pyqtgraph/pyqtgraph/graphicsItems/ImageItem.py

527 lines
20 KiB
Python

from __future__ import division
from ..Qt import QtGui, QtCore
import numpy as np
import collections
from .. import functions as fn
from .. import debug as debug
from .GraphicsObject import GraphicsObject
from ..Point import Point
__all__ = ['ImageItem']
class ImageItem(GraphicsObject):
"""
**Bases:** :class:`GraphicsObject <pyqtgraph.GraphicsObject>`
GraphicsObject displaying an image. Optimized for rapid update (ie video display).
This item displays either a 2D numpy array (height, width) or
a 3D array (height, width, RGBa). This array is optionally scaled (see
:func:`setLevels <pyqtgraph.ImageItem.setLevels>`) and/or colored
with a lookup table (see :func:`setLookupTable <pyqtgraph.ImageItem.setLookupTable>`)
before being displayed.
ImageItem is frequently used in conjunction with
:class:`HistogramLUTItem <pyqtgraph.HistogramLUTItem>` or
:class:`HistogramLUTWidget <pyqtgraph.HistogramLUTWidget>` to provide a GUI
for controlling the levels and lookup table used to display the image.
"""
sigImageChanged = QtCore.Signal()
sigRemoveRequested = QtCore.Signal(object) # self; emitted when 'remove' is selected from context menu
def __init__(self, image=None, **kargs):
"""
See :func:`setImage <pyqtgraph.ImageItem.setImage>` for all allowed initialization arguments.
"""
GraphicsObject.__init__(self)
self.menu = None
self.image = None ## original image data
self.qimage = None ## rendered image for display
self.paintMode = None
self.levels = None ## [min, max] or [[redMin, redMax], ...]
self.lut = None
self.autoDownsample = False
self.drawKernel = None
self.border = None
self.removable = False
if image is not None:
self.setImage(image, **kargs)
else:
self.setOpts(**kargs)
def setCompositionMode(self, mode):
"""Change the composition mode of the item (see QPainter::CompositionMode
in the Qt documentation). This is useful when overlaying multiple ImageItems.
============================================ ============================================================
**Most common arguments:**
QtGui.QPainter.CompositionMode_SourceOver Default; image replaces the background if it
is opaque. Otherwise, it uses the alpha channel to blend
the image with the background.
QtGui.QPainter.CompositionMode_Overlay The image color is mixed with the background color to
reflect the lightness or darkness of the background.
QtGui.QPainter.CompositionMode_Plus Both the alpha and color of the image and background pixels
are added together.
QtGui.QPainter.CompositionMode_Multiply The output is the image color multiplied by the background.
============================================ ============================================================
"""
self.paintMode = mode
self.update()
## use setOpacity instead.
#def setAlpha(self, alpha):
#self.setOpacity(alpha)
#self.updateImage()
def setBorder(self, b):
self.border = fn.mkPen(b)
self.update()
def width(self):
if self.image is None:
return None
return self.image.shape[0]
def height(self):
if self.image is None:
return None
return self.image.shape[1]
def boundingRect(self):
if self.image is None:
return QtCore.QRectF(0., 0., 0., 0.)
return QtCore.QRectF(0., 0., float(self.width()), float(self.height()))
#def setClipLevel(self, level=None):
#self.clipLevel = level
#self.updateImage()
#def paint(self, p, opt, widget):
#pass
#if self.pixmap is not None:
#p.drawPixmap(0, 0, self.pixmap)
#print "paint"
def setLevels(self, levels, update=True):
"""
Set image scaling levels. Can be one of:
* [blackLevel, whiteLevel]
* [[minRed, maxRed], [minGreen, maxGreen], [minBlue, maxBlue]]
Only the first format is compatible with lookup tables. See :func:`makeARGB <pyqtgraph.makeARGB>`
for more details on how levels are applied.
"""
self.levels = levels
if update:
self.updateImage()
def getLevels(self):
return self.levels
#return self.whiteLevel, self.blackLevel
def setLookupTable(self, lut, update=True):
"""
Set the lookup table (numpy array) to use for this image. (see
:func:`makeARGB <pyqtgraph.makeARGB>` for more information on how this is used).
Optionally, lut can be a callable that accepts the current image as an
argument and returns the lookup table to use.
Ordinarily, this table is supplied by a :class:`HistogramLUTItem <pyqtgraph.HistogramLUTItem>`
or :class:`GradientEditorItem <pyqtgraph.GradientEditorItem>`.
"""
self.lut = lut
if update:
self.updateImage()
def setAutoDownsample(self, ads):
"""
Set the automatic downsampling mode for this ImageItem.
Added in version 0.9.9
"""
self.autoDownsample = ads
self.qimage = None
self.update()
def setOpts(self, update=True, **kargs):
if 'lut' in kargs:
self.setLookupTable(kargs['lut'], update=update)
if 'levels' in kargs:
self.setLevels(kargs['levels'], update=update)
#if 'clipLevel' in kargs:
#self.setClipLevel(kargs['clipLevel'])
if 'opacity' in kargs:
self.setOpacity(kargs['opacity'])
if 'compositionMode' in kargs:
self.setCompositionMode(kargs['compositionMode'])
if 'border' in kargs:
self.setBorder(kargs['border'])
if 'removable' in kargs:
self.removable = kargs['removable']
self.menu = None
if 'autoDownsample' in kargs:
self.setAutoDownsample(kargs['autoDownsample'])
if update:
self.update()
def setRect(self, rect):
"""Scale and translate the image to fit within rect (must be a QRect or QRectF)."""
self.resetTransform()
self.translate(rect.left(), rect.top())
self.scale(rect.width() / self.width(), rect.height() / self.height())
def clear(self):
self.image = None
self.prepareGeometryChange()
self.informViewBoundsChanged()
self.update()
def setImage(self, image=None, autoLevels=None, **kargs):
"""
Update the image displayed by this item. For more information on how the image
is processed before displaying, see :func:`makeARGB <pyqtgraph.makeARGB>`
================= =========================================================================
**Arguments:**
image (numpy array) Specifies the image data. May be 2D (width, height) or
3D (width, height, RGBa). The array dtype must be integer or floating
point of any bit depth. For 3D arrays, the third dimension must
be of length 3 (RGB) or 4 (RGBA).
autoLevels (bool) If True, this forces the image to automatically select
levels based on the maximum and minimum values in the data.
By default, this argument is true unless the levels argument is
given.
lut (numpy array) The color lookup table to use when displaying the image.
See :func:`setLookupTable <pyqtgraph.ImageItem.setLookupTable>`.
levels (min, max) The minimum and maximum values to use when rescaling the image
data. By default, this will be set to the minimum and maximum values
in the image. If the image array has dtype uint8, no rescaling is necessary.
opacity (float 0.0-1.0)
compositionMode see :func:`setCompositionMode <pyqtgraph.ImageItem.setCompositionMode>`
border Sets the pen used when drawing the image border. Default is None.
autoDownsample (bool) If True, the image is automatically downsampled to match the
screen resolution. This improves performance for large images and
reduces aliasing.
================= =========================================================================
"""
profile = debug.Profiler()
gotNewData = False
if image is None:
if self.image is None:
return
else:
gotNewData = True
shapeChanged = (self.image is None or image.shape != self.image.shape)
self.image = image.view(np.ndarray)
if self.image.shape[0] > 2**15-1 or self.image.shape[1] > 2**15-1:
if 'autoDownsample' not in kargs:
kargs['autoDownsample'] = True
if shapeChanged:
self.prepareGeometryChange()
self.informViewBoundsChanged()
profile()
if autoLevels is None:
if 'levels' in kargs:
autoLevels = False
else:
autoLevels = True
if autoLevels:
img = self.image
while img.size > 2**16:
img = img[::2, ::2]
mn, mx = img.min(), img.max()
if mn == mx:
mn = 0
mx = 255
kargs['levels'] = [mn,mx]
profile()
self.setOpts(update=False, **kargs)
profile()
self.qimage = None
self.update()
profile()
if gotNewData:
self.sigImageChanged.emit()
def updateImage(self, *args, **kargs):
## used for re-rendering qimage from self.image.
## can we make any assumptions here that speed things up?
## dtype, range, size are all the same?
defaults = {
'autoLevels': False,
}
defaults.update(kargs)
return self.setImage(*args, **defaults)
def render(self):
# Convert data to QImage for display.
profile = debug.Profiler()
if self.image is None or self.image.size == 0:
return
if isinstance(self.lut, collections.Callable):
lut = self.lut(self.image)
else:
lut = self.lut
if self.autoDownsample:
# reduce dimensions of image based on screen resolution
o = self.mapToDevice(QtCore.QPointF(0,0))
x = self.mapToDevice(QtCore.QPointF(1,0))
y = self.mapToDevice(QtCore.QPointF(0,1))
w = Point(x-o).length()
h = Point(y-o).length()
xds = max(1, int(1/w))
yds = max(1, int(1/h))
image = fn.downsample(self.image, xds, axis=0)
image = fn.downsample(image, yds, axis=1)
else:
image = self.image
argb, alpha = fn.makeARGB(image.transpose((1, 0, 2)[:image.ndim]), lut=lut, levels=self.levels)
self.qimage = fn.makeQImage(argb, alpha, transpose=False)
def paint(self, p, *args):
profile = debug.Profiler()
if self.image is None:
return
if self.qimage is None:
self.render()
if self.qimage is None:
return
profile('render QImage')
if self.paintMode is not None:
p.setCompositionMode(self.paintMode)
profile('set comp mode')
p.drawImage(QtCore.QRectF(0,0,self.image.shape[0],self.image.shape[1]), self.qimage)
profile('p.drawImage')
if self.border is not None:
p.setPen(self.border)
p.drawRect(self.boundingRect())
def save(self, fileName, *args):
"""Save this image to file. Note that this saves the visible image (after scale/color changes), not the original data."""
if self.qimage is None:
self.render()
self.qimage.save(fileName, *args)
def getHistogram(self, bins='auto', step='auto', targetImageSize=200, targetHistogramSize=500, **kwds):
"""Returns x and y arrays containing the histogram values for the current image.
For an explanation of the return format, see numpy.histogram().
The *step* argument causes pixels to be skipped when computing the histogram to save time.
If *step* is 'auto', then a step is chosen such that the analyzed data has
dimensions roughly *targetImageSize* for each axis.
The *bins* argument and any extra keyword arguments are passed to
np.histogram(). If *bins* is 'auto', then a bin number is automatically
chosen based on the image characteristics:
* Integer images will have approximately *targetHistogramSize* bins,
with each bin having an integer width.
* All other types will have *targetHistogramSize* bins.
This method is also used when automatically computing levels.
"""
if self.image is None:
return None,None
if step == 'auto':
step = (np.ceil(self.image.shape[0] / targetImageSize),
np.ceil(self.image.shape[1] / targetImageSize))
if np.isscalar(step):
step = (step, step)
stepData = self.image[::step[0], ::step[1]]
if bins == 'auto':
if stepData.dtype.kind in "ui":
mn = stepData.min()
mx = stepData.max()
step = np.ceil((mx-mn) / 500.)
bins = np.arange(mn, mx+1.01*step, step, dtype=np.int)
if len(bins) == 0:
bins = [mn, mx]
else:
bins = 500
kwds['bins'] = bins
hist = np.histogram(stepData, **kwds)
return hist[1][:-1], hist[0]
def setPxMode(self, b):
"""
Set whether the item ignores transformations and draws directly to screen pixels.
If True, the item will not inherit any scale or rotation transformations from its
parent items, but its position will be transformed as usual.
(see GraphicsItem::ItemIgnoresTransformations in the Qt documentation)
"""
self.setFlag(self.ItemIgnoresTransformations, b)
def setScaledMode(self):
self.setPxMode(False)
def getPixmap(self):
if self.qimage is None:
self.render()
if self.qimage is None:
return None
return QtGui.QPixmap.fromImage(self.qimage)
def pixelSize(self):
"""return scene-size of a single pixel in the image"""
br = self.sceneBoundingRect()
if self.image is None:
return 1,1
return br.width()/self.width(), br.height()/self.height()
def viewTransformChanged(self):
if self.autoDownsample:
self.qimage = None
self.update()
#def mousePressEvent(self, ev):
#if self.drawKernel is not None and ev.button() == QtCore.Qt.LeftButton:
#self.drawAt(ev.pos(), ev)
#ev.accept()
#else:
#ev.ignore()
#def mouseMoveEvent(self, ev):
##print "mouse move", ev.pos()
#if self.drawKernel is not None:
#self.drawAt(ev.pos(), ev)
#def mouseReleaseEvent(self, ev):
#pass
def mouseDragEvent(self, ev):
if ev.button() != QtCore.Qt.LeftButton:
ev.ignore()
return
elif self.drawKernel is not None:
ev.accept()
self.drawAt(ev.pos(), ev)
def mouseClickEvent(self, ev):
if ev.button() == QtCore.Qt.RightButton:
if self.raiseContextMenu(ev):
ev.accept()
if self.drawKernel is not None and ev.button() == QtCore.Qt.LeftButton:
self.drawAt(ev.pos(), ev)
def raiseContextMenu(self, ev):
menu = self.getMenu()
if menu is None:
return False
menu = self.scene().addParentContextMenus(self, menu, ev)
pos = ev.screenPos()
menu.popup(QtCore.QPoint(pos.x(), pos.y()))
return True
def getMenu(self):
if self.menu is None:
if not self.removable:
return None
self.menu = QtGui.QMenu()
self.menu.setTitle("Image")
remAct = QtGui.QAction("Remove image", self.menu)
remAct.triggered.connect(self.removeClicked)
self.menu.addAction(remAct)
self.menu.remAct = remAct
return self.menu
def hoverEvent(self, ev):
if not ev.isExit() and self.drawKernel is not None and ev.acceptDrags(QtCore.Qt.LeftButton):
ev.acceptClicks(QtCore.Qt.LeftButton) ## we don't use the click, but we also don't want anyone else to use it.
ev.acceptClicks(QtCore.Qt.RightButton)
#self.box.setBrush(fn.mkBrush('w'))
elif not ev.isExit() and self.removable:
ev.acceptClicks(QtCore.Qt.RightButton) ## accept context menu clicks
#else:
#self.box.setBrush(self.brush)
#self.update()
def tabletEvent(self, ev):
print(ev.device())
print(ev.pointerType())
print(ev.pressure())
def drawAt(self, pos, ev=None):
pos = [int(pos.x()), int(pos.y())]
dk = self.drawKernel
kc = self.drawKernelCenter
sx = [0,dk.shape[0]]
sy = [0,dk.shape[1]]
tx = [pos[0] - kc[0], pos[0] - kc[0]+ dk.shape[0]]
ty = [pos[1] - kc[1], pos[1] - kc[1]+ dk.shape[1]]
for i in [0,1]:
dx1 = -min(0, tx[i])
dx2 = min(0, self.image.shape[0]-tx[i])
tx[i] += dx1+dx2
sx[i] += dx1+dx2
dy1 = -min(0, ty[i])
dy2 = min(0, self.image.shape[1]-ty[i])
ty[i] += dy1+dy2
sy[i] += dy1+dy2
ts = (slice(tx[0],tx[1]), slice(ty[0],ty[1]))
ss = (slice(sx[0],sx[1]), slice(sy[0],sy[1]))
mask = self.drawMask
src = dk
if isinstance(self.drawMode, collections.Callable):
self.drawMode(dk, self.image, mask, ss, ts, ev)
else:
src = src[ss]
if self.drawMode == 'set':
if mask is not None:
mask = mask[ss]
self.image[ts] = self.image[ts] * (1-mask) + src * mask
else:
self.image[ts] = src
elif self.drawMode == 'add':
self.image[ts] += src
else:
raise Exception("Unknown draw mode '%s'" % self.drawMode)
self.updateImage()
def setDrawKernel(self, kernel=None, mask=None, center=(0,0), mode='set'):
self.drawKernel = kernel
self.drawKernelCenter = center
self.drawMode = mode
self.drawMask = mask
def removeClicked(self):
## Send remove event only after we have exited the menu event handler
self.removeTimer = QtCore.QTimer()
self.removeTimer.timeout.connect(self.emitRemoveRequested)
self.removeTimer.start(0)
def emitRemoveRequested(self):
self.removeTimer.timeout.disconnect(self.emitRemoveRequested)
self.sigRemoveRequested.emit(self)