class ImageControlDialog(QDialog):
def __init__(self, parent, rc, imgman):
"""An ImageControlDialog is initialized with a parent widget, a RenderControl object,
and an ImageManager object"""
QDialog.__init__(self, parent)
image = rc.image
self.setWindowTitle("%s: Colour Controls" % image.name)
self.setWindowIcon(pixmaps.colours.icon())
self.setModal(False)
self.image = image
self._rc = rc
self._imgman = imgman
self._currier = PersistentCurrier()
# init internal state
self._prev_range = self._display_range = None, None
self._hist = None
self._geometry = None
# create layouts
lo0 = QVBoxLayout(self)
# lo0.setContentsMargins(0,0,0,0)
# histogram plot
whide = self.makeButton("Hide", self.hide, width=128)
whide.setShortcut(Qt.Key_F9)
lo0.addWidget(Separator(self, "Histogram and ITF", extra_widgets=[whide]))
lo1 = QHBoxLayout()
lo1.setContentsMargins(0, 0, 0, 0)
self._histplot = QwtPlot(self)
self._histplot.setAutoDelete(False)
lo1.addWidget(self._histplot, 1)
lo2 = QHBoxLayout()
lo2.setContentsMargins(0, 0, 0, 0)
lo2.setSpacing(2)
lo0.addLayout(lo2)
lo0.addLayout(lo1)
self._wautozoom = QCheckBox("autozoom", self)
self._wautozoom.setChecked(True)
self._wautozoom.setToolTip("""<P>If checked, then the histrogram plot will zoom in automatically when
you narrow the current intensity range.</P>""")
self._wlogy = QCheckBox("log Y", self)
self._wlogy.setChecked(True)
self._ylogscale = True
self._wlogy.setToolTip(
"""<P>If checked, a log-scale Y axis is used for the histogram plot instead of a linear one.""")
QObject.connect(self._wlogy, SIGNAL("toggled(bool)"), self._setHistLogScale)
self._whistunzoom = self.makeButton("", self._unzoomHistogram, icon=pixmaps.full_range.icon())
self._whistzoomout = self.makeButton("-", self._currier.curry(self._zoomHistogramByFactor, math.sqrt(.1)))
self._whistzoomin = self.makeButton("+", self._currier.curry(self._zoomHistogramByFactor, math.sqrt(10)))
self._whistzoomin.setToolTip("""<P>Click to zoom into the histogram plot by one step. This does not
change the current intensity range.</P>""")
self._whistzoomout.setToolTip("""<P>Click to zoom out of the histogram plot by one step. This does not
change the current intensity range.</P>""")
self._whistunzoom.setToolTip("""<P>Click to reset the histogram plot back to its full extent.
This does not change the current intensity range.</P>""")
self._whistzoom = QwtWheel(self)
self._whistzoom.setOrientation(Qt.Horizontal)
self._whistzoom.setMaximumWidth(80)
self._whistzoom.setRange(10, 0)
self._whistzoom.setStep(0.1)
self._whistzoom.setTickCnt(30)
self._whistzoom.setTracking(False)
QObject.connect(self._whistzoom, SIGNAL("valueChanged(double)"), self._zoomHistogramFinalize)
QObject.connect(self._whistzoom, SIGNAL("sliderMoved(double)"), self._zoomHistogramPreview)
self._whistzoom.setToolTip("""<P>Use this wheel control to zoom in/out of the histogram plot.
This does not change the current intensity range.
Note that the zoom wheel should also respond to your mouse wheel, if you have one.</P>""")
# This works around a stupid bug in QwtSliders -- when using the mousewheel, only sliderMoved() signals are emitted,
# with no final valueChanged(). If we want to do a fast preview of something on sliderMoved(), and a "slow" final
# step on valueChanged(), we're in trouble. So we start a timer on sliderMoved(), and if the timer expires without
# anything else happening, do a valueChanged().
# Here we use a timer to call zoomHistogramFinalize() w/o an argument.
self._whistzoom_timer = QTimer(self)
self._whistzoom_timer.setSingleShot(True)
self._whistzoom_timer.setInterval(500)
QObject.connect(self._whistzoom_timer, SIGNAL("timeout()"), self._zoomHistogramFinalize)
# set same size for all buttons and controls
width = 24
for w in self._whistunzoom, self._whistzoomin, self._whistzoomout:
w.setMinimumSize(width, width)
w.setMaximumSize(width, width)
self._whistzoom.setMinimumSize(80, width)
self._wlab_histpos_text = "(hover here for help)"
self._wlab_histpos = QLabel(self._wlab_histpos_text, self)
self._wlab_histpos.setToolTip("""
<P>The plot shows a histogram of either the full image or its selected subset
(as per the "Data subset" section below).</P>
<P>The current intensity range is indicated by the grey box
in the plot.</P>
<P>Use the left mouse button to change the low intensity limit, and the right
button (on Macs, use Ctrl-click) to change the high limit.</P>
<P>Use Shift with the left mouse button to zoom into an area of the histogram,
or else use the "zoom wheel" control or the plus/minus toolbuttons above the histogram to zoom in or out.
To zoom back out to the full extent of the histogram, click on the rightmost button above the histogram.</P>
""")
lo2.addWidget(self._wlab_histpos, 1)
lo2.addWidget(self._wautozoom)
lo2.addWidget(self._wlogy, 0)
lo2.addWidget(self._whistzoomin, 0)
lo2.addWidget(self._whistzoom, 0)
lo2.addWidget(self._whistzoomout, 0)
lo2.addWidget(self._whistunzoom, 0)
self._zooming_histogram = False
sliced_axes = rc.slicedAxes()
dprint(1, "sliced axes are", sliced_axes)
self._stokes_axis = None
# subset indication
lo0.addWidget(Separator(self, "Data subset"))
# sliced axis selectors
self._wslicers = []
if sliced_axes:
lo1 = QHBoxLayout()
lo1.setContentsMargins(0, 0, 0, 0)
lo1.setSpacing(2)
lo0.addLayout(lo1)
lo1.addWidget(QLabel("Current slice: ", self))
for i, (iextra, name, labels) in enumerate(sliced_axes):
lo1.addWidget(QLabel("%s:" % name, self))
if name == "STOKES":
self._stokes_axis = iextra
# add controls
wslicer = QComboBox(self)
self._wslicers.append(wslicer)
wslicer.addItems(labels)
wslicer.setToolTip("""<P>Selects current slice along the %s axis.</P>""" % name)
wslicer.setCurrentIndex(self._rc.currentSlice()[iextra])
QObject.connect(wslicer, SIGNAL("activated(int)"), self._currier.curry(self._rc.changeSlice, iextra))
lo2 = QVBoxLayout()
lo1.addLayout(lo2)
lo2.setContentsMargins(0, 0, 0, 0)
lo2.setSpacing(0)
wminus = QToolButton(self)
wminus.setArrowType(Qt.UpArrow)
QObject.connect(wminus, SIGNAL("clicked()"), self._currier.curry(self._rc.incrementSlice, iextra, 1))
if i == 0:
wminus.setShortcut(Qt.SHIFT + Qt.Key_F7)
elif i == 1:
wminus.setShortcut(Qt.SHIFT + Qt.Key_F8)
wplus = QToolButton(self)
wplus.setArrowType(Qt.DownArrow)
QObject.connect(wplus, SIGNAL("clicked()"), self._currier.curry(self._rc.incrementSlice, iextra, -1))
if i == 0:
wplus.setShortcut(Qt.Key_F7)
elif i == 1:
wplus.setShortcut(Qt.Key_F8)
wminus.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Fixed)
wplus.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Fixed)
sz = QSize(12, 8)
wminus.setMinimumSize(sz)
wplus.setMinimumSize(sz)
wminus.resize(sz)
wplus.resize(sz)
lo2.addWidget(wminus)
lo2.addWidget(wplus)
lo1.addWidget(wslicer)
lo1.addSpacing(5)
lo1.addStretch(1)
# subset indicator
lo1 = QHBoxLayout()
lo1.setContentsMargins(0, 0, 0, 0)
lo1.setSpacing(2)
lo0.addLayout(lo1)
self._wlab_subset = QLabel("Subset: xxx", self)
self._wlab_subset.setToolTip("""<P>This indicates the current data subset to which the histogram
and the stats given here apply. Use the "Reset to" control on the right to change the
current subset and recompute the histogram and stats.</P>""")
lo1.addWidget(self._wlab_subset, 1)
self._wreset_full = self.makeButton("\u2192 full", self._rc.setFullSubset)
lo1.addWidget(self._wreset_full)
if sliced_axes:
# if self._stokes_axis is not None and len(sliced_axes)>1:
# self._wreset_stokes = self.makeButton(u"\u21920Stokes",self._rc.setFullSubset)
self._wreset_slice = self.makeButton("\u2192 slice", self._rc.setSliceSubset)
lo1.addWidget(self._wreset_slice)
else:
self._wreset_slice = None
# min/max controls
lo1 = QHBoxLayout()
lo1.setContentsMargins(0, 0, 0, 0)
lo0.addLayout(lo1, 0)
self._wlab_stats = QLabel(self)
lo1.addWidget(self._wlab_stats, 0)
self._wmore_stats = self.makeButton("more...", self._showMeanStd)
self._wlab_stats.setMinimumHeight(self._wmore_stats.height())
lo1.addWidget(self._wmore_stats, 0)
lo1.addStretch(1)
# intensity controls
lo0.addWidget(Separator(self, "Intensity mapping"))
lo1 = QHBoxLayout()
lo1.setContentsMargins(0, 0, 0, 0)
lo1.setSpacing(2)
lo0.addLayout(lo1, 0)
self._range_validator = FloatValidator(self)
self._wrange = QLineEdit(self), QLineEdit(self)
self._wrange[0].setToolTip("""<P>This is the low end of the intensity range.</P>""")
self._wrange[1].setToolTip("""<P>This is the high end of the intensity range.</P>""")
for w in self._wrange:
w.setValidator(self._range_validator)
QObject.connect(w, SIGNAL("editingFinished()"), self._changeDisplayRange)
lo1.addWidget(QLabel("low:", self), 0)
lo1.addWidget(self._wrange[0], 1)
self._wrangeleft0 = self.makeButton("\u21920", self._setZeroLeftLimit, width=32)
self._wrangeleft0.setToolTip("""<P>Click this to set the low end of the intensity range to 0.</P>""")
lo1.addWidget(self._wrangeleft0, 0)
lo1.addSpacing(8)
lo1.addWidget(QLabel("high:", self), 0)
lo1.addWidget(self._wrange[1], 1)
lo1.addSpacing(8)
self._wrange_full = self.makeButton(None, self._setHistDisplayRange, icon=pixmaps.intensity_graph.icon())
lo1.addWidget(self._wrange_full)
self._wrange_full.setToolTip(
"""<P>Click this to reset the intensity range to the current extent of the histogram plot.</P>""")
# add menu for display range
range_menu = QMenu(self)
wrange_menu = QToolButton(self)
wrange_menu.setText("Reset to")
wrange_menu.setToolTip("""<P>Use this to reset the intensity range to various pre-defined settings.</P>""")
lo1.addWidget(wrange_menu)
self._qa_range_full = range_menu.addAction(pixmaps.full_range.icon(), "Full subset",
self._rc.resetSubsetDisplayRange)
self._qa_range_hist = range_menu.addAction(pixmaps.intensity_graph.icon(), "Current histogram limits",
self._setHistDisplayRange)
for percent in (99.99, 99.9, 99.5, 99, 98, 95):
range_menu.addAction("%g%%" % percent, self._currier.curry(self._changeDisplayRangeToPercent, percent))
wrange_menu.setMenu(range_menu)
wrange_menu.setPopupMode(QToolButton.InstantPopup)
lo1 = QGridLayout()
lo1.setContentsMargins(0, 0, 0, 0)
lo0.addLayout(lo1, 0)
self._wimap = QComboBox(self)
lo1.addWidget(QLabel("Intensity policy:", self), 0, 0)
lo1.addWidget(self._wimap, 1, 0)
self._wimap.addItems(rc.getIntensityMapNames())
QObject.connect(self._wimap, SIGNAL("currentIndexChanged(int)"), self._rc.setIntensityMapNumber)
self._wimap.setToolTip("""<P>Use this to change the type of the intensity transfer function (ITF).</P>""")
# log cycles control
lo1.setColumnStretch(1, 1)
self._wlogcycles_label = QLabel("Log cycles: ", self)
lo1.addWidget(self._wlogcycles_label, 0, 1)
# self._wlogcycles = QwtWheel(self)
# self._wlogcycles.setTotalAngle(360)
self._wlogcycles = QwtSlider(self)
self._wlogcycles.setToolTip(
"""<P>Use this to change the log-base for the logarithmic intensity transfer function (ITF).</P>""")
# This works around a stupid bug in QwtSliders -- see comments on histogram zoom wheel above
self._wlogcycles_timer = QTimer(self)
self._wlogcycles_timer.setSingleShot(True)
self._wlogcycles_timer.setInterval(500)
QObject.connect(self._wlogcycles_timer, SIGNAL("timeout()"), self._setIntensityLogCycles)
lo1.addWidget(self._wlogcycles, 1, 1)
self._wlogcycles.setRange(1., 10)
self._wlogcycles.setStep(0.1)
self._wlogcycles.setTracking(False)
QObject.connect(self._wlogcycles, SIGNAL("valueChanged(double)"), self._setIntensityLogCycles)
QObject.connect(self._wlogcycles, SIGNAL("sliderMoved(double)"), self._previewIntensityLogCycles)
self._updating_imap = False
# lock intensity map
lo1 = QHBoxLayout()
lo1.setContentsMargins(0, 0, 0, 0)
lo0.addLayout(lo1, 0)
# lo1.addWidget(QLabel("Lock range accross",self))
wlock = QCheckBox("Lock display range", self)
wlock.setToolTip("""<P>If checked, then the intensity range will be locked. The ranges of all locked images
change simultaneously.</P>""")
lo1.addWidget(wlock)
wlockall = QToolButton(self)
wlockall.setIcon(pixmaps.locked.icon())
wlockall.setText("Lock all to this")
wlockall.setToolButtonStyle(Qt.ToolButtonTextBesideIcon)
wlockall.setAutoRaise(True)
wlockall.setToolTip("""<P>Click this to lock together the intensity ranges of all images.</P>""")
lo1.addWidget(wlockall)
wunlockall = QToolButton(self)
wunlockall.setIcon(pixmaps.unlocked.icon())
wunlockall.setText("Unlock all")
wunlockall.setToolButtonStyle(Qt.ToolButtonTextBesideIcon)
wunlockall.setAutoRaise(True)
wunlockall.setToolTip("""<P>Click this to unlock the intensity ranges of all images.</P>""")
lo1.addWidget(wunlockall)
wlock.setChecked(self._rc.isDisplayRangeLocked())
QObject.connect(wlock, SIGNAL("clicked(bool)"), self._rc.lockDisplayRange)
QObject.connect(wlockall, SIGNAL("clicked()"),
self._currier.curry(self._imgman.lockAllDisplayRanges, self._rc))
QObject.connect(wunlockall, SIGNAL("clicked()"), self._imgman.unlockAllDisplayRanges)
QObject.connect(self._rc, SIGNAL("displayRangeLocked"), wlock.setChecked)
# self._wlock_imap_axis = [ QCheckBox(name,self) for iaxis,name,labels in sliced_axes ]
# for iw,w in enumerate(self._wlock_imap_axis):
# QObject.connect(w,SIGNAL("toggled(bool)"),self._currier.curry(self._rc.lockDisplayRangeForAxis,iw))
# lo1.addWidget(w,0)
lo1.addStretch(1)
# lo0.addWidget(Separator(self,"Colourmap"))
# color bar
self._colorbar = QwtPlot(self)
lo0.addWidget(self._colorbar)
self._colorbar.setAutoDelete(False)
self._colorbar.setMinimumHeight(32)
self._colorbar.enableAxis(QwtPlot.yLeft, False)
self._colorbar.enableAxis(QwtPlot.xBottom, False)
# color plot
self._colorplot = QwtPlot(self)
lo0.addWidget(self._colorplot)
self._colorplot.setAutoDelete(False)
self._colorplot.setMinimumHeight(64)
self._colorplot.enableAxis(QwtPlot.yLeft, False)
self._colorplot.enableAxis(QwtPlot.xBottom, False)
# self._colorplot.setSizePolicy(QSizePolicy.Expanding,QSizePolicy.Preferred)
self._colorbar.hide()
self._colorplot.hide()
# color controls
lo1 = QHBoxLayout()
lo1.setContentsMargins(0, 0, 0, 0)
lo0.addLayout(lo1, 1)
lo1.addWidget(QLabel("Colourmap:", self))
# colormap list
### NB: use setIconSize() and icons in QComboBox!!!
self._wcolmaps = QComboBox(self)
self._wcolmaps.setIconSize(QSize(128, 16))
self._wcolmaps.setToolTip("""<P>Use this to select a different colourmap.</P>""")
for cmap in self._rc.getColormapList():
self._wcolmaps.addItem(QIcon(cmap.makeQPixmap(128, 16)), cmap.name)
lo1.addWidget(self._wcolmaps)
QObject.connect(self._wcolmaps, SIGNAL("activated(int)"), self._rc.setColorMapNumber)
# add widgetstack for colormap controls
self._wcolmap_control_stack = QStackedWidget(self)
self._wcolmap_control_blank = QWidget(self._wcolmap_control_stack)
self._wcolmap_control_stack.addWidget(self._wcolmap_control_blank)
lo0.addWidget(self._wcolmap_control_stack)
self._colmap_controls = []
# add controls to stack
for index, cmap in enumerate(self._rc.getColormapList()):
if isinstance(cmap, Colormaps.ColormapWithControls):
controls = cmap.makeControlWidgets(self._wcolmap_control_stack)
self._wcolmap_control_stack.addWidget(controls)
QObject.connect(cmap, SIGNAL("colormapChanged"),
self._currier.curry(self._previewColormapParameters, index, cmap))
QObject.connect(cmap, SIGNAL("colormapPreviewed"),
self._currier.curry(self._previewColormapParameters, index, cmap))
self._colmap_controls.append(controls)
else:
self._colmap_controls.append(self._wcolmap_control_blank)
# connect updates from renderControl and image
self.image.connect(SIGNAL("slice"), self._updateImageSlice)
QObject.connect(self._rc, SIGNAL("intensityMapChanged"), self._updateIntensityMap)
QObject.connect(self._rc, SIGNAL("colorMapChanged"), self._updateColorMap)
QObject.connect(self._rc, SIGNAL("dataSubsetChanged"), self._updateDataSubset)
QObject.connect(self._rc, SIGNAL("displayRangeChanged"), self._updateDisplayRange)
# update widgets
self._setupHistogramPlot()
self._updateDataSubset(*self._rc.currentSubset())
self._updateColorMap(image.colorMap())
self._updateIntensityMap(rc.currentIntensityMap(), rc.currentIntensityMapNumber())
self._updateDisplayRange(*self._rc.displayRange())
def makeButton(self, label, callback=None, width=None, icon=None):
btn = QToolButton(self)
# btn.setAutoRaise(True)
label and btn.setText(label)
icon and btn.setIcon(icon)
# btn = QPushButton(label,self)
# btn.setFlat(True)
if width:
btn.setMinimumWidth(width)
btn.setMaximumWidth(width)
if icon:
btn.setIcon(icon)
if callback:
QObject.connect(btn, SIGNAL("clicked()"), callback)
return btn
# def closeEvent (self,ev):
# ev.ignore()
# self.hide()
def hide(self):
self._geometry = self.geometry()
QDialog.hide(self)
def show(self):
dprint(4, "show entrypoint")
if self._geometry:
dprint(4, "setting geometry")
self.setGeometry(self._geometry)
if self._hist is None:
busy = BusyIndicator()
dprint(4, "updating histogram")
self._updateHistogram()
dprint(4, "updating stats")
self._updateStats(self._subset, self._subset_range)
busy = None
dprint(4, "calling QDialog.show")
QDialog.show(self)
# number of bins used to compute intensity transfer function
NumItfBins = 1000
# number of bins used for displaying histograms
NumHistBins = 500
# number of bins used for high-res histograms
NumHistBinsHi = 10000
# colorbar height, as fraction of plot area
ColorBarHeight = 0.1
class HistLimitPicker(QwtPlotPicker):
"""Auguments QwtPlotPicker with functions for selecting hist min/max values"""
def __init__(self, plot, label, color="green", mode=QwtPicker.PointSelection,
rubber_band=QwtPicker.VLineRubberBand, tracker_mode=QwtPicker.ActiveOnly, track=None):
QwtPlotPicker.__init__(self, QwtPlot.xBottom, QwtPlot.yRight, mode, rubber_band, tracker_mode,
plot.canvas())
self.plot = plot
self.label = label
self.track = track
self.color = QColor(color)
self.setRubberBandPen(QPen(self.color))
def trackerText(self, pos):
x, y = self.plot.invTransform(QwtPlot.xBottom, pos.x()), self.plot.invTransform(QwtPlot.yLeft, pos.y())
if self.track:
text = self.track(x, y)
if text is not None:
return text
if self.label:
text = QwtText(self.label % dict(x=x, y=y))
text.setColor(self.color)
return text
return QwtText()
def widgetLeaveEvent(self, ev):
if self.track:
self.track(None, None)
QwtPlotPicker.widgetLeaveEvent(self, ev)
class ColorBarPlotItem(QwtPlotItem):
def __init__(self, y0, y1, *args):
QwtPlotItem.__init__(self, *args)
self._y0 = y1
self._dy = y1 - y0
def setIntensityMap(self, imap):
self.imap = imap
def setColorMap(self, cmap):
self.cmap = cmap
def draw(self, painter, xmap, ymap, rect):
"""Implements QwtPlotItem.draw(), to render the colorbar on the given painter."""
xp1, xp2, xdp, xs1, xs2, xds = xinfo = xmap.p1(), xmap.p2(), xmap.pDist(), xmap.s1(), xmap.s2(), xmap.sDist()
yp1, yp2, ydp, ys1, ys2, yds = yinfo = ymap.p1(), ymap.p2(), ymap.pDist(), ymap.s1(), ymap.s2(), ymap.sDist()
# xp: coordinates of pixels xp1...xp2 in data units
xp = xs1 + (xds / xdp) * (0.5 + numpy.arange(int(xdp)))
# convert y0 and y1 into pixel coordinates
y0 = yp1 - (self._y0 - ys1) * (ydp / yds)
dy = self._dy * (ydp / yds)
# remap into an Nx1 image
qimg = self.cmap.colorize(self.imap.remap(xp.reshape((len(xp), 1))))
# plot image
painter.drawImage(QRect(xp1, y0, xdp, dy), qimg)
class HistogramLineMarker(object):
"""Helper class implementing a line marker for a histogram plot"""
def __init__(self, plot, color="black", linestyle=Qt.DotLine, align=Qt.AlignBottom | Qt.AlignRight, z=90,
label="", zlabel=None, linewidth=1, spacing=2,
yaxis=QwtPlot.yRight):
self.line = TiggerPlotCurve()
self.color = color = color if isinstance(color, QColor) else QColor(color)
self.line.setPen(QPen(color, linewidth, linestyle))
self.marker = TiggerPlotMarker()
self.marker.setLabelAlignment(align)
try:
self.marker.setSpacing(spacing)
except AttributeError:
pass
self.setText(label)
self.line.setZ(z)
self.marker.setZ(zlabel if zlabel is not None else z)
# set axes -- using yRight, since that is the "markup" z-axis
self.line.setAxis(QwtPlot.xBottom, yaxis)
self.marker.setAxis(QwtPlot.xBottom, yaxis)
# attach to plot
self.line.attach(plot)
self.marker.attach(plot)
def show(self):
self.line.show()
self.marker.show()
def hide(self):
self.line.hide()
self.marker.hide()
def setText(self, text):
label = QwtText(text)
label.setColor(self.color)
self.marker.setLabel(label)
def _setupHistogramPlot(self):
self._histplot.setCanvasBackground(QColor("lightgray"))
self._histplot.setAxisFont(QwtPlot.yLeft, QApplication.font())
self._histplot.setAxisFont(QwtPlot.xBottom, QApplication.font())
# add histogram curves
self._histcurve1 = TiggerPlotCurve()
self._histcurve2 = TiggerPlotCurve()
self._histcurve1.setStyle(QwtPlotCurve.Steps)
self._histcurve2.setStyle(QwtPlotCurve.Steps)
self._histcurve1.setPen(QPen(Qt.NoPen))
self._histcurve1.setBrush(QBrush(QColor("slategrey")))
pen = QPen(QColor("red"))
pen.setWidth(1)
self._histcurve2.setPen(pen)
self._histcurve1.setZ(0)
self._histcurve2.setZ(100)
# self._histcurve1.attach(self._histplot)
self._histcurve2.attach(self._histplot)
# add maxbin and half-max curves
self._line_0 = self.HistogramLineMarker(self._histplot, color="grey50", linestyle=Qt.SolidLine,
align=Qt.AlignTop | Qt.AlignLeft, z=90)
self._line_mean = self.HistogramLineMarker(self._histplot, color="black", linestyle=Qt.SolidLine,
align=Qt.AlignBottom | Qt.AlignRight, z=91,
label="mean", zlabel=151)
self._line_std = self.HistogramLineMarker(self._histplot, color="black", linestyle=Qt.SolidLine,
align=Qt.AlignTop | Qt.AlignRight, z=91,
label="std", zlabel=151)
sym = QwtSymbol()
sym.setStyle(QwtSymbol.VLine)
sym.setSize(8)
self._line_std.line.setSymbol(sym)
self._line_maxbin = self.HistogramLineMarker(self._histplot, color="green", linestyle=Qt.DotLine,
align=Qt.AlignTop | Qt.AlignRight, z=92,
label="max bin", zlabel=150)
self._line_halfmax = self.HistogramLineMarker(self._histplot, color="green", linestyle=Qt.DotLine,
align=Qt.AlignBottom | Qt.AlignRight, z=90,
label="half-max", yaxis=QwtPlot.yLeft)
# add current range
self._rangebox = TiggerPlotCurve()
self._rangebox.setStyle(QwtPlotCurve.Steps)
self._rangebox.setYAxis(QwtPlot.yRight)
self._rangebox.setPen(QPen(Qt.NoPen))
self._rangebox.setBrush(QBrush(QColor("darkgray")))
self._rangebox.setZ(50)
self._rangebox.attach(self._histplot)
self._rangebox2 = TiggerPlotCurve()
self._rangebox2.setStyle(QwtPlotCurve.Sticks)
self._rangebox2.setYAxis(QwtPlot.yRight)
self._rangebox2.setZ(60)
# self._rangebox2.attach(self._histplot)
# add intensity transfer function
self._itfcurve = TiggerPlotCurve()
self._itfcurve.setStyle(QwtPlotCurve.Lines)
self._itfcurve.setPen(QPen(QColor("blue")))
self._itfcurve.setYAxis(QwtPlot.yRight)
self._itfcurve.setZ(120)
self._itfcurve.attach(self._histplot)
self._itfmarker = TiggerPlotMarker()
label = QwtText("ITF")
label.setColor(QColor("blue"))
self._itfmarker.setLabel(label)
try:
self._itfmarker.setSpacing(0)
except AttributeError:
pass
self._itfmarker.setLabelAlignment(Qt.AlignTop | Qt.AlignRight)
self._itfmarker.setZ(120)
self._itfmarker.attach(self._histplot)
# add colorbar
self._cb_item = self.ColorBarPlotItem(1, 1 + self.ColorBarHeight)
self._cb_item.setYAxis(QwtPlot.yRight)
self._cb_item.attach(self._histplot)
# add pickers
self._hist_minpicker = self.HistLimitPicker(self._histplot, "low: %(x).4g")
self._hist_minpicker.setMousePattern(QwtEventPattern.MouseSelect1, Qt.LeftButton)
QObject.connect(self._hist_minpicker, SIGNAL("selected(const QwtDoublePoint &)"), self._selectLowLimit)
self._hist_maxpicker = self.HistLimitPicker(self._histplot, "high: %(x).4g")
self._hist_maxpicker.setMousePattern(QwtEventPattern.MouseSelect1, Qt.RightButton)
QObject.connect(self._hist_maxpicker, SIGNAL("selected(const QwtDoublePoint &)"), self._selectHighLimit)
self._hist_maxpicker1 = self.HistLimitPicker(self._histplot, "high: %(x).4g")
self._hist_maxpicker1.setMousePattern(QwtEventPattern.MouseSelect1, Qt.LeftButton, Qt.CTRL)
QObject.connect(self._hist_maxpicker1, SIGNAL("selected(const QwtDoublePoint &)"), self._selectHighLimit)
self._hist_zoompicker = self.HistLimitPicker(self._histplot, label="zoom",
tracker_mode=QwtPicker.AlwaysOn, track=self._trackHistCoordinates,
color="black",
mode=QwtPicker.RectSelection,
rubber_band=QwtPicker.RectRubberBand)
self._hist_zoompicker.setMousePattern(QwtEventPattern.MouseSelect1, Qt.LeftButton, Qt.SHIFT)
QObject.connect(self._hist_zoompicker, SIGNAL("selected(const QwtDoubleRect &)"), self._zoomHistogramIntoRect)
def _trackHistCoordinates(self, x, y):
self._wlab_histpos.setText((DataValueFormat + " %d") % (x, y) if x is not None else self._wlab_histpos_text)
return QwtText()
def _updateITF(self):
"""Updates current ITF array."""
# do nothing if no histogram -- means we're not visible
if self._hist is not None:
xdata = self._itf_bins
ydata = self.image.intensityMap().remap(xdata)
self._rangebox.setData(self._rc.displayRange(), [1, 1])
self._rangebox2.setData(self._rc.displayRange(), [1, 1])
self._itfcurve.setData(xdata, ydata)
self._itfmarker.setValue(xdata[0], 1)
def _updateHistogram(self, hmin=None, hmax=None):
"""Recomputes histogram. If no arguments, computes full histogram for
data subset. If hmin/hmax is specified, computes zoomed-in histogram."""
busy = BusyIndicator()
self._prev_range = self._display_range
dmin, dmax = self._subset_range
hmin0, hmax0 = dmin, dmax
if hmin0 >= hmax0:
hmax0 = hmin0 + 1
subset, mask = self.image.optimalRavel(self._subset)
# compute full-subset hi-res histogram, if we don't have one (for percentile stats)
if self._hist_hires is None:
dprint(1, "computing histogram for full subset range", hmin0, hmax0)
self._hist_hires = measurements.histogram(subset, hmin0, hmax0, self.NumHistBinsHi, labels=mask,
index=None if mask is None else False)
self._hist_bins_hires = hmin0 + (hmax0 - hmin0) * (numpy.arange(self.NumHistBinsHi) + 0.5) / float(
self.NumHistBinsHi)
self._hist_binsize_hires = (hmax0 - hmin0) / self.NumHistBins
# if hist limits not specified, then compute lo-res histogram based on the hi-res one
if hmin is None:
hmin, hmax = hmin0, hmax0
# downsample to low-res histogram
self._hist = self._hist_hires.reshape((self.NumHistBins, self.NumHistBinsHi / self.NumHistBins)).sum(1)
else:
# zoomed-in low-res histogram
# bracket limits at subset range
hmin, hmax = max(hmin, dmin), min(hmax, dmax)
if hmin >= hmax:
hmax = hmin + 1
dprint(1, "computing histogram for", self._subset.shape, self._subset.dtype, hmin, hmax)
self._hist = measurements.histogram(subset, hmin, hmax, self.NumHistBins, labels=mask,
index=None if mask is None else False)
dprint(1, "histogram computed")
# compute bins
self._itf_bins = hmin + (hmax - hmin) * (numpy.arange(self.NumItfBins)) / (float(self.NumItfBins) - 1)
self._hist_bins = hmin + (hmax - hmin) * (numpy.arange(self.NumHistBins) + 0.5) / float(self.NumHistBins)
# histogram range and position of peak
self._hist_range = hmin, hmax
self._hist_min, self._hist_max, self._hist_imin, self._hist_imax = measurements.extrema(self._hist)
self._hist_peak = self._hist_bins[self._hist_imax]
# set controls accordingly
if dmin >= dmax:
dmax = dmin + 1
zoom = math.log10((dmax - dmin) / (hmax - hmin))
self._whistzoom.setValue(zoom)
self._whistunzoom.setEnabled(zoom > 0)
self._whistzoomout.setEnabled(zoom > 0)
# reset scales
self._histplot.setAxisScale(QwtPlot.xBottom, hmin, hmax)
self._histplot.setAxisScale(QwtPlot.yRight, 0, 1 + self.ColorBarHeight)
# update curves
# call _setHistLogScale() (with current setting) to update axis scales and set data
self._setHistLogScale(self._ylogscale, replot=False)
# set plot lines
self._line_0.line.setData([0, 0], [0, 1])
self._line_0.marker.setValue(0, 0)
self._line_maxbin.line.setData([self._hist_peak, self._hist_peak], [0, 1])
self._line_maxbin.marker.setValue(self._hist_peak, 0)
self._line_maxbin.setText(("max bin:" + DataValueFormat) % self._hist_peak)
# set half-max line
self._line_halfmax.line.setData(self._hist_range, [self._hist_max / 2, self._hist_max / 2])
self._line_halfmax.marker.setValue(hmin, self._hist_max / 2)
# update ITF
self._updateITF()
def _updateStats(self, subset, minmax):
"""Recomputes subset statistics."""
if subset.size <= (2048 * 2048):
self._showMeanStd(busy=False)
else:
self._wlab_stats.setText(
("min: %s max: %s np: %d" % (DataValueFormat, DataValueFormat, self._subset.size)) % minmax)
self._wmore_stats.show()
def _updateDataSubset(self, subset, minmax, desc, subset_type):
"""Called when the displayed data subset is changed. Updates the histogram."""
self._subset = subset
self._subset_range = minmax
self._wlab_subset.setText("Subset: %s" % desc)
self._hist = self._hist_hires = None
self._wreset_full.setVisible(subset_type is not RenderControl.SUBSET_FULL)
self._wreset_slice and self._wreset_slice.setVisible(subset_type is not RenderControl.SUBSET_SLICE)
# hide the mean/std markers, they will only be shown when _showMeanStd() is called
self._line_mean.hide()
self._line_std.hide()
# if we're visibile, recompute histograms and stats
if self.isVisible():
# if subset is sufficiently small, compute extended stats on-the-fly. Else show the "more" button to compute them later
self._updateHistogram()
self._updateStats(subset, minmax)
self._histplot.replot()
def _showMeanStd(self, busy=True):
if busy:
busy = BusyIndicator()
dmin, dmax = self._subset_range
subset, mask = self.image.optimalRavel(self._subset)
dprint(5, "computing mean")
mean = measurements.mean(subset, labels=mask, index=None if mask is None else False)
dprint(5, "computing std")
std = measurements.standard_deviation(subset, labels=mask, index=None if mask is None else False)
dprint(5, "done")
text = " ".join([("%s: " + DataValueFormat) % (name, value) for name, value in
("min", dmin), ("max", dmax), ("mean", mean), ("std", std)] + ["np: %d" % self._subset.size])
self._wlab_stats.setText(text)
self._wmore_stats.hide()
# update markers
ypos = 0.3
self._line_mean.line.setData([mean, mean], [0, 1])
self._line_mean.marker.setValue(mean, ypos)
self._line_mean.setText(("\u03BC=" + DataValueFormat) % mean)
self._line_mean.show()
self._line_std.line.setData([mean - std, mean + std], [ypos, ypos])
self._line_std.marker.setValue(mean, ypos)
self._line_std.setText(("\u03C3=" + DataValueFormat) % std)
self._line_std.show()
self._histplot.replot()
def _setIntensityLogCyclesLabel(self, value):
self._wlogcycles_label.setText("Log cycles: %4.1f" % value)
def _previewIntensityLogCycles(self, value):
self._setIntensityLogCycles(value, notify_image=False, write_config=False)
self._wlogcycles_timer.start(500)
def _setIntensityLogCycles(self, value=None, notify_image=True, write_config=True):
if value is None:
value = self._wlogcycles.value()
# stop timer if being called to finalize the change in value
if notify_image:
self._wlogcycles_timer.stop()
if not self._updating_imap:
self._setIntensityLogCyclesLabel(value)
self._rc.setIntensityMapLogCycles(value, notify_image=notify_image, write_config=write_config)
self._updateITF()
self._histplot.replot()
def _updateDisplayRange(self, dmin, dmax):
self._rangebox.setData([dmin, dmax], [.9, .9])
self._wrange[0].setText(DataValueFormat % dmin)
self._wrange[1].setText(DataValueFormat % dmax)
self._wrangeleft0.setEnabled(dmin != 0)
self._display_range = dmin, dmax
# if auto-zoom is on, zoom the histogram
# try to be a little clever about this. Zoom only if (a) both limits have changed (so that adjusting one end of the range
# does not cause endless rezooms), or (b) display range is < 1/10 of the histogram range
if self._wautozoom.isChecked() and self._hist is not None:
if (dmax - dmin) / (self._hist_range[1] - self._hist_range[0]) < .1 or (
dmin != self._prev_range[0] and dmax != self._prev_range[1]):
margin = (dmax - dmin) / 8
self._updateHistogram(dmin - margin, dmax + margin)
self._updateITF()
self._histplot.replot()
def _updateIntensityMap(self, imap, index):
self._updating_imap = True
try:
self._cb_item.setIntensityMap(imap)
self._updateITF()
self._histplot.replot()
self._wimap.setCurrentIndex(index)
if isinstance(imap, Colormaps.LogIntensityMap):
self._wlogcycles.setValue(imap.log_cycles)
self._setIntensityLogCyclesLabel(imap.log_cycles)
self._wlogcycles.show()
self._wlogcycles_label.show()
else:
self._wlogcycles.hide()
self._wlogcycles_label.hide()
finally:
self._updating_imap = False
def _updateColorMap(self, cmap):
self._cb_item.setColorMap(cmap)
self._histplot.replot()
try:
index = self._rc.getColormapList().index(cmap)
except:
return
self._setCurrentColormapNumber(index, cmap)
def _previewColormapParameters(self, index, cmap):
"""Called to preview a new colormap parameter value"""
self._histplot.replot()
self._wcolmaps.setItemIcon(index, QIcon(cmap.makeQPixmap(128, 16)))
def _setCurrentColormapNumber(self, index, cmap):
self._wcolmaps.setCurrentIndex(index)
# show controls for colormap
self._wcolmap_control_stack.setCurrentWidget(self._colmap_controls[index])
def _changeDisplayRange(self):
"""Gets display range from widgets and updates the image with it."""
try:
newrange = [float(str(w.text())) for w in self._wrange]
except ValueError:
return
self._rc.setDisplayRange(*newrange)
def _setHistDisplayRange(self):
self._rc.setDisplayRange(*self._hist_range)
def _updateImageSlice(self, slice):
for i, (iextra, name, labels) in enumerate(self._rc.slicedAxes()):
self._wslicers[i].setCurrentIndex(slice[iextra])
def _changeDisplayRangeToPercent(self, percent):
busy = BusyIndicator()
if self._hist is None:
self._updateHistogram()
self._updateStats(self._subset, self._subset_range)
# delta: we need the [delta,100-delta] interval of the total distribution
delta = self._subset.size * ((100. - percent) / 200.)
# get F(x): cumulative sum
cumsum = numpy.zeros(len(self._hist_hires) + 1, dtype=int)
cumsum[1:] = numpy.cumsum(self._hist_hires)
bins = numpy.zeros(len(self._hist_hires) + 1, dtype=float)
bins[0] = self._subset_range[0]
bins[1:] = self._hist_bins_hires + self._hist_binsize_hires / 2
# use interpolation to find value interval corresponding to [delta,100-delta] of the distribution
dprint(2, self._subset.size, delta, self._subset.size - delta)
dprint(2, cumsum, self._hist_bins_hires)
# if first bin is already > delta, then set colour range to first bin
x0, x1 = numpy.interp([delta, self._subset.size - delta], cumsum, bins)
# and change the display range (this will also cause a histplot.replot() via _updateDisplayRange above)
self._rc.setDisplayRange(x0, x1)
def _setZeroLeftLimit(self):
self._rc.setDisplayRange(0., self._rc.displayRange()[1])
def _selectLowLimit(self, pos):
self._rc.setDisplayRange(pos.x(), self._rc.displayRange()[1])
def _selectHighLimit(self, pos):
self._rc.setDisplayRange(self._rc.displayRange()[0], pos.x())
def _unzoomHistogram(self):
self._updateHistogram()
self._histplot.replot()
def _zoomHistogramByFactor(self, factor):
"""Changes histogram limits by specified factor"""
# get max distance of plot limit from peak
dprint(1, "zooming histogram by", factor)
halfdist = (self._hist_range[1] - self._hist_range[0]) / (factor * 2)
self._updateHistogram(self._hist_peak - halfdist, self._hist_peak + halfdist)
self._histplot.replot()
def _zoomHistogramIntoRect(self, rect):
hmin, hmax = rect.bottomLeft().x(), rect.bottomRight().x()
if hmax > hmin:
self._updateHistogram(rect.bottomLeft().x(), rect.bottomRight().x())
self._histplot.replot()
def _zoomHistogramPreview(self, value):
dprint(2, "wheel moved to", value)
self._zoomHistogramFinalize(value, preview=True)
self._whistzoom_timer.start()
def _zoomHistogramFinalize(self, value=None, preview=False):
if self._zooming_histogram:
return
self._zooming_histogram = True
try:
if value is not None:
dmin, dmax = self._subset_range
dist = max(dmax - self._hist_peak, self._hist_peak - dmin) / 10 ** value
self._preview_hist_range = max(self._hist_peak - dist, dmin), min(self._hist_peak + dist, dmax)
if preview:
self._histplot.setAxisScale(QwtPlot.xBottom, *self._preview_hist_range)
else:
dprint(2, "wheel finalized at", value)
self._whistzoom_timer.stop()
self._updateHistogram(*self._preview_hist_range)
self._histplot.replot()
finally:
self._zooming_histogram = False
def _setHistLogScale(self, logscale, replot=True):
self._ylogscale = logscale
if logscale:
self._histplot.setAxisScaleEngine(QwtPlot.yLeft, QwtLog10ScaleEngine())
ymax = max(1, self._hist_max)
self._histplot.setAxisScale(QwtPlot.yLeft, 1, 10 ** (math.log10(ymax) * (1 + self.ColorBarHeight)))
y = self._hist.copy()
y[y == 0] = 1
self._histcurve1.setData(self._hist_bins, y)
self._histcurve2.setData(self._hist_bins, y)
else:
self._histplot.setAxisScaleEngine(QwtPlot.yLeft, QwtLinearScaleEngine())
self._histplot.setAxisScale(QwtPlot.yLeft, 0, self._hist_max * (1 + self.ColorBarHeight))
self._histcurve1.setData(self._hist_bins, self._hist)
self._histcurve2.setData(self._hist_bins, self._hist)
if replot:
self._histplot.replot()