Skip to content

v4.15.0

Choose a tag to compare

View all tags
@smistad smistad released this 02 Dec 09:22
· 96 commits to master since this release
v4.15.0
7dee20b

Changes

  • Added the display2D and display3D shortcut functions to both Python and C++ version of FAST for reducing boiler plate code when displaying data (see example below).
  • Added support for PyTorch tensors in Image and Tensor in pyFAST with the two functions fast.Image.createFromTensor and fast.Tensor.createFromTensor.
  • Fixed bug in DicomMultiFrameStreamer.
  • Renamed DicomMultiFrameStreamer to DICOMMultiFrameStreamer, and FAST_MODULE_Dicom to FAST_MODULE_DICOM.
  • Upgraded DCMTK on macOS arm64 to 3.6.9.
  • Added possibility of specifying another image pyramid structure in ImagePyramid::create than the default downsample by factor 2.
  • Removed check that removes any image pyramid levels less than 4 MB when importing with OpenSlide.
  • macOS x86_64 builds are now done on macOS 15 since macOS 13 runner on github is being removed.

New display2D and display3D shortcut functions

Instead of this:

renderer1 = fast.ImageRenderer.create().connect(image)
renderer2 = fast.SegmentationRenderer.create(opacity=0.25).connect(segmentation)
fast.SimpleWindow2D.create(bgcolor=fast.Color.Black()).connect([renderer1, renderer2]).run()

You can now just do this:

fast.display2D(image, segmentation, segmentationOpacity=0.25, bgcolor=fast.Color.Black())

A 3D version display3D also exists. And these functions are also available for C++.

Download and Install

Release binaries and installers can be downloaded below by pressing "assets". Make sure you have the required dependencies installed on your system before using the release: see the installation instructions for Windows, Ubuntu Linux, macOS and Docker containers.

Assets 12
Loading