pyqtgraph/graphicsItems/HistogramLUTItem.py
Luke Campagnola ad7b5f0aad - Default foreground / background colors can now be set using pyqtgraph.setConfigOption()
- Added pyqtgraph.systemInfo() for bug reporting
- GraphicsLayout does a better job of avoiding occupied cells when using automatic placement
- Fixed sizing issues with LabelItem
- Updated GraphicsLayout example
2012-06-29 14:39:27 -04:00

206 lines
7.3 KiB
Python

"""
GraphicsWidget displaying an image histogram along with gradient editor. Can be used to adjust the appearance of images.
"""
from pyqtgraph.Qt import QtGui, QtCore
import pyqtgraph.functions as fn
from .GraphicsWidget import GraphicsWidget
from .ViewBox import *
from .GradientEditorItem import *
from .LinearRegionItem import *
from .PlotDataItem import *
from .AxisItem import *
from .GridItem import *
from pyqtgraph.Point import Point
import pyqtgraph.functions as fn
import numpy as np
import pyqtgraph.debug as debug
__all__ = ['HistogramLUTItem']
class HistogramLUTItem(GraphicsWidget):
"""
This is a graphicsWidget which provides controls for adjusting the display of an image.
Includes:
- Image histogram
- Movable region over histogram to select black/white levels
- Gradient editor to define color lookup table for single-channel images
"""
sigLookupTableChanged = QtCore.Signal(object)
sigLevelsChanged = QtCore.Signal(object)
sigLevelChangeFinished = QtCore.Signal(object)
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.
"""
GraphicsWidget.__init__(self)
self.lut = None
self.imageItem = None
self.layout = QtGui.QGraphicsGridLayout()
self.setLayout(self.layout)
self.layout.setContentsMargins(1,1,1,1)
self.layout.setSpacing(0)
self.vb = ViewBox()
self.vb.setMaximumWidth(152)
self.vb.setMinimumWidth(45)
self.vb.setMouseEnabled(x=False, y=True)
self.gradient = GradientEditorItem()
self.gradient.setOrientation('right')
self.gradient.loadPreset('grey')
self.region = LinearRegionItem([0, 1], LinearRegionItem.Horizontal)
self.region.setZValue(1000)
self.vb.addItem(self.region)
self.axis = AxisItem('left', linkView=self.vb, maxTickLength=-10, showValues=False)
self.layout.addItem(self.axis, 0, 0)
self.layout.addItem(self.vb, 0, 1)
self.layout.addItem(self.gradient, 0, 2)
self.range = None
self.gradient.setFlag(self.gradient.ItemStacksBehindParent)
self.vb.setFlag(self.gradient.ItemStacksBehindParent)
#self.grid = GridItem()
#self.vb.addItem(self.grid)
self.gradient.sigGradientChanged.connect(self.gradientChanged)
self.region.sigRegionChanged.connect(self.regionChanging)
self.region.sigRegionChangeFinished.connect(self.regionChanged)
self.vb.sigRangeChanged.connect(self.viewRangeChanged)
self.plot = PlotDataItem()
self.plot.rotate(90)
self.fillHistogram(fillHistogram)
self.vb.addItem(self.plot)
self.autoHistogramRange()
if image is not None:
self.setImageItem(image)
#self.setSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.QSizePolicy.Expanding)
def fillHistogram(self, fill=True, level=0.0, color=(100, 100, 200)):
if fill:
self.plot.setFillLevel(level)
self.plot.setFillBrush(color)
else:
self.plot.setFillLevel(None)
#def sizeHint(self, *args):
#return QtCore.QSizeF(115, 200)
def paint(self, p, *args):
pen = self.region.lines[0].pen
rgn = self.getLevels()
p1 = self.vb.mapFromViewToItem(self, Point(self.vb.viewRect().center().x(), rgn[0]))
p2 = self.vb.mapFromViewToItem(self, Point(self.vb.viewRect().center().x(), rgn[1]))
gradRect = self.gradient.mapRectToParent(self.gradient.gradRect.rect())
for pen in [fn.mkPen('k', width=3), pen]:
p.setPen(pen)
p.drawLine(p1, gradRect.bottomLeft())
p.drawLine(p2, gradRect.topLeft())
p.drawLine(gradRect.topLeft(), gradRect.topRight())
p.drawLine(gradRect.bottomLeft(), gradRect.bottomRight())
#p.drawRect(self.boundingRect())
def setHistogramRange(self, mn, mx, padding=0.1):
"""Set the Y range on the histogram plot. This disables auto-scaling."""
self.vb.enableAutoRange(self.vb.YAxis, False)
self.vb.setYRange(mn, mx, padding)
#d = mx-mn
#mn -= d*padding
#mx += d*padding
#self.range = [mn,mx]
#self.updateRange()
#self.vb.setMouseEnabled(False, True)
#self.region.setBounds([mn,mx])
def autoHistogramRange(self):
"""Enable auto-scaling on the histogram plot."""
self.vb.enableAutoRange(self.vb.XYAxes)
#self.range = None
#self.updateRange()
#self.vb.setMouseEnabled(False, False)
#def updateRange(self):
#self.vb.autoRange()
#if self.range is not None:
#self.vb.setYRange(*self.range)
#vr = self.vb.viewRect()
#self.region.setBounds([vr.top(), vr.bottom()])
def setImageItem(self, img):
self.imageItem = img
img.sigImageChanged.connect(self.imageChanged)
img.setLookupTable(self.getLookupTable) ## send function pointer, not the result
#self.gradientChanged()
self.regionChanged()
self.imageChanged(autoLevel=True)
#self.vb.autoRange()
def viewRangeChanged(self):
self.update()
def gradientChanged(self):
if self.imageItem is not None:
if self.gradient.isLookupTrivial():
self.imageItem.setLookupTable(None) #lambda x: x.astype(np.uint8))
else:
self.imageItem.setLookupTable(self.getLookupTable) ## send function pointer, not the result
self.lut = None
#if self.imageItem is not None:
#self.imageItem.setLookupTable(self.gradient.getLookupTable(512))
self.sigLookupTableChanged.emit(self)
def getLookupTable(self, img=None, n=None, alpha=None):
if n is None:
if img.dtype == np.uint8:
n = 256
else:
n = 512
if self.lut is None:
self.lut = self.gradient.getLookupTable(n, alpha=alpha)
return self.lut
def regionChanged(self):
#if self.imageItem is not None:
#self.imageItem.setLevels(self.region.getRegion())
self.sigLevelChangeFinished.emit(self)
#self.update()
def regionChanging(self):
if self.imageItem is not None:
self.imageItem.setLevels(self.region.getRegion())
self.sigLevelsChanged.emit(self)
self.update()
def imageChanged(self, autoLevel=False, autoRange=False):
prof = debug.Profiler('HistogramLUTItem.imageChanged', disabled=True)
h = self.imageItem.getHistogram()
prof.mark('get histogram')
if h[0] is None:
return
self.plot.setData(*h)
prof.mark('set plot')
if autoLevel:
mn = h[0][0]
mx = h[0][-1]
self.region.setRegion([mn, mx])
prof.mark('set region')
prof.finish()
def getLevels(self):
return self.region.getRegion()
def setLevels(self, mn, mx):
self.region.setRegion([mn, mx])