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Comix is a user-friendly, customizable imageviewer. It is specifically designed to handle comic books, but also serves as a generic viewer. It reads images in ZIP, RAR or tar archives (also gzip or bzip2 compressed) as well as plain image files.
A system for displaying very large sets of montaged images. The system includes a python wrapper around imagemagick generating image tiles, aa applet for viewing the tile sets, and a simple image server for use instead of Apache.
TutatiX it's a Dicom Viewer written in python. TutatiX try to be a guide to known how Dicom works and how to develop an application. The must important part of TutatiX it's the documentation that must be detailed and easy to understand.
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A slideshow viewer, designed for digital photography enthusiasts. Features include: intuitive control (no distracting GUI), zoom and pan feature, full screen, fast, EXIF tag display, high quality scaling, and lossless image rotation.
Sequential imageviewer intented for reading manga and comics. You can drag and drop folders, images and arhives in it and it can read images from within nested archives (.zip inside .rar).
imgSeek is a photo collection manager and viewer with content-based search and many other features. The query is expressed either as a rough sketch painted by the user or as another image you supply (or an image in your collection).
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Comic reader is a comic book reader written in Python. Its meant to run on linux and browse through image archives in ZIP or RAR format. The program extracts the pages in sequence and displays them using an internal viewer or an external program.
A set of Python scripts, for use with Blender that will export to Java XML, which can be decoded with the standard java.beans.XMLDecoder class.
[No longer writes source code; this is a better solution.]
ImageJ is a public domain Javaimage 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/