Package: python3-pims
Source: pims
Version: 0.7+ds-2
Architecture: all
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
Installed-Size: 3484
Depends: python3-imageio, python3-numpy, python3-packaging, python3-slicerator, python3-tifffile, python3:any
Recommends: python3-pil
Suggests: python3-matplotlib
Section: python
Priority: optional
Homepage: https://github.com/soft-matter/pims
Description: Python Image Sequence
 Scientific video can be packaged in various ways: familiar video
 formats like .AVI and .MOV, folders full of numbered images, or
 "stacks" of TIFF images. Each of these requires a separate Python
 module. And, once loaded, they have different methods for "accessing
 individual images, looping through the images in bulk, accessing a
 specific range, or dealing with multidimensional files".
 PIMS can do all of these using a consistent interface, handling the
 differences between different inputs invisibly.
 .
 Formats readable by pims include:
  * Directories or zipfiles of still images (most formats, including
    TIFF, JPEG, PNG, BMP), and TIFF stacks
  * Microscope images supported by the Bio-formats project, including
    Leica, Nikon, Olympus, and Zeiss formats. Requires separate
    installation; see below.
  * Movie formats and codecs supported by ffmpeg, including AVI,
    QuickTime MOV, and H.264 (MP4). May require separate installation.
  * CINE files from Vision Research cameras
  * SEQ files from NorPix StreamPix software
 .
 PIMS is based on readers by:
  * scikit-image
  * ffmpeg and PyAV (video formats such as AVI, MOV)
  * jpype (interface with Bio-formats)
  * Pillow (improved TIFF support)
  * tifffile (alternative TIFF support)
  * pims_nd2 (improved Nikon .nd2 support)
  * imageio (a multi-purpose reader package that reads and writes
    many formats)
  * moviepy (a Python module that supports video editing)
  * nd2reader (a Pure Python module for reading Nikon NIS Elements
    ND2 images and metadata)
