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from .tiff_base import TiffBase
class TiffChannelsAndFiles(TiffBase):
"""Represent a collection of TIFF files as a single TIFF source
object.
See also
--------
TiffFile, TiffFiles
"""
def __init__(self, channels_files_map):
"""Parameters
----------
channels_files_map : dict
A dictionary of channel names and TIFF files (``TiffFiles``
instances)
"""
self.channels_files_map = channels_files_map
def get_tiff_array(self, channel, sample_index=0,
subfile_type=0, assume_one_image_per_file=False):
""" Return an array of images for given channel.
Parameters
----------
channel : str
The name of a channel.
sample_index : int
Specify sample within a pixel.
subfile_type : int
Specify TIFF NewSubfileType used for collecting sample images.
assume_one_image_per_file : bool
When True then it is assumed that each TIFF file contains
exactly one image and all images have the same parameters.
This knowledge speeds up tiff_array construction as only the
first TIFF file is opened for reading image parameters. The
other TIFF files are opened only when particular images are
accessed.
Returns
-------
tiff_array : TiffArray
Array of sample images. The array has rank equal to 3.
"""
return self.channels_files_map[channel].get_tiff_array(
sample_index=sample_index,
subfile_type=subfile_type,
assume_one_image_per_file=assume_one_image_per_file)
def get_info(self):
lst = []
for channel, tiff in list(self.channels_files_map.items()):
lst.append('Channel %s:' % (channel))
lst.append('-' * len(lst[-1]))
lst.append(tiff.get_info())
return '\n'.join(lst)
def close(self):
for tiff in self.channels_files_map.values():
tiff.close()
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