def __loadNuclei(self):
''' Handles setting paths for model and setting scene. '''
mpath = self._fileDialog.getFilePath(filter='STL files (*.stl)')
filename = dbsUtils.getPathLeaf( mpath )
if filename is '':
return
else:
if self.active_vol is None:
QtGui.QMessageBox.warning( self, 'Warning', \
'You need an active scene first. \
Please load a dataset.')
return
try:
reader = dbsUtils.readSTL( str(mpath) )
self.__addNucleiToScene(reader)
except:
QtGui.QMessageBox.warning( self, 'Warning', \
'File selected is invalid.' )
return
def __loadData(self):
''' Handles setting paths for data and initializing new scene. '''
#if self.active_vol is not None:
# self._contextView.GetScene().RemoveItem( self._vdata[str(self.active_vol)].chart )
dpath = str( self._fileDialog.getFilePath( filter='Matlab files (*.mat)' ) )
filename = dbsUtils.getPathLeaf( dpath )
if filename in self._vdata.keys():
QtGui.QMessageBox.warning( self, 'Warning', \
'Dataset is already loaded. See tabs.' )
return
elif filename is '':
return #no file selected
else:
try:
self.scores[filename] = dbsUtils.readAvgChangeMatrices(dpath)
except:
QtGui.QMessageBox.warning( self, 'Warning', \
'File selected is invalid.' )
return
# store electrode params for current data set
if self.active_vol is not None:
self._electrodeViewDialog.saveCurrentParams(self.active_vol, fresh_load = False)
self.active_vol = filename
actv = self.active_vol
# create the newly loaded data set dialog parameters
# self._electrodeViewDialog.saveCurrentParams(self.active_vol, fresh_load = True)
self.__addNewRenderer()
scores = np.copy(self.scores[actv])
num_patients = scores.shape[1]
self.scores[actv] = np.reshape(self.scores[actv], newshape=(120, 120, 120, \
num_patients), order='C')
# create new volume data object for new patient outcome data set
self._vdata[actv] = vdata.VolumeData( scores, self._renderers[actv], self )
#self._vdata[actv].createTransFuncChart()
# newly loaded so the default dialog parameters are set
self._electrodeViewDialog.updateWidgetValues(self.active_vol, default = True)
self.__updateVTKObjects()
scoresim = self._vdata[actv].imdata
self.vol_qvtk_widgets[actv].setPlotting(scoresim=self._vdata[actv].images['Mean'], \
scores=self.scores[actv], graph = self._sc, \
pat_data = self._vdata[actv].pat_data_img_data_list)
# locator is optional, but improves performance for large polydata
vol = str(self._miscControlsDialog.vta_stats_combox.currentText())
locator = vtk.vtkCellLocator()
locator.SetDataSet(self._vdata[actv].images[vol])
locator.LazyEvaluationOn()
self._picker.AddLocator(locator)
self.__prepareSceneForQVTKWidget()
# update widgets
self._miscControlsDialog.updateWidgetValues()
self._para_coords.plot()
self._patientSubsetSelectorDialog.updateWidgetValues(self._vdata[actv].num_patients, \
self._vdata[actv].pat_sub_group )
# make the current loaded data set the *active* widget
self.vol_tabs.setCurrentWidget(self.vol_qvtk_widgets[actv].parent())
