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 Test(DataSet):
_prop = GetAttrProp("choice")
choice = ChoiceItem('Choice', choices).set_prop("display", store=_prop)
x1 = FloatItem('x1')
x2 = FloatItem('x2').set_prop("display",
active=FuncProp(_prop, lambda x: x == 'B'))
x3 = FloatItem('x3').set_prop("display",
active=FuncProp(_prop, lambda x: x == 'C'))
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 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):
"""
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 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 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)
class TestParameters(DataSet):
"""
PPT_Converter:Based on Glance
Choose according to your demond
"""
def updatedir(self, item, value):
print("\nitem: ", item, "\nvalue:", value)
if self.PPTnames and value[0]:
self.outpath = os.path.split(value[0])[0]
print(os.path.split(value[0]))
if len(value) > 0: #如果只是选择了单个文件
self.outprefix = os.path.basename(value[0]).split('.')[0]
else: #选了多个文件
self.outpath = os.getcwdu()
self.outprefix = None
self.WebTitle = self.outprefix
print("\nitem: ", self.outpath, "\nvalue:", self.WebTitle)
#self.ImagesDirName=str(self.newsize)
# self.htmlTitle=self.outprefix
#fname = FileOpenItem("Open file", "ppt", FILE_ppt.name)
#_eg = StartGroup("Convert_Mode")
g0 = BeginGroup("Select Your PPTs to Manipulate")
PPTnames = FilesOpenItem("OpenPPTs", ("ppt", "pptx"),
help="Select your PPT files",
all_files_first=True).set_prop(
'display', callback=updatedir) ##list
outpath = DirectoryItem(
"OutPath",
help=
"Select the output path.\nDefault is the path where you choose your PPT"
).set_prop('display', active=True)
WebTitle = StringItem(
'HTML/XML Title\n(Glance)',
help=
"The Title of the generated html/xml file.\nDefault is the PPT's filename"
).set_prop('display', active=True)
outprefix = StringItem(
'OutFilePrefix',
help="The prefix of generated file .\nDefault is the ppt name "
).set_prop('display', active=True)
_g0 = EndGroup("Select Your PPTs to Manipulate")
g1 = BeginGroup("Select Your Convert_Mode")
# outMode = MultipleChoiceItem("",
# ["Raw", "Resized",
# ],help="(default concated)",default=(1,)).horizontal(1)#.set_pos(col=1)
raw = BoolItem(
"Raw",
default=False,
help=
"Those Generated Files will Use Pngs Exported from PPT Slides Without any Crop or Resize"
).set_pos(col=0)
_prop = GetAttrProp("resize")
#choice = ChoiceItem('Choice', choices).set_prop("display", store=_prop)
resize = BoolItem(
"Resized",
default=True,
help=
"Means You Want to Resize those Raw Pngs Before Use Them In Your Final Formats\ "
).set_pos(col=1).set_prop("display", store=_prop)
newsize = IntItem("NewSize\n(width_dpi)",
default=709,
min=0,
help="The Value Must be lower than the raw png's Width!",
max=2160,
slider=True).set_prop("display",
active=FuncProp(
_prop, lambda x: x))
ImagesDirName = StringItem(
'ImagesDirName',
help=
"The DirName of Resized Pngs used in Html/Xml/LongPng file.\nDefault is the Png wideth size If You Leave It Empty"
).set_prop('display', active=FuncProp(_prop, lambda x: x))
_g1 = EndGroup("Select Your Convert_Mode")
g2 = BeginGroup("Which Format Do U Want To Generate")
must = BoolItem(
"Pngs",
default=True,
help="You Cannot Remove Pngs If You Want to Get Other Types."
).set_prop("display", active=0).set_pos(col=0)
outFormat = MultipleChoiceItem(
"Optional", ["Long_Png", "PDF", "HTML", "XML"],
help=
"(Default all,But I won't give U the Long_Png with Raw Pngs.\nAnd the 1st choice('Pngs') is default to generate.)",
default=(1, 2, 3)).horizontal(1).set_pos(col=1)
_g2 = EndGroup("Which Format Do U Want To Generate")