def __init__(self, parent=None, *args, **kargs):
background = kargs.get('background', 'default')
GraphicsView.__init__(self, parent, useOpenGL=False, background=background)
self.item = HistogramLUTItem(*args, **kargs)
self.setCentralItem(self.item)
self.setSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.QSizePolicy.Expanding)
self.setMinimumWidth(95)
def __init__(self, name: str = "MIMiniImageView"):
super().__init__()
self.name = name.title()
self.im = ImageItem()
self.vb = ViewBox(invertY=True, lockAspect=True, name=name)
self.vb.addItem(self.im)
self.hist = HistogramLUTItem(self.im)
graveyard.append(self.vb)
# Sub-layout prevents resizing issues when details text changes
image_layout = self.addLayout(colspan=2)
image_layout.addItem(self.vb)
image_layout.addItem(self.hist)
self.hist.setFixedWidth(100) # HistogramLUTItem used pixel sizes
self.nextRow()
self.details = self.addLabel("", colspan=2)
self.im.hoverEvent = lambda ev: self.mouse_over(ev)
self.axis_siblings: "WeakSet[MIMiniImageView]" = WeakSet()
self.histogram_siblings: "WeakSet[MIMiniImageView]" = WeakSet()
def image_in_vb(self, name=None):
im = ImageItem()
vb = ViewBox(invertY=True, lockAspect=True, name=name)
vb.addItem(im)
hist = HistogramLUTItem(im)
return im, vb, hist
class MIMiniImageView(GraphicsLayout, BadDataOverlay):
def __init__(self, name: str = "MIMiniImageView"):
super().__init__()
self.name = name.title()
self.im = ImageItem()
self.vb = ViewBox(invertY=True, lockAspect=True, name=name)
self.vb.addItem(self.im)
self.hist = HistogramLUTItem(self.im)
graveyard.append(self.vb)
# Sub-layout prevents resizing issues when details text changes
image_layout = self.addLayout(colspan=2)
image_layout.addItem(self.vb)
image_layout.addItem(self.hist)
self.hist.setFixedWidth(100) # HistogramLUTItem used pixel sizes
self.nextRow()
self.details = self.addLabel("", colspan=2)
self.im.hoverEvent = lambda ev: self.mouse_over(ev)
self.axis_siblings: "WeakSet[MIMiniImageView]" = WeakSet()
self.histogram_siblings: "WeakSet[MIMiniImageView]" = WeakSet()
@property
def image_item(self) -> ImageItem:
return self.im
@property
def viewbox(self) -> ViewBox:
return self.vb
def clear(self):
self.im.clear()
def setImage(self, *args, **kwargs):
self.im.setImage(*args, **kwargs)
self.check_for_bad_data()
@staticmethod
def set_siblings(sibling_views: List["MIMiniImageView"],
axis=False,
hist=False):
for view1 in sibling_views:
for view2 in sibling_views:
if view2 is not view1:
if axis:
view1.add_axis_sibling(view2)
if hist:
view1.add_hist_sibling(view2)
def add_axis_sibling(self, sibling: "MIMiniImageView"):
self.axis_siblings.add(sibling)
def add_hist_sibling(self, sibling: "MIMiniImageView"):
self.histogram_siblings.add(sibling)
def get_parts(self) -> Tuple[ImageItem, ViewBox, HistogramLUTItem]:
return self.im, self.vb, self.hist
def mouse_over(self, ev):
# Ignore events triggered by leaving window or right clicking
if ev.exit:
return
pos = CloseEnoughPoint(ev.pos())
self.show_value(pos)
for img_view in self.axis_siblings:
img_view.show_value(pos)
def show_value(self, pos):
image = self.im.image
if image is not None and pos.y < image.shape[
0] and pos.x < image.shape[1]:
pixel_value = image[pos.y, pos.x]
value_string = ("%.6f" % pixel_value)[:8]
self.details.setText(f"{self.name}: {value_string}")
def link_sibling_axis(self):
# Linking multiple viewboxes with locked aspect ratios causes
# odd resizing behaviour. Use workaround from
# https://github.com/pyqtgraph/pyqtgraph/issues/1348
self.vb.setAspectLocked(True)
for view1, view2 in pairwise(chain([self], self.axis_siblings)):
view2.vb.linkView(ViewBox.XAxis, view1.vb)
view2.vb.linkView(ViewBox.YAxis, view1.vb)
view2.vb.setAspectLocked(False)
def unlink_sibling_axis(self):
for img_view in chain([self], self.axis_siblings):
img_view.vb.linkView(ViewBox.XAxis, None)
img_view.vb.linkView(ViewBox.YAxis, None)
img_view.vb.setAspectLocked(True)
def link_sibling_histogram(self):
for view1, view2 in pairwise(chain([self], self.histogram_siblings)):
view1.hist.vb.linkView(ViewBox.YAxis, view2.hist.vb)
for img_view in chain([self], self.histogram_siblings):
img_view.hist.sigLevelChangeFinished.connect(
img_view.update_sibling_histograms)
def unlink_sibling_histogram(self):
for img_view in chain([self], self.histogram_siblings):
img_view.hist.vb.linkView(ViewBox.YAxis, None)
try:
img_view.hist.sigLevelChangeFinished.disconnect()
except TypeError:
# This is expected if there are slots currently connected
pass
def update_sibling_histograms(self):
hist_range = self.hist.getLevels()
for img_view in self.histogram_siblings:
with BlockQtSignals(img_view.hist):
img_view.hist.setLevels(*hist_range)
def __init__(self, image=None, fillHistogram=True):
"""
If *image* (ImageItem) is provided, then the control will be automatically linked
to the image and changes to the control will be immediately reflected in the image's appearance.
By default, the histogram is rendered with a fill. For performance, set *fillHistogram* = False.
"""
HistogramLUTItem.__init__(self, image, fillHistogram)
self.layout = QtGui.QGraphicsGridLayout()
self.layout.setContentsMargins(1, 1, 1, 1)
self.layout.setSpacing(0)
# the viewbox in which would be displayed the histogram
# get a new and descriptive name for the view box
self.view_boxHistogram = self.vb
self.view_boxHistogram = ViewBox()
self.view_boxHistogram.setMaximumHeight(self.HISTOGRAM_MAX_HEIGHT)
self.view_boxHistogram.setMinimumHeight(self.HISTOGRAM_MIN_HEIGHT)
self.view_boxHistogram.setMouseEnabled(x=False, y=False)
# set defaults gradient position and color bar
self.gradient.setOrientation('bottom')
self.gradient.loadPreset('thermal')
# todo remove this parche the region of threshold selection
self.region.setVisible(False)
self._region = LinearRegionItem(values=[-40, 0], orientation=LinearRegionItem.Vertical)
self.view_boxHistogram.addItem(self._region)
self.axis = AxisItem('top', linkView=self.view_boxHistogram, maxTickLength=-10, showValues=False)
self.layout.addItem(self.axis, 0, 0)
self.layout.addItem(self.view_boxHistogram, 1, 0)
self.layout.addItem(self.gradient, 2, 0)
self.gradient.setFlag(self.gradient.ItemStacksBehindParent)
self.view_boxHistogram.setFlag(self.gradient.ItemStacksBehindParent)
self.plot = PlotDataItem()
self.fillHistogram(fillHistogram)
self.view_boxHistogram.addItem(self.plot)
self.autoHistogramRange()
# set the fixed range of visualization
self.view_boxHistogram.setXRange(-120, 5)
self._region.setBounds((-120, 5))
y_range = self.view_boxHistogram.viewRange()[1]
# the minThresholdLabel and maxThresholdLabel labels
self.minThresholdLabel = pg.TextItem(self.tr(u'Min'), color=(255, 255, 255), anchor=(1, 0.5))
self.view_boxHistogram.addItem(self.minThresholdLabel)
self.maxThresholdLabel = pg.TextItem(self.tr(u'Max'), color=(255, 255, 255), anchor=(0, 0.5))
self.view_boxHistogram.addItem(self.maxThresholdLabel)
self.gradient.sigGradientChanged.connect(self.gradientChanged)
self._region.sigRegionChanged.connect(self.regionChanging)
self._region.sigRegionChangeFinished.connect(self.regionChanged)
labels_ypos = self.view_boxHistogram.viewRange()[1][1] * 0.7
self.maxThresholdLabel.setPos(self._region.getRegion()[1], labels_ypos)
self.minThresholdLabel.setPos(self._region.getRegion()[0], labels_ypos)
# update the tooltips and position of the limit labels
self._region.sigRegionChangeFinished.connect(
lambda: self.maxThresholdLabel.setToolTip(self.tr(u'Max Threshold') + u": " +
unicode(round(self._region.getRegion()[1],
self.DECIMAL_PLACES))))
self._region.sigRegionChangeFinished.connect(
lambda: self.minThresholdLabel.setToolTip(self.tr(u'Min Threshold') + u": " +
unicode(round(self._region.getRegion()[0],
self.DECIMAL_PLACES))))
# set the y position of the labels to the 70% of the visible y range of the viewbox
self._region.sigRegionChanged.connect(
lambda: self.maxThresholdLabel.setPos(self._region.getRegion()[1],
self.view_boxHistogram.viewRange()[1][1] * 0.7))
self._region.sigRegionChanged.connect(
lambda: self.minThresholdLabel.setPos(self._region.getRegion()[0],
self.view_boxHistogram.viewRange()[1][1] * 0.7))
if image is not None:
self.setImageItem(image)
self.setLayout(self.layout)