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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:: testing_iterative_plugin4 |
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:platform: Unix |
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:synopsis: Iterative plugin example |
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.. moduleauthor:: Nicola Wadeson <[email protected]> |
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""" |
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from savu.plugins.utils import register_plugin |
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from savu.plugins.filters.base_filter import BaseFilter |
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from savu.plugins.driver.iterative_plugin import IterativePlugin |
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@register_plugin |
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class TestingIterativePlugin4(BaseFilter, IterativePlugin): |
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""" |
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A plugin to test the iterative plugin driver - switching between sinograms |
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and projections on each iteration. |
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""" |
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def __init__(self): |
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super(TestingIterativePlugin4, self).\ |
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__init__("TestingIterativePlugin4") |
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def pre_process(self): |
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self.set_iterations(3) |
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def process_frames(self, data): |
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return data[0] |
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def post_process(self): |
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# option here to break out of the iterations |
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# self.set_processing_complete() |
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pass |
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View Code Duplication |
def setup(self): |
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# set up the output dataset that is created by the plugin |
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in_dataset, out_dataset = self.get_datasets() |
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in_pData, out_pData = self.get_plugin_datasets() |
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in_pData[0].plugin_data_setup('SINOGRAM', 'single') |
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out_dataset[0].create_dataset(in_dataset[0]) |
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# Clone and set as alternating dataset - should I actually do this here? |
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self.clone_dataset(out_dataset[1], out_dataset[0]) |
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# HOw to set more than one pattern associated with a plugin |
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out_pData[0].plugin_data_setup('SINOGRAM', 'single') # set first pattern |
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out_pData[1].plugin_data_setup('PROJECTION', 'single') # set first pattern |
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# Do I need two plugin data objects? When should I set this? |
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# try replacing input dataset with the output dataset *****option to change the pattern on each iteration? |
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# option to set any number of patterns one after another |
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self.set_iteration_datasets(0, [in_dataset[0]], [out_dataset[0]], pattern='SINOGRAM') # Add option for pattern to be a dictionary with different pattern for each dataset |
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self.set_iteration_datasets(1, [out_dataset[0]], [out_dataset[1]], pattern='PROJECTION') # PROJECTION |
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# out_dataset[0] and out_dataset[1] will continue to alternate for the |
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# remaining iterations |
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self.set_alternating_patterns(['SINOGRAM', 'PROJECTION']) # or explicitly add it as above or a combination of both |
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# it could be that the first two iterations have the same pattern and the remainder alternate |
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# alternatively to above you could just have |
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# self.set_iteration_datasets(0, [in_dataset[0]], [out_dataset[0]]) |
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# self.set_iteration_datasets(1, [out_dataset[0]], [out_dataset[1]]) |
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# self.set_alternating_patterns(['SINOGRAM', 'PROJECTION']) # what if there is more than on pattern - this should also be a dictionary |
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# So, to set different patterns there are two ways |
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# first way is to add 'pattern' key word to set_iteration_datasets function call |
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# second way is to pass a list of patterns to set_alternating_patterns function call |
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# in either case, each entry can be a list of a dictionary |
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# if a list apply to all datasets |
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# if a dictionary, they should be {dataset: pattern} key value pairs |
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# Now I just have to make this work - can I just create an extra pluginData object for each dataset and alternate between those? |
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# Or will I have to calculate mfp/mft every time? |
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# Don't forget to call "finalise_datasets" or whatever the function is (usually called after the setup method) |
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def nOutput_datasets(self): |
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return 2 |
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def nClone_datasets(self): |
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return 1 |
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DiamondLightSource /
Savu
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