def make_sequential_flowchart(clsList, inputData=None):
nNodes = len(clsList)
nodelib = fclib.NodeLibrary()
for cls in clsList:
cls.debug = True
nodelib.addNodeType(cls, [('Basic')])
fc = Flowchart(terminals={
'dataIn': {
'io': 'in'
},
'dataOut': {
'io': 'out'
}
})
fc.library = nodelib
nodes = []
for cls in clsList:
nodes.append(fc.createNode(cls.nodeName))
fc.connectTerminals(fc['dataIn'], nodes[0]['dataIn'])
for i in range(nNodes - 1):
fc.connectTerminals(nodes[i]['dataOut'], nodes[i + 1]['dataIn'])
fc.connectTerminals(nodes[nNodes - 1]['dataOut'], fc['dataOut'])
if inputData is not None:
fc.setInput(dataIn=inputData)
return nodes, fc
class AppWindow(QtGui.QMainWindow, hackYourOwn.Ui_MainWindow,utilitiesClass):
def __init__(self, parent=None,**kwargs):
super(AppWindow, self).__init__(parent)
self.setupUi(self)
self.I=kwargs.get('I',None)
self.setWindowTitle('pyqtgraph example: FlowchartCustomNode')
## Create an empty flowchart with a single input and output
self.fc = Flowchart(terminals={
'dataIn': {'io': 'in'},
})
self.w = self.fc.widget()
self.WidgetLayout.addWidget(self.fc.widget())
self.plot1 = self.add2DPlot(self.ExperimentLayout)
self.plot2 = self.add2DPlot(self.ExperimentLayout)
self.curve1 = self.addCurve(self.plot1)
self.curve2 = self.addCurve(self.plot2)
self.curve1.setData([1,2,3],[5,6,7])
self.library = fclib.LIBRARY.copy() # start with the default node set
self.library.addNodeType(PlotViewNode, [('Display',)])
self.library.addNodeType(CaptureNode, [('Acquire',)])
self.fc.setLibrary(self.library)
## Now we will programmatically add nodes to define the function of the flowchart.
## Normally, the user will do this manually or by loading a pre-generated
## flowchart file.
self.cap = self.fc.createNode('Capture', pos=(0, 0))
self.cap.setI(self.I)
self.v1Node = self.fc.createNode('PlotView', pos=(0, -150))
self.v1Node.setView(self.curve1)
self.v2Node = self.fc.createNode('PlotView', pos=(150, -150))
self.v2Node.setView(self.curve2)
self.fc.connectTerminals(self.fc['dataIn'], self.cap['dataIn'])
self.fc.connectTerminals(self.cap['dataOut'], self.v1Node['data'])
#self.fc.connectTerminals(self.fc['dataIn'], self.v2Node['data'])
self.fc.setInput(dataIn=True)
def run(self):
self.fc.setInput(dataIn=True)
def __del__(self):
#self.looptimer.stop()
print ('bye')
def closeEvent(self, event):
self.finished=True
class AppWindow(QtGui.QMainWindow, hackYourOwn.Ui_MainWindow, utilitiesClass):
def __init__(self, parent=None, **kwargs):
super(AppWindow, self).__init__(parent)
self.setupUi(self)
self.I = kwargs.get('I', None)
self.setWindowTitle('pyqtgraph example: FlowchartCustomNode')
## Create an empty flowchart with a single input and output
self.fc = Flowchart(terminals={
'dataIn': {
'io': 'in'
},
})
self.w = self.fc.widget()
self.WidgetLayout.addWidget(self.fc.widget())
self.plot1 = self.add2DPlot(self.ExperimentLayout)
self.plot2 = self.add2DPlot(self.ExperimentLayout)
self.curve1 = self.addCurve(self.plot1)
self.curve2 = self.addCurve(self.plot2)
self.curve1.setData([1, 2, 3], [5, 6, 7])
self.library = fclib.LIBRARY.copy() # start with the default node set
self.library.addNodeType(PlotViewNode, [('Display', )])
self.library.addNodeType(CaptureNode, [('Acquire', )])
self.fc.setLibrary(self.library)
## Now we will programmatically add nodes to define the function of the flowchart.
## Normally, the user will do this manually or by loading a pre-generated
## flowchart file.
self.cap = self.fc.createNode('Capture', pos=(0, 0))
self.cap.setI(self.I)
self.v1Node = self.fc.createNode('PlotView', pos=(0, -150))
self.v1Node.setView(self.curve1)
self.v2Node = self.fc.createNode('PlotView', pos=(150, -150))
self.v2Node.setView(self.curve2)
self.fc.connectTerminals(self.fc['dataIn'], self.cap['dataIn'])
self.fc.connectTerminals(self.cap['dataOut'], self.v1Node['data'])
#self.fc.connectTerminals(self.fc['dataIn'], self.v2Node['data'])
self.fc.setInput(dataIn=True)
def run(self):
self.fc.setInput(dataIn=True)
def __del__(self):
#self.looptimer.stop()
print('bye')
def closeEvent(self, event):
self.finished = True
def __init__(self, parent=None):
super(Demo, self).__init__()
self.setWindowTitle("Fourier Transformation")
self.showFullScreen()
self.layout = QtGui.QGridLayout()
self.setLayout(self.layout)
fc = Flowchart(terminals={
'dataIn': {
'io': 'in'
},
'dataOut': {
'io': 'out'
}
})
self.layout.addWidget(fc.widget(), 0, 0, 2, 1)
pw1 = pg.PlotWidget()
pw2 = pg.PlotWidget()
pw1.getPlotItem().setLabel('left', text='Amplitude')
pw1.getPlotItem().setLabel('bottom', text='Time')
pw2.getPlotItem().setLabel('left', text='Y(freq)')
pw2.getPlotItem().setLabel('bottom', text='F(Hz)')
self.layout.addWidget(pw1, 0, 1)
self.layout.addWidget(pw2, 1, 1)
sampling_rate = 150.0
sampling_interval = 1.0 / sampling_rate
# Abtastfrequenz f = (1/t)
time_vector = np.arange(0, 1, sampling_interval)
signal_frequency = 10
data = np.sin(2 * np.pi * signal_frequency * time_vector)
print data
fc.setInput(dataIn=data)
pw1Node = fc.createNode('PlotWidget', pos=(0, -150))
pw1Node.setPlot(pw1)
pw2Node = fc.createNode('PlotWidget', pos=(150, -150))
pw2Node.setPlot(pw2)
fNode = fc.createNode('AnalyzeNode', pos=(0, 0))
fc.connectTerminals(fc['dataIn'], fNode['dataIn'])
fc.connectTerminals(fc['dataIn'], pw1Node['In'])
fc.connectTerminals(fNode['dataOut'], pw2Node['In'])
fc.connectTerminals(fNode['dataOut'], fc['dataOut'])
def __init__(self, parent=None):
super(Demo, self).__init__()
self.setWindowTitle("Fourier Transformation")
self.showFullScreen()
self.layout = QtGui.QGridLayout()
self.setLayout(self.layout)
fc = Flowchart(terminals={
'dataIn': {'io': 'in'},
'dataOut': {'io': 'out'}
})
self.layout.addWidget(fc.widget(), 0, 0, 2, 1)
pw1 = pg.PlotWidget()
pw2 = pg.PlotWidget()
pw1.getPlotItem().setLabel('left', text='Amplitude')
pw1.getPlotItem().setLabel('bottom', text='Time')
pw2.getPlotItem().setLabel('left', text='Y(freq)')
pw2.getPlotItem().setLabel('bottom', text='F(Hz)')
self.layout.addWidget(pw1, 0, 1)
self.layout.addWidget(pw2, 1, 1)
sampling_rate = 150.0
sampling_interval = 1.0 / sampling_rate; # Abtastfrequenz f = (1/t)
time_vector = np.arange(0, 1, sampling_interval)
signal_frequency = 10
data = np.sin(2 * np.pi * signal_frequency * time_vector)
print data
fc.setInput(dataIn=data)
pw1Node = fc.createNode('PlotWidget', pos=(0, -150))
pw1Node.setPlot(pw1)
pw2Node = fc.createNode('PlotWidget', pos=(150, -150))
pw2Node.setPlot(pw2)
fNode = fc.createNode('AnalyzeNode', pos=(0, 0))
fc.connectTerminals(fc['dataIn'], fNode['dataIn'])
fc.connectTerminals(fc['dataIn'], pw1Node['In'])
fc.connectTerminals(fNode['dataOut'], pw2Node['In'])
fc.connectTerminals(fNode['dataOut'], fc['dataOut'])
def init_filters(self):
## Create flowchart, define input/output terminals
fc = Flowchart(terminals={
'dataIn': {
'io': 'in'
},
'dataOut': {
'io': 'out'
}
})
## Add flowchart control panel to the main window
self.filter_d.layout.addWidget(fc.widget(), 0, 0, 2, 1)
## Add two plot widgets
pw1 = pg.PlotWidget()
pw2 = pg.PlotWidget()
self.filter_d.layout.addWidget(pw1, 0, 1)
self.filter_d.layout.addWidget(pw2, 1, 1)
## generate signal data to pass through the flowchart
data = np.random.normal(size=1000)
data[200:300] += 1
data += np.sin(np.linspace(0, 100, 1000))
data = metaarray.MetaArray(data,
info=[{
'name':
'Time',
'values':
np.linspace(0, 1.0, len(data))
}, {}])
## Feed data into the input terminal of the flowchart
fc.setInput(dataIn=data)
## populate the flowchart with a basic set of processing nodes.
## (usually we let the user do this)
plotList = {'Top Plot': pw1, 'Bottom Plot': pw2}
pw1Node = fc.createNode('PlotWidget', pos=(0, -150))
pw1Node.setPlotList(plotList)
pw1Node.setPlot(pw1)
pw2Node = fc.createNode('PlotWidget', pos=(150, -150))
pw2Node.setPlot(pw2)
pw2Node.setPlotList(plotList)
fNode = fc.createNode('GaussianFilter', pos=(0, 0))
fNode.ctrls['sigma'].setValue(5)
fc.connectTerminals(fc['dataIn'], fNode['In'])
fc.connectTerminals(fc['dataIn'], pw1Node['In'])
fc.connectTerminals(fNode['Out'], pw2Node['In'])
fc.connectTerminals(fNode['Out'], fc['dataOut'])
def cli(dataset, flowchart):
app = QtGui.QApplication.instance(
) # retrieves the ipython qt application if any
if app is None:
app = QtGui.QApplication([]) # create one if standalone execution
fc = Flowchart(library=LIBRARY, terminals={'dataIn': {'io': 'in'}})
win = pyviViewerWindow(fc)
fc.setInput(dataIn=dataset)
if flowchart:
fc_state = configfile.readConfigFile(flowchart)
fc.restoreState(fc_state, clear=False)
fc.viewBox.autoRange()
import sys
if (sys.flags.interactive != 1) or not hasattr(QtCore, 'PYQT_VERSION'):
app.exec_()
app.deleteLater()
sys.exit()
layout.addWidget(v1, 0, 1)
layout.addWidget(v2, 1, 1)
win.show()
## generate random input data
data = np.random.normal(size=(100,100))
data = 25 * pg.gaussianFilter(data, (5,5))
data += np.random.normal(size=(100,100))
data[40:60, 40:60] += 15.0
data[30:50, 30:50] += 15.0
#data += np.sin(np.linspace(0, 100, 1000))
#data = metaarray.MetaArray(data, info=[{'name': 'Time', 'values': np.linspace(0, 1.0, len(data))}, {}])
## Set the raw data as the input value to the flowchart
fc.setInput(dataIn=data)
## At this point, we need some custom Node classes since those provided in the library
## are not sufficient. Each node will define a set of input/output terminals, a
## processing function, and optionally a control widget (to be displayed in the
## flowchart control panel)
class ImageViewNode(Node):
"""Node that displays image data in an ImageView widget"""
nodeName = 'ImageView'
def __init__(self, name):
self.view = None
## Initialize node with only a single input terminal
Node.__init__(self, name, terminals={'data': {'io':'in'}})
fc.connectTerminals(fc.dataIn, n1.A)
fc.connectTerminals(fc.dataIn, n1.B)
fc.connectTerminals(fc.dataIn, n2.A)
fc.connectTerminals(n1.Out, n4.A)
fc.connectTerminals(n1.Out, n2.B)
fc.connectTerminals(n2.Out, n3.In)
fc.connectTerminals(n3.Out, n4.B)
fc.connectTerminals(n4.Out, fc.dataOut)
def process(**kargs):
return fc.process(**kargs)
print process(dataIn=7)
fc.setInput(dataIn=3)
s = fc.saveState()
fc.clear()
fc.restoreState(s)
fc.setInput(dataIn=3)
#f.NodeMod.TETRACYCLINE = False
if sys.flags.interactive == 0:
app.exec_()
## and color control.
v1 = pg.ImageView()
v2 = pg.ImageView()
layout.addWidget(v1, 0, 1)
layout.addWidget(v2, 1, 1)
win.show()
import cv2
def loadcv(pth,mode=-1,shape=None):
im = cv2.imread(pth,mode)
if shape:
im = cv2.resize(im,shape)
return im
## Set the raw data as the input value to the flowchart
fc.setInput(dataIn=loadcv(r"/mnt/4E443F99443F82AF/Dropbox/PYTHON/RRtoolbox/tests/im1_3.png",mode=0,shape=(300,300)))
## At this point, we need some custom Node classes since those provided in the library
## are not sufficient. Each node will define a set of input/output terminals, a
## processing function, and optionally a control widget (to be displayed in the
## flowchart control panel)
class ImageViewNode(Node):
"""Node that displays image data in an ImageView widget"""
nodeName = 'ImageView'
def __init__(self, name):
self.view = None
## Initialize node with only a single input terminal
Node.__init__(self, name, terminals={'data': {'io':'in'}},allowAddInput=False,allowAddOutput=False,allowRemove=False)
class Demo(QtGui.QWidget):
def __init__(self, parent=None):
super(Demo, self).__init__()
self.setWindowTitle("Plotting the Wiimote")
self.showFullScreen()
self.layout = QtGui.QGridLayout()
self.setLayout(self.layout)
self.flowchart = Flowchart(terminals={
'xDataIn': {'io': 'in'},
'yDataIn': {'io': 'in'},
'zDataIn': {'io': 'in'},
'xDataOut': {'io': 'out'},
'yDataOut': {'io': 'out'},
'zDataOut': {'io': 'out'}
})
self.layout.addWidget(self.flowchart.widget(), 0, 0, 3, 1)
fclib.registerNodeType(WiimoteNode, [('Display',)])
self.wii_node = self.flowchart.createNode('Wiimote', pos=(0, 0))
self.axes = ['x', 'y', 'z']
# positions for all nodes; order:
# raw_node xpos, raw_node ypos, filtered_node xpos, filtered_node ypos,
# filter_node xpos, filter_node ypos
self.positions = {
'x': [-450, -350, -300, -350, -375, -150],
'y': [-150, -350, 0, -350, -75, -150],
'z': [150, -350, 300, -350, 225, -150],
}
# create, style, config and connect the elements for every axis
for axis in self.axes:
index = self.axes.index(axis)
plot_raw = pyqtgraph.PlotWidget()
plot_filtered = pyqtgraph.PlotWidget()
# add widget for this axis in next row
self.layout.addWidget(plot_filtered, index, 2, 1, 2)
self.configPlotItems(axis, plot_raw, plot_filtered)
self.createNodes(axis, plot_raw, plot_filtered)
self.connectNodes(axis)
pyqtgraph.setConfigOptions(antialias=True)
self.flowchart.setInput(xDataIn=0)
self.flowchart.setInput(yDataIn=0)
self.flowchart.setInput(zDataIn=0)
# create raw, filter and filtered node
def createNodes(self, axis, plot_raw, plot_filtered):
# create filtered node
self.plot_filtered_node = self.flowchart.createNode(
'PlotWidget', pos=(
self.positions[axis][2],
self.positions[axis][3]))
self.plot_filtered_node.setPlot(plot_filtered)
# create gaussian filter
self.filter_node = self.flowchart.createNode(
'GaussianFilter', pos=(
self.positions[axis][4],
self.positions[axis][5]))
self.filter_node.ctrls['sigma'].setValue(5)
# connect nodes: flowchart -> wiinode -> plot_raw + filter_node
# -> filtered_node
def connectNodes(self, axis):
self.flowchart.connectTerminals(
self.flowchart[axis + 'DataIn'], self.wii_node[axis + 'DataIn'])
self.flowchart.connectTerminals(
self.wii_node[axis + 'DataOut'], self.filter_node['In'])
self.flowchart.connectTerminals(
self.filter_node['Out'], self.plot_filtered_node['In'])
#self.flowchart.connectTerminals(
# self.filter_node['Out'], self.flowchart[axis + 'DataOut'])
# config plot items
def configPlotItems(self, axis, plot_raw, plot_filtered):
plot_raw.getPlotItem().setTitle("The " + axis + " Accelerometer")
plot_raw.getPlotItem().setMenuEnabled(False)
plot_raw.getPlotItem().setClipToView(False)
plot_raw.getPlotItem().hideAxis('bottom')
plot_raw.getPlotItem().showGrid(x=True, y=True, alpha=0.5)
plot_filtered.getPlotItem().setTitle(
"The " + axis + " Accelerometer - Filtered")
plot_filtered.getPlotItem().setMenuEnabled(False)
plot_filtered.getPlotItem().setClipToView(False)
plot_filtered.getPlotItem().hideAxis('bottom')
plot_filtered.getPlotItem().showGrid(x=True, y=True, alpha=0.5)
def updateValues(self, x, y, z):
self.flowchart.setInput(xDataIn=x)
self.flowchart.setInput(yDataIn=y)
self.flowchart.setInput(zDataIn=z)
pyqtgraph.QtGui.QApplication.processEvents()
def keyPressEvent(self, ev):
if ev.key() == QtCore.Qt.Key_Escape:
self.close()
class Demo(QtGui.QWidget):
def __init__(self, parent=None):
super(Demo, self).__init__()
self.setWindowTitle("Plotting the Wiimote")
self.showFullScreen()
self.layout = QtGui.QGridLayout()
self.setLayout(self.layout)
self.flowchart = Flowchart(
terminals={
'xDataIn': {
'io': 'in'
},
'yDataIn': {
'io': 'in'
},
'zDataIn': {
'io': 'in'
},
'xDataOut': {
'io': 'out'
},
'yDataOut': {
'io': 'out'
},
'zDataOut': {
'io': 'out'
}
})
self.layout.addWidget(self.flowchart.widget(), 0, 0, 3, 1)
fclib.registerNodeType(WiimoteNode, [('Display', )])
self.wii_node = self.flowchart.createNode('Wiimote', pos=(0, 0))
self.axes = ['x', 'y', 'z']
# positions for all nodes; order:
# raw_node xpos, raw_node ypos, filtered_node xpos, filtered_node ypos,
# filter_node xpos, filter_node ypos
self.positions = {
'x': [-450, -350, -300, -350, -375, -150],
'y': [-150, -350, 0, -350, -75, -150],
'z': [150, -350, 300, -350, 225, -150],
}
# create, style, config and connect the elements for every axis
for axis in self.axes:
index = self.axes.index(axis)
plot_raw = pyqtgraph.PlotWidget()
plot_filtered = pyqtgraph.PlotWidget()
# add widget for this axis in next row
self.layout.addWidget(plot_filtered, index, 2, 1, 2)
self.configPlotItems(axis, plot_raw, plot_filtered)
self.createNodes(axis, plot_raw, plot_filtered)
self.connectNodes(axis)
pyqtgraph.setConfigOptions(antialias=True)
self.flowchart.setInput(xDataIn=0)
self.flowchart.setInput(yDataIn=0)
self.flowchart.setInput(zDataIn=0)
# create raw, filter and filtered node
def createNodes(self, axis, plot_raw, plot_filtered):
# create filtered node
self.plot_filtered_node = self.flowchart.createNode(
'PlotWidget',
pos=(self.positions[axis][2], self.positions[axis][3]))
self.plot_filtered_node.setPlot(plot_filtered)
# create gaussian filter
self.filter_node = self.flowchart.createNode(
'GaussianFilter',
pos=(self.positions[axis][4], self.positions[axis][5]))
self.filter_node.ctrls['sigma'].setValue(5)
# connect nodes: flowchart -> wiinode -> plot_raw + filter_node
# -> filtered_node
def connectNodes(self, axis):
self.flowchart.connectTerminals(self.flowchart[axis + 'DataIn'],
self.wii_node[axis + 'DataIn'])
self.flowchart.connectTerminals(self.wii_node[axis + 'DataOut'],
self.filter_node['In'])
self.flowchart.connectTerminals(self.filter_node['Out'],
self.plot_filtered_node['In'])
#self.flowchart.connectTerminals(
# self.filter_node['Out'], self.flowchart[axis + 'DataOut'])
# config plot items
def configPlotItems(self, axis, plot_raw, plot_filtered):
plot_raw.getPlotItem().setTitle("The " + axis + " Accelerometer")
plot_raw.getPlotItem().setMenuEnabled(False)
plot_raw.getPlotItem().setClipToView(False)
plot_raw.getPlotItem().hideAxis('bottom')
plot_raw.getPlotItem().showGrid(x=True, y=True, alpha=0.5)
plot_filtered.getPlotItem().setTitle("The " + axis +
" Accelerometer - Filtered")
plot_filtered.getPlotItem().setMenuEnabled(False)
plot_filtered.getPlotItem().setClipToView(False)
plot_filtered.getPlotItem().hideAxis('bottom')
plot_filtered.getPlotItem().showGrid(x=True, y=True, alpha=0.5)
def updateValues(self, x, y, z):
self.flowchart.setInput(xDataIn=x)
self.flowchart.setInput(yDataIn=y)
self.flowchart.setInput(zDataIn=z)
pyqtgraph.QtGui.QApplication.processEvents()
def keyPressEvent(self, ev):
if ev.key() == QtCore.Qt.Key_Escape:
self.close()
pw2 = pg.PlotWidget()
layout.addWidget(pw1, 0, 1)
layout.addWidget(pw2, 1, 1)
win.show()
## generate signal data to pass through the flowchart
data = np.random.normal(size=1000)
data[200:300] += 1
data += np.sin(np.linspace(0, 100, 1000))
data2 = -data
data = metaarray.MetaArray(data, info=[{'name': 'Time', 'values': np.linspace(0, 1.0, len(data))}, {}])
data2 = metaarray.MetaArray(data2, info=[{'name': 'Time', 'values': np.linspace(0, 1.0, len(data2))}, {}])
## Feed data into the input terminal of the flowchart
fc.setInput(dataIn1=data)
data = np.random.normal(size=1000)
data[200:300] += 1
data += np.sin(np.linspace(0, 100, 1000))
data2 = -data
data = metaarray.MetaArray(data, info=[{'name': 'Time', 'values': np.linspace(0, 1.0, len(data))}, {}])
data2 = metaarray.MetaArray(data2, info=[{'name': 'Time', 'values': np.linspace(0, 1.0, len(data2))}, {}])
fc.setInput(dataIn2=data)
data = np.random.normal(size=1000)
data[200:300] += 1
data += np.sin(np.linspace(0, 100, 1000))
data2 = -data
data = metaarray.MetaArray(data, info=[{'name': 'Time', 'values': np.linspace(0, 1.0, len(data))}, {}])
data2 = metaarray.MetaArray(data2, info=[{'name': 'Time', 'values': np.linspace(0, 1.0, len(data2))}, {}])
class FlowchartCalibrateWindow:
def __init__(self):
"""
Flowchart inside new window for system calibration
"""
# Graphics window
self.win = QtGui.QMainWindow()
self.win.setWindowTitle('System Calibration Flowchart')
# Dock Area
dockArea = DockArea()
# Central widget
self.win.setCentralWidget(dockArea)
# Window Docks
fcWidgetDock = Dock('Flowchart Widget', size=(1, 1), hideTitle=True)
displayDock = Dock('Measurement and Calibration', size=(1, 1))
plotDocks = [Dock('Plot {}'.format(i), size=(1, 1)) for i in range(4)]
dockArea.addDock(fcWidgetDock, 'left')
dockArea.addDock(displayDock, 'right', fcWidgetDock)
dockArea.addDock(plotDocks[0], 'top', displayDock)
dockArea.addDock(plotDocks[1], 'right', plotDocks[0])
dockArea.addDock(plotDocks[2], 'top', displayDock)
dockArea.addDock(plotDocks[3], 'right', plotDocks[2])
# Window size
self.win.resize(800, 600)
# Flowchart
self.fc = Flowchart(terminals={
'dipImgIn': {
'io': 'in'
},
'CalibConstOut': {
'io': 'out'
},
})
# row, column, rowspan, colspan
fcWidgetDock.addWidget(self.fc.widget())
# Plot widgets
self.plt_widg = [FlowchartPlotWidget() for _ in range(len(plotDocks))]
[
plotDocks[i].addWidget(self.plt_widg[i])
for i in range(len(plotDocks))
]
# Graphics layout for displays
displayLayout = pg.GraphicsLayoutWidget(border='w')
displayDock.addWidget(displayLayout)
# Display widgets
self.disp_widg = []
self.disp_widg.append(
displayLayout.addLabel('', colspan=2, justify='left'))
displayLayout.nextRow()
self.disp_widg.append(
displayLayout.addLabel('', colspan=2, justify='left'))
# Flowchart library copy - custom nodes available to user
self.fc_library = fclib.LIBRARY.copy()
[
self.fc_library.addNodeType(nd, [('dipImage', 'Display')])
for nd in (FlowchartPlotNode, MeasurementDisplayNode,
CalibDisplayNode, ORingMeasurementDisplayNode)
]
# Filter nodes
[
self.fc_library.addNodeType(nd, [('dipImage', 'Filters')])
for nd in (GaussianConvolutionNode, GradientNode,
GradientMagnitudeNode, GradientDirectionNode,
EdgeObjectsRemoveNode, KuwaharaNode,
BilateralFilterNode)
]
# Binary Filter nodes
[
self.fc_library.addNodeType(nd, [('dipImage', 'Binary')])
for nd in (BinaryClosingNode, BinaryOpeningNode, BinaryErosionNode,
BinaryDilationNode, BinaryAreaClosingNode,
BinaryAreaOpeningNode, BinaryPropagationNode,
FillHolesNode)
]
# Segmentation nodes
[
self.fc_library.addNodeType(nd, [('dipImage', 'Segmentation')])
for nd in (ThresholdNode, RangeThresholdNode, MinimaNode,
MaximaNode, WatershedNode, SeededWatershedNode,
CannyNode, SegmentORingNode)
]
# Morphological nodes
[
self.fc_library.addNodeType(nd, [('dipImage', 'Morphological')])
for nd in (DilationNode, ErosionNode, OpeningNode, ClosingNode)
]
# Image nodes
[
self.fc_library.addNodeType(nd, [('dipImage', 'Image')])
for nd in (ConvertNode, FillNode, LabelNode, SetPixelSizeNode)
]
# Arithmetics nodes
[
self.fc_library.addNodeType(nd, [('dipImage', 'Arithmetics')])
for nd in (InvertNode, ApplyMaskNode, CreateMaskNode,
OperatorPlusNode)
]
# Measurement nodes
[
self.fc_library.addNodeType(nd, [('dipImage', 'Measurement')])
for nd in (MeasureNode, WorkingDistanceCorrectionNode,
CombineMeasurementNode)
]
self.fc.setLibrary(self.fc_library)
# Plot nodes and Widget connection
plt_nodes_x = (-20 + x * 120 for x in range(len(self.plt_widg)))
plt_nodes = [
self.fc.createNode('FlowchartPlot', pos=(x, -60))
for x in plt_nodes_x
]
[
nd.set_fcPlotWidget(widg)
for nd, widg in zip(plt_nodes, self.plt_widg)
]
# Connecting plot and display widgets with nodes
self.fc.sigFileLoaded.connect(self.setFlowchartPlotWidgets)
self.fc.sigFileLoaded.connect(self.setDisplayWidgets)
self.fc.sigChartChanged.connect(self.setFlowchartPlotWidgets)
self.fc.sigChartChanged.connect(self.setDisplayWidgets)
def setFlowchartPlotWidgets(self):
"""
Connect Flowchart plot widgets with nodes after loading fc file
"""
nd_list = []
for name, node in self.fc.nodes().items():
if isinstance(node, FlowchartPlotNode):
nd_list.append(node)
[nd.set_fcPlotWidget(widg) for nd, widg in zip(nd_list, self.plt_widg)]
def setDisplayWidgets(self):
"""
Connect Display widgets with nodes
"""
for name, node in self.fc.nodes().items():
if isinstance(node, MeasurementDisplayNode):
node.setDisplayWidget(self.disp_widg[0])
if isinstance(node, CalibDisplayNode):
node.setDisplayWidget(self.disp_widg[1])
def setInput(self, dip_img):
"""
Set Flowchart input
"""
self.fc.setInput(dipImgIn=dip_img)
def fc_process(self, dip_img):
"""
Process data with display=False (speed increase)
"""
return self.fc.process(dipImgIn=dip_img)['CalibConstOut']
def output(self):
"""
Process data through flowchart with display=True and return output
"""
return self.fc.output()['CalibConstOut']
def show(self):
self.win.show()
def close(self):
self.win.hide()
data[200:300] += 1
data += np.sin(np.linspace(0, 100, 1000))
data2 = -data
data = metaarray.MetaArray(data,
info=[{
'name': 'Time',
'values': np.linspace(0, 1.0, len(data))
}, {}])
data2 = metaarray.MetaArray(data2,
info=[{
'name': 'Time',
'values': np.linspace(0, 1.0, len(data2))
}, {}])
## Feed data into the input terminal of the flowchart
fc.setInput(dataIn1=data)
data = np.random.normal(size=1000)
data[200:300] += 1
data += np.sin(np.linspace(0, 100, 1000))
data2 = -data
data = metaarray.MetaArray(data,
info=[{
'name': 'Time',
'values': np.linspace(0, 1.0, len(data))
}, {}])
data2 = metaarray.MetaArray(data2,
info=[{
'name': 'Time',
'values': np.linspace(0, 1.0, len(data2))
}, {}])
def autoplot(makeUI: bool = True,
log: bool = False,
inputData: Union[None, DataDictBase] = None):
"""
Sets up a simple flowchart consisting of a data selector,
an xy-axes selector, and creates a GUI together with an autoplot
widget.
returns the flowchart object and the dialog widget
"""
nodelib = fclib.NodeLibrary()
nodelib.addNodeType(DataSelector, [('Basic')])
nodelib.addNodeType(DataGridder, [('Basic')])
nodelib.addNodeType(XYAxesSelector, [('Basic')])
nodelib.addNodeType(PlotNode, [('Plot')])
fc = Flowchart(terminals={
'dataIn': {
'io': 'in'
},
'dataOut': {
'io': 'out'
}
})
fc.library = nodelib
datasel = fc.createNode('DataSelector')
grid = fc.createNode('Gridder')
xysel = fc.createNode('XYAxesSelector')
plot = fc.createNode('Plot')
fc.connectTerminals(fc['dataIn'], datasel['dataIn'])
fc.connectTerminals(datasel['dataOut'], grid['dataIn'])
fc.connectTerminals(grid['dataOut'], xysel['dataIn'])
fc.connectTerminals(xysel['dataOut'], fc['dataOut'])
fc.connectTerminals(xysel['dataOut'], plot['dataIn'])
# Setting up the GUI window
area = DockArea()
layout = QtGui.QVBoxLayout()
layout.addWidget(area)
win = QtGui.QDialog()
win.setLayout(layout)
win.setWindowTitle('Plottr | Autoplot')
# data selector
dataselDock = Dock('Data Selector', size=(250, 100))
dataselDock.addWidget(datasel.ui)
area.addDock(dataselDock)
# grid
gridDock = Dock('Grid', size=(250, 80))
gridDock.addWidget(grid.ui)
area.addDock(gridDock, 'bottom')
# xy selector
xyselDock = Dock('XY Axes Selector', size=(250, 100))
xyselDock.addWidget(xysel.ui)
area.addDock(xyselDock, 'bottom')
# log
if log:
logDock = Dock('Log', size=(250, 100))
logDock.addWidget(plottrlog.setupLogging(makeDialog=False))
area.addDock(logDock, 'bottom', xyselDock)
# plot widget
plotWidget = AutoPlot()
plot.setPlotWidget(plotWidget)
plotDock = Dock('Plot', size=(500, 300))
plotDock.addWidget(plotWidget)
area.addDock(plotDock, 'right')
win.show()
if inputData is not None:
fc.setInput(dataIn=inputData)
return fc, win
class ModelWindow(QtWidgets.QMainWindow, Ui_ModelWindow): #模型界面对应的类
def __init__(self):
super(ModelWindow, self).__init__()
self.setupUi(self)
self.global_id = 0 #每个层对应的唯一ID，用于基于DAG图的校验和代码生成
self.nodes = dict() #所有层的信息
self.id_name = dict() #ID-名字映射
self.name_id = dict() #名字-ID映射
self.net = nx.DiGraph() #图，节点为层的ID
self.library = fclib.LIBRARY.copy()
self.library.addNodeType(CovNode, [('CovNode', )])
self.library.addNodeType(PoolNode, [('PoolNode', )])
self.library.addNodeType(LinearNode, [('LinearNode', )])
self.library.addNodeType(ConcatNode, [('ConcatNode', )])
self.library.addNodeType(Concat1dNode, [('Concat1dNode', )])
self.library.addNodeType(SoftmaxNode, [('SoftmaxNode', )])
self.library.addNodeType(LogSoftmaxNode, [('LogSoftmaxNode', )])
self.library.addNodeType(BachNorm1dNode, [('BachNorm1dNode', )])
self.library.addNodeType(BachNorm2dNode, [('BachNorm2dNode', )])
self.library.addNodeType(AddNode, [('ResAddNode', )])
self.library.addNodeType(IdentityNode, [('IdentityNode', )])
self.type_name = {
2: 'Cov2d',
3: 'Pool2d',
4: 'Linear',
5: 'Softmax',
6: 'LogSoftmax',
7: 'BachNorm1d',
8: 'BachNorm2d',
9: 'Res_Add',
10: 'Concat2d',
11: 'Concat1d',
12: 'Identity'
}
self.fc = Flowchart() #模型可视化的流程图，对应FlowChart按钮
self.fc.setLibrary(self.library) #引入FCNodes.py中定义的Node
self.outputs = list() #模型所有输出
w = self.fc.widget()
self.fc_inputs = dict() #self.fc流程图的输入
main_widget = QWidget()
main_layout = QGridLayout()
main_widget.setLayout(main_layout)
self.detail = QTreeWidget()
self.detail.setColumnCount(2)
self.detail.setHeaderLabels(["属性", "值"])
self.root = QTreeWidgetItem(self.detail)
self.root.setText(0, "所有属性")
main_layout.addWidget(self.fc.widget(), 0, 0, 1, 2)
main_layout.addWidget(self.detail, 0, 2)
self.setCentralWidget(main_widget)
def add_layer(self): #用于弹出“层-新建”动作对应的层操作界面
self.addlayer_window = AddLayerWindow()
self.addlayer_window.datasignal.connect(self.accept_layer)
self.addlayer_window.show()
def modifiey_layer(self): #用于弹出“层-更改”动作对应的层操作界面
self.addlayer_window = AddLayerWindow()
self.addlayer_window.datasignal.connect(self.accept_layer)
self.addlayer_window.layertype.addItem("恒等层(Identity)")
self.addlayer_window.show()
def clear(self): #对应“层-清除”，清除当前模型
self.fc.clear()
self.id_name = dict()
self.name_id = dict()
self.nodes = dict()
self.net = nx.DiGraph()
self.fc.clear()
self.fc_inputs = dict()
self.global_id = 0
self.outputs = list()
self.detail.clear()
self.detail.setColumnCount(2)
self.detail.setHeaderLabels(["属性", "值"])
self.root = QTreeWidgetItem(self.detail)
self.root.setText(0, "所有属性")
def to_train(self): #对应“功能-训练”动作，跳转到训练界面
self.train_window = TrainWindow()
self.train_window.show()
def to_test(self): #对应“功能-测试”动作，跳转到测试界面
self.test_window = TestWindow()
self.test_window.show()
def accept_layer(self, data): #接收层操作界面中信号的槽函数，接收层操作界面传来的数据并显示在该界面上
reset_flag = False
if not data['type'] in [1, 12]: #对输入层和恒等层不检查输入
inputs = data['input'].split(";")
data['input'] = list()
for i in range(len(inputs)): #判断连接是否合法
try:
name = inputs[i]
layer = self.name_id[name]
if data['type'] == 3 and (self.nodes[inputs[i]]['type']
not in [2, 8, 9, 10]):
QMessageBox.warning(self, "错误",
"输入：{}层类型不合法".format(inputs[i]))
return 0
elif (data['type'] in [
5, 6, 7, 11
]) and (self.nodes[inputs[i]]['type'] not in [4, 7, 11]):
QMessageBox.warning(self, "错误",
"输入：{}层类型不合法".format(inputs[i]))
return 0
elif (data['type']
in [2, 8, 10]) and (self.nodes[inputs[i]]['type']
not in [1, 2, 3, 8, 9, 10]):
QMessageBox.warning(self, "错误",
"输入：{}层类型不合法".format(inputs[i]))
return 0
data['input'].append(layer) #将input中的层名替换为对应的ID
except:
QMessageBox.warning(self, "错误",
"输入来自未生成的层：{}".format(inputs[i]))
return 0
else:
data['input'] = list()
if data['type'] == 9: #残差连接层判断两个输入size是否相同
layer_id = data['input'][0]
cur_size = self.nodes[self.id_name[layer_id]]['para']['out_size']
for layer_id in data['input']:
layer = self.nodes[self.id_name[layer_id]]
if layer['para']['out_size'] != cur_size:
QMessageBox.warning(self, "错误", "输入尺寸不匹配")
return 0
if data['name'] in self.name_id.keys(): #替换同名层的情形
id = self.name_id[data['name']]
for input_id in data['input']:
if input_id >= id:
QMessageBox.warning(self, "错误", "输入来自后继层")
return 0
if data['type'] == 12:
data['para']['former_type'] = self.nodes[data['name']]['type']
if len(data['input']) == 0:
data['input'].append(self.nodes[data['name']]['input'][0])
self.net.remove_node(id)
self.net.add_node(id)
for i in data['input']:
self.net.add_edge(i, id)
self.fc.removeNode(self.fc.nodes()[data['name']])
data['ID'] = id
reset_flag = True
else: #新建层
data['ID'] = self.global_id
self.name_id[data['name']] = self.global_id
self.id_name[self.global_id] = data['name']
self.net.add_node(self.global_id)
for i in data['input']:
self.net.add_edge(i, self.global_id)
self.global_id += 1
self.nodes[data['name']] = data
if data['type'] == 1: #输入层对应的流程图操作
self.fc.addInput(data['name'])
self.fc_inputs[data['name']] = data['para']['out_size']
self.fc.setInput(**self.fc_inputs)
elif data['type'] in [9, 10, 11]: #concat2D、concat1D和残差连接层的流程图操作
node = self.fc.createNode(
self.type_name[data['type']],
name=data['name'],
pos=(data['input'][0] * 120,
(data['ID'] - data['input'][0]) * 150 - 500))
node.setPara(data['para'])
node.setView(self.root)
for i in data['input']:
in_name = self.id_name[i]
in_size = self.nodes[in_name]['para']['out_size']
node.addInput(in_name)
if self.nodes[in_name]['type'] == 1:
self.fc.connectTerminals(self.fc[in_name], node[in_name])
else:
self.fc.connectTerminals(
self.fc.nodes()[in_name]['dataOut'], node[in_name])
if data['isoutput']:
self.fc.addOutput(data['name'])
self.fc.connectTerminals(node['dataOut'],
self.fc[data['name']])
else: #其他层的流程图操作
node = self.fc.createNode(
self.type_name[data['type']],
name=data['name'],
pos=(data['input'][0] * 120,
(data['ID'] - data['input'][0]) * 150 - 500))
node.setPara(data['para'])
node.setView(self.root)
if self.nodes[self.id_name[data['input'][0]]]['type'] == 1:
self.fc.connectTerminals(
self.fc[self.id_name[data['input'][0]]], node['dataIn'])
else:
self.fc.connectTerminals(
self.fc.nodes()[self.id_name[data['input'][0]]]['dataOut'],
node['dataIn'])
if data['isoutput']:
self.fc.addOutput(data['name'])
self.fc.connectTerminals(node['dataOut'],
self.fc[data['name']])
if data['isoutput']: #添加流程图输出
self.outputs.append(data['ID'])
if reset_flag: #对替换的层恢复后向的连接
for everynode in self.nodes.values():
if data['ID'] in everynode['input']:
out_terminal = node.outputs()['dataOut']
if everynode['type'] in [9, 10, 11]:
in_terminal = self.fc.nodes()[
everynode['name']].inputs()[data['name']]
else:
in_terminal = self.fc.nodes()[
everynode['name']].inputs()['dataIn']
self.fc.connectTerminals(in_terminal, out_terminal)
self.net.add_edge(data['ID'], everynode['ID'])
def export_file(self): #导出pytorch脚本
filename, _ = QFileDialog.getSaveFileName(self, '导出模型', 'C:\\',
'Python Files (*.py)')
if filename is None or filename == "":
return 0
filedir, filename_text = os.path.split(filename)
filename_text = filename_text.split(".")[0]
if self.check() == 0:
QMessageBox.warning(self, "错误", "出现size<=0或模型没有输出")
return 0
sort = list(nx.topological_sort(self.net))
content = list()
for id in sort:
content.append(self.nodes[self.id_name[id]])
with open(filedir + '/' + filename_text + ".json", 'w') as f1:
json.dump(content, f1)
with open(filename, 'w') as f:
space = " "
f.write(
'import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\n'
)
f.write("class Net(nn.Module):\n")
f.write(space + "def __init__(self):\n")
f.write(space * 2 +
"super(Net, self).__init__()\n") #一下为__init__函数
for id in sort:
name = self.id_name[id]
layer = self.nodes[name]
if layer['type'] == 2:
f.write(space * 2 + "self." + layer['name'] +
" = nn.Conv2d(")
f.write(str(layer['para']['in_size'][0])+","+str(layer['para']['outchannels'])+","\
+str(layer['para']['kernel']))
for k, v in layer['para'].items():
if k in [
'stride', 'padding', 'dilation', 'bias',
'padding_mode'
] and v is not None:
f.write("," + k + "=" + str(v))
f.write(")\n")
elif layer['type'] == 12:
f.write(space * 2 +
"self.{} = nn.Identity()\n".format(name))
elif layer['type'] == 3:
if layer['para']['type'] == "max":
f.write(space * 2 + "self." + layer['name'] +
" = nn.MaxPool2d(")
f.write(str(layer['para']['kernel']))
for k, v in layer['para'].items():
if k in ['stride', 'padding'] and v is not None:
f.write("," + k + "=" + str(v))
elif layer['para']['type'] == "average":
f.write(space * 2 + "self." + layer['name'] +
" = nn.AvgPool2d(")
f.write(str(layer['para']['kernel']))
for k, v in layer['para'].items():
if k in ['stride', 'padding'] and v is not None:
f.write("," + k + "=" + str(v))
else:
f.write(space * 2 + "self." + layer['name'] +
" = nn.LPPool2d(")
f.write(str(layer['para']['power']) + ",")
f.write(str(layer['para']['kernel']))
for k, v in layer['para'].items():
if k == 'stride' and v is not None:
f.write("," + k + "=" + str(v))
f.write(")\n")
elif layer['type'] == 4:
f.write(space * 2 + "self." + layer['name'] +
" = nn.Linear(")
f.write(str(layer['para']['in_size']) + ",")
f.write(str(layer['para']['out_features']) + ",")
f.write("bias=" + str(layer['para']['bias']))
f.write(")\n")
elif layer['type'] == 7:
f.write(space * 2 + "self." + layer['name'] +
" = nn.BatchNorm1d(")
f.write(str(layer['para']['in_size']) + ",")
f.write("eps=" + str(layer['para']['eps']) + ",")
f.write("momentum=" + str(layer['para']['momentum']) + ",")
f.write("affine=" + str(layer['para']['affine']) + ",")
f.write("track_running_stats=" +
str(layer['para']['track_running_stats']) + ")\n")
elif layer['type'] == 8:
f.write(space * 2 + "self." + layer['name'] +
" = nn.BatchNorm2d(")
f.write(str(layer['para']['in_size'][0]) + ",")
f.write("eps=" + str(layer['para']['eps']) + ",")
f.write("momentum=" + str(layer['para']['momentum']) + ",")
f.write("affine=" + str(layer['para']['affine']) + ",")
f.write("track_running_stats=" +
str(layer['para']['track_running_stats']) + ")\n")
#以下为forward函数
f.write(space + "def forward(self")
for input in self.fc_inputs.keys():
f.write("," + input)
f.write("):\n")
return_layers = list()
for layer_id in sort:
layer = self.nodes[self.id_name[layer_id]]
if layer['type'] == 2 or layer['type'] == 4:
f.write(space * 2 + layer['name'] + " = ")
if layer['type'] == 4:
input_name = self.id_name[layer['input'][0]]
inner_str = "self.{0}({1}.view({1}.size()[0], -1))".format(
layer['name'], input_name)
else:
inner_str = "self." + layer[
'name'] + "(" + self.id_name[layer['input']
[0]] + ")"
if layer['para']['activate'] != "None":
if layer['para']['activate'] in ['tanh', 'sigmoid']:
tmp = "torch." + layer['para'][
'activate'] + "({})".format(inner_str)
else:
tmp = "F." + layer['para'][
'activate'] + "({})".format(inner_str)
inner_str = tmp
if layer['para']['dropout']:
tmp = "F.dropout({}, p=".format(inner_str) + str(
layer['para']['dropout_radio']) + ")"
inner_str = tmp
f.write(inner_str)
f.write("\n")
elif layer['type'] in [3, 7, 8]:
f.write(
space * 2 + layer['name'] + " = self.{}({})\n".format(
layer['name'], self.id_name[layer['input'][0]]))
elif layer['type'] == 5:
f.write(space * 2 + layer['name'] +
" = F.softmax({}, dim=1)\n".format(self.id_name[
layer['input'][0]]))
elif layer['type'] == 6:
f.write(space * 2 + layer['name'] +
" = F.log_softmax({}, dim=1)\n".format(
self.id_name[layer['input'][0]]))
elif layer['type'] == 9:
f.write(space * 2 + layer['name'] + " = ")
for i in range(len(layer['input']) - 1):
f.write(self.id_name[layer['input'][i]] + "+")
f.write(self.id_name[layer['input'][len(layer['input']) -
1]] + "\n")
elif layer['type'] == 10:
layers_to_cat = list()
for input_id in layer['input']:
input_name = self.id_name[input_id]
input_layer = self.nodes[input_name]
layers_to_cat.append(input_name)
pad_up, pad_down, pad_left, pad_right = 0, 0, 0, 0
if input_layer['para']['out_size'][1] != layer['para'][
'out_size'][1]:
rest = (layer['para']['out_size'][1] -
input_layer['para']['out_size'][1]) / 2
if rest != int(rest):
pad_up, pad_down = int(rest), int(rest) + 1
else:
pad_up, pad_down = int(rest), int(rest)
if input_layer['para']['out_size'][2] != layer['para'][
'out_size'][2]:
rest = (layer['para']['out_size'][2] -
input_layer['para']['out_size'][2]) / 2
if rest != int(rest):
pad_left, pad_right = int(rest), int(rest) + 1
else:
pad_left, pad_right = int(rest), int(rest)
pad = (pad_left, pad_right, pad_up, pad_down)
f.write(space*2+input_name+" = F.pad({}, ({}, {}, {}, {}))\n".format(input_name,\
pad_left, pad_right, pad_up, pad_down))
f.write(space * 2 + layer['name'] +
" = torch.cat([{}], 1)\n".format(",".join(
layers_to_cat)))
elif layer['type'] == 11:
layers_to_cat = list()
for input_id in layer['input']:
input_name = self.id_name[input_id]
layers_to_cat.append(input_name)
f.write(space * 2 + layer['name'] +
" = torch.cat([{}], 1)\n".format(",".join(
layers_to_cat)))
elif layer['type'] == 12:
f.write(
space * 2 + layer['name'] + " = self.{}({})\n".format(
layer['name'], self.id_name[layer['input'][0]]))
if layer['isoutput']:
return_layers.append(layer['name'])
if len(return_layers) > 1:
f.write(space * 2 +
"return {}\n".format(",".join(return_layers)))
else:
f.write(space * 2 + "return {}".format(return_layers[0]))
def check(self): #基于DAG的校验
if len(self.outputs) == 0:
QMessageBox.warning(self, "错误", "模型没有输出")
return 0
for item in self.nodes.values():
if type(item['para']['out_size']) is int:
if item['para']['out_size'] <= 0:
QMessageBox.warning(self, "错误",
"{}层输出尺寸为负数或0".format(item['name']))
return 0
else:
for size in item['para']['out_size']:
if size <= 0:
QMessageBox.warning(
self, "错误", "{}层输出尺寸为负数或0".format(item['name']))
return 0
def import_file(self): #导入json文件重建模型
filename, _ = QFileDialog.getOpenFileName(self, '导入模型', 'C:\\',
'JSON Files (*.json)')
if filename is None or filename == "":
return 0
d_json = json.load(open(filename, 'r'))
self.id_name = dict()
self.name_id = dict()
self.nodes = dict()
self.net = nx.DiGraph()
self.fc.clear()
self.fc_inputs = dict()
self.global_id = 0
self.outputs = list()
self.detail.clear()
self.detail.setColumnCount(2)
self.detail.setHeaderLabels(["属性", "值"])
self.root = QTreeWidgetItem(self.detail)
self.root.setText(0, "所有属性")
for data in d_json:
self.id_name[data['ID']] = data['name']
self.name_id[data['name']] = data['ID']
self.nodes[data['name']] = data
self.net.add_node(data['ID'])
for i in data['input']:
self.net.add_edge(i, data['ID'])
if data['type'] == 1:
if not data['name'] in self.fc.inputs().keys():
self.fc.addInput(data['name'])
self.fc_inputs[data['name']] = data['para']['out_size']
self.fc.setInput(**self.fc_inputs)
elif data['type'] in [9, 10, 11]:
node = self.fc.createNode(
self.type_name[data['type']],
name=data['name'],
pos=(data['input'][0] * 120,
(data['ID'] - data['input'][0]) * 150 - 500))
node.setPara(data['para'])
node.setView(self.root)
for i in data['input']:
in_name = self.id_name[i]
in_size = self.nodes[in_name]['para']['out_size']
node.addInput(in_name)
if self.nodes[in_name]['type'] == 1:
self.fc.connectTerminals(self.fc[in_name],
node[in_name])
else:
self.fc.connectTerminals(
self.fc.nodes()[in_name]['dataOut'], node[in_name])
if data['isoutput']:
if not data['name'] in self.fc.outputs().keys():
self.fc.addOutput(data['name'])
self.fc.connectTerminals(node['dataOut'],
self.fc[data['name']])
else:
node = self.fc.createNode(
self.type_name[data['type']],
name=data['name'],
pos=(data['input'][0] * 120,
(data['ID'] - data['input'][0]) * 150 - 500))
node.setPara(data['para'])
node.setView(self.root)
if self.nodes[self.id_name[data['input'][0]]]['type'] == 1:
self.fc.connectTerminals(
self.fc[self.id_name[data['input'][0]]],
node['dataIn'])
else:
self.fc.connectTerminals(
self.fc.nodes()[self.id_name[data['input'][0]]]
['dataOut'], node['dataIn'])
if data['isoutput']:
if not data['name'] in self.fc.outputs().keys():
self.fc.addOutput(data['name'])
self.fc.connectTerminals(node['dataOut'],
self.fc[data['name']])
if data['isoutput']:
self.outputs.append(data['ID'])
class AppWindow(QtGui.QMainWindow, hackYourOwn.Ui_MainWindow, utilitiesClass):
def __init__(self, parent=None, **kwargs):
super(AppWindow, self).__init__(parent)
self.setupUi(self)
print(self.utils)
self.I = kwargs.get('I', None)
self.I.set_sine1(5000)
self.I.configure_trigger(0, 'CH1', 0)
self.setWindowTitle('pyqtgraph example: FlowchartCustomNode')
## Create an empty flowchart with a single input and output
self.fc = Flowchart(terminals={
'In': {
'io': 'in'
},
'dataOut': {
'io': 'out'
},
})
self.w = self.fc.widget()
self.ExperimentLayout.addWidget(self.w.chartWidget.view)
#self.WidgetLayout.addWidget(self.w.chartWidget.selInfo)
###############MODIFY INPUT NODE#############################
self.inp = addWidget(
self.fc.inputNode.graphicsItem(),
'input',
func=self.fc.setInput,
nameFunc=self.fc.inputNode.graphicsItem().nameItem.setPlainText)
############### CREATE USER LIBRARY #############################
self.library = fclib.LIBRARY.copy() # start with the default node set
#add our custom nodes to the library
self.library.addNodeType(self.PlotViewNode, [('Display', )])
for a in [
self.CaptureNode1, self.CaptureNode2, self.DACNode,
self.VoltNode, self.GainNode
]:
a.I = self.I
self.library.addNodeType(self.ArrayNode, [('Data', )])
self.library.addNodeType(self.ArrayNode2D, [('Data', )])
self.library.addNodeType(self.CaptureNode1, [('Acquire', )])
self.library.addNodeType(self.CaptureNode2, [('Acquire', )])
self.library.addNodeType(self.VoltNode, [('Acquire', )])
self.library.addNodeType(self.DACNode, [('Outputs', )])
self.library.addNodeType(self.MyEvalNode, [('Outputs', )])
self.library.addNodeType(self.GainNode, [('Configure', )])
self.library.addNodeType(self.ConstantNode, [('Configure', )])
self.fc.setLibrary(self.library)
############# LIBRARY HAS BEEN POPULATED. NOW BUILD THE MENU ###############
self.menu = self.buildMenu(self.w.chartWidget)
self.menu.setMinimumHeight(150)
self.WidgetLayout.addWidget(self.menu)
self.WidgetLayout.addWidget(self.w)
self.w.ui.showChartBtn.setParent(None)
self.w.ui.reloadBtn.setParent(None)
############# NEXT UP : add ui elements ###############
self.plot = self.add2DPlot(self.ExperimentLayout)
self.plot.addLegend()
self.PlotViewNode.plot = self.plot
## Now we will programmatically add nodes to define the function of the flowchart.
## Normally, the user will do this manually or by loading a pre-generated
## flowchart file.
self.cap = self.fc.createNode('Capture1', pos=(0, 0))
self.v1Node = self.fc.createNode('2D Curve', pos=(200, -70))
self.v2Node = self.fc.createNode('2D Curve', pos=(200, 70))
self.fc.connectTerminals(self.fc['In'], self.cap['In'])
self.fc.connectTerminals(self.cap['time'], self.v1Node['X'])
self.fc.connectTerminals(self.cap['voltage'], self.v1Node['Y'])
self.setStyleSheet("")
def setInterconnects(self, val):
if val: shape = 'cubic'
else: shape = 'line'
for a in self.fc.listConnections():
for x in a[1]._graphicsItem.getViewBox().allChildren():
if isinstance(x, pg.flowchart.TerminalGraphicsItem):
for y in x.term.connections().items():
y[1].setStyle(shape=shape)
def runOnce(self):
self.fc.setInput(In=True)
def buildMenu(self, CW):
def buildSubMenu(node, rootMenu, subMenus):
for section, node in node.items():
menu = QtGui.QMenu(section)
rootMenu.addMenu(menu)
if isinstance(node, OrderedDict):
buildSubMenu(node, menu, subMenus)
subMenus.append(menu)
else:
act = rootMenu.addAction(section)
act.nodeType = section
act.pos = None
class PermanentMenu(QtGui.QMenu):
def hideEvent(self, event):
self.show()
menu = PermanentMenu()
self.subMenus = []
buildSubMenu(CW.chart.library.getNodeTree(), menu, self.subMenus)
menu.triggered.connect(CW.nodeMenuTriggered)
CW.menuPos = QtCore.QPoint(100, 150)
return menu
#self.v3Node = self.fc.createNode('PlotView', pos=(300, -150))
#self.v3Node.setView(self.curve1)
#self.fc.connectTerminals(self.cap['dataOut'], self.v1Node['data'])
def __del__(self):
#self.looptimer.stop()
print('bye')
def closeEvent(self, event):
self.finished = True
self.fc._widget.chartWidget.close()
################################################################################################
#######################--------Display Function calls start here------------####################
################################################################################################
class PlotViewNode(Node, utilitiesClass):
"""Node that displays plot data in an Plotwidget"""
nodeName = '2D Curve'
def __init__(self, name):
self.view = None
Node.__init__(self,
name,
terminals=OrderedDict([('X', dict(io='in')),
('Y', dict(io='in')),
('dY',
dict(io='in',
optional=True))]))
self.txt = addWidget(self.graphicsItem(), 'plotText')
self.curveName = self._name
self.curve = self.addCurve(
self.plot, self.curveName
) #self.plot is set by the parent prior to initialization
self.txt.curve = self.curve
self.sigRenamed.connect(self.renamed)
def renamed(self, node, oldName):
print('renamed from ', oldName, ' to ', self._name)
self.renameLegendItem(self.plot.plotItem.legend, oldName,
self._name)
def process(self, X, Y, dY):
if X is not None and Y is not None:
if len(X) == len(Y):
self.txt.setText('length=%d\nx: %s\ny: [%s]...' %
(len(X), str(X[:20]), " ".join(
format(a, ".1f") for a in Y[:20])))
try:
if dY is not None and self.plot is not None:
self.plot.setYRange(dY[0], dY[1])
except Exception as e:
print(e)
self.curve.setData(X, Y)
return
self.curve.setData([])
################################################################################################
#######################--------Container Function calls start here------------##################
################################################################################################
class ArrayNode(CtrlNode):
nodeName = '1 Column Array'
uiTemplate = []
def __init__(self, name):
self.A = []
terminals = {'In': dict(io='in'), 'ArrayOut': dict(io='out')}
CtrlNode.__init__(self, name, terminals=terminals)
self.container = addWidget(self.graphicsItem(),
'array',
func=self.clear)
def clear(self):
self.A = []
self.container.label.setText('Empty')
def process(self, In, display=False):
try:
self.A.append(float(In))
self.container.label.setText('size:%d' % len(self.A))
except Exception as e:
print(e)
return {'ArrayOut': np.array(self.A)}
class ArrayNode2D(CtrlNode):
nodeName = '2 Column Array'
uiTemplate = []
def __init__(self, name):
self.A = []
self.B = []
terminals = {
'In1': dict(io='in'),
'In2': dict(io='in'),
'ArrayOut1': dict(io='out'),
'ArrayOut2': dict(io='out')
}
CtrlNode.__init__(self, name, terminals=terminals)
self.container = addWidget(self.graphicsItem(),
'array',
func=self.clear)
def clear(self):
self.A = []
self.B = []
self.container.label.setText('Empty')
def process(self, In1, In2, display=False):
try:
self.A.append(float(In1))
self.B.append(float(In2))
self.container.label.setText('size:%d' % len(self.A))
except Exception as e:
print(e)
return {
'ArrayOut1': np.array(self.A),
'ArrayOut2': np.array(self.B)
}
################################################################################################
#######################--------Input Function calls start here------------######################
################################################################################################
class CaptureNode1(CtrlNode):
nodeName = 'Capture1'
uiTemplate = [
('samples', 'spin', {
'value': 1000,
'dec': False,
'step': 10,
'minStep': 1,
'bounds': [0, 10000]
}),
('timegap', 'spin', {
'value': 1,
'dec': False,
'step': 10,
'minStep': 1,
'bounds': [0, 100]
}),
]
def __init__(self, name):
terminals = OrderedDict([('In', dict(io='in')),
('time', dict(io='out')),
('voltage', dict(io='out')),
('dV', dict(io='out'))])
CtrlNode.__init__(self, name, terminals=terminals)
self.comboBox = addWidget(self.graphicsItem(),
'combo',
items=self.I.allAnalogChannels)
def process(self, In, display=False):
try:
x, y = self.I.capture1(self.comboBox.currentText(),
int(self.ctrls['samples'].value()),
int(self.ctrls['timegap'].value()))
return {
'time': x,
'voltage': y,
'dV': self.I.achans[0].get_Y_range()
}
except Exception as e:
print(e)
return {'time': None, 'voltage': None}
class CaptureNode2(CtrlNode):
nodeName = 'Capture2'
uiTemplate = [
('samples', 'spin', {
'value': 1000,
'dec': False,
'step': 10,
'minStep': 1,
'bounds': [0, 5000]
}),
('timegap', 'spin', {
'value': 1,
'dec': False,
'step': 10,
'minStep': 1,
'bounds': [0, 100]
}),
]
def __init__(self, name):
terminals = OrderedDict([('In', dict(io='in')),
('time', dict(io='out')),
('V_CH1', dict(io='out')),
('V_CH2', dict(io='out'))])
CtrlNode.__init__(self, name, terminals=terminals)
self.comboBox = addWidget(self.graphicsItem(),
'combo',
items=self.I.allAnalogChannels)
def process(self, In, display=False):
try:
x, y1, y2 = self.I.capture2(self.ctrls['samples'].value(),
self.ctrls['timegap'].value(),
self.comboBox.currentText())
return {'time': x, 'V_CH1': y1, 'V_CH2': y2}
except Exception as e:
print(e)
return {'time': None, 'V_CH1': None, 'V_CH2': None}
class VoltNode(CtrlNode):
nodeName = 'AnalogIn'
uiTemplate = [
('channel', 'combo', {
'values': ['CH1', 'CH2', 'CH3', 'AN8', 'SEN', 'CAP']
}),
]
def __init__(self, name):
terminals = {'trig': dict(io='in'), 'V_out': dict(io='out')}
CtrlNode.__init__(self, name, terminals=terminals)
def process(self, trig, display=False):
if trig != None:
try:
val = self.I.get_voltage(
self.ctrls['channel'].currentText())
return {'V_out': val}
except Exception as e:
print(e)
return {'V_out': None}
################################################################################################
#######################-----------Options and settings start here------------###################
################################################################################################
class GainNode(CtrlNode, utilitiesClass):
nodeName = 'AnalogGain'
def __init__(self, name):
terminals = {}
CtrlNode.__init__(self, name, terminals=terminals)
self.graphicsItem().nameItem.setPlainText('')
self.wg = self.gainIcon(FUNC=self.I.set_gain)
self.comboBox = addWidget(self.graphicsItem(), 'generic', self.wg)
def process(self, display=False):
pass #return {'Y_CH1':self.I.achans['CH1'].get_Y_range(),'Y_CH2':self.I.achans['CH2'].get_Y_range()}
class ConstantNode(CtrlNode):
nodeName = 'Constant'
def __init__(self, name):
terminals = {'value': {'io': 'out', 'multiable': True}}
CtrlNode.__init__(self, name, terminals=terminals)
def process(self, display=False):
return {'value': [-4, 4]}
################################################################################################
#######################----------Output Function calls start here------------###################
################################################################################################
class DACNode(CtrlNode):
nodeName = 'PVx'
uiTemplate = [
('channel', 'combo', {
'values': ['PV1', 'PV2', 'PV3']
}),
]
def __init__(self, name):
terminals = {'V_in': dict(io='in'), 'V_out': dict(io='out')}
CtrlNode.__init__(self, name, terminals=terminals)
self.label = addWidget(self.graphicsItem(), 'label', units='V')
def process(self, V_in, display=False):
if V_in:
try:
val = self.I.DAC.setVoltage(
self.ctrls['channel'].currentText(), V_in)
self.label.setValue(val)
return {'V_out': val}
except Exception as e:
print(e)
return {'V_out': None}
class MyEvalNode(Node):
"""Return the output of a string evaluated/executed by the python interpreter.
The string may be either an expression or a python script, and inputs are accessed as the name of the terminal.
For expressions, a single value may be evaluated for a single output, or a dict for multiple outputs.
For a script, the text will be executed as the body of a function."""
nodeName = 'MyPythonEval'
def __init__(self, name):
Node.__init__(self,
name,
terminals={
'input': {
'io': 'in',
'renamable': True,
'multiable': True
},
'output': {
'io': 'out',
'renamable': True,
'multiable': True
},
},
allowAddInput=True,
allowAddOutput=True)
self.ui = QtGui.QWidget()
self.layout = QtGui.QGridLayout()
self.text = QtGui.QTextEdit()
self.text.setTabStopWidth(30)
self.text.setPlainText(
"# Access inputs as args['input_name']\nreturn {'output': None} ## one key per output terminal"
)
self.layout.addWidget(self.text, 1, 0, 1, 2)
self.ui.setLayout(self.layout)
#QtCore.QObject.connect(self.addInBtn, QtCore.SIGNAL('clicked()'), self.addInput)
#self.addInBtn.clicked.connect(self.addInput)
#QtCore.QObject.connect(self.addOutBtn, QtCore.SIGNAL('clicked()'), self.addOutput)
#self.addOutBtn.clicked.connect(self.addOutput)
self.text.focusOutEvent = self.focusOutEvent
self.lastText = None
def focusOutEvent(self, ev):
text = str(self.text.toPlainText())
if text != self.lastText:
self.lastText = text
self.update()
return QtGui.QTextEdit.focusOutEvent(self.text, ev)
def process(self, display=True, **args):
l = locals()
l.update(args)
## try eval first, then exec
try:
text = str(self.text.toPlainText()).replace('\n', ' ')
output = eval(text, globals(), l)
except SyntaxError:
fn = "def fn(**args):\n"
run = "\noutput=fn(**args)\n"
text = fn + "\n".join([
" " + l
for l in str(self.text.toPlainText()).split('\n')
]) + run
exec(text)
except:
print("Error processing node: %s" % self.name())
raise
return output
def saveState(self):
state = Node.saveState(self)
state['text'] = str(self.text.toPlainText())
return state
def restoreState(self, state):
Node.restoreState(self, state)
self.text.clear()
self.text.insertPlainText(state['text'])
self.restoreTerminals(state['terminals'])
self.update()
## Add two plot widgets
pw1 = pg.PlotWidget()
pw2 = pg.PlotWidget()
layout.addWidget(pw1, 0, 1)
layout.addWidget(pw2, 1, 1)
win.show()
## generate signal data to pass through the flowchart
data = np.random.normal(size=1000)
data[200:300] += 1
data += np.sin(np.linspace(0, 100, 1000))
data = metaarray.MetaArray(data, info=[{'name': 'Time', 'values': np.linspace(0, 1.0, len(data))}, {}])
## Feed data into the input terminal of the flowchart
fc.setInput(dataIn=data)
## populate the flowchart with a basic set of processing nodes.
## (usually we let the user do this)
plotList = {'Top Plot': pw1, 'Bottom Plot': pw2}
pw1Node = fc.createNode('PlotWidget', pos=(0, -150))
pw1Node.setPlotList(plotList)
pw1Node.setPlot(pw1)
pw2Node = fc.createNode('PlotWidget', pos=(150, -150))
pw2Node.setPlot(pw2)
pw2Node.setPlotList(plotList)
fNode = fc.createNode('GaussianFilter', pos=(0, 0))
fNode.ctrls['sigma'].setValue(5)
def __init__(self, data_In=None, dataB_In=None, *args, **kwargs):
super().__init__()
# data_In will be Adata
if data_In == None:
print("Please load data")
# For testing, create noise data
data_In = []
for i in range(50):
dat = np.random.normal(size=1024)
dat[200:300] += 1
dat += np.sin(np.linspace(0, 100, 1024))
data_In.append(dat)
data_In = np.array(data_In)
self.ui = Ui_BackgroundSubtraction()
self.ui.setupUi(self)
# Change plot labels, because I was too lazy to create a new widget
pw1 = self.ui.View_Orig
pw1.plt.setLabel('bottom', 'Magnetic Field', units='T') # X-Axis
pw1.plt.setLabel('left', "Amplitude (Arb. Units)", units='') # Y-Axis
pw2 = self.ui.View_Mod
pw2.plt.setLabel('bottom', 'Magnetic Field', units='T') # X-Axis
pw2.plt.setLabel('left', "Amplitude (Arb. Units)", units='') # Y-Axis
pw3 = self.ui.View_Colour
# Create Flowchart with two IO Nodes
fc = Flowchart(terminals={
'dataIn': {
'io': 'in'
},
'dataOut': {
'io': 'out'
}
})
w = fc.widget()
self.ui.gridLayout.addWidget(w)
# Create metaarray using data_In and some information
#data = metaarray.MetaArray(data_In, info=[{'name': 'Amplitude data'}, {}])
fc.setInput(dataIn=data_In) #Set data to Input Node
## If we want to make our custom node available only to this flowchart,
## then instead of registering the node type globally, we can create a new
## NodeLibrary:
library = fclib.LIBRARY.copy() # start with the default node set
# Add the node to two locations in the menu to demonstrate
# that we can create arbitrary menu structures
library.addNodeType(SavGol_Smooth, [('FMR', 'Filter')])
library.addNodeType(SavGol_Smooth_2D, [('FMR', 'Filter')])
library.addNodeType(FMR_Subtract_Average, [('FMR', 'Filter')])
library.addNodeType(FMR_Subtract_Average_Colour, [('FMR', 'Filter')])
library.addNodeType(Measurement_Select, [('FMR', 'Data')])
library.addNodeType(Average_Ang_Dep, [('FMR', 'Data')])
library.addNodeType(ImageViewNode, [('Display', )])
fc.setLibrary(library)
plotList = {'Top Plot': pw1.plt, 'Bottom Plot': pw2.plt}
pw1Node = fc.createNode('PlotWidget', pos=(0, -150))
pw1Node.setPlotList(plotList)
pw1Node.setPlot(pw1.plt)
pw2Node = fc.createNode('PlotWidget', pos=(150, -150))
pw2Node.setPlot(pw2.plt)
pw2Node.setPlotList(plotList)
pw3Node = fc.createNode('ImageView', pos=(300, -150))
pw3Node.setView(pw3.img)
fNode = fc.createNode('Spectrum select', pos=(0, 0))
fc.connectTerminals(
fc['dataIn'], fNode['dataIn']
) # Use this Slice node to select the measurement that you want to smooth aka axis
fc.connectTerminals(fNode['dataOut'], pw1Node['In'])
fc.connectTerminals(fNode['dataOut'], pw2Node['In'])
fc.connectTerminals(fNode['dataOut'], fc['dataOut'])
