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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:: projection_2d_alignment  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                   :platform: Unix  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                   :synopsis: calculates horizontal-vertical shift vectors for fixing misaligned projection data  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                .. moduleauthor:: Daniil Kazantsev <[email protected]>  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                """  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                from savu.plugins.plugin import Plugin  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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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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                from skimage.registration import phase_cross_correlation  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                import numpy as np  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                @register_plugin  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                class Projection2dAlignment(Plugin, CpuPlugin):  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    def __init__(self):  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                        super(Projection2dAlignment, self).__init__('Projection2dAlignment') | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    def setup(self):  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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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('PROJECTION', self.get_max_frames()) | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                        in_pData[1].plugin_data_setup('PROJECTION', self.get_max_frames()) | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                        # create a metadata for storing shift vectors  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                        slice_dirs = list(in_dataset[0].get_slice_dimensions())  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                        new_shape = (in_dataset[0].get_shape()[slice_dirs[0]], 2)  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                        out_dataset[0].create_dataset(shape=new_shape,  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                                                      axis_labels=['x.shifts', 'y.shifts'],  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                                                      remove=True)  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                        out_dataset[0].add_pattern("METADATA", core_dims=(1,), slice_dims=(0,)) | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                        out_pData[0].plugin_data_setup('METADATA', self.get_max_frames()) | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    def process_frames(self, data):  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                        projection = data[0]  # extract a projection  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                        projection_align = data[1]  # extract a projection for alignment  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                        # perform alignment  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                        shift, error, diffphase = phase_cross_correlation(  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                                    projection, projection_align, upsample_factor=self.parameters['upsample_factor'])  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                        return shift  | 
            
            
                                                                                                            
                                                                
            
                                    
            
            
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                    def post_process(self):  | 
            
            
                                                                        
                            
            
                                    
            
            
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                        out_data = self.get_out_datasets()[0]  | 
            
            
                                                                        
                            
            
                                    
            
            
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                        shift_vector = out_data.data[:, :]  # get a shift vector  | 
            
            
                                                                        
                            
            
                                    
            
            
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                        shift_vector[:, [0, 1]] = shift_vector[:, [1, 0]]  # swap axis in shift vector  | 
            
            
                                                                        
                            
            
                                    
            
            
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                        # get previous projection shifts first from experimental metadata  | 
            
            
                                                                        
                            
            
                                    
            
            
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                        shift_vector_prev = self.exp.meta_data.dict['projection_shifts']  | 
            
            
                                                                        
                            
            
                                    
            
            
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                        shift_vector_prev += shift_vector  | 
            
            
                                                                        
                            
            
                                    
            
            
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                        self.exp.meta_data.set('projection_shifts', shift_vector_prev.copy()) | 
            
            
                                                                        
                            
            
                                    
            
            
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                        in_meta_data = self.get_in_meta_data()[0]  | 
            
            
                                                                        
                            
            
                                    
            
            
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                        in_meta_data.set('projection_shifts', shift_vector_prev.copy()) | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    def get_max_frames(self):  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                        return 'single'  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    def nInput_datasets(self):  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                        return 2  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    def nOutput_datasets(self):  | 
            
            
                                                                                                            
                                                                
            
                                    
            
            
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                        return 1  | 
            
            
                                                        
            
                                    
            
            
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