Showing 38 open source projects for "python-4suite-xml"

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  • 1

    Diviz

    Diviz is a tractography software based on python

    Diviz is a tractography software based on python and dipy ,wx-widgets vtk and some image processing algorithms
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  • 2
    OpenCMISS-Zinc

    OpenCMISS-Zinc

    A Library for Interactive Modelling and Visualisation

    The OpenCMISS-Zinc Library (opencmiss.org/zinc), or Zinc, is a software library for building interactive graphical modelling and visualisation applications. Models are represented in Zinc as mathematical fields defined over domains, including finite elements with support for high-order basis functions, complex parameter mappings and time variation, and image-based fields. Further fields can be defined by mathematical expressions and algorithms on existing fields, including image...
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  • 3
    "aura" tool is a desktop (X root window) background setter, making heavy accent on image processing and clever scaling (liquid rescale, solid margins cropping, labelling) capabilities.
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  • 4
    Lightningbeam

    Lightningbeam

    IDE for creating interactive Flash and HTML5 content

    Lightningbeam is a free, open-source alternative to Adobe Flash. It is written in Python, and uses PyGUI for a GUI, swfc for compiling, and Cairo for image processing. It has the ability to export to HTML5 as well as .swf, allowing for viewing on non-Flash-compatible devices (such as the iPhone or the Kindle), and can pack all resources into a single HTML file for portability. Lightningbeam supports ActionScript, allowing for interactive content creation.
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  • 5
    Pink is an image processing library developed at ESIEE Engineering for research and teaching purposes. It contains implementations of over 200 algorithms for image segmentation and filtering.
    Downloads: 2 This Week
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  • 6
    VIPS is an image processing suite designed for extremely large images and colorimetry. It consists of a powerful re-usable library and a graphical user interface. http://www.vips.ecs.soton.ac.uk
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  • 7
    XIPL/XASM is a basic environment to build high-level Image Processing operations using a XML-based language. The idea is to compile the high-level XIPL language into a low-level one, XASM (XML-based too), using XSLT technology.
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  • 8
    Image Processing software for combining information from images of the same scene, but with illumination variations or small changes. This work is the result of the coursework of an Image Processing regular course at IMPA.
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  • 9
    GLEWpy aims to bring advanced OpenGL extensions to Python. This allows the Python OpenGL developer to use features such as fragment/vertex shaders and image processing on the GPU. It serves as a compliment to PyOpenGL and toolkits such as GLUT and SDL.
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    Downloads: 42 This Week
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  • 10
    Written in Python and the Numeric package. It supports the examples of the book: Dougherty and Lotufo, Hands-on Morphological Image Proc., SPIE, 2003, ISSN=0-8194-4720-X. This toolbox has been continued at www.adessowiki.org under name ia870.
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  • 11
    ImageJ is a public domain Java image processing program inspired by NIH Image for the Macintosh. It runs, either as an online applet or as a downloadable application, on any computer with a Java 1.1 or later. HOME @ http://rsb.info.nih.gov/ij/
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    Downloads: 3 This Week
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  • 12
    pdi_lib a collection of digital image processing function implemented as a module for python. The code is written in Pyrex for clarity and speed improvement.
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  • 13

    geoscipy

    Python-accessible toolkit for Geoscience & Remote Sensing Applications

    ...The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. ...
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