By completing this masterclass, you will acquire practical skills in various aspects of image processing, including image filtering, enhancement, transformation, and analysis. The hands-on projects encourage applying learned techniques in real-world scenarios, empowering participants to solve complex imagery problems. These skills are invaluable in industries such as healthcare, automotive, and media where visual data is heavily utilized.
  • ερώτηση: Can this masterclass help with machine learning projects?

    απάντηση: Absolutely! The course provides insights into the intersection of image processing and machine learning using Pytorch. You will learn how to prepare and process images for machine learning models, apply convolutional neural networks, and analyze image data sets effectively. This knowledge is critical for anyone looking to leverage images in deep learning applications, providing a strong foundation for future projects.
  • ερώτηση: What are the requirements for taking this masterclass?

    απάντηση: The primary requirement is a computer with internet access to participate in the online modules. Familiarity with basic programming concepts will enhance your learning experience, but it's not mandatory. All necessary Python libraries are covered as part of the course content, allowing you to set up your environment alongside the lessons. This ensures a ready-to-learn environment from day one.
  • ερώτηση: Will I receive a certificate after completing this masterclass?

    απάντηση: Yes, upon completing the masterclass, participants typically receive a certificate of completion. This certificate serves as a testament to your acquired skills and knowledge in image processing, which you can showcase in your portfolio or LinkedIn profile. It can significantly enhance your professional credibility and demonstrate your dedication to continuous learning in a competitive field.
  • ερώτηση: How frequently is the content updated in this masterclass?

    απάντηση: The content in this masterclass is regularly updated to reflect the latest advancements in image processing techniques and tools. As new libraries and technologies emerge, the course materials are revised to include relevant examples and practices. This ensures that learners stay current with industry standards and can apply modern strategies in their projects effectively.
  • ερώτηση: Where can I buy the Image Processing Masterclass with Python?

    απάντηση: You can purchase the Image Processing Masterclass with Python from Ubuy. Ubuy provides access to a variety of digital courses, ensuring a smooth purchasing experience. Simply visit the Ubuy website and search for the masterclass title to get started on your image processing journey. Ubuy is known for its intuitive interface and reliable service, making it a great choice for acquiring educational resources.

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Πλεονεκτήματα

  • Comprehensive coverage of topics
  • Hands-on practical exercises
  • Clear explanations and examples
  • Suitable for all skill levels
  • Real-world applications discussed

Μειονεκτήματα

  • Some sections could use more depth.

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Χαρακτηριστικά & Πλεονεκτήματα

  • Over 50 image processing problems are addressed with classical algorithms and ML/DL models.
  • Practical usage of popular Python libraries like Numpy, Scipy, and scikit-image.
  • Comprehensive coverage of facial image processing techniques using deep learning.
  • Hands-on approach to solving geometric transformations and image enhancement.
  • Ideal for computer vision users, machine learning engineers, and image processing experts.
  • End-to-end solutions for modern image processing challenges.