def __init__(self):
super().__init__()
# settings
self.setBackground("#fff")
self.setFrameStyle(QFrame.StyledPanel|QFrame.Sunken)
self.setAntialiasing(True)
# create custom view box
view_box = ViewBox()
view_box.setMouseEnabled(False, False)
view_box.setLimits(xMin=0, yMin=0, minXRange=10, minYRange=100)
view_box.setRange(xRange=(0, 400), yRange=(0, 5000))
view_box.enableAutoRange()
# create natural axis items
self.x_axis = NaturalAxis("bottom")
self.x_axis.setLabel(QApplication.translate("NaturalPlotView", "Fence length"), "m")
self.y_axis = NaturalAxis("left")
self.y_axis.setLabel(QApplication.translate("NaturalPlotView", "Number of plants"))
# create fence information text
self.fenceItem = TextItem(border=pyqtgraph.mkPen(width=2, color="#555"),
fill=pyqtgraph.mkBrush((255, 255, 255, 200)))
# create tube information text
self.tubeItem = TextItem(border=pyqtgraph.mkPen(width=2, color="#555"),
fill=pyqtgraph.mkBrush((255, 255, 255, 200)),
anchor=(1,1))
# create plot item with custom view box and natural axis items
self.plotItem = PlotItem(viewBox=view_box,
axisItems={"bottom" : self.x_axis, "left" : self.y_axis}, enableMenu=False)
self.plotItem.setContentsMargins(5, 5, 12, 5)
self.plotItem.hideButtons()
self.plotItem.hide()
self.setCentralWidget(self.plotItem)
# connect actions
view_box.sigResized.connect(self.updateTubeLegendPosition)
# translate the plot item
self.retranslateUi()
class HistogramLUTItem_overlay(GraphicsWidget):
"""
This is a graphicsWidget which provides controls for adjusting the display of an image.
Includes:
- Image histogram
- Movable region over histogram to select black/white levels
- Gradient editor to define color lookup table for single-channel images
Parameters
----------
image : ImageItem or None
If *image* is provided, then the control will be automatically linked to
the image and changes to the control will be immediately reflected in
the image's appearance.
fillHistogram : bool
By default, the histogram is rendered with a fill.
For performance, set *fillHistogram* = False.
rgbHistogram : bool
Sets whether the histogram is computed once over all channels of the
image, or once per channel.
levelMode : 'mono' or 'rgba'
If 'mono', then only a single set of black/whilte level lines is drawn,
and the levels apply to all channels in the image. If 'rgba', then one
set of levels is drawn for each channel.
"""
sigLookupTableChanged = QtCore.Signal(object)
sigLevelsChanged = QtCore.Signal(object)
sigLevelChangeFinished = QtCore.Signal(object)
def __init__(self, image=None, fillHistogram=True, rgbHistogram=False, levelMode='mono'):
GraphicsWidget.__init__(self)
self.overlay = False
self.lut = None
self.imageItem = lambda: None # fake a dead weakref
self.levelMode = levelMode
self.rgbHistogram = rgbHistogram
self.layout = QtGui.QGraphicsGridLayout()
self.setLayout(self.layout)
self.layout.setContentsMargins(1,1,1,1)
self.layout.setSpacing(0)
self.vb = ViewBox(parent=self)
self.vb.setMaximumWidth(152)
self.vb.setMinimumWidth(45)
self.vb.setMouseEnabled(x=False, y=True)
self.gradient = GradientEditorItem()
self.gradient.setOrientation('right')
self.gradient.loadPreset('grey')
self.regions = [
LinearRegionItem([0, 1], 'horizontal', swapMode='block'),
LinearRegionItem([0, 1], 'horizontal', swapMode='block', pen='r',
brush=fn.mkBrush((255, 50, 50, 50)), span=(0., 1/3.)),
LinearRegionItem([0, 1], 'horizontal', swapMode='block', pen='g',
brush=fn.mkBrush((50, 255, 50, 50)), span=(1/3., 2/3.)),
LinearRegionItem([0, 1], 'horizontal', swapMode='block', pen='b',
brush=fn.mkBrush((50, 50, 255, 80)), span=(2/3., 1.)),
LinearRegionItem([0, 1], 'horizontal', swapMode='block', pen='w',
brush=fn.mkBrush((255, 255, 255, 50)), span=(2/3., 1.))]
for region in self.regions:
region.setZValue(1000)
self.vb.addItem(region)
region.lines[0].addMarker('<|', 0.5)
region.lines[1].addMarker('|>', 0.5)
region.sigRegionChanged.connect(self.regionChanging)
region.sigRegionChangeFinished.connect(self.regionChanged)
self.region = self.regions[0] # for backward compatibility.
self.axis = AxisItem('left', linkView=self.vb, maxTickLength=-10, parent=self)
self.layout.addItem(self.axis, 0, 0)
self.layout.addItem(self.vb, 0, 1)
self.layout.addItem(self.gradient, 0, 2)
self.range = None
self.gradient.setFlag(self.gradient.ItemStacksBehindParent)
self.vb.setFlag(self.gradient.ItemStacksBehindParent)
self.gradient.sigGradientChanged.connect(self.gradientChanged)
self.vb.sigRangeChanged.connect(self.viewRangeChanged)
add = QtGui.QPainter.CompositionMode_Plus
self.plots = [
PlotCurveItem(pen=(200, 200, 200, 100)), # mono
PlotCurveItem(pen=(255, 0, 0, 100), compositionMode=add), # r
PlotCurveItem(pen=(0, 255, 0, 100), compositionMode=add), # g
PlotCurveItem(pen=(0, 0, 255, 100), compositionMode=add), # b
PlotCurveItem(pen=(200, 200, 200, 100), compositionMode=add), # a
]
self.plot = self.plots[0] # for backward compatibility.
for plot in self.plots:
plot.rotate(90)
self.vb.addItem(plot)
self.fillHistogram(fillHistogram)
self._showRegions()
self.vb.addItem(self.plot)
self.autoHistogramRange()
if image is not None:
self.setImageItem(image)
def fillHistogram(self, fill=True, level=0.0, color=(100, 100, 200)):
colors = [color, (255, 0, 0, 50), (0, 255, 0, 50), (0, 0, 255, 50), (255, 255, 255, 50)]
for i,plot in enumerate(self.plots):
if fill:
plot.setFillLevel(level)
plot.setBrush(colors[i])
else:
plot.setFillLevel(None)
def paint(self, p, *args):
if self.levelMode != 'mono':
return
pen = self.region.lines[0].pen
rgn = self.getLevels()
p1 = self.vb.mapFromViewToItem(self, Point(self.vb.viewRect().center().x(), rgn[0]))
p2 = self.vb.mapFromViewToItem(self, Point(self.vb.viewRect().center().x(), rgn[1]))
gradRect = self.gradient.mapRectToParent(self.gradient.gradRect.rect())
for pen in [fn.mkPen((0, 0, 0, 100), width=3), pen]:
p.setPen(pen)
p.drawLine(p1 + Point(0, 5), gradRect.bottomLeft())
p.drawLine(p2 - Point(0, 5), gradRect.topLeft())
p.drawLine(gradRect.topLeft(), gradRect.topRight())
p.drawLine(gradRect.bottomLeft(), gradRect.bottomRight())
def setHistogramRange(self, mn, mx, padding=0.1):
"""Set the Y range on the histogram plot. This disables auto-scaling."""
self.vb.enableAutoRange(self.vb.YAxis, False)
self.vb.setYRange(mn, mx, padding)
def autoHistogramRange(self):
"""Enable auto-scaling on the histogram plot."""
self.vb.enableAutoRange(self.vb.XYAxes)
def setImageItem(self, img):
"""Set an ImageItem to have its levels and LUT automatically controlled
by this HistogramLUTItem.
"""
self.imageItem = weakref.ref(img)
img.sigImageChanged.connect(self.imageChanged)
img.setLookupTable(self.getLookupTable) ## send function pointer, not the result
self.regionChanged()
self.imageChanged(autoLevel=True)
def viewRangeChanged(self):
self.update()
def gradientChanged(self):
if self.imageItem() is not None:
if self.gradient.isLookupTrivial():
self.imageItem().setLookupTable(None) #lambda x: x.astype(np.uint8))
else:
self.imageItem().setLookupTable(self.getLookupTable) ## send function pointer, not the result
self.lut = None
self.sigLookupTableChanged.emit(self)
def getLookupTable(self, img=None, n=None, alpha=None):
"""Return a lookup table from the color gradient defined by this
HistogramLUTItem.
"""
if self.levelMode is not 'mono':
return None
if n is None:
if img.dtype == np.uint8:
n = 256
else:
n = 512
if self.lut is None:
self.lut = self.gradient.getLookupTable(n, alpha=alpha)
return self.lut
def regionChanged(self):
if self.imageItem() is not None:
self.imageItem().setLevels(self.getLevels())
self.sigLevelChangeFinished.emit(self)
def regionChanging(self):
if self.imageItem() is not None:
self.imageItem().setLevels(self.getLevels())
self.sigLevelsChanged.emit(self)
self.update()
def imageChanged(self, autoLevel=False, autoRange=False):
if self.imageItem() is None:
return
if self.levelMode == 'mono':
for plt in self.plots[1:]:
plt.setVisible(False)
self.plots[0].setVisible(True)
# plot one histogram for all image data
profiler = debug.Profiler()
h = self.imageItem().getHistogram()
profiler('get histogram')
if h[0] is None:
return
self.plot.setData(*h)
profiler('set plot')
if autoLevel:
mn = h[0][0]
mx = h[0][-1]
self.region.setRegion([mn, mx])
profiler('set region')
else:
mn, mx = self.imageItem().levels
self.region.setRegion([mn, mx])
else:
# plot one histogram for each channel
self.plots[0].setVisible(False)
ch = self.imageItem().getHistogram(perChannel=True)
if ch[0] is None:
return
for i in range(1, 5):
if len(ch) >= i:
h = ch[i-1]
self.plots[i].setVisible(True)
self.plots[i].setData(*h)
if autoLevel:
mn = h[0][0]
mx = h[0][-1]
self.region[i].setRegion([mn, mx])
else:
# hide channels not present in image data
self.plots[i].setVisible(False)
# make sure we are displaying the correct number of channels
self._showRegions()
def getLevels(self):
"""Return the min and max levels.
For rgba mode, this returns a list of the levels for each channel.
"""
if self.levelMode == 'mono':
return self.region.getRegion()
else:
nch = self.imageItem().channels()
if nch is None:
nch = 3
return [r.getRegion() for r in self.regions[1:nch+1]]
def setLevels(self, min=None, max=None, rgba=None):
"""Set the min/max (bright and dark) levels.
Arguments may be *min* and *max* for single-channel data, or
*rgba* = [(rmin, rmax), ...] for multi-channel data.
"""
if self.levelMode == 'mono':
if min is None:
min, max = rgba[0]
assert None not in (min, max)
self.region.setRegion((min, max))
else:
if rgba is None:
raise TypeError("Must specify rgba argument when levelMode != 'mono'.")
for i, levels in enumerate(rgba):
self.regions[i+1].setRegion(levels)
def setLevelMode(self, mode):
""" Set the method of controlling the image levels offered to the user.
Options are 'mono' or 'rgba'.
"""
assert mode in ('mono', 'rgba')
if mode == self.levelMode:
return
oldLevels = self.getLevels()
self.levelMode = mode
self._showRegions()
# do our best to preserve old levels
if mode == 'mono':
levels = np.array(oldLevels).mean(axis=0)
self.setLevels(*levels)
else:
levels = [oldLevels] * 4
self.setLevels(rgba=levels)
# force this because calling self.setLevels might not set the imageItem
# levels if there was no change to the region item
self.imageItem().setLevels(self.getLevels())
self.imageChanged()
self.update()
def _showRegions(self):
for i in range(len(self.regions)):
self.regions[i].setVisible(False)
if self.levelMode == 'rgba':
imax = 4
if self.imageItem() is not None:
# Only show rgb channels if connected image lacks alpha.
nch = self.imageItem().channels()
if nch is None:
nch = 3
xdif = 1.0 / nch
for i in range(1, nch+1):
self.regions[i].setVisible(True)
self.regions[i].setSpan((i-1) * xdif, i * xdif)
self.gradient.hide()
elif self.levelMode == 'mono':
self.regions[0].setVisible(True)
self.gradient.show()
else:
raise ValueError("Unknown level mode %r" % self.levelMode)
def saveState(self):
return {
'gradient': self.gradient.saveState(),
'levels': self.getLevels(),
'mode': self.levelMode,
}
def restoreState(self, state):
self.setLevelMode(state['mode'])
self.gradient.restoreState(state['gradient'])
self.setLevels(*state['levels'])
def setOverlay(self,state=False):
self.overlay = state
class HistogramItem(GraphicsWidget):
"""
This is a graphicsWidget which provides controls for adjusting the display of an image.
Includes:
- Image histogram
- Movable region over histogram to select black/white levels
Parameters
----------
image : ImageItem or None
If *image* is provided, then the control will be automatically linked to
the image and changes to the control will be immediately reflected in
the image's appearance.
fillHistogram : bool
By default, the histogram is rendered with a fill.
For performance, set *fillHistogram* = False.
"""
sigLevelsChanged = pyqtSignal(object)
sigLevelChangeFinished = pyqtSignal(object)
def __init__(self, image=None, fillHistogram=True, bounds: tuple = None):
GraphicsWidget.__init__(self)
self.imageItem = lambda: None # fake a dead weakref
self.layout = QGraphicsGridLayout()
self.setLayout(self.layout)
self.layout.setContentsMargins(1, 1, 1, 1)
self.layout.setSpacing(0)
self.vb = ViewBox(parent=self)
# self.vb.setMaximumHeight(152)
# self.vb.setMinimumWidth(45)
self.vb.setMouseEnabled(x=True, y=False)
self.region = LinearRegionItem([0, 1], 'vertical', swapMode='block', bounds=bounds)
self.region.setZValue(1000)
self.vb.addItem(self.region)
self.region.lines[0].addMarker('<|', 0.5)
self.region.lines[1].addMarker('|>', 0.5)
self.region.sigRegionChanged.connect(self.regionChanging)
self.region.sigRegionChangeFinished.connect(self.regionChanged)
self.axis = AxisItem('bottom', linkView=self.vb, maxTickLength=-10, parent=self)
self.layout.addItem(self.axis, 1, 0)
self.layout.addItem(self.vb, 0, 0)
self.range = None
self.vb.sigRangeChanged.connect(self.viewRangeChanged)
self.plot = PlotCurveItem(pen=(200, 200, 200, 100))
# self.plot.rotate(90)
self.vb.addItem(self.plot)
self.fillHistogram(fillHistogram)
self._showRegions()
self.autoHistogramRange()
if image is not None:
self.setImageItem(image)
def fillHistogram(self, fill=True, level=0.0, color=(100, 100, 200)):
if fill:
self.plot.setFillLevel(level)
self.plot.setBrush(color)
else:
self.plot.setFillLevel(None)
def paint(self, p, *args):
rgn = self.getLevels()
self.vb.mapFromViewToItem(self, Point(self.vb.viewRect().center().x(), rgn[0]))
self.vb.mapFromViewToItem(self, Point(self.vb.viewRect().center().x(), rgn[1]))
def setHistogramRange(self, mn, mx, padding=0.1):
"""Set the Y range on the histogram plot. This disables auto-scaling."""
self.vb.enableAutoRange(self.vb.XAxis, False)
self.vb.setYRange(mn, mx, padding)
def autoHistogramRange(self):
"""Enable auto-scaling on the histogram plot."""
self.vb.enableAutoRange(self.vb.XYAxes)
def setImageItem(self, img):
"""Set an ImageItem to have its levels and LUT automatically controlled
by this HistogramLUTItem.
"""
self.imageItem = weakref.ref(img)
img.sigImageChanged.connect(self.imageChanged)
self.regionChanged()
self.imageChanged(autoLevel=True)
def viewRangeChanged(self):
self.update()
def regionChanged(self):
if self.imageItem() is not None:
self.imageItem().setLevels(self.getLevels())
self.sigLevelChangeFinished.emit(self)
def regionChanging(self):
if self.imageItem() is not None:
self.imageItem().setLevels(self.getLevels())
self.sigLevelsChanged.emit(self)
self.update()
def imageChanged(self, autoLevel=False):
if self.imageItem() is None:
return
self.plot.setVisible(True)
# plot one histogram for all image data
h = self.imageItem().getHistogram()
if h[0] is None:
return
self.plot.setData(*h)
if autoLevel:
mn = h[0][0]
mx = h[0][-1]
self.region.setRegion([mn, mx])
else:
mn, mx = self.imageItem().levels
self.region.setRegion([mn, mx])
def getLevels(self):
"""
Return the min and max levels.
"""
return self.region.getRegion()
def setLevels(self, min=None, max=None):
"""
Set the min/max (bright and dark) levels.
"""
assert None not in (min, max)
self.region.setRegion((min, max))
def _showRegions(self):
self.region.setVisible(True)
def saveState(self):
return {
'levels': self.getLevels(),
}
def restoreState(self, state):
self.setLevels(*state['levels'])
class DataWidget(QWidget):
def __init__(self, parent, shared_data):
super(DataWidget, self).__init__(parent)
self.__shared_data = shared_data
self.__shared_data.update_sync.emit()
# Add the file selection controls
self.__dir_picker_button = QPushButton()
self.__dir_picker_button.setEnabled(True)
self.__dir_picker_button.setText("Load data")
self.__dir_picker_button.setIcon(self.style().standardIcon(QStyle.SP_DirIcon))
self.__dir_picker_button.setToolTip('Select the directory using the file explorer')
self.__dir_picker_button.clicked.connect(self.__open_dir_picker)
# Add the sync controls
self.__sync_time_label = QLabel()
self.__sync_time_label.setText('Enter the timecode (HH:mm:ss:zzz) : ')
self.__sync_time_edit = QTimeEdit()
self.__sync_time_edit.setDisplayFormat('HH:mm:ss:zzz')
self.__sync_time_edit.setEnabled(False)
self.__sync_time_button = QPushButton()
self.__sync_time_button.setText('Sync data')
self.__sync_time_button.setEnabled(False)
self.__sync_time_button.clicked.connect(self.__sync_data)
# Create the layout for the file controls
dir_layout = QHBoxLayout()
dir_layout.setContentsMargins(0, 0, 0, 0)
dir_layout.addWidget(self.__dir_picker_button)
dir_layout.addStretch(1)
dir_layout.addWidget(self.__sync_time_label)
dir_layout.addWidget(self.__sync_time_edit)
dir_layout.addWidget(self.__sync_time_button)
# Create the axis and their viewbox
self.__x_axis_item = AxisItem('left')
self.__y_axis_item = AxisItem('left')
self.__z_axis_item = AxisItem('left')
self.__x_axis_viewbox = ViewBox()
self.__y_axis_viewbox = ViewBox()
self.__z_axis_viewbox = ViewBox()
# Create the widget which will display the data
self.__graphic_view = GraphicsView(background="#ecf0f1")
self.__graphic_layout = GraphicsLayout()
self.__graphic_view.setCentralWidget(self.__graphic_layout)
# Add the axis to the widget
self.__graphic_layout.addItem(self.__x_axis_item, row=2, col=3, rowspan=1, colspan=1)
self.__graphic_layout.addItem(self.__y_axis_item, row=2, col=2, rowspan=1, colspan=1)
self.__graphic_layout.addItem(self.__z_axis_item, row=2, col=1, rowspan=1, colspan=1)
self.__plot_item = PlotItem()
self.__plot_item_viewbox = self.__plot_item.vb
self.__graphic_layout.addItem(self.__plot_item, row=2, col=4, rowspan=1, colspan=1)
self.__graphic_layout.scene().addItem(self.__x_axis_viewbox)
self.__graphic_layout.scene().addItem(self.__y_axis_viewbox)
self.__graphic_layout.scene().addItem(self.__z_axis_viewbox)
self.__x_axis_item.linkToView(self.__x_axis_viewbox)
self.__y_axis_item.linkToView(self.__y_axis_viewbox)
self.__z_axis_item.linkToView(self.__z_axis_viewbox)
self.__x_axis_viewbox.setXLink(self.__plot_item_viewbox)
self.__y_axis_viewbox.setXLink(self.__plot_item_viewbox)
self.__z_axis_viewbox.setXLink(self.__plot_item_viewbox)
self.__plot_item_viewbox.sigResized.connect(self.__update_views)
self.__x_axis_viewbox.enableAutoRange(axis=ViewBox.XAxis, enable=True)
self.__y_axis_viewbox.enableAutoRange(axis=ViewBox.XAxis, enable=True)
self.__z_axis_viewbox.enableAutoRange(axis=ViewBox.XAxis, enable=True)
# Create the final layout
self.__v_box = QVBoxLayout()
self.__v_box.addLayout(dir_layout)
self.__v_box.addWidget(self.__graphic_view)
self.setLayout(self.__v_box)
self.__restore_state()
def __open_dir_picker(self):
self.__shared_data.data_file_path = QFileDialog.getOpenFileUrl(self, 'Open the Hexoskin data directory',
QDir.homePath())[0]
if self.__shared_data.data_file_path is not None:
try:
self.__load_data()
self.__add_selector_acc_gyr()
self.__show_data('ACC_X', 'ACC_Y', 'ACC_Z')
except FileNotFoundError:
pass
except UnicodeDecodeError:
pass
def __load_data(self):
if self.__shared_data.data_file_path is not None:
self.__shared_data.import_parameter()
def __show_data(self, field1, field2, field3):
if self.__shared_data.parameter is not None:
# Generate the timecodes if needed
if len(self.__shared_data.parameter['TIMECODE']) == 0:
if self.__shared_data.sampling_rate is None:
result = False
while not result and result == 0:
result = self.__show_sampling_rate_picker()
self.__shared_data.add_timecode()
self.__x_axis_viewbox.clear()
self.__y_axis_viewbox.clear()
self.__z_axis_viewbox.clear()
# Show the 3 selected fields
self.__x_axis_viewbox.addItem(PlotCurveItem(list(map(int, self.__shared_data.parameter.get(field1))),
pen='#34495e'))
self.__y_axis_viewbox.addItem(PlotCurveItem(list(map(int, self.__shared_data.parameter.get(field2))),
pen='#9b59b6'))
self.__z_axis_viewbox.addItem(PlotCurveItem(list(map(int, self.__shared_data.parameter.get(field3))),
pen='#3498db'))
self.__x_axis_item.setLabel(field1, color="#34495e")
self.__y_axis_item.setLabel(field2, color="#9b59b6")
self.__z_axis_item.setLabel(field3, color="#3498db")
# Add the middle line and the bottom timecodes
timecodes = self.__shared_data.parameter['TIMECODE']
middle = [0] * len(timecodes)
self.__plot_item_viewbox.addItem(PlotCurveItem(middle, pen='#000000'))
self.__plot_item.getAxis('bottom').setTicks(
self.__generate_time_ticks(timecodes, self.__shared_data.sampling_rate))
# Enable the controls
self.__sync_time_edit.setEnabled(True)
self.__sync_time_button.setEnabled(True)
self.__dir_picker_button.setEnabled(False)
self.__update_views()
def __update_views(self):
self.__x_axis_viewbox.setGeometry(self.__plot_item_viewbox.sceneBoundingRect())
self.__y_axis_viewbox.setGeometry(self.__plot_item_viewbox.sceneBoundingRect())
self.__z_axis_viewbox.setGeometry(self.__plot_item_viewbox.sceneBoundingRect())
def __generate_time_ticks(self, timecodes, rate):
ticks = list()
steps = [rate * 30, rate * 15, rate * 5, rate]
for step in steps:
temp = list()
i = step
while i in range(len(timecodes)):
temp.append((i, timecodes[i].strftime('%H:%M:%S:') + str(int(timecodes[i].microsecond / 1000))))
i += step
ticks.append(temp)
return ticks
def __sync_data(self):
self.__shared_data.data_sync = self.__sync_time_edit.text()
self.__shared_data.update_sync.emit()
def __show_sampling_rate_picker(self) -> bool:
self.__shared_data.sampling_rate, result = QInputDialog.getInt(self, 'Set sampling rate value', 'Sampling rate')
return result
def __add_selector_acc_gyr(self):
if 'GYR_X' in self.__shared_data.parameter.keys() or 'GYR_Y' in self.__shared_data.parameter.keys() \
or 'GYR_Z' in self.__shared_data.parameter.keys():
show_acc = QPushButton()
show_acc.setText('Show Accelerometer Axis')
show_acc.clicked.connect(self.__show_acc)
show_gyr = QPushButton()
show_gyr.setText('Show Gyroscope Axis')
show_gyr.clicked.connect(self.__show_gyr)
layout = QHBoxLayout()
layout.addWidget(show_acc)
layout.addWidget(show_gyr)
layout.addStretch(1)
self.__v_box.addLayout(layout)
def __show_acc(self):
self.__show_data('ACC_X', 'ACC_Y', 'ACC_Z')
def __show_gyr(self):
self.__show_data('GYR_X', 'GYR_Y', 'GYR_Z')
def __restore_state(self):
if self.__shared_data.parameter is not None:
self.__add_selector_acc_gyr()
self.__show_data('ACC_X', 'ACC_Y', 'ACC_Z')
print('trigger reimport')
if self.__shared_data.data_sync is not None:
text_time = self.__shared_data.data_sync.split(':')
time = QTime()
time.setHMS(int(text_time[0]), int(text_time[1]), int(text_time[2]), int(text_time[3]))
self.__sync_time_edit.setTime(time)
