Source: invesalius
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Andreas Tille <tille@debian.org>,
           Thiago Franco de Moraes <tfmoraes@cti.gov.br>
Section: graphics
Priority: optional
Build-Depends: debhelper-compat (= 13),
               python3-dev,
               python3-setuptools,
               cython3,
               dh-sequence-python3,
               imagemagick,
               python3-numpy,
	       python3-puremagic
Build-Depends-Indep: python3
Standards-Version: 4.7.0
Vcs-Browser: https://salsa.debian.org/med-team/invesalius
Vcs-Git: https://salsa.debian.org/med-team/invesalius.git
Homepage: https://www.cti.gov.br/invesalius/
Rules-Requires-Root: no

Package: invesalius
Architecture: all
Depends: ${python3:Depends},
         ${misc:Depends},
         python3-setuptools,
         python3-numpy,
         python3-scipy,
         python3-skimage,
         python3-wxgtk4.0,
         python3-pil,
         python3-gdcm,
         python3-vtk9,
         python3-nibabel,
         python3-serial,
         python3-psutil,
         python3-h5py,
         python3-imageio,
         python3-pubsub,
	 python3-puremagic,
         invesalius-bin
Recommends: python3-torch | python3-torch-cuda
Description: 3D medical imaging reconstruction software
 InVesalius generates 3D medical imaging reconstructions based on a sequence of
 2D DICOM files acquired with CT or MRI equipments. InVesalius is
 internationalized (currently available in English, Portuguese, French,
 Spanish, Turkish, Italian, Czesh, Japanese, Catalan, Korean, Romanian and
 German) and provides several tools:
  * DICOM support including: (a) ACR-NEMA version 1 and 2; (b) DICOM
    version 3.0 (including various encodings of JPEG -lossless and lossy-, RLE)
  * Image manipulation features (zoom, pan, rotation, brightness/contrast,
    etc)
  * Segmentation based on 2D slices
  * Pre-defined threshold ranges according to tissue of interest
  * Segmentation based on watershed
  * Region growing segmentation
  * Edition tools (similar to Paint Brush) based on 2D slices
  * Semi-automatic segmentation based on Watershed
  * 3D surface creation
  * 3D surface connectivity tools
  * 3D surface exportation (including: binary STL, OBJ, VRML, Inventor)
  * High-quality volume rendering projection
  * Pre-defined volume rendering presets
  * Volume rendering crop plane
  * Picture exportation (including: BMP, TIFF, JPG, PostScript, POV-Ray)
  * Minimum, Maximum or Mean Intensity Projection, Maximum Intensity Difference
    Accumulation and Contour based visualizations

Package: invesalius-examples
Architecture: all
Depends: ${misc:Depends}
Multi-Arch: foreign
Description: examples for 3D medical imaging reconstruction software
 InVesalius generates 3D medical imaging reconstructions based on a sequence of
 2D DICOM files acquired with CT or MRI equipments.
 .
 This package contains a sample file to open in InVesalius.

Package: invesalius-bin
Architecture: any
Depends: ${shlibs:Depends},
         ${python3:Depends},
         ${misc:Depends}
Multi-Arch: same
Description: Implementation of MIDA and contour based visualizations
 InVesalius generates 3D medical imaging reconstructions based on a sequence of
 2D DICOM files acquired with CT or MRI equipments.
 .
 This package contains a compiled implementation of MIDA and some contour based
 visualizations