Version 22.4.0

• Add command line tool for resampling a dataset, with entrypoint: resample (and unit tests)
• Add ImageReader:
  • Generic reader for reading to vtkImageData
  • Reads: HDF5, MetaImage, Numpy, Raw, TIFF stacks
  • Supports resampling OR cropping the dataset whilst reading.
• Add ImageWriter:
  • Writer for writing out a modified i.e. resampled or cropped dataset.
  • Supports writing to HDF5 and metaimage.
• Add ImageWriterInterface:
  • Interface for writers, with methods for setting and getting information about modified
    (i.e. resampled or cropped) image data to write to a file.
• Add cilviewerHDF5Writer:
  • This is a writer which expects to be writing an original dataset or attributes of the original dataset,
    plus one or more 'child' versions of the dataset which have been resampled and/or cropped.
  • Stores the information needed to reload a resampled or cropped dataset on the viewer.
• Add cilviewerHDF5Reader:
  • for reading datasets generated by the cilviewerHDF5Writer.
• Add new requirements:
  • schema
  • pyyaml
• Examples:
  • examples/image_reader_and_writer.py is an example of using the ImageReader and ImageWriter
  • examples/opacity_in_viewer.py updated to use head dataset from utils/example_data.py
• Unit tests for all of the new readers and writers.
• Removed obsolete TIFF code from conversion.py. The following have been removed:
  • vtkTiffStack2numpy
  • tiffStack2numpy
  • tiffStack2numpyEnforceBounds
  • _tiffStack2numpy
  • normalize
  • highest_tuple_element
• Fixed cilTIFFResampler so that if original TIFF file has a set spacing and origin, this is taken into account when resampling.
• Fixed bug in iviewer with display of volume render.
• iviewer now shows gradient opacity volume render of head dataset from utils/example_data.py by default.
• Fix bug in CILViewer if volume render method is adjusted before volume render turned on.