def on_imageZoomDoubleSpinBox_valueChanged(self, zoom=None):
''' Called when the user wants to plot only a subset of the data
:Parameters:
index : int
New index in the subset combobox
'''
if zoom is None: zoom = self.ui.imageZoomDoubleSpinBox.value()
self.ui.zoomSlider.blockSignals(True)
self.ui.zoomSlider.setValue(int(self.ui.zoomSlider.maximum() * zoom))
self.ui.zoomSlider.blockSignals(False)
if self.imagesize > 0:
n = max(5, int(self.imagesize * zoom))
self.ui.imageListView.setIconSize(QtCore.QSize(n, n))
def on_loadImagesPushButton_clicked(self):
''' Load the current batch of images into the list
'''
if len(self.files) == 0: return
self.imageListModel.clear()
index, start = self.imageSubset(self.ui.pageSpinBox.value() - 1,
self.ui.imageCountSpinBox.value())
if len(index) == 0:
self.ui.pageSpinBox.blockSignals(True)
self.ui.pageSpinBox.setValue(0)
self.ui.pageSpinBox.blockSignals(False)
self.ui.imageCountSpinBox.blockSignals(True)
self.ui.imageCountSpinBox.setValue(1)
self.ui.imageCountSpinBox.blockSignals(False)
index, start = self.imageSubset(0, 1)
bin_factor = self.ui.decimateSpinBox.value()
nstd = self.ui.clampDoubleSpinBox.value()
img = None
self.loaded_images = []
self.base_level = None
zoom = self.ui.imageZoomDoubleSpinBox.value()
masks = {}
template = self.get_template()
progressDialog = QtGui.QProgressDialog('Opening...', "Cancel", 0,
len(index), self)
progressDialog.setWindowModality(QtCore.Qt.WindowModal)
progressDialog.show()
self.ui.imageListView.setModel(None)
if not drawing.is_available():
_logger.info("No PIL loaded")
self.advanced_settings.mark_image = False
if not plotting.is_available():
_logger.info("No matplotlib loaded")
self.advanced_settings.mark_image = False
current_powerspec = self.advanced_settings.current_powerspec
if current_powerspec:
if self.advanced_settings.invert:
_logger.info("Cannot invert a power spectra")
else:
if self.advanced_settings.center_mask > 0:
_logger.info("Cannot mask micrograph")
added_items = []
for i, (imgname, img, pixel_size) in enumerate(
iter_images(self.files, index, template)):
selimg = None
progressDialog.setValue(i + 1)
if hasattr(img, 'ndim'):
if current_powerspec and self.advanced_settings.center_mask > 0 and img.shape not in masks:
masks[img.shape] = ndimage_utility.model_disk(
self.advanced_settings.center_mask, img.shape) * -1 + 1
if self.advanced_settings.invert and not current_powerspec:
if img.max() != img.min(): ndimage_utility.invert(img, img)
img = ndimage_utility.replace_outlier(img,
nstd,
nstd,
replace='mean')
if self.advanced_settings.gaussian_high_pass > 0.0:
img = ndimage_filter.filter_gaussian_highpass(
img,
pixel_size / self.advanced_settings.gaussian_high_pass)
if self.advanced_settings.gaussian_low_pass > 0.0:
img = ndimage_filter.filter_gaussian_lowpass(
img,
pixel_size / self.advanced_settings.gaussian_low_pass)
if current_powerspec and self.advanced_settings.center_mask > 0:
#img[numpy.logical_not(masks[img.shape])] = numpy.mean(img[masks[img.shape]])
img *= masks[img.shape]
if bin_factor > 1.0:
img = ndimage_interpolate.interpolate(
img, bin_factor,
self.advanced_settings.downsample_type)
pixel_size *= bin_factor
img = self.display_powerspectra_1D(img, imgname, pixel_size)
img = self.display_resolution(img, imgname, pixel_size)
img = self.box_particles(img, imgname)
if self.advanced_settings.mark_image:
imgm = self.imageMarker(img)
selimg = qimage_utility.numpy_to_qimage(imgm)
qimg = qimage_utility.numpy_to_qimage(img)
if img.ndim == 2:
if self.base_level is not None:
qimg.setColorTable(self.color_level)
else:
self.base_level = qimg.colorTable()
self.color_level = qimage_utility.adjust_level(
qimage_utility.change_contrast, self.base_level,
self.ui.contrastSlider.value())
qimg.setColorTable(self.color_level)
else:
if self.base_level is None: self.base_level = []
self.base_level.append(qimg.colorTable())
self.color_level = qimage_utility.adjust_level(
qimage_utility.change_contrast, self.base_level[-1],
self.ui.contrastSlider.value())
qimg.setColorTable(self.color_level)
else:
qimg = img.convertToFormat(QtGui.QImage.Format_Indexed8)
if self.base_level is None: self.base_level = []
self.base_level.append(qimg.colorTable())
self.color_level = qimage_utility.adjust_level(
qimage_utility.change_contrast, self.base_level[-1],
self.ui.contrastSlider.value())
qimg.setColorTable(self.color_level)
self.loaded_images.append(qimg)
pix = QtGui.QPixmap.fromImage(qimg)
icon = QtGui.QIcon()
icon.addPixmap(pix, QtGui.QIcon.Normal)
if selimg is not None:
pix = QtGui.QPixmap.fromImage(selimg)
icon.addPixmap(pix, QtGui.QIcon.Selected)
if self.advanced_settings.show_label:
item = QtGui.QStandardItem(
icon,
"%s/%d" % (os.path.basename(imgname[0]), imgname[1] + 1))
else:
item = QtGui.QStandardItem(icon, "")
if hasattr(start, '__iter__'):
item.setData(start[i], QtCore.Qt.UserRole)
else:
item.setData(i + start, QtCore.Qt.UserRole)
self.addToolTipImage(imgname, item, pixel_size)
self.imageListModel.appendRow(item)
added_items.append(item)
self.ui.imageListView.setModel(self.imageListModel)
progressDialog.hide()
for item in added_items:
self.notify_added_item(item)
self.imagesize = img.shape[0] if hasattr(img, 'shape') else img.width()
n = max(5, int(self.imagesize * zoom))
self.ui.imageListView.setIconSize(QtCore.QSize(n, n))
batch_count = numpy.ceil(
float(self.imageTotal()) / self.ui.imageCountSpinBox.value())
self.ui.pageSpinBox.setSuffix(" of %d" % batch_count)
self.ui.pageSpinBox.setMaximum(batch_count)
self.ui.actionForward.setEnabled(
self.ui.pageSpinBox.value() < batch_count)
self.ui.actionBackward.setEnabled(self.ui.pageSpinBox.value() > 0)
