DeVIDE
DeVIDE, or the Delft Visualisation and Image processing Development Environment, is a cross-platform software framework for the rapid prototyping, testing and deployment of visualisation and image processing algorithms. The software was developed within the Visualisation group. DeVIDE's primary (and currently only) front-end is a data-flow boxes-and-lines network editor. In this regard, it is very similar to AVS, OpenDX, Khoros or VISSION. DeVIDE integrates functionality from libraries such as VTK, ITK, GDCM, DCMTK, numpy and matplotlib. It is being very actively developed.
DeVIDE is distributed as part of the DRE, or DeVIDE Runtime Environment. The DRE is in fact a Python distribution that includes cmake, swig, Python, numpy, matplotlib, wxPython, gdcm, VTK, ITK and DeVIDE itself. With the DRE, you can easily develop your own Python applications and also C++ extension modules, as the C++ SDK is included. See the DRE help page for more information. In short, if you need VTK or ITK Python binaries for your Windows or Linux system in order to run your own code, you can use the DRE for that!
This is the main DeVIDE homepage. There is also a news weblog, the GoogleCode project hosting page (where you can for example file bug reports) and the discussion mailing list.
News and discussion
Get the latest DeVIDE-related news on the DeVIDE News blog. Even better, subscribe to the blog using your aggregator!
Download
Go to the downloads page to get binaries or source code.
Documentation
The best global introduction and system description is to be found in our SimVis 2008 paper:
This is also the official companion paper to the open source release of DeVIDE. If you find this software useful in your research, please cite the SimVis paper above when you publish your work.
The software has online help (press F1) with more practical hints and tips. Please browse this before you begin to use the software.
Screenshots and other media
Please see the DeVIDE movie and image gallery!
Use cases
DeVIDE has been involved / used / favourably mentioned in the following research projects:
- Medical image analysis problem solving on the grid (Maheshwari2007)
- MIA development workflow (Olabarriaga2007)
- Retrobulbar fat analysis (ARVO2005, ASCI2005, VMLS2007)
- Parts of Visible Orbit reconstruction (ARVO2005b)
- Pelvic floor deformation (Am.J.Obst.Gyn. 2004, Journal of Biomechanics vol. 36, nr. 6, pp. 749-757)
Pre-op planning (SimVis2006, Botha2005)
- Chorionic villi visualisation (Botha2005)
- Shoulder segmentation (Botha2005)