def create_window():
win = ImageDialog(edit=False,
toolbar=True,
wintitle="Cross sections test",
options=dict(show_xsection=True, show_ysection=True))
win.resize(600, 600)
return win
def __init__(self,
parent=None,
designMode=False,
toolbar=True,
stackMode='deltatime',
buffersize=512,
options=None,
**kwargs):
'''see :class:`guiqwt.plot.ImageDialog` for other valid initialization parameters'''
defaultOptions = dict(lock_aspect_ratio=False)
if options is not None:
defaultOptions.update(options)
ImageDialog.__init__(self,
parent=parent,
toolbar=toolbar,
options=defaultOptions,
**kwargs)
TaurusBaseWidget.__init__(self, "TaurusTrend2DDialog")
self.trendItem = None
self.buffersize = buffersize
self._useArchiving = False
self._stackMode = stackMode
self.setStackMode(stackMode)
self.setWindowFlags(Qt.Qt.Widget)
# add some tools
for toolklass in (TaurusModelChooserTool, AutoScrollTool):
self.add_tool(toolklass)
self.get_tool(TaurusModelChooserTool).singleModel = True
self.setModifiableByUser(self._modifiableByUser)
self.setContextMenuPolicy(Qt.Qt.CustomContextMenu)
def roi_setup(self):
"""Show a dialog to setup the region of interest."""
dialog = ImageDialog("ROI Setup", edit=True, toolbar=False, parent=self)
default = dialog.add_tool(SelectTool)
dialog.set_default_tool(default)
roi_tool = dialog.add_tool(RectangleTool, switch_to_default_tool=True)
roi = self.cam.roi
old_roi = roi
roi_tool.activate()
# Get image and display
plot = dialog.get_plot()
img = make.image(self.cam_thread.img_data)
plot.add_item(img)
plot.set_active_item(img)
# Wait for user input
dialog.show()
if dialog.exec_():
try:
roi = get_rect(roi_tool)
self.cam.set_roi(roi)
except:
e = sys.exc_info()
print(e)
self.cam.set_roi(old_roi)
def create_window():
win = ImageDialog(edit=False,
toolbar=True,
wintitle="All image and plot tools test")
for toolklass in (
LabelTool,
HRangeTool,
VCursorTool,
HCursorTool,
XCursorTool,
SegmentTool,
RectangleTool,
ObliqueRectangleTool,
CircleTool,
EllipseTool,
MultiLineTool,
FreeFormTool,
PlaceAxesTool,
AnnotatedRectangleTool,
AnnotatedObliqueRectangleTool,
AnnotatedCircleTool,
AnnotatedEllipseTool,
AnnotatedSegmentTool,
AnnotatedPointTool,
):
win.add_tool(toolklass)
return win
def create_plot(self, options, row=0, column=0, rowspan=1, columnspan=1):
ImageDialog.create_plot(self, options, row, column, rowspan, columnspan)
ra_panel = ObliqueCrossSection(self)
splitter = self.plot_widget.xcsw_splitter
splitter.addWidget(ra_panel)
splitter.setStretchFactor(splitter.count() - 1, 1)
splitter.setSizes(list(splitter.sizes()) + [2])
self.add_panel(ra_panel)
def create_window():
gridparam = make.gridparam(background="black", minor_enabled=(False, False), major_style=(".", "gray", 1))
win = ImageDialog(
edit=False, toolbar=True, wintitle="Region of interest (ROI) test", options=dict(gridparam=gridparam)
)
for toolklass in (RectangleTool, EllipseTool, FreeFormTool, PlaceAxesTool):
win.add_tool(toolklass)
return win
def create_window():
gridparam = make.gridparam(background="black", minor_enabled=(False, False),
major_style=(".", "gray", 1))
win = ImageDialog(edit=False, toolbar=True,
wintitle="Region of interest (ROI) test",
options=dict(gridparam=gridparam))
for toolklass in (RectangleTool, EllipseTool, FreeFormTool, PlaceAxesTool):
win.add_tool(toolklass)
return win
def create_plot(self, options, row=0, column=0, rowspan=1, columnspan=1):
ImageDialog.create_plot(self, options, row, column, rowspan,
columnspan)
ra_panel = ObliqueCrossSection(self)
splitter = self.plot_widget.xcsw_splitter
splitter.addWidget(ra_panel)
splitter.setStretchFactor(splitter.count() - 1, 1)
splitter.setSizes(list(splitter.sizes()) + [2])
self.add_panel(ra_panel)
def __init__(self, parent=None, designMode=False, toolbar=True, **kwargs):
'''see :class:`guiqwt.plot.ImageDialog` for other valid initialization parameters'''
ImageDialog.__init__(self, parent=parent, toolbar=toolbar, **kwargs)
TaurusBaseWidget.__init__(self, 'TaurusImageDialog')
self.setWindowFlags(Qt.Qt.Widget)
self.imgItem = None
from taurus.qt.qtgui.extra_guiqwt.tools import TaurusModelChooserTool
self.add_tool(TaurusModelChooserTool, singleModel=True)
self.setModifiableByUser(True)
self.setContextMenuPolicy(Qt.Qt.CustomContextMenu)
def __init__(self, parent, wintitle=None, options=None, resize_to=None):
if wintitle is None:
wintitle = _("Rotate & Crop")
ImageDialog.__init__(self, wintitle=wintitle, edit=True,
toolbar=False, options=options, parent=parent)
if resize_to is not None:
width, height = resize_to
self.resize(width, height)
self.accepted.connect(self.accept_changes)
self.rejected.connect(self.reject_changes)
def create_plot(self, options):
self.filter_gbox = DataSetEditGroupBox(_("Filter parameters"), FilterParam)
self.filter_gbox.setEnabled(False)
self.filter_gbox.SIG_APPLY_BUTTON_CLICKED.connect(self.apply_filter)
self.plot_layout.addWidget(self.filter_gbox, 0, 0)
self.param_gbox = DataSetShowGroupBox(_("Image parameters"), ImageParam)
self.plot_layout.addWidget(self.param_gbox, 0, 1)
options = dict(title=_("Image title"), zlabel=_("z-axis scale label"))
ImageDialog.create_plot(self, options, 1, 0, 1, 0)
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
filename = osp.join(osp.dirname(__file__), "brain.png")
image = make.image(filename=filename, title="Original", colormap="gray")
win = ImageDialog(
edit=False,
toolbar=True,
wintitle="Contrast test",
options=dict(show_contrast=True),
)
plot = win.get_plot()
plot.add_item(image)
win.resize(600, 600)
win.show()
try:
plot.save_widget("contrast.png")
except IOError:
# Skipping this part of the test
# because user has no write permission on current directory
pass
win.exec_()
def create_window():
gridparam = make.gridparam(background="black",
minor_enabled=(False, False),
major_style=(".", "gray", 1))
win = ImageDialog(edit=False, toolbar=True,
wintitle="All image and plot tools test",
options=dict(gridparam=gridparam))
for toolklass in (RectangleTool, EllipseTool, SegmentTool,
MultiLineTool, FreeFormTool):
win.add_tool(toolklass, handle_final_shape_cb=customize_shape)
return win
def create_plot(self, options):
self.filter_gbox = DataSetEditGroupBox(_("Filter parameters"),
FilterParam)
self.filter_gbox.setEnabled(False)
self.filter_gbox.SIG_APPLY_BUTTON_CLICKED.connect(self.apply_filter)
self.plot_layout.addWidget(self.filter_gbox, 0, 0)
self.param_gbox = DataSetShowGroupBox(_("Image parameters"), ImageParam)
self.plot_layout.addWidget(self.param_gbox, 0, 1)
options = dict(title=_("Image title"), zlabel=_("z-axis scale label"))
ImageDialog.create_plot(self, options, 1, 0, 1, 0)
def test():
filename = osp.join(osp.dirname(__file__), "mr-brain.dcm")
image = make.image(filename=filename, title="DICOM img", colormap='gray')
win = ImageDialog(edit=False, toolbar=True, wintitle="DICOM I/O test",
options=dict(show_contrast=True))
plot = win.get_plot()
plot.add_item(image)
plot.select_item(image)
contrast = win.get_contrast_panel()
contrast.histogram.eliminate_outliers(54.)
win.resize(600, 700)
return win
def create_window():
gridparam = make.gridparam(background="black",
minor_enabled=(False, False),
major_style=(".", "gray", 1))
win = ImageDialog(edit=False,
toolbar=True,
wintitle="All image and plot tools test",
options=dict(gridparam=gridparam))
for toolklass in (RectangleTool, EllipseTool, SegmentTool, MultiLineTool,
FreeFormTool):
win.add_tool(toolklass, handle_final_shape_cb=customize_shape)
return win
def create_window():
win = ImageDialog(edit=False, toolbar=True,
wintitle="All image and plot tools test")
for toolklass in (LabelTool, HRangeTool,
VCursorTool, HCursorTool, XCursorTool,
SegmentTool, RectangleTool, ObliqueRectangleTool,
CircleTool, EllipseTool,
MultiLineTool, FreeFormTool, PlaceAxesTool,
AnnotatedRectangleTool, AnnotatedObliqueRectangleTool,
AnnotatedCircleTool, AnnotatedEllipseTool,
AnnotatedSegmentTool, AnnotatedPointTool):
win.add_tool(toolklass)
return win
def imshow(data, title=None, hold=False):
dlg = ImageDialog(wintitle=title)
dlg.get_plot().add_item(make.image(data))
if hold:
dlg.show()
else:
dlg.exec_()
def taurusImageMain():
from guiqwt.tools import (RectangleTool, EllipseTool, HRangeTool,
PlaceAxesTool, MultiLineTool, FreeFormTool,
SegmentTool, CircleTool, AnnotatedRectangleTool,
AnnotatedEllipseTool, AnnotatedSegmentTool,
AnnotatedCircleTool, LabelTool,
AnnotatedPointTool, ObliqueRectangleTool,
AnnotatedObliqueRectangleTool)
try: # In newer guiqwt versions, Annotated*CursorTool have been replaced by *CursorTool
from guiqwt.tools import AnnotatedVCursorTool, AnnotatedHCursorTool
VCursorTool, HCursorTool = AnnotatedVCursorTool, AnnotatedHCursorTool
except ImportError:
from guiqwt.tools import VCursorTool, HCursorTool
from taurus.qt.qtgui.extra_guiqwt.tools import TaurusImageChooserTool
from guiqwt.plot import ImageDialog
from taurus.qt.qtgui.extra_guiqwt.builder import make
from taurus.qt.qtgui.application import TaurusApplication
import taurus.core.util.argparse
import sys
parser = taurus.core.util.argparse.get_taurus_parser()
parser.set_usage("%prog [options] [<model1> [<model2>] ...]")
parser.set_description("a taurus application for plotting 2D data sets")
app = TaurusApplication(cmd_line_parser=parser,
app_name="taurusimage",
app_version=taurus.Release.version)
args = app.get_command_line_args()
# create a dialog with a plot and add the images
win = ImageDialog(edit=False,
toolbar=True,
wintitle="Taurus Image",
options=dict(show_xsection=False, show_ysection=False))
# add tools
for toolklass in (TaurusImageChooserTool, LabelTool, HRangeTool,
MultiLineTool, FreeFormTool, PlaceAxesTool,
AnnotatedObliqueRectangleTool, AnnotatedEllipseTool,
AnnotatedSegmentTool, AnnotatedPointTool, VCursorTool,
HCursorTool):
win.add_tool(toolklass)
# add images from given models
plot = win.get_plot()
for m in args:
img = make.image(taurusmodel=m)
plot.add_item(img)
# IMPORTANT: connect the cross section plots to the taurusimage so that
# they are updated when the taurus data changes
win.connect(img.getSignaller(), Qt.SIGNAL("dataChanged"),
win.update_cross_sections)
win.exec_()
def xyimagebug(offset):
from guiqwt.plot import ImageDialog
from guiqwt.builder import make
import numpy
import guidata
app = guidata.qapplication()
data = numpy.random.rand(100, 100)
x = numpy.arange(100)+offset
y = numpy.arange(100)
image = make.xyimage(x, y, data=data)
win = ImageDialog()
plot = win.get_plot()
plot.add_item(image)
plot.select_item(image) #this helps in seeing where the image should be
win.exec_()
def xyimagebug(offset):
from guiqwt.plot import ImageDialog
from guiqwt.builder import make
import numpy
import guidata
app = guidata.qapplication()
data = numpy.random.rand(100, 100)
x = numpy.arange(100)+offset
y = numpy.arange(100)
image = make.xyimage(x, y, data=data)
win = ImageDialog()
plot = win.get_plot()
plot.add_item(image)
plot.select_item(image) #this helps in seeing where the image should be
win.exec_()
def get_segment(item):
"""Show image and return selected segment coordinates"""
win = ImageDialog(_("Select a segment then press OK to accept"), edit=True)
default = win.add_tool(SelectTool)
win.set_default_tool(default)
segtool = win.add_tool(AnnotatedSegmentTool,
title="Test",
switch_to_default_tool=True)
segtool.activate()
plot = win.get_plot()
plot.add_item(item)
plot.set_active_item(item)
win.show()
if win.exec_():
shape = segtool.get_last_final_shape()
return shape.get_rect()
def mandel():
win = ImageDialog(edit=True,
toolbar=True,
wintitle="Mandelbrot",
options=dict(yreverse=False))
mandel = MandelItem(-1.5, .5, -1., 1.)
win.add_tool(FullScale, mandel)
plot = win.get_plot()
plot.set_aspect_ratio(lock=False)
plot.add_item(mandel)
plot.set_full_scale(mandel)
win.show()
win.exec_()
def create_dialog(self):
self.dlg = dlg = ImageDialog(\
edit=False, toolbar=True, wintitle="Load/save test",
options=dict(title="Title", xlabel="xlabel", ylabel="ylabel"))
dlg.add_separator_tool()
dlg.add_tool(LoadItemsTool)
dlg.add_tool(SaveItemsTool)
dlg.add_tool(ImageMaskTool)
def imshow(items, title=""):
gridparam = make.gridparam(background="black",
minor_enabled=(False, False),
major_style=(".", "gray", 1))
win = ImageDialog(edit=False,
toolbar=True,
wintitle=title,
options=dict(gridparam=gridparam))
nc = int(np.sqrt(len(items)) + 1.0)
maxy = 0
y = 0
x = 0
w = None
plot = win.get_plot()
print("-" * 80)
for i, item in enumerate(items):
h = item.boundingRect().height()
if i % nc == 0:
x = 0
y += maxy
maxy = h
else:
x += w
maxy = max(maxy, h)
w = item.boundingRect().width()
item.set_transform(x, y, 0.0)
print("Adding item #%d..." % i, end=' ')
plot.add_item(item)
print("Done")
win.show()
win.exec_()
def imshow(filename):
win = ImageDialog(edit=False, toolbar=True, wintitle="RGB image item test")
item = make.rgbimage(filename=filename, xdata=[-1, 1], ydata=[-1, 1])
plot = win.get_plot()
plot.add_item(item)
win.show()
win.exec_()
def test():
win = ImageDialog(edit=True, toolbar=True, wintitle="Sample multi-polygon item")
plot = win.get_plot()
plot.set_aspect_ratio(lock=True)
plot.set_antialiasing(False)
plot.set_axis_direction("left", False)
plot.set_axis_title("bottom", "Lon")
plot.set_axis_title("left", "Lat")
points = []
offsets = zeros((NCIRC, 2), int32)
colors = zeros((NCIRC, 2), uint32)
npts = 0
for k in range(NCIRC):
pts = create_circle()
offsets[k, 0] = k
offsets[k, 1] = npts
npts += pts.shape[0]
points.append(pts)
colors[k, 0] = COLORS[k % len(COLORS)][0]
colors[k, 1] = COLORS[(3 * k) % len(COLORS)][1]
points = concatenate(points)
print(NCIRC, "Polygons")
print(points.shape[0], "Points")
crv = PolygonMapItem()
crv.set_data(points, offsets, colors)
plot.add_item(crv, z=0)
win.show()
win.exec_()
def mandel():
win = ImageDialog(edit=True, toolbar=True, wintitle="Mandelbrot",
options=dict(yreverse=False))
mandel = MandelItem(-1.5, .5, -1., 1.)
win.add_tool(FullScale, mandel)
plot = win.get_plot()
plot.set_aspect_ratio(lock=False)
plot.add_item(mandel)
plot.set_full_scale(mandel)
win.show()
win.exec_()
def imshow( items ):
win = ImageDialog(edit=False, toolbar=True, options={"yreverse": False},
wintitle="Pcolor test")
plot = win.get_plot()
for item in items:
plot.add_item(item)
win.show()
win.exec_()
def get_segment(item):
"""Show image and return selected segment coordinates"""
win = ImageDialog(_("Select a segment then press OK to accept"), edit=True)
default = win.add_tool(SelectTool)
win.set_default_tool(default)
segtool = win.add_tool(AnnotatedSegmentTool, title="Test",
switch_to_default_tool=True)
segtool.activate()
plot = win.get_plot()
plot.add_item(item)
plot.set_active_item(item)
win.show()
if win.exec_():
shape = segtool.get_last_final_shape()
return shape.get_rect()
def imshow( data ):
win = ImageDialog(edit=False, toolbar=True, wintitle="ImageDialog test",
options=dict(xlabel='Concentration', xunit='ppm'))
item = make.image(data)
plot = win.get_plot()
plot.add_item(item)
win.show()
win.exec_()
def imshow( x, y, data ):
win = ImageDialog(edit=False, toolbar=True,
wintitle="Image with custom X/Y axes scales",
options=dict(xlabel="x (a.u.)", ylabel="y (a.u.)",
yreverse=False))
item = make.xyimage(x, y, data)
plot = win.get_plot()
plot.add_item(item)
win.show()
win.exec_()
def __init__(self, parent):
super(QWidget, self).__init__(parent)
self.parent = parent
self.base_path = os.path.realpath(os.path.curdir)
self.threadAcq = ThreadAcq(self)
self.configMTE = QSettings('configMTE.ini', QSettings.IniFormat)
self.setup()
self.win = ImageDialog(edit=False,
toolbar=True,
wintitle="Visu Data",
options=dict(show_xsection=True,
show_ysection=True,
show_contrast=True,
show_itemlist=False))
self.win.resize(800, 1000)
data = np.ones((1300, 1340))
self.item_data = make.image(data, colormap='hot')
self.plot = self.win.get_plot()
self.plot.add_item(self.item_data)
def imshow(filename):
win = ImageDialog(edit=False, toolbar=True, wintitle="RGB image item test")
item = make.rgbimage(filename=filename, xdata=[-1, 1], ydata=[-1, 1])
plot = win.get_plot()
plot.add_item(item)
win.show()
win.exec_()
def test():
win = ImageDialog(edit=True, toolbar=True,
wintitle="Sample multi-polygon item")
plot = win.get_plot()
plot.set_aspect_ratio(lock=True)
plot.set_antialiasing(False)
plot.set_axis_direction('left', False)
plot.set_axis_title("bottom", "Lon")
plot.set_axis_title("left", "Lat")
points = []
offsets = zeros( (NCIRC, 2), int32)
colors = zeros( (NCIRC, 2), uint32)
npts = 0
for k in range(NCIRC):
pts = create_circle()
offsets[k, 0] = k
offsets[k, 1] = npts
npts += pts.shape[0]
points.append(pts)
colors[k, 0] = COLORS[k%len(COLORS)][0]
colors[k, 1] = COLORS[(3*k)%len(COLORS)][1]
points = concatenate(points)
print(NCIRC, "Polygons")
print(points.shape[0], "Points")
crv = PolygonMapItem()
crv.set_data(points, offsets, colors)
plot.add_item(crv, z=0)
win.show()
win.exec_()
class Ui_Form(object):
def setupUi(self, Form):
Form.setObjectName(_fromUtf8("Form"))
Form.resize(651, 506)
self.gridLayout = QtGui.QGridLayout(Form)
self.gridLayout.setObjectName(_fromUtf8("gridLayout"))
self.imagewidget = ImageDialog()
self.imagewidget.setOrientation(QtCore.Qt.Vertical)
self.imagewidget.setObjectName(_fromUtf8("imagewidget"))
for toolklass in (LabelTool, HRangeTool,
VCursorTool, HCursorTool, XCursorTool,
SegmentTool, RectangleTool, ObliqueRectangleTool,
CircleTool, EllipseTool,
MultiLineTool, FreeFormTool, PlaceAxesTool,
AnnotatedRectangleTool, AnnotatedObliqueRectangleTool,
AnnotatedCircleTool, AnnotatedEllipseTool,
AnnotatedSegmentTool, AnnotatedPointTool):
self.imagewidget.add_tool(toolklass)
self.gridLayout.addWidget(self.imagewidget, 0, 0, 1, 1)
self.retranslateUi(Form)
QtCore.QMetaObject.connectSlotsByName(Form)
def retranslateUi(self, Form):
Form.setWindowTitle(_translate("Form", "Form", None))
def imshow(items, title=""):
gridparam = make.gridparam(background="black", minor_enabled=(False, False),
major_style=(".", "gray", 1))
win = ImageDialog(edit=False, toolbar=True, wintitle=title,
options=dict(gridparam=gridparam))
nc = int(np.sqrt(len(items))+1.0)
maxy = 0
y = 0
x = 0
w = None
plot = win.get_plot()
print("-"*80)
for i, item in enumerate(items):
h = item.boundingRect().height()
if i%nc==0:
x = 0
y += maxy
maxy = h
else:
x += w
maxy = max(maxy, h)
w = item.boundingRect().width()
item.set_transform(x, y, 0.0)
print("Adding item #%d..." % i, end=' ')
plot.add_item(item)
print("Done")
win.show()
win.exec_()
def imshow( items ):
win = ImageDialog(edit=False, toolbar=True, options={"yreverse": False},
wintitle="Pcolor test")
plot = win.get_plot()
for item in items:
plot.add_item(item)
win.show()
win.exec_()
def __init__(self, parent=None, designMode=False, toolbar=True,
stackMode='deltatime', buffersize=512, options=None, **kwargs):
"""see :class:`guiqwt.plot.ImageDialog` for other valid initialization
parameters"""
defaultOptions = dict(lock_aspect_ratio=False)
if options is not None:
defaultOptions.update(options)
ImageDialog.__init__(self, parent=parent, toolbar=toolbar,
options=defaultOptions, **kwargs)
TaurusBaseWidget.__init__(self, "TaurusTrend2DDialog")
self.trendItem = None
self.buffersize = buffersize
self._useArchiving = False
self._stackMode = stackMode
self.setStackMode(stackMode)
self.setWindowFlags(Qt.Qt.Widget)
# add some tools
for toolklass in (TaurusModelChooserTool, AutoScrollTool):
self.add_tool(toolklass)
self.get_tool(TaurusModelChooserTool).singleModel = True
self.setModifiableByUser(self._modifiableByUser)
self.setContextMenuPolicy(Qt.Qt.CustomContextMenu)
self.registerConfigDelegate(self.get_tool(AutoScrollTool))
def hist2d_func(X, Y, Z):
win = ImageDialog(edit=True, toolbar=True,
wintitle="2-D Histogram X0=(0,1), X1=(-1,-1)")
hist2d = make.histogram2D(X, Y, 200, 200, Z=Z, computation=2)
curve = make.curve(X[::50], Y[::50],
linestyle='', marker='+', title=_("Markers"))
plot = win.get_plot()
plot.set_aspect_ratio(lock=False)
plot.set_antialiasing(False)
plot.add_item(hist2d)
plot.add_item(curve)
plot.set_item_visible(curve, False)
win.show()
win.exec_()
def hist2d_func(X, Y, Z):
win = ImageDialog(edit=True, toolbar=True, wintitle="2-D Histogram X0=(0,1), X1=(-1,-1)")
hist2d = make.histogram2D(X, Y, 200, 200, Z=Z, computation=2)
curve = make.curve(X[::50], Y[::50], linestyle="", marker="+", title=_("Markers"))
plot = win.get_plot()
plot.set_aspect_ratio(lock=False)
plot.set_antialiasing(False)
plot.add_item(hist2d)
plot.add_item(curve)
plot.set_item_visible(curve, False)
win.show()
win.exec_()
def taurusImageMain():
from guiqwt.tools import (RectangleTool, EllipseTool, HRangeTool, PlaceAxesTool,
MultiLineTool, FreeFormTool, SegmentTool, CircleTool,
AnnotatedRectangleTool, AnnotatedEllipseTool,
AnnotatedSegmentTool, AnnotatedCircleTool, LabelTool,
AnnotatedPointTool, ObliqueRectangleTool,
AnnotatedObliqueRectangleTool)
try: # In newer guiqwt versions, Annotated*CursorTool have been replaced by *CursorTool
from guiqwt.tools import AnnotatedVCursorTool, AnnotatedHCursorTool
VCursorTool, HCursorTool = AnnotatedVCursorTool, AnnotatedHCursorTool
except ImportError:
from guiqwt.tools import VCursorTool, HCursorTool
from taurus.qt.qtgui.extra_guiqwt.tools import TaurusImageChooserTool
from guiqwt.plot import ImageDialog
from taurus.qt.qtgui.extra_guiqwt.builder import make
from taurus.qt.qtgui.application import TaurusApplication
import taurus.core.util.argparse
import sys
parser = taurus.core.util.argparse.get_taurus_parser()
parser.set_usage("%prog [options] [<model1> [<model2>] ...]")
parser.set_description("a taurus application for plotting 2D data sets")
app = TaurusApplication(
cmd_line_parser=parser, app_name="taurusimage", app_version=taurus.Release.version)
args = app.get_command_line_args()
# create a dialog with a plot and add the images
win = ImageDialog(edit=False, toolbar=True, wintitle="Taurus Image",
options=dict(show_xsection=False, show_ysection=False))
# add tools
for toolklass in (TaurusImageChooserTool,
LabelTool, HRangeTool,
MultiLineTool, FreeFormTool, PlaceAxesTool,
AnnotatedObliqueRectangleTool,
AnnotatedEllipseTool, AnnotatedSegmentTool,
AnnotatedPointTool, VCursorTool,
HCursorTool):
win.add_tool(toolklass)
# add images from given models
plot = win.get_plot()
for m in args:
img = make.image(taurusmodel=m)
plot.add_item(img)
# IMPORTANT: connect the cross section plots to the taurusimage so that
# they are updated when the taurus data changes
img.dataChanged.connect(win.update_cross_sections)
win.exec_()
def test():
filename = osp.join(osp.dirname(__file__), "mr-brain.dcm")
image = make.image(filename=filename, title="DICOM img", colormap='gray')
win = ImageDialog(edit=False,
toolbar=True,
wintitle="DICOM I/O test",
options=dict(show_contrast=True))
plot = win.get_plot()
plot.add_item(image)
plot.select_item(image)
contrast = win.get_contrast_panel()
contrast.histogram.eliminate_outliers(54.)
win.resize(600, 700)
return win
def imshow(x, y, data, filter_area, yreverse=True):
win = ImageDialog(edit=False, toolbar=True, wintitle="Image filter demo",
options=dict(xlabel="x (cm)", ylabel="y (cm)",
yreverse=yreverse))
image = make.xyimage(x, y, data)
plot = win.get_plot()
plot.add_item(image)
xmin, xmax, ymin, ymax = filter_area
flt = make.imagefilter(xmin, xmax, ymin, ymax, image,
filter=lambda x, y, data: gaussian_filter(data, 5))
plot.add_item(flt, z=1)
plot.replot()
win.show()
win.exec_()
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
filename = osp.join(osp.dirname(__file__), "brain.png")
image = make.image(filename=filename, title="Original", colormap='gray')
win = ImageDialog(edit=False, toolbar=True, wintitle="Contrast test",
options=dict(show_contrast=True))
plot = win.get_plot()
plot.add_item(image)
win.resize(600, 600)
win.show()
try:
plot.save_widget('contrast.png')
except IOError:
# Skipping this part of the test
# because user has no write permission on current directory
pass
win.exec_()
def plotImage(x,y,z,wintitle="Contour Plot",options={"lock_aspect_ratio":False,"yreverse":False}):
options.update(dict(show_xsection=True, show_ysection=True))
"""Test"""
# -- Create QApplication
_app = guidata.qapplication()
# --
win = ImageDialog(edit=True, toolbar=True, wintitle=wintitle,
options=options)
win.resize(1500, 1000)
item = make.xyimage(x, y, z,interpolation="linear")
plot = win.get_plot()
plot.add_item(item)
win.plot_widget.xcsw_splitter.setSizes([400,600])
win.show()
return win
def imshow(x, y, data, filter_area, yreverse=True):
win = ImageDialog(edit=False,
toolbar=True,
wintitle="Image filter demo",
options=dict(xlabel="x (cm)",
ylabel="y (cm)",
yreverse=yreverse))
image = make.xyimage(x, y, data)
plot = win.get_plot()
plot.add_item(image)
xmin, xmax, ymin, ymax = filter_area
flt = make.imagefilter(xmin,
xmax,
ymin,
ymax,
image,
filter=lambda x, y, data: gaussian_filter(data, 5))
plot.add_item(flt, z=1)
plot.replot()
win.show()
win.exec_()
def test1():
"""Adapted from guiqwt cross_section.py example"""
from guiqwt.plot import ImageDialog
from taurus.qt.qtgui.extra_guiqwt.builder import make
from taurus.qt.qtgui.application import TaurusApplication
app = TaurusApplication(cmd_line_parser=None)
# define a taurus image
#model1 = 'sys/tg_test/1/short_image_ro'
#model1 = 'sys/tg_test/1/long64_image_ro'
model1 = 'sys/tg_test/1/ulong_image_ro'
taurusimage = make.image(taurusmodel=model1)
#taurusrgbimage = make.rgbimage(taurusmodel= 'eval:array([[[ 222, 0, 0], [0, 222, 0]], [[0, 0, 222], [222, 222, 222]]])')
#taurusxyimage= make.xyimage(taurusmodel= model1)
#taurusxyimage.set_xy(numpy.arange(251)*10,numpy.arange(251)*100 )
# define normal image (guiqwt standard)
#data = numpy.random.rand(100,100)
#image = make.image(data=data)
# create a dialog with a plot and add the images
win = ImageDialog(edit=False,
toolbar=True,
wintitle="Taurus Cross sections test",
options=dict(show_xsection=False, show_ysection=False))
from taurus.qt.qtgui.extra_guiqwt.tools import TaurusImageChooserTool
win.add_tool(TaurusImageChooserTool)
plot = win.get_plot()
plot.add_item(taurusimage)
# plot.add_item(taurusxyimage)
# plot.add_item(image)
# plot.add_item(taurusrgbimage)
# win.get_itemlist_panel().show()
# IMPORTANT: connect the cross section plots to the taurusimage so that they are updated when the taurus data changes
# taurusimage.dataChanged.connect(win.update_cross_sections)
win.exec_()
def data_view(data, ofa, data_title):
win = ImageDialog(edit=True,
toolbar=True,
wintitle="DW viewer",
options=dict(show_contrast=False,
xlabel='Channel',
xunit='#',
ylabel='time',
show_xsection=True,
show_ysection=True))
# win.add_tool(AnnotatedRectangleTool)
# win.add_tool(ReverseYAxisTool)
# win.add_tool(AnnotatedRectangleTool, title="Flag",
# switch_to_default_tool=False,
# handle_final_shape_cb=customize_shape)
# win.add_tool(VCursorTool)
# sst=win.add_tool(SignalStatsTool)
# SignalStatsTool.activate(sst)
xcs = win.panels['x_cross_section']
xcs.cs_plot.curveparam.curvestyle = 'Steps'
xcs.cs_plot.perimage_mode = False
ycs = win.panels['y_cross_section']
ycs.cs_plot.curveparam.curvestyle = 'Steps'
ycs.cs_plot.perimage_mode = False
item_data = make.image(data, title=data_title)
item_data.interpolate = (0, )
item_ofa = make.image(ofa, title='Overflow')
item_ofa.interpolate = (0, )
item_ofa.imageparam.alpha_mask = True
plot = win.get_plot()
plot.add_item(item_data)
plot.add_item(item_ofa)
# plot.add_item(itemFlag)
win.show()
if win.exec_():
# return plot.items
return win
def plotImage(x,
y,
z,
wintitle="Contour Plot",
options={
"lock_aspect_ratio": False,
"yreverse": False
}):
options.update(dict(show_xsection=True, show_ysection=True))
"""Test"""
# -- Create QApplication
_app = guidata.qapplication()
# --
win = ImageDialog(edit=True,
toolbar=True,
wintitle=wintitle,
options=options)
win.resize(1500, 1000)
item = make.xyimage(x, y, z, interpolation="linear")
plot = win.get_plot()
plot.add_item(item)
win.plot_widget.xcsw_splitter.setSizes([400, 600])
win.show()
return win
def test1():
"""Adapted from guiqwt cross_section.py example"""
from guiqwt.plot import ImageDialog
from taurus.qt.qtgui.extra_guiqwt.builder import make
from taurus.qt.qtgui.application import TaurusApplication
app = TaurusApplication()
# define a taurus image
#model1 = 'sys/tg_test/1/short_image_ro'
#model1 = 'sys/tg_test/1/long64_image_ro'
model1 = 'sys/tg_test/1/ulong_image_ro'
taurusimage = make.image(taurusmodel=model1)
#taurusrgbimage = make.rgbimage(taurusmodel= 'eval:array([[[ 222, 0, 0], [0, 222, 0]], [[0, 0, 222], [222, 222, 222]]])')
#taurusxyimage= make.xyimage(taurusmodel= model1)
#taurusxyimage.set_xy(numpy.arange(251)*10,numpy.arange(251)*100 )
# define normal image (guiqwt standard)
#data = numpy.random.rand(100,100)
#image = make.image(data=data)
# create a dialog with a plot and add the images
win = ImageDialog(edit=False, toolbar=True, wintitle="Taurus Cross sections test",
options=dict(show_xsection=False, show_ysection=False))
from taurus.qt.qtgui.extra_guiqwt.tools import TaurusImageChooserTool
win.add_tool(TaurusImageChooserTool)
plot = win.get_plot()
plot.add_item(taurusimage)
# plot.add_item(taurusxyimage)
# plot.add_item(image)
# plot.add_item(taurusrgbimage)
# win.get_itemlist_panel().show()
# IMPORTANT: connect the cross section plots to the taurusimage so that they are updated when the taurus data changes
# taurusimage.dataChanged.connect(win.update_cross_sections)
win.exec_()
def register_tools(self):
ImageDialog.register_tools(self)
self.add_tool(SegmentTool, handle_final_shape_cb=self.draw_seg)
self.DrawPoint = PointTool
self.add_tool(self.DrawPoint, handle_final_shape_cb=self.draw_point)
self.add_tool(RectangleTool, handle_final_shape_cb=self.draw_rect)
def create_plot(self, options):
ImageDialog.create_plot(self, options)
def create_window():
win = ImageDialog(edit=False, toolbar=True, wintitle="Cross sections test",
options=dict(show_xsection=True, show_ysection=True,
show_itemlist=True))
win.resize(800, 600)
return win
def register_image_tools(self):
ImageDialog.register_image_tools(self)
for tool in (ObliqueCrossSectionTool, OCSPanelTool, ImageMaskTool):
self.add_tool(tool)
import os, os.path as osp, pickle
from guiqwt.plot import ImageDialog
from guiqwt.tools import ImageMaskTool
from guiqwt.builder import make
SHOW = True # Show test in GUI-based test launcher
FNAME = "image_masked.pickle"
if __name__ == "__main__":
import guidata
_app = guidata.qapplication()
win = ImageDialog(toolbar=True, wintitle="Masked image item test")
win.add_tool(ImageMaskTool)
if os.access(FNAME, os.R_OK):
print("Restoring mask...", end=" ")
iofile = open(FNAME, "rb")
image = pickle.load(iofile)
iofile.close()
print("OK")
else:
fname = osp.join(osp.abspath(osp.dirname(__file__)), "brain.png")
image = make.maskedimage(filename=fname, colormap="gray", show_mask=True, xdata=[0, 20], ydata=[0, 25])
win.get_plot().add_item(image)
win.show()
win.exec_()
iofile = open(FNAME, "wb")
pickle.dump(image, iofile)