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# Copyright 2014 Diamond Light Source Ltd. |
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# |
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# Licensed under the Apache License, Version 2.0 (the "License"); |
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# you may not use this file except in compliance with the License. |
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# You may obtain a copy of the License at |
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# |
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# http://www.apache.org/licenses/LICENSE-2.0 |
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# |
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# Unless required by applicable law or agreed to in writing, software |
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# distributed under the License is distributed on an "AS IS" BASIS, |
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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# See the License for the specific language governing permissions and |
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# limitations under the License. |
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""" |
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.. module:: tomophantom_loader |
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:platform: Unix |
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:synopsis: A full-field tomography loader that creates a NeXus file in \ |
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NXtomo format and contains tomographic synthetic data generated hdf5 dataset of a \ |
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specified size. |
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.. moduleauthor:: Daniil Kazantsev <[email protected]> |
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""" |
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import numpy as np |
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from savu.plugins.utils import register_plugin |
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from savu.plugins.loaders.base_tomophantom_loader import BaseTomophantomLoader |
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from savu.data.data_structures.data_types.data_plus_darks_and_flats \ |
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import ImageKey |
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@register_plugin |
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class TomoPhantomLoader(BaseTomophantomLoader): |
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def __init__(self, name='TomoPhantomLoader'): |
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super(TomoPhantomLoader, self).__init__(name) |
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def setup(self): |
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data_obj,data_obj2 = super(TomoPhantomLoader, self).setup() |
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image_key = self.__set_image_key(data_obj) |
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data_obj.data = ImageKey(data_obj, image_key, 0) |
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data_obj.set_shape(data_obj.data.shape) |
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self.set_data_reduction_params(data_obj) |
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data_obj2.set_shape(data_obj2.data.shape) |
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self.set_data_reduction_params(data_obj2) |
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def __set_image_key(self, data_obj): |
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proj_slice = \ |
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data_obj.get_data_patterns()['PROJECTION']['slice_dims'][0] |
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image_key = np.zeros(data_obj.data.shape[proj_slice], dtype=int) |
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return image_key |
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DiamondLightSource /
Savu
