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# Copyright 2020 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:: dezinger |
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:platform: Unix |
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:synopsis: A 2D/3D median-based dezinger plugin to apply to any data |
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.. moduleauthor::Daniil Kazantsev <[email protected]> |
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""" |
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from savu.plugins.filters.denoising.base_median_filter import BaseMedianFilter |
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from savu.plugins.driver.cpu_plugin import CpuPlugin |
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from savu.plugins.utils import register_plugin |
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import numpy as np |
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from larix.methods.misc import MEDIAN_DEZING |
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View Code Duplication |
@register_plugin |
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class Dezinger(BaseMedianFilter, CpuPlugin): |
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def __init__(self): |
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super(Dezinger, self).__init__("Dezinger") |
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def process_frames(self, data): |
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input_temp = data[0] |
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indices = np.where(np.isnan(input_temp)) |
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input_temp[indices] = 0.0 |
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if (self.parameters['dimension'] == '3D'): |
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if (self.parameters['pattern'] == 'VOLUME_XY'): |
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input_temp =np.swapaxes(input_temp,0,2) |
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if ((self.parameters['pattern'] == 'VOLUME_XZ') or (self.parameters['pattern'] == 'SINOGRAM')): |
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input_temp =np.swapaxes(input_temp,0,1) |
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result = MEDIAN_DEZING(input_temp.copy(order='C'), self.parameters['kernel_size'], self.parameters['outlier_mu']) |
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if (self.parameters['dimension'] == '3D'): |
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if (self.parameters['pattern'] == 'VOLUME_XY'): |
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result =np.swapaxes(result,0,2) |
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if ((self.parameters['pattern'] == 'VOLUME_XZ') or (self.parameters['pattern'] == 'SINOGRAM')): |
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result =np.swapaxes(result,0,1) |
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return result |
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DiamondLightSource /
Savu
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