Commit ca5e6bad authored by Josef Brandt's avatar Josef Brandt
Browse files

Reworking particle and analysis handling

Analyses are not primarily stored in each particle, but summarized in particleContainer. Each particle then only holds a reference to each assigned analysis..
parent a974f0be
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+24 −24
Original line number Diff line number Diff line
@@ -132,30 +132,30 @@ class SpectraPlot(QtWidgets.QGroupBox):
        self.setLayout(layout)
        
    def loadSpectraAndInitializeSpecPlot(self):  #formerly updateData(self)....
        def tryLoadingNumpySpecFile():
            specPath = self.dataset.getSpectraFileName()
            if os.path.exists(specPath):
                return np.load(specPath)
            else:
                raise ImportError
        try:
            self.spectra = tryLoadingNumpySpecFile()
        except ImportError:
            
            fname = QtWidgets.QFileDialog.getOpenFileName(QtWidgets.QWidget(), 'Select Spectra File', self.dataset.path, 'text file (*.txt)')[0]
    
            try:
                self.spectra, spectraNames = importSpectra.importWITecSpectra(fname)
            except ImportError:
                try:
                    self.spectra, spectraNames = importSpectra.importRenishawSpectra(fname)
                except ImportError:
                    self.spectra, spectraNames = importSpectra.importPerkinElmerSpectra(fname)
                
            if self.spectra is None:
                raise ImportError
            else:
                np.save(self.dataset.getSpectraFileName(), self.spectra)
#        def tryLoadingNumpySpecFile():
#            specPath = self.dataset.getSpectraFileName()
#            if os.path.exists(specPath):
#                return np.load(specPath)
#            else:
#                raise ImportError
#        try:
#            self.spectra = tryLoadingNumpySpecFile()
#        except ImportError:
#            
#            fname = QtWidgets.QFileDialog.getOpenFileName(QtWidgets.QWidget(), 'Select Spectra File', self.dataset.path, 'text file (*.txt)')[0]
#    
#            try:
#                self.spectra, spectraNames = importSpectra.importWITecSpectra(fname)
#            except ImportError:
#                try:
#                    self.spectra, spectraNames = importSpectra.importRenishawSpectra(fname)
#                except ImportError:
#                    self.spectra, spectraNames = importSpectra.importPerkinElmerSpectra(fname)
#                
#            if self.spectra is None:
#                raise ImportError
#            else:
#                np.save(self.dataset.getSpectraFileName(), self.spectra)
 
        self.canvas.draw()
        
+174 −0
Original line number Diff line number Diff line
# -*- coding: utf-8 -*-
"""
GEPARD - Gepard-Enabled PARticle Detection
Copyright (C) 2018  Lars Bittrich and Josef Brandt, Leibniz-Institut für 
Polymerforschung Dresden e. V. <bittrich-lars@ipfdd.de>    

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program, see COPYING.  
If not, see <https://www.gnu.org/licenses/>.
"""
import numpy as np


class Particle(object):
    def __init__(self):
        super(Particle, self).__init__()
        self.index = None
        self.longSize_ellipse = np.nan
        self.shortSize_ellipse = np.nan
        self.longSize_box = np.nan
        self.shortSize_box = np.nan
        self.area = None
        self.contour = None
        self.measurements = []
        self.viewItem = None
    
    def addMeasurement(self, refToMeasurement):
        self.measurements.append(refToMeasurement)
        
#    def addExistingMeasurement(self, meas):
#        self.measurements.append(meas)
#    
#    def addEmptyMeasurement(self):
#        self.measurements.append(Measurement())
#        indexOfNewMeasurment = len(self.measurements)-1
#        return indexOfNewMeasurment
    
#    def setMeasurementScanIndex(self, indexOfMeasurment, scanIndex):
#        self.measurements[indexOfMeasurment].ramanScanIndex = scanIndex
#    
#    def setMeasurementPixelCoords(self, indexOfMeasurment, x, y):
#        self.measurements[indexOfMeasurment].pixelcoord_x= x
#        self.measurements[indexOfMeasurment].pixelcoord_y = y
#
    def setAllSpectraToNewAssignment(self, newAssignment):
        for meas in self.measurements:
            meas.setAssignment(newAssignment)
            meas.setHQI(100)

    def getParticleAssignment(self):
        return self.getMeasAssignmentWithHighestHQI()   #probably another method could be more suitable...
    
    def getHighestHQI(self):
        hqis = []
        for meas in self.measurements:
            hqis.append(meas.getHQI())
        return max(hqis)
    
    def getHQIOfMeasurementIndex(self, index):
        for meas in self.measurements:
            if meas.ramanScanIndex == index:
                return meas.getHQI()
    
    def getMeasurementIndices(self):
        indices = []
        for meas in self.measurements:
            indices.append(meas.ramanScanIndex)
        return indices
    
    def getMeasurements(self):
        return self.measurements
    
    def getMeasAssignmentWithHighestHQI(self):
        hqis = []
        assignments = []
        for meas in self.measurements:
            hqis.append(meas.getHQI())
            assignments.append(meas.getAssignment())
        indexOfHighestHQI = hqis.index(max(hqis))
        return assignments[indexOfHighestHQI]
        
    def getParticleSize(self):
        if not np.isnan(self.longSize_ellipse):
            size = self.longSize_ellipse
        elif not np.isnan(self.longSize_box):
            size = self.longSize_box
        else:
            print(f'Error, particle size requested, but not yet set.\nParticle Index is {self.index}')
            raise ValueError
        assert size is not None, f'Error, size or particle {self.index} is None'
        return round(size)
    
    def getShortParticleSize(self):
        if not np.isnan(self.shortSize_ellipse):
            return self.shortSize_ellipse
        elif not np.isnan(self.shortSize_box):
            return self.shortSize_box
        else:
            print(f'Error, particle size requested, but not yet set.\nParticle Index is {self.index}')
            raise ValueError
    
    def getNumberOfMeasurements(self):
        return len(self.measurements)
    
    def measurementsHaveSameOrigAssignment(self):
        allResults = [meas.getOrigAssignment() for meas in self.measurements]
        if len(np.unique(allResults)) == 1:
            return True
        elif len(np.unique(allResults)) > 1:
            return False

    def getOrigMeasurementAssignments(self):
        assignments = [meas.getOrigAssignment() for meas in self.measurements]
        return assignments

    def applyHQITresholdToMeasurements(self, minHQI):
        for measurement in self.measurements:
            measurement.applyHQIThreshold(minHQI)
    
#    def recreateViewItem(self):
#        pass
            
    
class Measurement(object):
    def __init__(self):
        super(Measurement, self).__init__()
        self.ramanScanIndex = None
        self.pixelcoord_x= None
        self.pixelcoord_y = None
        
        self.assignment_orig = 'Not Evaluated'
        self.assignment_afterHQI = None
        self.hqi = None
    
    def setAssignment(self, assignment):
        self.assignment_orig = assignment
        self.applyHQIThreshold()
        
    def setHQI(self, hqi):
        self.hqi = hqi
        self.applyHQIThreshold()
    
    def applyHQIThreshold(self, minHQI=0):
        if self.hqi is not None:    #i.e. skip for initial setup, when hqi is not yet aplied...
            if self.hqi >= minHQI:
                self.assignment_afterHQI = self.assignment_orig
            else:
                self.assignment_afterHQI = 'unknown'
    
    def getHQI(self):
        return self.hqi
    
    def getAssignment(self):
        if self.assignment_afterHQI is None:
            return self.assignment_orig
        else:
            return self.assignment_afterHQI
        
    def getOrigAssignment(self):
        return self.assignment_orig
    
    def getScanIndex(self):
        return self.ramanScanIndex
+46 −148
Original line number Diff line number Diff line
@@ -20,17 +20,62 @@ If not, see <https://www.gnu.org/licenses/>.
"""
import numpy as np
import operator
import os
from PyQt5 import QtWidgets

from analysis import importSpectra
from analysis.particleAndMeasurement import Particle, Measurement


class ParticleContainer(object):
    def __init__(self, datasetParent):
        super(ParticleContainer, self).__init__()
        self.datasetParent = datasetParent
        self.particles = []
        self.measurements = []
        self.spectra = None
        self.inconsistentParticles = []
        
        self.typeHistogram = None
    
    def addEmptyMeasurement(self):
        self.measurements.append(Measurement())
        indexOfNewMeas = len(self.measurements)-1
        return indexOfNewMeas
        
    def setMeasurementScanIndex(self, indexOfMeasurment, scanIndex):
        self.measurements[indexOfMeasurment].ramanScanIndex = scanIndex
    
    def setMeasurementPixelCoords(self, indexOfMeasurment, x, y):
        self.measurements[indexOfMeasurment].pixelcoord_x = x
        self.measurements[indexOfMeasurment].pixelcoord_y = y
    
    def loadSpectra(self):
        def tryLoadingNumpySpecFile():
            specPath = self.datasetParent.getSpectraFileName()
            if os.path.exists(specPath):
                return np.load(specPath)
            else:
                raise ImportError
        try:
            self.spectra = tryLoadingNumpySpecFile()
        except ImportError:
            
            fname = QtWidgets.QFileDialog.getOpenFileName(QtWidgets.QWidget(), 'Select Spectra File', self.datasetParent.path, 'text file (*.txt)')[0]
    
            try:
                self.spectra, spectraNames = importSpectra.importWITecSpectra(fname)
            except ImportError:
                try:
                    self.spectra, spectraNames = importSpectra.importRenishawSpectra(fname)
                except ImportError:
                    self.spectra, spectraNames = importSpectra.importPerkinElmerSpectra(fname)
                
            if self.spectra is None:
                raise ImportError
            else:
                np.save(self.datasetParent.getSpectraFileName(), self.spectra)
    
    def initializeParticles(self, numParticles):
        self.particles = []
        for i in range(numParticles):
@@ -246,150 +291,3 @@ class ParticleContainer(object):
        for newIndex, particle in enumerate(self.particles):
            particle.index = newIndex
class Particle(object):
    def __init__(self):
        super(Particle, self).__init__()
        self.index = None
        self.longSize_ellipse = np.nan
        self.shortSize_ellipse = np.nan
        self.longSize_box = np.nan
        self.shortSize_box = np.nan
        self.area = None
        self.contour = None
        self.measurements = []
        self.viewItem = None
        
    def addExistingMeasurement(self, meas):
        self.measurements.append(meas)
    
    def addEmptyMeasurement(self):
        self.measurements.append(Measurement())
        indexOfNewMeasurment = len(self.measurements)-1
        return indexOfNewMeasurment
    
    def setMeasurementScanIndex(self, indexOfMeasurment, scanIndex):
        self.measurements[indexOfMeasurment].ramanScanIndex = scanIndex
    
    def setMeasurementPixelCoords(self, indexOfMeasurment, x, y):
        self.measurements[indexOfMeasurment].pixelcoord_x= x
        self.measurements[indexOfMeasurment].pixelcoord_y = y

    def setAllSpectraToNewAssignment(self, newAssignment):
        for meas in self.measurements:
            meas.setAssignment(newAssignment)
            meas.setHQI(100)

    def getParticleAssignment(self):
        return self.getMeasAssignmentWithHighestHQI()   #probably another method could be more suitable...
    
    def getHighestHQI(self):
        hqis = []
        for meas in self.measurements:
            hqis.append(meas.getHQI())
        return max(hqis)
    
    def getHQIOfMeasurementIndex(self, index):
        for meas in self.measurements:
            if meas.ramanScanIndex == index:
                return meas.getHQI()
    
    def getMeasurementIndices(self):
        indices = []
        for meas in self.measurements:
            indices.append(meas.ramanScanIndex)
        return indices
    
    def getMeasurements(self):
        return self.measurements
    
    def getMeasAssignmentWithHighestHQI(self):
        hqis = []
        assignments = []
        for meas in self.measurements:
            hqis.append(meas.getHQI())
            assignments.append(meas.getAssignment())
        indexOfHighestHQI = hqis.index(max(hqis))
        return assignments[indexOfHighestHQI]
        
    def getParticleSize(self):
        if not np.isnan(self.longSize_ellipse):
            size = self.longSize_ellipse
        elif not np.isnan(self.longSize_box):
            size = self.longSize_box
        else:
            print(f'Error, particle size requested, but not yet set.\nParticle Index is {self.index}')
            raise ValueError
        assert size is not None, f'Error, size or particle {self.index} is None'
        return round(size)
    
    def getShortParticleSize(self):
        if not np.isnan(self.shortSize_ellipse):
            return self.shortSize_ellipse
        elif not np.isnan(self.shortSize_box):
            return self.shortSize_box
        else:
            print(f'Error, particle size requested, but not yet set.\nParticle Index is {self.index}')
            raise ValueError
    
    def getNumberOfMeasurements(self):
        return len(self.measurements)
    
    def measurementsHaveSameOrigAssignment(self):
        allResults = [meas.getOrigAssignment() for meas in self.measurements]
        if len(np.unique(allResults)) == 1:
            return True
        elif len(np.unique(allResults)) > 1:
            return False

    def getOrigMeasurementAssignments(self):
        assignments = [meas.getOrigAssignment() for meas in self.measurements]
        return assignments

    def applyHQITresholdToMeasurements(self, minHQI):
        for measurement in self.measurements:
            measurement.applyHQIThreshold(minHQI)
    
#    def recreateViewItem(self):
#        pass
            
    
class Measurement(object):
    def __init__(self):
        super(Measurement, self).__init__()
        self.ramanScanIndex = None
        self.pixelcoord_x= None
        self.pixelcoord_y = None
        
        self.assignment_orig = 'Not Evaluated'
        self.assignment_afterHQI = None
        self.hqi = None
    
    def setAssignment(self, assignment):
        self.assignment_orig = assignment
        self.applyHQIThreshold()
        
    def setHQI(self, hqi):
        self.hqi = hqi
        self.applyHQIThreshold()
    
    def applyHQIThreshold(self, minHQI=0):
        if self.hqi is not None:    #i.e. skip for initial setup, when hqi is not yet aplied...
            if self.hqi >= minHQI:
                self.assignment_afterHQI = self.assignment_orig
            else:
                self.assignment_afterHQI = 'unknown'
    
    def getHQI(self):
        return self.hqi
    
    def getAssignment(self):
        if self.assignment_afterHQI is None:
            return self.assignment_orig
        else:
            return self.assignment_afterHQI
        
    def getOrigAssignment(self):
        return self.assignment_orig
    
    def getScanIndex(self):
        return self.ramanScanIndex
 No newline at end of file
+10 −5
Original line number Diff line number Diff line
@@ -260,6 +260,7 @@ class DataSet(object):
            self.particleContainer.setParticleContours(self.particlecontours)
            self.particleContainer.setParticleStats(self.particlestats)
            self.particleContainer.applyPixelScaleToParticleStats(self.getPixelScale())
            
            if hasattr(self, 'particles2spectra'):
                if self.particles2spectra is not None:
                    measurements2particles = self.particles2spectra
@@ -269,12 +270,16 @@ class DataSet(object):
                measurements2particles = recreateMeasurement2ParticleFromScanIndices()
                
            for particleIndex, listOfScanIndices in enumerate(measurements2particles):
                curParticle = self.particleContainer.particles[particleIndex]
                for measIndex, scanIndex in enumerate(listOfScanIndices):
                    curParticle.addEmptyMeasurement()
                curParticle = self.particleContainer.getParticleOfIndex(particleIndex)
                for scanIndex in listOfScanIndices:
#                    curParticle.addEmptyMeasurement()
#                    curParticle.setMeasurementPixelCoords(measIndex, x, y)
#                    curParticle.setMeasurementScanIndex(measIndex, scanIndex)
                    indexOfNewMeas = self.particleContainer.addEmptyMeasurement()
                    x, y = self.ramanpoints[particleIndex][0], self.ramanpoints[particleIndex][1]
                    curParticle.setMeasurementPixelCoords(measIndex, x, y)
                    curParticle.setMeasurementScanIndex(measIndex, scanIndex)
                    self.particleContainer.setMeasurementPixelCoords(indexOfNewMeas, x, y)
                    self.particleContainer.setMeasurementScanIndex(indexOfNewMeas, scanIndex)
                    curParticle.addMeasurement(self.particleContainer.measurements[indexOfNewMeas])
            
            for particle in self.particleContainer.particles:
                for meas in particle.measurements:
+9 −3
Original line number Diff line number Diff line
@@ -667,9 +667,15 @@ class ParticleDetectionView(QtWidgets.QWidget):
            for particleIndex in measurementPoints:
                measPoints = measurementPoints[particleIndex]
                for index, point in enumerate(measPoints):
                    curParticle = particleContainer.particles[point.particleIndex]
                    curParticle.addEmptyMeasurement()
                    curParticle.setMeasurementPixelCoords(index, point.x, point.y)
#                    curParticle = particleContainer.particles[point.particleIndex]
#                    curParticle.addEmptyMeasurement()
#                    curParticle.setMeasurementPixelCoords(index, point.x, point.y)
                    curParticle = particleContainer.getParticleOfIndex(point.particleIndex)
                    indexOfNewMeas = particleContainer.addEmptyMeasurement()
                    particleContainer.setMeasurementPixelCoords(index, point.x, point.y)
                    curParticle.addMeasurement(particleContainer.measurements[indexOfNewMeas])
                    
                    
                
            self.dataset.ramanpoints = measurementPoints    #consider moving that to particleContainer
#            self.dataset.particlecontours = contours
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