def setImageData(self, imageData): # Clear any previous nodes for node in self.nodes: self.histogramWidget.scene().removeItem(node) self.nodes = [] # Clear any previous lines for line in self.lines: self.histogramWidget.scene().removeItem(line) self.lines = [] bins = DataAnalyzer.histogramForData(imageData, 256) self.histogram.bins = bins self.histogram.enabled = True self.range = imageData.GetScalarRange() # Create and add nodes from the transfer function self.updateNodes() self.valueChanged.emit(self)
def setImageData(self, imageData):
# Clear any previous nodes
for node in self.nodes:
self.histogramWidget.scene().removeItem(node)
self.nodes = []
# Clear any previous lines
for line in self.lines:
self.histogramWidget.scene().removeItem(line)
self.lines = []
bins = DataAnalyzer.histogramForData(imageData, 256)
self.histogram.bins = bins
self.histogram.enabled = True
self.range = imageData.GetScalarRange()
# Create and add nodes from the transfer function
self.updateNodes()
self.valueChanged.emit(self)
def setFile(self, fileName):
"""
Slot that reads properties of the dataset and displays them in a few widgets.
"""
if fileName is None:
return
self.fileName = fileName
# Read info from dataset
# TODO: read out the real world dimensions in inch or cm
# TODO: scalar type (int, float, short, etc.)
imageReader = DataReader()
imageData = imageReader.GetImageData(fileName)
directory, name = os.path.split(fileName)
dimensions = imageData.GetDimensions()
minimum, maximum = imageData.GetScalarRange()
scalarType = imageData.GetScalarTypeAsString()
bins = DataAnalyzer.histogramForData(imageData, 256)
self.histogram = Histogram()
self.histogram.bins = bins
self.histogram.enabled = True
self.histogramWidget = HistogramWidget()
self.histogramWidget.setMinimumHeight(100)
self.histogramWidget.setHistogram(self.histogram)
self.histogramWidget.setAxeMode(bottom=HistogramWidget.AxeClear,
left=HistogramWidget.AxeLog)
Style.styleWidgetForTab(self.histogramWidget)
nameText = name
dimsText = "(" + str(dimensions[0]) + ", " + str(dimensions[1]) + ", " + str(dimensions[2]) + ")"
voxsText = str(dimensions[0] * dimensions[1] * dimensions[2])
rangText = "[" + str(minimum) + " : " + str(maximum) + "]"
typeText = scalarType
layout = self.layout()
if not layout:
# Create a new layout
layout = QGridLayout()
layout.setAlignment(Qt.AlignTop)
# Create string representations
nameLabels = []
nameLabels.append(QLabel("File name:"))
nameLabels.append(QLabel("Dimensions:"))
nameLabels.append(QLabel("Voxels:"))
nameLabels.append(QLabel("Range:"))
nameLabels.append(QLabel("Data type:"))
for label in nameLabels:
label.setAlignment(Qt.AlignRight | Qt.AlignVCenter)
# Create 'dynamic' labels
self.labelTitle = QLabel(nameText)
self.labelDimensions = QLabel(dimsText)
self.labelVoxels = QLabel(voxsText)
self.labelRange = QLabel(rangText)
self.labelType = QLabel(typeText)
index = 0
for label in nameLabels:
layout.addWidget(label, index, 0)
index += 1
layout.addWidget(self.labelTitle, 0, 1)
layout.addWidget(self.labelDimensions, 1, 1)
layout.addWidget(self.labelVoxels, 2, 1)
layout.addWidget(self.labelRange, 3, 1)
layout.addWidget(self.labelType, 4, 1)
layout.addWidget(self.histogramWidget, 5, 0, 1, 2)
widget = QWidget()
widget.setLayout(layout)
Style.styleWidgetForTab(widget)
self.scrollArea.setWidget(widget)
scrollLayout = QGridLayout()
scrollLayout.setSpacing(0)
scrollLayout.setContentsMargins(0, 0, 0, 0)
scrollLayout.addWidget(self.scrollArea)
self.setLayout(scrollLayout)
else:
# Just update the text for the 'dynamic' labels
self.labelTitle.setText(nameText)
self.labelDimensions.setText(dimsText)
self.labelVoxels.setText(voxsText)
self.labelRange.setText(rangText)
self.labelType.setText(typeText)
def setFile(self, fileName):
"""
Slot that reads properties of the dataset and displays them in a few widgets.
"""
if fileName is None:
return
# Read info from dataset
# TODO: read out the real world dimensions in inch or cm
# TODO: scalar type (int, float, short, etc.)
imageReader = DataReader()
imageData = imageReader.GetImageData(fileName)
directory, name = os.path.split(fileName)
dimensions = imageData.GetDimensions()
minimum, maximum = imageData.GetScalarRange()
bins = DataAnalyzer.histogramForData(imageData, 256)
self.histogram = Histogram()
self.histogram.bins = bins
self.histogram.enabled = True
self.histogramWidget = HistogramWidget()
self.histogramWidget.setHistogram(self.histogram)
self.histogramWidget.setAxeMode(bottom=HistogramWidget.AxeClear,
left=HistogramWidget.AxeLog)
Style.styleWidgetForTab(self.histogramWidget)
nameText = name
dimsText = "(" + str(dimensions[0]) + ", " + str(dimensions[1]) + ", " + str(dimensions[2]) + ")"
voxsText = str(dimensions[0] * dimensions[1] * dimensions[2])
rangText = "[" + str(minimum) + " : " + str(maximum) + "]"
layout = self.layout()
if not layout:
# Create a new layout
layout = QGridLayout()
layout.setAlignment(Qt.AlignTop)
# Create string representations
nameField = QLabel("File name:")
dimsField = QLabel("Dimensions:")
voxsField = QLabel("Voxels:")
rangField = QLabel("Range:")
nameField.setAlignment(Qt.AlignRight | Qt.AlignVCenter)
dimsField.setAlignment(Qt.AlignRight | Qt.AlignVCenter)
voxsField.setAlignment(Qt.AlignRight | Qt.AlignVCenter)
rangField.setAlignment(Qt.AlignRight | Qt.AlignVCenter)
# Create 'dynamic' labels
self.labelTitle = QLabel(nameText)
self.labelDimensions = QLabel(dimsText)
self.labelVoxels = QLabel(voxsText)
self.labelRange = QLabel(rangText)
layout.addWidget(nameField, 0, 0)
layout.addWidget(dimsField, 1, 0)
layout.addWidget(voxsField, 2, 0)
layout.addWidget(rangField, 3, 0)
layout.addWidget(self.labelTitle, 0, 1)
layout.addWidget(self.labelDimensions, 1, 1)
layout.addWidget(self.labelVoxels, 2, 1)
layout.addWidget(self.labelRange, 3, 1)
layout.addWidget(self.histogramWidget, 4, 0, 1, 2)
self.setLayout(layout)
else:
# Just update the text for the 'dynamic' labels
self.labelTitle.setText(nameText)
self.labelDimensions.setText(dimsText)
self.labelVoxels.setText(voxsText)
self.labelRange.setText(rangText)
