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# coding: utf-8
#
# Project: FabIO X-ray image reader
#
# Copyright (C) 2010-2016 European Synchrotron Radiation Facility
# Grenoble, France
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
"""HDF5 image for FabIO
Authors: Jerome Kieffer
email: Jerome.Kieffer@terre-adelie.org
Specifications:
input should being the form:
filename::path
Only supports ndim=2 or 3 (exposed as a stack of images
"""
__authors__ = ["Jérôme Kieffer"]
__contact__ = "Jerome.Kieffer@terre-adelie.org"
__license__ = "MIT"
__copyright__ = "Jérôme Kieffer"
__date__ = "03/04/2020"
import logging
import os
import posixpath
from . import fabioimage
logger = logging.getLogger(__name__)
try:
import h5py
except ImportError:
h5py = None
from .fabioutils import previous_filename, next_filename
class Hdf5Frame(fabioimage.FabioFrame):
"""Identify a slice of dataset from an HDF5 file"""
def __init__(self, hdf5image, frame_num):
if not isinstance(hdf5image, Hdf5Image):
raise TypeError("Expected class %s", Hdf5Image)
data = hdf5image.dataset[frame_num, :, :]
super(Hdf5Frame, self).__init__(data=data, header=hdf5image.header)
self.hdf5 = hdf5image.hdf5
self.dataset = hdf5image.dataset
self.filename = hdf5image.filename
self._nframes = hdf5image.nframes
self.header = hdf5image.header
self.currentframe = frame_num
class Hdf5Image(fabioimage.FabioImage):
"""
FabIO image class for Images from an HDF file
filename::dataset
"""
DESCRIPTION = "Hierarchical Data Format HDF5 flat reader"
DEFAULT_EXTENSIONS = ["h5"]
def __init__(self, *arg, **kwargs):
"""
Generic constructor
"""
if not h5py:
raise RuntimeError("fabio.Hdf5Image cannot be used without h5py. Please install h5py and restart")
fabioimage.FabioImage.__init__(self, *arg, **kwargs)
self.hdf5 = None
self.dataset = None
def read(self, fname, frame=None):
"""
try to read image
:param fname: filename::datasetpath
"""
self.resetvals()
if "::" not in fname:
err = "the '::' separator in mandatory for HDF5 container, absent in %s" % fname
logger.error(err)
raise RuntimeError(err)
filename, datapath = fname.split("::", 1)
self.filename = filename
if os.path.isfile(self.filename):
self.hdf5 = h5py.File(self.filename, mode="r")
else:
error = "No such file or directory: %s" % self.filename
logger.error(error)
raise RuntimeError(error)
try:
self.dataset = self.hdf5[datapath]
except Exception as err:
logger.error("No such datapath %s in %s, %s", datapath, filename, err)
raise
if isinstance(self.dataset, h5py.Group) and ("data" in self.dataset):
datapath = posixpath.join(datapath, "data")
logger.warning("The actual dataset is ")
self.dataset = self.dataset["data"]
# ndim does not exist for external links ?
ndim = len(self.dataset.shape)
if ndim == 3:
self._nframes = self.dataset.shape[0]
if frame is not None:
self.currentframe = int(frame)
else:
self.currentframe = 0
self.data = self.dataset[self.currentframe, :, :]
elif ndim == 2:
self.data = self.dataset[:, :]
else:
err = "Only 2D and 3D datasets are supported by FabIO, here %sD" % self.dataset.ndim
logger.error(err)
raise RuntimeError(err)
return self
def _get_frame(self, num):
return self.getframe(num)
def getframe(self, num):
"""
Returns a frame as a new FabioImage object
:param num: frame number
"""
if num < 0 or num >= self.nframes:
raise IndexError("Requested frame number %i is out of range [0, %i[ " % (num, self.nframes))
# Do a deep copy of the header to make a new one
frame = Hdf5Frame(self, num)
frame._set_container(self, num)
frame._set_file_container(self, num)
return frame
def next(self):
"""
Get the next image in a series as a fabio image
"""
if self.currentframe < (self.nframes - 1):
return self.getframe(self.currentframe + 1)
else:
newobj = Hdf5Image()
newobj.read(next_filename(self.filename))
return newobj
def previous(self):
"""
Get the previous image in a series as a fabio image
"""
if self.currentframe > 0:
return self.getframe(self.currentframe - 1)
else:
newobj = Hdf5Image()
newobj.read(previous_filename(self.filename))
return newobj
def close(self):
if self.hdf5 is not None:
self.hdf5.close()
self.dataset = None
hdf5image = Hdf5Image
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