Search Results for "bitbucket"

3DimViewer is a lightweight 3D viewer of medical DICOM datasets that is distributed as open source software. The viewer is multiplatform software written in C++ that runs on Windows, Mac OS X and Linux systems. 3DimViewer source codes are available on Bitbucket (https://bitbucket.org/3dimlab/3dimviewer). Video tutorials can be found on YouTube (https://www.youtube.com/playlist?list=PLCvwUmKRw9ZO4YexLKEXmw_2jPo-kXVRn).

Project moved to Bitbucket https://bitbucket.org/andreyu/simple-viewer-gl Small and simple viewer for Linux, support multipage images, support transparency and alpha-channel in images.

MDSTk is a collection of 2D/3D image processing tools aimed at medical images. It contains routines for volume data processing (3D filtering, segmentation, etc.) as well as fast low-level vector graphics library for surface and tetrahedral meshing. MDSTk has been forked by 3Dim Laboratory s.r.o. to provide better support and further push its development forward. Please check VPL (Voxel Processing Library) project available on Bitbucket (https://bitbucket.org/3dimlab/vpl).

Screen grabber with many abilities such as taking shot of full virtual desktop, only window, fullscreen 3d. Upload images with one of prebuilt share plugins or write your own. All help and template language reference you can find on bitbucket wiki page. Get code on homepage (bitbucket. Link below) of project or download win exe from here or homepage.

Crossplatform calculator based on preprocessor to Lua language (CLua). CLua have a hybrid syntax between C-style and Lua and have some additions like inline condition operator etc. Easy and very fast in use. Helpful for debugging and analysing data. Enjoy! Get code on homepage (bitbucket. Link below) of project or download win exe from here or homepage.

...) _ openGL _ pluma framework (a fixed version located on bitbucket) The design of the actual C++ code-base primarily targets clean source code and high modularity of source code, to allow easy reuse of the code and fast learning for people who might join the effort. Current development is located on https://bitbucket.org/bmorel/autorealm . Howerver, older repositories are still here in case someone would like to consult them, and to allow easy access to algorithms they might contain.