class FitParam(DataSet):
_prop = GetAttrProp("fittype")
fittype = ChoiceItem("Fit type", [("chebyshev", "Chebyshev"),
("spline", "Spline")],
default="chebyshev").set_prop("display", store=_prop)
k = IntItem(_("Spline degree"),
help=_("Spline deg"),
min=1,
max=5,
default=3).set_prop(
"display", active=FuncProp(
_prop, lambda x: x == 'spline')).set_pos(col=1,
colspan=2)
s = IntItem(_("Spline Smooth"),
help=_("Spline smooth"),
min=0,
default=30000).set_prop("display",
active=FuncProp(
_prop,
lambda x: x == 'spline')).set_pos(
col=1, colspan=3)
deg = IntItem(_("Chebyshev degree"),
help=_("Chebyshev deg"),
min=0,
default=90).set_prop(
"display",
active=FuncProp(_prop,
lambda x: x == 'chebyshev')).set_pos(
col=1, colspan=2)
class Controlwidget(DataSet):
Directory = DirectoryItem("Directory", default=os.path.abspath("../data/"))
_bt = BeginGroup("Frequency and time").set_pos(col=0)
Frequency = FloatItem("Frequency", default=142.175,
unit="GHz").set_prop("display", format="%3.1f")
IntegrationTime = FloatItem("Integration time", default=5.,
unit="s").set_prop("display", format="%3.1f")
BlankTime = IntItem("Blank time", default=5, unit="ms")
_et = EndGroup("Frequency and time")
_bs = BeginGroup("Sweep").set_pos(col=1)
Sweep = ChoiceItem("Sweep", ["Off", "On"], default=False)
FrequencyStep = FloatItem("Frequency step", default=.2,
unit="GHz").set_prop("display", format="%3.1f")
Offset = FloatItem("Offset", default=6.,
unit="GHz").set_prop("display", format="%3.1f")
SweepStep = FloatItem("Sweep step", default=10.,
unit="GHz").set_prop("display", format="%3.1f")
_es = EndGroup("Sweep")
_bo = BeginGroup("Other").set_pos(col=2)
Chopper = ChoiceItem("Chopper", ["Cold", "Hot", "Antenna", "Reference"],
default=0)
Antenna = IntItem("Antenna offset", default=1000, unit="")
NSpec = IntItem("Spectra per file", default=7000, unit="")
Format = ChoiceItem("File format", ["e", "a"], default=0)
_eo = EndGroup("Other")
class TestParameters(DataSet):
_bg = BeginGroup("R/W Commands")
readcmd = FileOpenItem("Read command", "exe", "")
writecmd = FileOpenItem("Write command", "exe", "")
_eg = EndGroup("R/W Commands")
_bg = BeginGroup("Channels")
ch1n = IntItem("Channel #1", default=3, min=1, max=4)
ach1n = EvalStringItem("K1", default="1").set_pos(col=1)
ch2n = IntItem("Channel #2", default=4, min=1, max=4)
ach2n = EvalStringItem("K2", default="1").set_pos(col=1)
_eg = EndGroup("Channels")
_bg = BeginGroup("Pulse")
period = FloatItem("Period",
min=0.5,
default=1.0,
help="Time between two sequential clock pulse")
duration = FloatItem("Duration",
min=0.5,
max=period,
default=0.7,
help="Duaration of the clock pulse")
syncch = IntItem("#Sync channel",
default=1,
min=1,
max=2,
help="The sync DAC channel")
_eg = EndGroup("Pulse")
_bg = BeginGroup("Save raw channels data")
raw_savedir = DirectoryItem("Directory", os.getcwd() + "\\tmp")
raw_fileprefix = StringItem("File Name", default="raw_")
_eg = EndGroup("Save raw channels data")
class TestParameters(DataSet):
"""
DataSet test
The following text is the DataSet 'comment': <br>Plain text or
<b>rich text<sup>2</sup></b> are both supported,
as well as special characters (α, β, γ, δ, ...)
"""
files = SubDataSetItem("files")
string = StringItem("String")
text = TextItem("Text")
_bg = BeginGroup("A sub group")
float_slider = FloatItem("Float (with slider)",
default=0.5,
min=0,
max=1,
step=0.01,
slider=True)
fl1 = FloatItem("Current",
default=10.,
min=1,
max=30,
unit="mA",
help="Threshold current")
fl2 = FloatItem("Float (col=1)",
default=1.,
min=1,
max=1,
help="Help on float item").set_pos(col=1)
fl3 = FloatItem("Not checked float").set_prop('data', check_value=False)
bool1 = BoolItem("Boolean option without label")
bool2 = BoolItem("Boolean option with label", "Label").set_pos(col=1,
colspan=2)
color = ColorItem("Color", default="red")
choice = ChoiceItem("Single choice",
[(16, "first choice"), (32, "second choice"),
(64, "third choice")]).set_pos(col=1, colspan=2)
_eg = EndGroup("A sub group")
floatarray = FloatArrayItem("Float array",
default=np.ones((50, 5), float),
format=" %.2e ").set_pos(col=1)
g0 = BeginTabGroup("group")
mchoice1 = MultipleChoiceItem(
"MC type 1",
["first choice", "second choice", "third choice"]).vertical(2)
mchoice2 = ImageChoiceItem("MC type 2",
[("rect", "first choice", "gif.png" ),
("ell", "second choice", "txt.png" ),
("qcq", "third choice", "file.png" )]
).set_pos(col=1) \
.set_prop("display", icon="file.png")
mchoice3 = MultipleChoiceItem("MC type 3",
[str(i) for i in range(10)]).horizontal(2)
eg0 = EndTabGroup("group")
integer_slider = IntItem("Integer (with slider)",
default=5,
min=0,
max=100,
slider=True)
integer = IntItem("Integer", default=5, min=3, max=6).set_pos(col=1)
class NumericalInput(DataSet):
"""
Numerical Parameters
Move Num. Steps slider to update the graphic
"""
mesh_x_size = IntItem("NX", default=40, min=2, max=401, slider=True)
wave_speed = FloatItem("Wave Speed", default=1)
step_size = FloatItem("Step Size", default=5e-3)
num_of_steps = IntItem("Num. Steps", default=1, min=1, max=200, slider=True)
class RemoteParameters(ActivableDataSet): #Sequence parameters
#read database to know default directory
db = SqliteDB.DBReader()
directoryPath = DirectoryItem("Seq. dir.", default=db.DefaultDirectory)
first_holo_seq = IntItem(_("First hologram"), default=0, min=0)
#last holo seq is defined with framesNumberProp that is modified when a new directory is choose
last_holo_seq = IntItem(_("Last hologram"), default=framesNumberprop)
saveAllStack = ChoiceItem(_("Save All stacks"), [(True, 'Yes'),
(False, 'False')],
default=False)
class ImageParam(DataSet):
_hide_data = False
_hide_size = True
title = StringItem(_("Title"), default=_("Untitled"))
data = FloatArrayItem(_("Data")).set_prop("display", hide=GetAttrProp("_hide_data"))
width = IntItem(
_("Width"), help=_("Image width (pixels)"), min=1, default=100
).set_prop("display", hide=GetAttrProp("_hide_size"))
height = IntItem(
_("Height"), help=_("Image height (pixels)"), min=1, default=100
).set_prop("display", hide=GetAttrProp("_hide_size"))
class InfoData(DataSet):
feed = IntItem("Feed:", default=cfeeds.default)
section = IntItem("Section:", default=csections.default).set_pos(col=1,
colspan=1)
polar = StringItem("Polarization:",
default=cpolars.default).set_pos(col=2, colspan=1)
freq = FloatItem("Frequency (MHz):", default="0.0").set_pos(col=3,
colspan=1)
band = FloatItem("Band (MHz):", default="0.0").set_pos(col=4, colspan=1)
otype = StringItem("Type:", default="")
flagname = StringItem("Flag file:", default="").set_pos(col=1, colspan=1)
class ArrayParam(DataSet):
_hide_data = False
_hide_size = True
title = StringItem(_("Name"), default=_(" array name "))
data = FloatArrayItem(_("Data")).set_prop("display",
hide=GetAttrProp("_hide_data"))
width = IntItem(_("Width(個數)"), help=_("總共幾個array"), min=1,
default=100).set_prop("display",
hide=GetAttrProp("_hide_size"))
height = IntItem(_("Height(長度)"), help=_("一個array的長度"), min=1,
default=1).set_prop("display",
hide=GetAttrProp("_hide_size"))
class Controlset(DataSet):
Directory = DirectoryItem("Directory",
default=os.path.abspath("../../data/"))
_bt = BeginGroup("Configuration").set_pos(col=0)
Frequency = FloatItem("Frequency", default=21.1,
unit="GHz").set_prop("display", format="%3.1f")
IntegrationTime = FloatItem("Integration time", default=5.,
unit="s").set_prop("display",
format="%3.1f")
BlankTime = IntItem("Blank time", default=5, unit="ms")
Antenna = IntItem("Antenna offset", default=1000, unit="")
NSpec = IntItem("Spectra per file", default=7000, unit="")
_et = EndGroup("Configuration")
class RemoteParameters(ActivableDataSet): #Sequence parameters
# read database to know default directory
db = SqliteDB.DBReader()
directoryPath = DirectoryItem("Seq. dir.", default=db.DefaultDirectory)
first_holo_seq = IntItem(_("First hologram"), default=0, min=0)
# last holo seq is defined with framesNumberProp that is modified when a
# new directory is choose
last_holo_seq = IntItem(_("Last hologram"), default=0, min=0)
# saveAllStack = ChoiceItem(_("Save All stacks"), [(True, 'Yes'),
# (False, 'False')], default=False)
#create list of choice from database
db = SqliteDB.DBReader()
choice = db.choiceItemDB()
MODB = ChoiceItem(_("Magnification"), choice).set_prop("display",
callback=None)
class AxisParam(DataSet):
"""Store the parameters to caracterise a measurement axis"""
unit = StringItem("Physical unit", default='')
length = IntItem("Number of point",
default=0,
help="Number of measured point along the axis")
start = FloatItem("Physical start value", default=0)
increment = FloatItem("Physical increment",
default=1,
help="Physical size of a pixel")
scale = None # lazy object, created on demand
def get_length(self):
"""Return the length of the scale"""
return int(self.length)
def get_physical_length(self):
"""Return the physical length of the scale
see self.unit for the unit
"""
return self.length * self.increment
def get_scale(self):
"""Return a vector with all the physical axis values based on start,
length and increment parameters."""
if self.scale is None: # create lazy object
self.update_scale()
return self.scale
def update_scale(self):
"""Update/create a vector with all the physical axis values based on start, resolution and increment parameters."""
self.scale = self.start + arange(self.length) * self.increment
def copy(self):
"""Return a copy of the object"""
return deepcopy(self)
def __len__(self):
return self.get_length()
def __getitem__(self, key):
if 'physical length' == key:
return self.get_physical_length()
elif 'length' == key:
return self.get_length()
elif 'scale' == key:
return self.get_scale()
else:
try:
return getattr(self, key)
except AttributeError:
raise KeyError, _("They are no such attributes %s.") % key
def __setitem__(self, key, value):
if key in ('scale', 'physical length'):
raise TypeError, _("Not mutable item.")
setattr(self, key, value)
class FitParamDataSet(DataSet):
name = StringItem(_("Name"))
value = FloatItem(_("Value"), default=0.0)
min = FloatItem(_("Min"), default=-1.0)
max = FloatItem(_("Max"), default=1.0).set_pos(col=1)
steps = IntItem(_("Steps"), default=5000)
format = StringItem(_("Format"), default="%.3f").set_pos(col=1)
logscale = BoolItem(_("Logarithmic"), _("Scale"))
unit = StringItem(_("Unit"), default="").set_pos(col=1)
class FilterParam(DataSet):
name = ChoiceItem(_("Filter algorithm"), (
("gaussian_filter", _("gaussian filter")),
("uniform_filter", _("uniform filter")),
("minimum_filter", _("minimum filter")),
("median_filter", _("median filter")),
("maximum_filter", _("maximum filter")),
))
size = IntItem(_("Size or sigma"), min=1, default=5)
class Info(DataSet):
"""Input Info About Data
Please input infomation about the given data:
Data File: Data File to be Converted
SkipRows: Skip how many rows before reading data
Fs: Fs of the data
Lens: Length of the data
Unit: Unit of the data
ExpName: Experiment Name
ExpCount: The counter of the experiment
ChanelNum: The Start of Chanel Number
"""
Fname = FileOpenItem("Data File: ")
SkipRows = IntItem('SkipRows:', min=0, default=0)
Fs = FloatItem('Fs: ', min=0, default=250)
Lens = IntItem('Lens:', min=0, default=0)
Unit = StringItem('Unit:', default='m/ss')
ExpName = StringItem('ExpName', default='Test')
ExpCount = IntItem('ExpCount:', min=1, default=1)
ChanelNum = IntItem('ChanelNum:', min=1, default=1)
class Parameters(DataSet):
ex_mw = StringItem("Excitting Microwave",
default="TCPIP::10.122.7.103::INSTR")
lo_mw = StringItem("LO Microwave",
default="TCPIP::10.122.7.102::INSTR")
me_mw = StringItem("Measurement Microwave",
default="TCPIP::10.122.7.101::INSTR")
awg = StringItem("AWG", default="TCPIP::10.122.7.100::INSTR")
#me_power = FloatItem("Measuerment Power (dBm)",
# default=10, min=-135, max=25, step=0.01, slider=True)
f_range_s = FloatItem("Frequency start (GHz)",
default=9.0,
min=1,
max=20,
step=0.01)
f_range_e = FloatItem("Frequency stop (GHz)",
default=9.04,
min=1,
max=20,
step=0.01).set_pos(col=1)
f_range_n = IntItem("Frequency Num", default=41, min=1,
max=100000).set_pos(col=2)
p_range_s = FloatItem("Power start (dBm)",
default=-30,
min=-130,
max=25,
step=0.01)
p_range_e = FloatItem("Power stop (dBm)",
default=10.0,
min=-130,
max=25,
step=0.01).set_pos(col=1)
p_range_n = IntItem("Power Num", default=41, min=1,
max=100000).set_pos(col=2)
npoints = IntItem("Number of points",
default=1000,
min=100,
max=100000)
class CsvParam(DataSet):
_indexprop = GetAttrProp("indextype")
indextype = ChoiceItem(
"Index Column", (("A", "None"), ("B", "Input value below")),
help="If None, no need to input index column").set_prop(
"display", store=_indexprop)
indexCol = IntItem("", default=0, min=0,
help="first column is 0").set_prop(
"display",
active=FuncProp(_indexprop,
lambda x: x == 'B'))
_headerprop = GetAttrProp("headertype")
headertype = ChoiceItem(
"Header Row", (("A", "None"), ("B", "Input value below")),
help="If None, no need to input index column").set_prop(
"display", store=_headerprop)
headerRow = IntItem("", default=0, min=0,
help="first column is 0").set_prop(
"display",
active=FuncProp(_headerprop,
lambda x: x == 'B'))
class AutoFitParam(DataSet):
xmin = FloatItem("xmin")
xmax = FloatItem("xmax")
method = ChoiceItem(_("Method"), [
("simplex", "Simplex"),
("powel", "Powel"),
("bfgs", "BFGS"),
("l_bfgs_b", "L-BFGS-B"),
("cg", _("Conjugate Gradient")),
("ncg", _("Newton Conjugate Gradient")),
("lq", _("Least squares")),
],
default="lq")
maxfun = IntItem(
"maxfun",
default=20000,
help=
_("Maximum of function evaluation. for simplex, powel, least squares, cg, bfgs, l_bfgs_b"
))
maxiter = IntItem(
"maxiter",
default=20000,
help=
_("Maximum of iterations. for simplex, powel, least squares, cg, bfgs, l_bfgs_b"
))
err_norm = StringItem("enorm",
default='2.0',
help=_("for simplex, powel, cg and bfgs norm used "
"by the error function"))
xtol = FloatItem("xtol",
default=0.0001,
help=_("for simplex, powel, least squares"))
ftol = FloatItem("ftol",
default=0.0001,
help=_("for simplex, powel, least squares"))
gtol = FloatItem("gtol", default=0.0001, help=_("for cg, bfgs"))
norm = StringItem("norm",
default="inf",
help=_("for cg, bfgs. inf is max, -inf is min"))
class FindData(DataSet):
g1 = BeginGroup('Data Upload')
fname = FileOpenItem('Open File', ('xlsx', 'xls'))
_g1 = EndGroup('Data Upload')
g2 = BeginGroup('Optional Parameters')
enable = BoolItem('activate optional parameters',
default=False).set_prop('display', store=prop1)
rescore = IntItem('# of choices to score').set_prop('display', active=prop1)
rescore6 = BoolItem('rescore 6 minutes', default=False)
rescore12 = BoolItem('rescore 12 minutes', default=False)
_g2 = EndGroup('Optional Parameters')
save = FileSaveItem('create results', formats='xlsx')
class TaurusTrendParam(DataSet):
model = StringItem("Model", default="")
maxBufferSize = IntItem("Buffer Size", default=16384)
useArchiving = BoolItem("Use Archiving", default=False)
stackMode = ChoiceItem("Stack Mode", [("datetime", "Absolute Time"),
("timedelta", "Relative Time"),
("event", "Event")],
default="datetime")
def update_param(self, curve):
self.model.update_param(curve.taurusparam.model)
self.maxBufferSize.update_param(curve.taurusparam.maxBufferSize)
self.stackMode.update_param(curve.taurusparam.stackMode)
def update_curve(self, curve):
curve.setModel(self.model)
curve.setBufferSize(self.maxBufferSize)
class ModifyParam(DataSet):
"""
Modification Parameter Setting
Linear: New Array = a * Original Array + b <br>
Moving Average: Decide point number(to get average, or regard it as sinc filter)
"""
text = StringItem("New Name", default="Modify_" + name)
a = FloatItem("a :", default=1.0)
b = FloatItem("b :", default=0.0)
_en = GetAttrProp("enable")
enable = BoolItem(
"Enable Moving Average",
help="If disabled, the following parameters will be ignored",
default=False).set_prop("display", store=_en)
points = IntItem("Window", default=5,
min=1).set_prop("display",
active=FuncProp(_en, lambda x: x))
class TestParameters(DataSet):
"""
DataSet test
The following text is the DataSet 'comment': <br>Plain text or
<b>rich text<sup>2</sup></b> are both supported,
as well as special characters (α, β, γ, δ, ...)
"""
dir = DirectoryItem("Directory", TEMPDIR)
fname = FileOpenItem("Open file", ("csv", "eta"), FILE_CSV.name)
fnames = FilesOpenItem("Open files", "csv", FILE_CSV.name)
fname_s = FileSaveItem("Save file", "eta", FILE_ETA.name)
string = StringItem("String")
text = TextItem("Text")
float_slider = FloatItem("Float (with slider)",
default=0.5,
min=0,
max=1,
step=0.01,
slider=True)
integer = IntItem("Integer", default=5, min=3, max=16,
slider=True).set_pos(col=1)
dtime = DateTimeItem("Date/time", default=datetime.datetime(2010, 10, 10))
date = DateItem("Date", default=datetime.date(2010, 10, 10)).set_pos(col=1)
bool1 = BoolItem("Boolean option without label")
bool2 = BoolItem("Boolean option with label", "Label")
_bg = BeginGroup("A sub group")
color = ColorItem("Color", default="red")
choice = ChoiceItem("Single choice 1", [('16', "first choice"),
('32', "second choice"),
('64', "third choice")])
mchoice2 = ImageChoiceItem("Single choice 2",
[("rect", "first choice", "gif.png"),
("ell", "second choice", "txt.png"),
("qcq", "third choice", "file.png")])
_eg = EndGroup("A sub group")
floatarray = FloatArrayItem("Float array",
default=np.ones((50, 5), float),
format=" %.2e ").set_pos(col=1)
mchoice3 = MultipleChoiceItem("MC type 1",
[str(i) for i in range(12)]).horizontal(4)
mchoice1 = MultipleChoiceItem(
"MC type 2", ["first choice", "second choice", "third choice"
]).vertical(1).set_pos(col=1)
class TestParameters(DataSet):
"""
PPT Converter
Choose according to your function
"""
#fname = FileOpenItem("Open file", "ppt", FILE_ppt.name)
#_eg = StartGroup("Convert_Mode")
PPTnames = FilesOpenItem("Open_files", ("ppt", "pptx"),
help="Input your PPT file") ##list
outpath = DirectoryItem("OutDirectory",
default=PPTnames._props["data"]["basedir"],
help="default is the PPt path")
outname = StringItem('Outlabel', help="default is the ppt name ")
dtime = DateTimeItem("Date/time", default=datetime.datetime(
2017, 10, 10)) #text = TextItem("Text")
g1 = BeginGroup("Convert_Mode")
# outMode = MultipleChoiceItem("",
# ["Raw", "Resized",
# ],help="(default concated)",default=(1,)).horizontal(1)#.set_pos(col=1)
raw = BoolItem("Raw", default=False, help="normal mode").set_pos(col=0)
_prop = GetAttrProp("resize")
#choice = ChoiceItem('Choice', choices).set_prop("display", store=_prop)
resize = BoolItem("Resized", default=True,
help="normal mode").set_pos(col=1).set_prop("display",
store=_prop)
newsize = IntItem("NewSize(width_dpi)",
default=709,
min=0,
help="if changed,dpi",
max=2160,
slider=True).set_pos(col=2).set_prop(
"display",
active=FuncProp(_prop, lambda x: x)).set_pos(col=2)
_g1 = EndGroup("Convert_Mode")
outFormat = MultipleChoiceItem(
"OuterForm",
["Pngs", "Con_Pngs", "PDF", "HTML", "XML"],
help="(default all)",
default=(0, 1, 2, 3, 4),
).horizontal(1)
class ImageParam(DataSet):
title = StringItem(_("Title"))
width = IntItem(_("Width"), help=_("Image width (pixels)"))
height = IntItem(_("Height"), help=_("Image height (pixels)"))
class Parameters(DataSet):
float1 = FloatItem("float #1", min=1, max=250, help="height in cm")
float2 = FloatItem("float #2", min=1, max=250, help="width in cm")
number = IntItem("number", min=3, max=20)
class ReconstructionParameters(ActivableDataSet): #Preprocessing Parameters
#events associated to different parameters
def _threshold_change(self, item, value):
if self.threshold_change_cb is not None:
self.threshold_change_cb()
def set_threshold_change_cb(self, cb):
self.threshold_change_cb = cb
def _unwrap_change(self, item, value):
if self.unwrap_change_cb is not None:
self.unwrap_change_cb()
def set_unwrap_change_cb(self, cb):
self.unwrap_change_cb = cb
def _use_filter_size_aberration_change(self, item, value):
if self.use_filter_size_aberration_change_cb is not None:
self.use_filter_size_aberration_change_cb()
def set_use_filter_size_aberration_change_cb(self, cb):
self.use_filter_size_aberration_change_cb = cb
def _use_filter_amplitude_change(self, item, value):
if self.use_filter_amplitude_change_cb is not None:
self.use_filter_amplitude_change_cb()
def set_use_filter_amplitude_change_cb(self, cb):
self.use_filter_amplitude_change_cb = cb
def _filter_size_aberration_change(self, item, value):
if self.filter_size_aberration_change_cb is not None:
self.filter_size_aberration_change_cb()
def set_filter_size_aberration_change_cb(self, cb):
self.filter_size_aberration_change_cb = cb
def _bool_deriv_change(self, item, value):
if self.bool_deriv_change_cb is not None:
self.bool_deriv_change_cb()
def set_bool_deriv_change_cb(self, cb):
self.bool_deriv_change_cb = cb
def _XYImport_change(self, item, value):
if self.XYImport_change_cb is not None:
self.XYImport_change_cb()
def set_XYImport_change_cb(self, cb):
self.XYImport_change_cb = cb
def _bool_ThresholdMethod_change(self, item, value):
if self.bool_ThresholdMethod_change_cb is not None:
self.bool_ThresholdMethod_change_cb()
def set_bool_ThresholdMethod_change_cb(self, cb):
self.bool_ThresholdMethod_change_cb = cb
def _particlecontrast_change(self, item, value):
if self.particlecontrast_change_cb is not None:
self.particlecontrast_change_cb()
def set_particlecontrast_change_cb(self, cb):
self.particlecontrast_change_cb = cb
def _it_eros_change(self, item, value):
if self.it_eros_change_cb is not None:
self.it_eros_change_cb()
def set_it_eros_change_cb(self, cb):
self.it_eros_change_cb = cb
def _it_dil_change(self, item, value):
if self.it_dil_change_cb is not None:
self.it_dil_change_cb()
def set_it_dil_change_cb(self, cb):
self.it_dil_change_cb = cb
def _XYImportFilePath_change(self, item, value):
if self.XYImportFilePath_change_cb is not None:
self.XYImportFilePath_change_cb()
def set_XYImportFilePath_change_cb(self, cb):
self.XYImportFilePath_change_cb = cb
#Initialization of buttons in different groups
unwrap = ChoiceItem(_("Unwrap"), [(True, 'Yes'), (False, 'False')],
default=False).set_prop("display",
callback=_unwrap_change)
unwrap_change_cb = None
#Group Filtering
Filtering_group = BeginGroup("Filtering")
use_filter_size_aberration = ChoiceItem(
_("Use uniform filter for aberration compensation"),
[(True, 'Yes'), (False, 'False')],
default=False).set_prop("display",
callback=_use_filter_size_aberration_change)
use_filter_size_aberration_change_cb = None
filter_size_aberration = IntItem(
_("Filter size (aberr. compens.)"),
default=100,
slider=False,
unit='pixels',
min=1,
max=300).set_prop("display", callback=_filter_size_aberration_change)
filter_size_aberration_change_cb = None
use_filter_amplitude = ChoiceItem(
_("Use amplitude Filter"), [(False, 'No'), (True, 'Yes')],
default=False).set_prop("display",
callback=_use_filter_amplitude_change)
use_filter_amplitude_change_cb = None
def _adjust_aberration_change(self, item, value, parent):
if self.adjust_aberration_change_cb is not None:
self.adjust_aberration_change_cb()
def set_adjust_aberration_change_cb(self, cb):
self.adjust_aberration_change_cb = cb
aberration_perform = ButtonItem("Adjust Filtering",
callback=_adjust_aberration_change)
adjust_aberration_change_cb = None
def _bcgRemove_change(self, item, value):
if self.bcgRemove_change_cb is not None:
self.bcgRemove_change_cb()
def set_bcgRemove_change_cb(self, cb):
self.bcgRemove_change_cb = cb
def _bcgCompute_change(self, item, value, parent):
if self.bcgCompute_change_cb is not None:
self.bcgCompute_change_cb()
def set_bcgCompute_change_cb(self, cb):
self.bcgCompute_change_cb = cb
_Filtering_group = EndGroup("Filtering")
Filtering_group = BeginGroup("Background")
bcgRemove = ChoiceItem(_("Background remove"), [(True, 'Yes'),
(False, 'False')],
default=False).set_prop("display",
callback=_bcgRemove_change)
bcgRemove_change_cb = None
bcgCompute = ButtonItem("Compute Background", callback=_bcgCompute_change)
bcgCompute_change_cb = None
_Filtering_group = EndGroup("Background")
#Import xy (enable/disable importation of file or detection parameters)
propImport = GetAttrProp(
"XYImport") # to enable/disable Import XY File path if True or False
XYImport = ChoiceItem(_("Import XY Position"), [(False, 'No'),
(True, 'Yes')],
default=False).set_prop("display",
callback=_XYImport_change,
store=propImport)
XYImport_change_cb = None
XYImportFilePath = FileOpenItem(
"File Path",
formats='txt',
default=r'D:\Mesures\3DTracking_Donner\15.05.03_46.68\Sequence_import_xy'
).set_prop("display",
active=FuncProp(propImport, lambda x: x == True),
callback=_XYImportFilePath_change)
XYImportFilePath_change_cb = None
#Group Detection parameters
Detection_group = BeginGroup("Detection XY").set_prop(
"display", active=FuncProp(propImport, lambda x: x == False))
bool_deriv = ChoiceItem(_("Derive"), [(True, 'Yes'), (False, 'No')],
default=False).set_prop(
"display", callback=_bool_deriv_change)
bool_deriv_change_cb = None
particlecontrast = ChoiceItem(_("Particle Contrast"),
[(0, 'Positive'), (1, 'Negative')]).set_prop(
"display",
callback=_particlecontrast_change)
particlecontrast_change_cb = None
threshold = FloatItem(
("Threshold"),
default=10.,
slider=False,
min=0.,
max=255,
step=1,
).set_prop("display", callback=_threshold_change)
threshold_change_cb = None
bool_ThresholdMethod = ChoiceItem(
_("Threshold Method"), [(-2, 'No threshold/max value'), (-1, 'Manual'),
(0, 'Huang'), (2, 'Intermodes'),
(3, 'ReniEntropy'), (4, 'Triangle'),
(5, 'Otsu'), (6, 'Yen'), (7, 'Moments'),
(8, 'IsoData'), (9, 'Peak Detection')],
default=0).set_prop("display", callback=_bool_ThresholdMethod_change)
bool_ThresholdMethod_change_cb = None
#Threshold method
#-1=manual
#0=Huang
#1=Intermodes
#2=MaxEntropy
#3=ReniEntropy
#4=Triangle
#5=Otsu
#6=Yen
#7=Moments
#8=IsoData
#9=Peak Detection
#erosion and dilatation iterations
it_eros = IntItem(_("Iter. erosion"),
default=1,
slider=False,
unit='pixels',
min=0).set_prop("display", callback=_it_eros_change)
it_eros_change_cb = None
it_dil = IntItem(_("Iter. dilatation"),
default=4,
slider=False,
unit='pixels',
min=0).set_prop("display", callback=_it_dil_change)
it_dil_change_cb = None
def _adjust_detection_change(self, item, value, parent):
if self.adjust_detection_change_cb is not None:
self.adjust_detection_change_cb()
def set_adjust_detection_change_cb(self, cb):
self.adjust_detection_change_cb = cb
detection_perform = ButtonItem("Adjust Detection",
callback=_adjust_detection_change)
adjust_detection_change_cb = None
_Detection_group = EndGroup("Detection XY")
class HolderParameters(DataSet): #Focus parameters
#Define central rec dis button and associated event when changed
def _central_rec_dist_change(self, item, value):
if self.central_rec_dist_change_cb is not None:
self.central_rec_dist_change_cb()
def set_central_rec_dist_change_cb(self, cb):
self.central_rec_dist_change_cb = cb
central_rec_dist = FloatItem(_("Central Rec. dist."),
default=-1.3,
min=-100.,
max=100,
unit='cm').set_prop(
"display",
callback=_central_rec_dist_change)
central_rec_dist_change_cb = None
def _range_rec_dist_change(self, item, value):
if self.range_rec_dist_change_cb is not None:
self.range_rec_dist_change_cb()
def set_range_rec_dist_change_cb(self, cb):
self.range_rec_dist_change_cb = cb
range_rec_dist = FloatItem(_("Range Rec. dist."),
default=1,
min=-100.,
max=100,
unit='cm').set_prop(
"display", callback=_range_rec_dist_change)
range_rec_dist_change_cb = None
def _ratio_DOF_change(self, item, value):
if self.ratio_DOF_change_cb is not None:
self.ratio_DOF_change_cb()
def set_ratio_DOF_change_cb(self, cb):
self.ratio_DOF_change_cb = cb
ratio_DOF = FloatItem(_("Ratio of DOF"), default=1,
min=0.1).set_prop("display",
callback=_ratio_DOF_change)
ratio_DOF_change_cb = None
samplePlaneStepUM = FloatItem(_("Step size in sample plane"),
default=0,
unit='um').set_prop("display", active=False)
stackHeightUM = FloatItem(_("Stack Height"), default=0,
unit='um').set_prop("display", active=False)
#Define roi sample button and associated event
def _roi_sample_change(self, item, value):
if self.roi_sample_change_cb is not None:
self.roi_sample_change_cb()
def set_roi_sample_change_cb(self, cb):
self.roi_sample_change_cb = cb
roi_sample = IntItem(_("ROI size (to find focus)"),
default=30,
min=1,
unit='pixels').set_prop("display",
callback=_roi_sample_change)
roi_sample_change_cb = None
#Define default focus method and associated event when changed
def _focusMethod_change(self, item, value):
if self.focusMethod_change_cb is not None:
self.focusMethod_change_cb()
def set_focusMethod_change_cb(self, cb):
self.focusMethod_change_cb = cb
focusMethod = ChoiceItem(_("Focus Method"), [
(0, 'Min amp std'), (1, 'Absolute Min Amp'), (2, 'Absolute Max Phase'),
(3, 'Integral Density'), (4, 'Max phase(valuePos-mean)'),
(5, 'Max std dev'), (6, 'Skewness'), (7, 'Max std from Sobel'),
(8, 'Max std from Sobel on phase image')
]).set_prop("display", callback=_focusMethod_change)
focusMethod_change_cb = None
#Event to adjust the focus detection an init of button
def _adjust_focus_change(self, item, value, parent):
if self.adjust_focus_change_cb is not None:
self.adjust_focus_change_cb()
def set_adjust_focus_change_cb(self, cb):
self.adjust_focus_change_cb = cb
focus_perform = ButtonItem("Adjust Focus Detection",
callback=_adjust_focus_change)
adjust_focus_change_cb = None
class SGParam(DataSet):
num_points = IntItem(_("Number of points"), default=8, min=2)
poly_degree = IntItem(_("Polynom degree"), default=4, min=1)
diff_order = 0
class Parameters(DataSet):
height = FloatItem("Height", min=1, max=250, help="height in cm")
width = FloatItem("Width", min=1, max=250, help="width in cm")
number = IntItem("Number", min=3, max=20)
class ImageParam(DataSet):
#_hide_data = False
#_hide_size = True
#title = StringItem(_("Title"), default=_("Untitled")).set_prop("display", hide=True)
#data = FloatArrayItem(_("Settings")).set_prop("display",
# hide=GetAttrProp("_hide_data"))
_prop = GetAttrProp("otype")
otype = StringItem("Type of data",
default="Unknown").set_prop("display",
store=_prop) #, hide=True)
title = StringItem(_("Title"), default=_("Untitled")).set_prop("display",
hide=True)
_bg = BeginGroup("Range setting")
#feed = ChoiceItem("Feed", [(1, "1"), (2, "2"), (3, "3")]).set_prop("display", active=False)
#section = ChoiceItem("Section", [("Ch0", "0"), ("Ch1", "1"), ("Ch2", "2"),
# ("Ch3", "3")]).set_pos(col=1, colspan=2)
#polar = ChoiceItem("Polar", [(16, "first choice"), (32, "second choice"),
# (64, "third choice")]).set_pos(col=2, colspan=2)
#_prop = GetAttrProp("otype")
#otype = ChoiceItem("Type of data", [("On/Off: off source", "On/Off: off source"), ("OTF", "OTF"), ("Unknown", "Unknown")], default="Unknown").set_prop("display", store=_prop, hide=True)
#otype = StringItem("Type of data", default="Unknown").set_prop("display", store=_prop)#, hide=True)
rangei = IntItem(
_("num. samples begin"),
help=
_("Select a number of samples at the begin of the data to use for the computation"
),
min=0,
default=0).set_prop("display",
active=FuncProp(
_prop, lambda x: x == 'OTF' or x == 'Unknown'))
ranges = IntItem(
_("num. samples end"),
help=
_("Select a number of sameples at the end of the data to use for the computation"
),
min=0,
default=0).set_prop(
"display",
active=FuncProp(_prop,
lambda x: x == 'OTF' or x == 'Unknown')).set_pos(
col=1, colspan=2)
rall = BoolItem(_("All"), default=True).set_pos(col=2, colspan=2).set_prop(
"display",
active=FuncProp(_prop, lambda x: x == 'OTF' or x == 'Unknown'),
hide=True)
excluded = IntItem(
_("Excluded samples"),
help=
_("Select a number of samples to exclude from the computation at the begining and end of the data symmetrically"
),
min=0,
default=0).set_prop("display",
active=FuncProp(
_prop, lambda x: x == 'OTF' or x == 'Unknown'))
eall = BoolItem(_("All"),
default=True).set_pos(col=1, colspan=2).set_prop("display",
hide=True)
_eg = EndGroup("Range setting")
_bg2 = BeginGroup("Fit Range")
frangei = IntItem(
_("intitial freq sample"),
help=_("Select the first freq sample to use for the fit computation"),
min=0,
default=0)
franges = IntItem(
_("last freq sample"),
help=
_("Select the last freq sample to use for the fit computation (if 0 take max)"
),
min=0,
default=0).set_pos(col=1, colspan=1)
_eg2 = EndGroup("Fit Range")
#selected = BoolItem(_("Selected"), default=True)
selected = ChoiceItem("Selected", [(True, "Yes"), (False, "No")],
default=True).set_prop("display", hide=True)