# coding: utf-8 # /*########################################################################## # # Copyright (c) 2017 European Synchrotron Radiation Facility # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # # ###########################################################################*/ """Widget providing a set of tools to draw masks on a PlotWidget. This widget is meant to work with :class:`silx.gui.plot.PlotWidget`. - :class:`ImageMask`: Handle mask bitmap update and history - :class:`MaskToolsWidget`: GUI for :class:`Mask` - :class:`MaskToolsDockWidget`: DockWidget to integrate in :class:`PlotWindow` """ from __future__ import division __authors__ = ["T. Vincent", "P. Knobel"] __license__ = "MIT" __date__ = "20/06/2017" import os import sys import numpy import logging import collections from silx.image import shapes from ._BaseMaskToolsWidget import BaseMask, BaseMaskToolsWidget, BaseMaskToolsDockWidget from . import items from .Colors import cursorColorForColormap, rgba from .. import qt from silx.third_party.EdfFile import EdfFile from silx.third_party.TiffIO import TiffIO try: import fabio except ImportError: fabio = None _logger = logging.getLogger(__name__) class ImageMask(BaseMask): """A 2D mask field with update operations. Coords follows (row, column) convention and are in mask array coords. This is meant for internal use by :class:`MaskToolsWidget`. """ def __init__(self, image=None): """ :param image: :class:`silx.gui.plot.items.ImageBase` instance """ BaseMask.__init__(self, image) def getDataValues(self): """Return image data as a 2D or 3D array (if it is a RGBA image). :rtype: 2D or 3D numpy.ndarray """ return self._dataItem.getData(copy=False) def save(self, filename, kind): """Save current mask in a file :param str filename: The file where to save to mask :param str kind: The kind of file to save in 'edf', 'tif', 'npy', or 'msk' (if FabIO is installed) :raise Exception: Raised if the file writing fail """ if kind == 'edf': edfFile = EdfFile(filename, access="w+") edfFile.WriteImage({}, self.getMask(copy=False), Append=0) elif kind == 'tif': tiffFile = TiffIO(filename, mode='w') tiffFile.writeImage(self.getMask(copy=False), software='silx') elif kind == 'npy': try: numpy.save(filename, self.getMask(copy=False)) except IOError: raise RuntimeError("Mask file can't be written") elif kind == 'msk': if fabio is None: raise ImportError("Fit2d mask files can't be written: Fabio module is not available") try: data = self.getMask(copy=False) image = fabio.fabioimage.FabioImage(data=data) image = image.convert(fabio.fit2dmaskimage.Fit2dMaskImage) image.save(filename) except Exception: _logger.debug("Backtrace", exc_info=True) raise RuntimeError("Mask file can't be written") else: raise ValueError("Format '%s' is not supported" % kind) # Drawing operations def updateRectangle(self, level, row, col, height, width, mask=True): """Mask/Unmask a rectangle of the given mask level. :param int level: Mask level to update. :param int row: Starting row of the rectangle :param int col: Starting column of the rectangle :param int height: :param int width: :param bool mask: True to mask (default), False to unmask. """ assert 0 < level < 256 selection = self._mask[max(0, row):row + height + 1, max(0, col):col + width + 1] if mask: selection[:, :] = level else: selection[selection == level] = 0 self._notify() def updatePolygon(self, level, vertices, mask=True): """Mask/Unmask a polygon of the given mask level. :param int level: Mask level to update. :param vertices: Nx2 array of polygon corners as (row, col) :param bool mask: True to mask (default), False to unmask. """ fill = shapes.polygon_fill_mask(vertices, self._mask.shape) if mask: self._mask[fill != 0] = level else: self._mask[numpy.logical_and(fill != 0, self._mask == level)] = 0 self._notify() def updatePoints(self, level, rows, cols, mask=True): """Mask/Unmask points with given coordinates. :param int level: Mask level to update. :param rows: Rows of selected points :type rows: 1D numpy.ndarray :param cols: Columns of selected points :type cols: 1D numpy.ndarray :param bool mask: True to mask (default), False to unmask. """ valid = numpy.logical_and( numpy.logical_and(rows >= 0, cols >= 0), numpy.logical_and(rows < self._mask.shape[0], cols < self._mask.shape[1])) rows, cols = rows[valid], cols[valid] if mask: self._mask[rows, cols] = level else: inMask = self._mask[rows, cols] == level self._mask[rows[inMask], cols[inMask]] = 0 self._notify() def updateDisk(self, level, crow, ccol, radius, mask=True): """Mask/Unmask a disk of the given mask level. :param int level: Mask level to update. :param int crow: Disk center row. :param int ccol: Disk center column. :param float radius: Radius of the disk in mask array unit :param bool mask: True to mask (default), False to unmask. """ rows, cols = shapes.circle_fill(crow, ccol, radius) self.updatePoints(level, rows, cols, mask) def updateLine(self, level, row0, col0, row1, col1, width, mask=True): """Mask/Unmask a line of the given mask level. :param int level: Mask level to update. :param int row0: Row of the starting point. :param int col0: Column of the starting point. :param int row1: Row of the end point. :param int col1: Column of the end point. :param int width: Width of the line in mask array unit. :param bool mask: True to mask (default), False to unmask. """ rows, cols = shapes.draw_line(row0, col0, row1, col1, width) self.updatePoints(level, rows, cols, mask) class MaskToolsWidget(BaseMaskToolsWidget): """Widget with tools for drawing mask on an image in a PlotWidget.""" _maxLevelNumber = 255 def __init__(self, parent=None, plot=None): super(MaskToolsWidget, self).__init__(parent, plot, mask=ImageMask()) self._origin = (0., 0.) # Mask origin in plot self._scale = (1., 1.) # Mask scale in plot self._z = 1 # Mask layer in plot self._data = numpy.zeros((0, 0), dtype=numpy.uint8) # Store image def setSelectionMask(self, mask, copy=True): """Set the mask to a new array. :param numpy.ndarray mask: The array to use for the mask. :type mask: numpy.ndarray of uint8 of dimension 2, C-contiguous. Array of other types are converted. :param bool copy: True (the default) to copy the array, False to use it as is if possible. :return: None if failed, shape of mask as 2-tuple if successful. The mask can be cropped or padded to fit active image, the returned shape is that of the active image. """ mask = numpy.array(mask, copy=False, dtype=numpy.uint8) if len(mask.shape) != 2: _logger.error('Not an image, shape: %d', len(mask.shape)) return None # ensure all mask attributes are synchronized with the active image # and connect listener activeImage = self.plot.getActiveImage() if activeImage is not None and activeImage.getLegend() != self._maskName: self._activeImageChanged() self.plot.sigActiveImageChanged.connect(self._activeImageChanged) if self._data.shape[0:2] == (0, 0) or mask.shape == self._data.shape[0:2]: self._mask.setMask(mask, copy=copy) self._mask.commit() return mask.shape else: _logger.warning('Mask has not the same size as current image.' ' Mask will be cropped or padded to fit image' ' dimensions. %s != %s', str(mask.shape), str(self._data.shape)) resizedMask = numpy.zeros(self._data.shape[0:2], dtype=numpy.uint8) height = min(self._data.shape[0], mask.shape[0]) width = min(self._data.shape[1], mask.shape[1]) resizedMask[:height, :width] = mask[:height, :width] self._mask.setMask(resizedMask, copy=False) self._mask.commit() return resizedMask.shape # Handle mask refresh on the plot def _updatePlotMask(self): """Update mask image in plot""" mask = self.getSelectionMask(copy=False) if len(mask): # get the mask from the plot maskItem = self.plot.getImage(self._maskName) mustBeAdded = maskItem is None if mustBeAdded: maskItem = items.MaskImageData() maskItem._setLegend(self._maskName) # update the items maskItem.setData(mask, copy=False) maskItem.setColormap(self._colormap) maskItem.setOrigin(self._origin) maskItem.setScale(self._scale) maskItem.setZValue(self._z) if mustBeAdded: self.plot._add(maskItem) elif self.plot.getImage(self._maskName): self.plot.remove(self._maskName, kind='image') def showEvent(self, event): try: self.plot.sigActiveImageChanged.disconnect( self._activeImageChangedAfterCare) except (RuntimeError, TypeError): pass self._activeImageChanged() # Init mask + enable/disable widget self.plot.sigActiveImageChanged.connect(self._activeImageChanged) def hideEvent(self, event): try: self.plot.sigActiveImageChanged.disconnect( self._activeImageChanged) except (RuntimeError, TypeError): pass if not self.browseAction.isChecked(): self.browseAction.trigger() # Disable drawing tool if len(self.getSelectionMask(copy=False)): self.plot.sigActiveImageChanged.connect( self._activeImageChangedAfterCare) def _setOverlayColorForImage(self, image): """Set the color of overlay adapted to image :param image: :class:`.items.ImageBase` object to set color for. """ if isinstance(image, items.ColormapMixIn): colormap = image.getColormap() self._defaultOverlayColor = rgba( cursorColorForColormap(colormap['name'])) else: self._defaultOverlayColor = rgba('black') def _activeImageChangedAfterCare(self, *args): """Check synchro of active image and mask when mask widget is hidden. If active image has no more the same size as the mask, the mask is removed, otherwise it is adjusted to origin, scale and z. """ activeImage = self.plot.getActiveImage() if activeImage is None or activeImage.getLegend() == self._maskName: # No active image or active image is the mask... self.plot.sigActiveImageChanged.disconnect( self._activeImageChangedAfterCare) else: self._setOverlayColorForImage(activeImage) self._setMaskColors(self.levelSpinBox.value(), self.transparencySlider.value() / self.transparencySlider.maximum()) self._origin = activeImage.getOrigin() self._scale = activeImage.getScale() self._z = activeImage.getZValue() + 1 self._data = activeImage.getData(copy=False) if self._data.shape[:2] != self.getSelectionMask(copy=False).shape: # Image has not the same size, remove mask and stop listening if self.plot.getImage(self._maskName): self.plot.remove(self._maskName, kind='image') self.plot.sigActiveImageChanged.disconnect( self._activeImageChangedAfterCare) else: # Refresh in case origin, scale, z changed self._mask.setDataItem(activeImage) self._updatePlotMask() def _activeImageChanged(self, *args): """Update widget and mask according to active image changes""" activeImage = self.plot.getActiveImage() if (activeImage is None or activeImage.getLegend() == self._maskName or activeImage.getData(copy=False).size == 0): # No active image or active image is the mask or image has no data... self.setEnabled(False) self._data = numpy.zeros((0, 0), dtype=numpy.uint8) self._mask.reset() self._mask.commit() else: # There is an active image self.setEnabled(True) self._setOverlayColorForImage(activeImage) self._setMaskColors(self.levelSpinBox.value(), self.transparencySlider.value() / self.transparencySlider.maximum()) self._origin = activeImage.getOrigin() self._scale = activeImage.getScale() self._z = activeImage.getZValue() + 1 self._data = activeImage.getData(copy=False) self._mask.setDataItem(activeImage) if self._data.shape[:2] != self.getSelectionMask(copy=False).shape: self._mask.reset(self._data.shape[:2]) self._mask.commit() else: # Refresh in case origin, scale, z changed self._updatePlotMask() # Threshold tools only available for data with colormap self.thresholdGroup.setEnabled(self._data.ndim == 2) self._updateInteractiveMode() # Handle whole mask operations def load(self, filename): """Load a mask from an image file. :param str filename: File name from which to load the mask :raise Exception: An exception in case of failure :raise RuntimeWarning: In case the mask was applied but with some import changes to notice """ _, extension = os.path.splitext(filename) extension = extension.lower()[1:] if extension == "npy": try: mask = numpy.load(filename) except IOError: _logger.error("Can't load filename '%s'", filename) _logger.debug("Backtrace", exc_info=True) raise RuntimeError('File "%s" is not a numpy file.', filename) elif extension in ["tif", "tiff"]: try: image = TiffIO(filename, mode="r") mask = image.getImage(0) except Exception as e: _logger.error("Can't load filename %s", filename) _logger.debug("Backtrace", exc_info=True) raise e elif extension == "edf": try: mask = EdfFile(filename, access='r').GetData(0) except Exception as e: _logger.error("Can't load filename %s", filename) _logger.debug("Backtrace", exc_info=True) raise e elif extension == "msk": if fabio is None: raise ImportError("Fit2d mask files can't be read: Fabio module is not available") try: mask = fabio.open(filename).data except Exception as e: _logger.error("Can't load fit2d mask file") _logger.debug("Backtrace", exc_info=True) raise e else: msg = "Extension '%s' is not supported." raise RuntimeError(msg % extension) effectiveMaskShape = self.setSelectionMask(mask, copy=False) if effectiveMaskShape is None: return if mask.shape != effectiveMaskShape: msg = 'Mask was resized from %s to %s' msg = msg % (str(mask.shape), str(effectiveMaskShape)) raise RuntimeWarning(msg) def _loadMask(self): """Open load mask dialog""" dialog = qt.QFileDialog(self) dialog.setWindowTitle("Load Mask") dialog.setModal(1) extensions = collections.OrderedDict() extensions["EDF files"] = "*.edf" extensions["TIFF files"] = "*.tif *.tiff" extensions["NumPy binary files"] = "*.npy" # Fit2D mask is displayed anyway fabio is here or not # to show to the user that the option exists extensions["Fit2D mask files"] = "*.msk" filters = [] filters.append("All supported files (%s)" % " ".join(extensions.values())) for name, extension in extensions.items(): filters.append("%s (%s)" % (name, extension)) filters.append("All files (*)") dialog.setNameFilters(filters) dialog.setFileMode(qt.QFileDialog.ExistingFile) dialog.setDirectory(self.maskFileDir) if not dialog.exec_(): dialog.close() return filename = dialog.selectedFiles()[0] dialog.close() self.maskFileDir = os.path.dirname(filename) try: self.load(filename) except RuntimeWarning as e: message = e.args[0] msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Warning) msg.setText("Mask loaded but an operation was applied.\n" + message) msg.exec_() except Exception as e: message = e.args[0] msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Cannot load mask from file. " + message) msg.exec_() def _saveMask(self): """Open Save mask dialog""" dialog = qt.QFileDialog(self) dialog.setWindowTitle("Save Mask") dialog.setModal(1) filters = [ 'EDF (*.edf)', 'TIFF (*.tif)', 'NumPy binary file (*.npy)', # Fit2D mask is displayed anyway fabio is here or not # to show to the user that the option exists 'Fit2D mask (*.msk)', ] dialog.setNameFilters(filters) dialog.setFileMode(qt.QFileDialog.AnyFile) dialog.setAcceptMode(qt.QFileDialog.AcceptSave) dialog.setDirectory(self.maskFileDir) if not dialog.exec_(): dialog.close() return # convert filter name to extension name with the . extension = dialog.selectedNameFilter().split()[-1][2:-1] filename = dialog.selectedFiles()[0] dialog.close() if not filename.lower().endswith(extension): filename += extension if os.path.exists(filename): try: os.remove(filename) except IOError: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Cannot save.\n" "Input Output Error: %s" % (sys.exc_info()[1])) msg.exec_() return self.maskFileDir = os.path.dirname(filename) try: self.save(filename, extension[1:]) except Exception as e: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Cannot save file %s\n%s" % (filename, e.args[0])) msg.exec_() def resetSelectionMask(self): """Reset the mask""" self._mask.reset(shape=self._data.shape[:2]) self._mask.commit() def _plotDrawEvent(self, event): """Handle draw events from the plot""" if (self._drawingMode is None or event['event'] not in ('drawingProgress', 'drawingFinished')): return if not len(self._data): return level = self.levelSpinBox.value() if (self._drawingMode == 'rectangle' and event['event'] == 'drawingFinished'): # Convert from plot to array coords doMask = self._isMasking() ox, oy = self._origin sx, sy = self._scale height = int(abs(event['height'] / sy)) width = int(abs(event['width'] / sx)) row = int((event['y'] - oy) / sy) if sy < 0: row -= height col = int((event['x'] - ox) / sx) if sx < 0: col -= width self._mask.updateRectangle( level, row=row, col=col, height=height, width=width, mask=doMask) self._mask.commit() elif (self._drawingMode == 'polygon' and event['event'] == 'drawingFinished'): doMask = self._isMasking() # Convert from plot to array coords vertices = (event['points'] - self._origin) / self._scale vertices = vertices.astype(numpy.int)[:, (1, 0)] # (row, col) self._mask.updatePolygon(level, vertices, doMask) self._mask.commit() elif self._drawingMode == 'pencil': doMask = self._isMasking() # convert from plot to array coords col, row = (event['points'][-1] - self._origin) / self._scale col, row = int(col), int(row) brushSize = self.pencilSpinBox.value() if self._lastPencilPos != (row, col): if self._lastPencilPos is not None: # Draw the line self._mask.updateLine( level, self._lastPencilPos[0], self._lastPencilPos[1], row, col, brushSize, doMask) # Draw the very first, or last point self._mask.updateDisk(level, row, col, brushSize / 2., doMask) if event['event'] == 'drawingFinished': self._mask.commit() self._lastPencilPos = None else: self._lastPencilPos = row, col def _loadRangeFromColormapTriggered(self): """Set range from active image colormap range""" activeImage = self.plot.getActiveImage() if (isinstance(activeImage, items.ColormapMixIn) and activeImage.getLegend() != self._maskName): # Update thresholds according to colormap colormap = activeImage.getColormap() if colormap['autoscale']: min_ = numpy.nanmin(activeImage.getData(copy=False)) max_ = numpy.nanmax(activeImage.getData(copy=False)) else: min_, max_ = colormap['vmin'], colormap['vmax'] self.minLineEdit.setText(str(min_)) self.maxLineEdit.setText(str(max_)) class MaskToolsDockWidget(BaseMaskToolsDockWidget): """:class:`MaskToolsWidget` embedded in a QDockWidget. For integration in a :class:`PlotWindow`. :param parent: See :class:`QDockWidget` :param plot: The PlotWidget this widget is operating on :paran str name: The title of this widget """ def __init__(self, parent=None, plot=None, name='Mask'): widget = MaskToolsWidget(plot=plot) super(MaskToolsDockWidget, self).__init__(parent, name, widget)