def _processImage(self):
wt = WaitProcess
wt.run()
wt.change_value(50)
wt.change_info("Procesando imagen")
Application.processImage()
wt.change_value(80)
wt.change_info("Visualizando datos")
#actualizar la vista de los tres planos de la imagen procesada
self._processed_planes.Image = Application.get_processed_image()
self._filters_ui_synchronizer._update_filters_properties()
wt.stop()
def _calculate_data(self):
img = Application.get_processed_image()
if img is None:
return
self._ui.calculate.setEnabled(False)
writer = itk.ImageFileWriter[
img.ImageType].New() #crear el writer de ITK
writer.SetFileName(
self._temp_file_path) #ponerle el nombre seleccionado
writer.SetInput(img.InternalImage) #conectar la imagen a guardar
writer.Update() #guardar la imagen!
subprocess.call([
self._volume_exec_path, self._temp_file_path,
self._volume_file_path
])
#os.system('"'+self._volume_exec_path+'" "'+self._temp_file_path+'" '+self._volume_file_path)
spc = img.Spacing
spc_factor = spc[0] * spc[1] * spc[2]
f = open(self._volume_file_path, 'rt')
try:
self._vol = float(f.readline()) * spc_factor
self._lenX = float(f.readline()) * spc[0]
self._startX = map(int, f.readline()[1:-2].split(", "))
self._endX = map(int, f.readline()[1:-2].split(", "))
self._lenY = float(f.readline()) * spc[1]
self._startY = map(int, f.readline()[1:-2].split(", "))
self._endY = map(int, f.readline()[1:-2].split(", "))
self._lenZ = float(f.readline()) * spc[2]
self._startZ = map(int, f.readline()[1:-2].split(", "))
self._endZ = map(int, f.readline()[1:-2].split(", "))
finally:
f.close()
self._update_labels()
self._ui.calculate.setEnabled(True)
self._ui.save.setEnabled(True)
def _save_image(self):
img_svr = ImageSaver() #crear el diálogo
img_svr.saveImage(Application.get_processed_image()) #salvar la imagen
