Metadata-Version: 1.1
Name: qimage2ndarray
Version: 1.6
Summary: Conversion between QImages and numpy.ndarrays.
Home-page: https://github.com/hmeine/qimage2ndarray
Author: Hans Meine
Author-email: hans_meine@gmx.net
License: UNKNOWN
Download-URL: https://github.com/hmeine/qimage2ndarray/releases
Description: qimage2ndarray is a small python extension for quickly converting
        between QImages and numpy.ndarrays (in both directions).  These are
        very common tasks when programming e.g. scientific visualizations in
        Python using PyQt4 as the GUI library.
        
        * Supports conversion of scalar and RGB data, with arbitrary dtypes
          and memory layout, with and without alpha channels, into QImages
          (e.g. for display or saving using Qt).
        
        * qimage2ndarray makes it possible to create ndarrays that are
          *views* into a given QImage's memory.
        
          This allows for very efficient data handling and makes it possible
          to modify Qt image data in-place (e.g. for brightness/gamma or alpha
          mask modifications).
        
        * Masked arrays are also supported and are converted into QImages
          with transparent pixels.
        
        * Supports recarrays (and comes with an appropriate dtype) for
          convenient access to RGB(A) channels.
        
        * Supports value scaling / normalization to 0..255 for convenient
          display of arbitrary NumPy arrays.
        
        * qimage2ndarray is stable and unit-tested.
        
Keywords: QImage,numpy,ndarray,image,convert,PyQt4,PyQt5,PySide
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Multimedia :: Graphics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: User Interfaces
