94 lines
3.0 KiB
Python
94 lines
3.0 KiB
Python
#!/usr/bin/python
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# -*- coding: utf-8 -*-
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# \file AttributeProfiles.py
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# \brief TODO
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# \author Florent Guiotte <florent.guiotte@gmail.com>
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# \version 0.1
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# \date 04 avril 2018
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#
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# TODO details
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from .core import Filter, Stack
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## TODO: dep
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import sys
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import numpy as np
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sys.path.append('../triskele/python')
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import triskele
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class AttributeProfiles(Filter):
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def __init__(self, area=None, sd=None, moi=None):
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super().__init__(self.__class__.__name__)
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self.area = np.sort(area) if area is not None else None
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self.sd = np.sort(sd) if sd is not None else None
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self.moi = np.sort(moi) if moi is not None else None
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def _process_desc(self):
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att_desc = dict()
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for att in ['area', 'sd', 'moi']:
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att_desc[att] = list()
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if self.__getattribute__(att) is not None:
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att_desc[att].extend(
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['Thickening {} {}'.format(att, x) for x in self.__getattribute__(att)[::-1]])
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att_desc[att].append(None)
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att_desc[att].extend(
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['Thinning {} {}'.format(att, x) for x in self.__getattribute__(att)])
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return att_desc
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def _process_offset(self):
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att_offset = dict()
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for att in ['area', 'sd', 'moi']:
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values = self.__getattribute__(att)
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att_offset[att] = len(values) * 2 + 1 if values is not None else 0
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return att_offset
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def _process(self, data, metadata):
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t = triskele.Triskele(data, verbose=False)
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att_min = t.filter(tree='min-tree', area=self.area,
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standard_deviation=self.sd,
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moment_of_inertia=self.moi)
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att_max = t.filter(tree='max-tree', area=self.area,
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standard_deviation=self.sd,
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moment_of_inertia=self.moi)
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## Merge filtering as APs
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## Create new metadata
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### Pre-process descriptions
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att_desc = self._process_desc()
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### Compute stack offsets
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att_offset = self._process_offset()
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stack_offset = sum(att_offset.values())
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### Merge old and new descriptions
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metadata_new = list()
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for stack in metadata:
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if stack.end - stack.begin > 1:
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raise NotImplementedError('Nested filtering not implemented yet')
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for att in ['area', 'sd', 'moi']:
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stack_new = Stack(stack_offset * stack.begin, att_offset[att],
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stack.desc[0], stack.symb[0])
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for old_desc, new_desc in zip(stack_new.desc, att_desc[att]):
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print('DESCRIPTION: {} > {}'.format(old_desc, new_desc))
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old_desc.append(new_desc)
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metadata_new.append(stack_new)
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att = np.dstack((att_min, att_max))
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return att, metadata_new
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if __name__ == '__main__':
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area = [10, 100, 1000]
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sd = [.1, .9]
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ap = AttributeProfiles(area, sd)
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print(ap._process_desc())
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print(ap._process_offset())
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