VTK 5.6 Release Planning: Difference between revisions
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== API Changes == | == API Changes == | ||
* the use of <tt>vtkMath::Random()</tt>, <tt>vtkMath::RandomSeed()</tt>, <tt>vtkMath::GetSeed()</tt>, <tt>vtkMath::Gaussian()</tt> is deprecated (there are error-prone and not deterministic (which is important for reproducibility of regression testing) as they use global static information. Instead, you should create an object of class <tt>vtkMinimalStandardRandomSequence</tt> to get a sequence of pseudo-random number following a uniform distribution. You should create an object of class <tt>vtkBoxMuellerRandomSequence</tt> to get a sequence of pseudo-random number following a Gaussian distribution. | |||
== OpenGL requirements == | == OpenGL requirements == |
Revision as of 18:35, 16 March 2010
Planned Schedule
- Preparation email: February 4th, 2010
- Create VTK-5-6 branch: TBD
- Release VTK 5.6.0: TBD
What's New in VTK 5.6?
New features in VTK since the 5.4 release include:
- Improved chart support
- Classes moved from vtkEdge (vtkGPUVolumeRayCastMapper & associated classes. What else?)
- 211 new C++ classes.
- 91 new C++ tests running on most dashboards
- 17 new C++ examples that demonstrate how to use VTK effectively.
- Zhanping
- More robust EnSight reader.
- Addition of Tecplot reader.
- Accurate anti-jagginess streamline integrator
- Incremental / dynamic octree-based point locator for fast point location and insertion of non-uniformly distributed points (3 times faster than the previous version).
- Integration of robust cell location to vector evaluation on complex grids.
- High-performance table-based clipper for various kinds of grids (one to two orders of magnitude faster than the previous version).
- Addition of GPU-based real time Line Integral Convolution (LIC) with enhanced image contrast and LIC+geometry compositing for dense vector field / flow visualization.
API Changes
- the use of vtkMath::Random(), vtkMath::RandomSeed(), vtkMath::GetSeed(), vtkMath::Gaussian() is deprecated (there are error-prone and not deterministic (which is important for reproducibility of regression testing) as they use global static information. Instead, you should create an object of class vtkMinimalStandardRandomSequence to get a sequence of pseudo-random number following a uniform distribution. You should create an object of class vtkBoxMuellerRandomSequence to get a sequence of pseudo-random number following a Gaussian distribution.
OpenGL requirements
Same as VTK 5.2 (?): See this section in the Frequently asked questions (FAQ)