A pure Python computer vision library based on the book 'Programming Computer Vision with Python'.
PCV is an open-source Python module for computer vision, based on the book 'Programming Computer Vision with Python'. It provides a collection of algorithms and examples for tasks like image processing, feature detection, and analysis, helping users learn and implement computer vision techniques in Python.
Students, educators, and developers learning computer vision who prefer a Python-based, educational approach with practical examples aligned with a textbook.
Developers choose PCV for its direct correlation to a well-regarded computer vision book, offering clear, pure Python implementations that are easy to understand and extend for educational or prototyping purposes.
Open source Python module for computer vision
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Directly correlates with the book 'Programming Computer Vision with Python', providing clear, textbook-aligned code examples that facilitate learning. Evidence: README states it's based on the book.
Built entirely in Python without low-level dependencies, making it accessible and easy to understand for beginners. Evidence: README describes it as a pure Python library.
Organized into core library, book-specific, and example folders, which helps in navigating and reusing code for different purposes. Evidence: README outlines structure with PCV/, pcv_book/, and examples/ directories.
Includes sample code for various computer vision applications, aiding practical experimentation and understanding. Evidence: README mentions an examples/ directory with sample code.
Requires Python 2.6+, which is deprecated and unsupported, leading to compatibility issues with modern Python 3.x environments and libraries. Evidence: README specifies Python 2.6+ as a requirement.
Focused on content from the book, so it lacks advanced or recent computer vision algorithms like deep learning, limiting its use for cutting-edge projects.
Installation involves running setup.py manually, which is less convenient and reliable compared to standard package managers like pip. Evidence: Installation instructions are via python setup.py install.