def OnAnalyse(self, evt):
"""
starts actual image analysis
@param evt: incoming event from caller
"""
if self.analysispanel.Validate():
params = self.analysispanel.GetParams()
else:
return
params.update(self.imgpanel.GetParams())
params.update(self.imgconfpanel.GetParams())
### testing if 'cancel' was pressed somewhere or
### errors when converting from string to float while loading (None is returned)
try:
pressures, pressacc, scale, aver = self.GetExtraUserData(
params['fromnames'], len(params['images']))
except (TypeError): # catching type error
return
out, extra_out = features.locate(params)
geometrydata, mesg = analysis.get_geometry(out)
if mesg:
self.OnError(mesg)
return
avergeom = analysis.averageImages(aver, **geometrydata)
geometryframe = geometry.GeometryFrame(self, -1, avergeom)
geometryframe.Show()
tensionframe = tension.TensionsFrame(self, -1, pressures, pressacc,
scale, avergeom)
tensionframe.Show()
evt.Skip()
def OnAnalyse(self, evt):
"""
starts actual image analysis
@param evt: incoming event from caller
"""
if self.analysispanel.Validate():
params = self.analysispanel.GetParams()
else:
return
params.update(self.imgpanel.GetParams())
params.update(self.imgconfpanel.GetParams())
### testing if 'cancel' was pressed somewhere or
### errors when converting from string to float while loading (None is returned)
try:
pressures, pressacc, scale, aver = self.GetExtraUserData(params['fromnames'], len(params['images']))
except(TypeError): # catching type error
return
out, extra_out = features.locate(params)
geometrydata, mesg = analysis.get_geometry(out)
if mesg:
self.OnError(mesg)
return
avergeom = analysis.averageImages(aver, **geometrydata)
geometryframe = geometry.GeometryFrame(self, -1, avergeom)
geometryframe.Show()
tensionframe = tension.TensionsFrame(self, -1, pressures, pressacc, scale, avergeom)
tensionframe.Show()
evt.Skip()
def OnDebugImage(self, evt):
"""
Process only the current image
TODO:process set of images?
and display more additional information on it
"""
imgNo = self.imgpanel.GetImgNo()
if self.analysispanel.Validate():
params = self.analysispanel.GetParams()
else:
return
params.update(self.imgpanel.GetParams())
params.update(self.imgconfpanel.GetParams())
img = params['images'][imgNo - 1]
params['images'] = img.reshape(1, img.shape[0], img.shape[1])
params['extra'] = True
out, extra_out = features.locate(params)
extra_out = extra_out[0]
ImageDebugFrame = debug.ImageDebugFrame(self, -1, img, out, extra_out)
ImageDebugFrame.Show()
def OnDebugImage(self, evt):
"""
Process only the current image
TODO:process set of images?
and display more additional information on it
"""
imgNo = self.imgpanel.GetImgNo()
if self.analysispanel.Validate():
params = self.analysispanel.GetParams()
else:
return
params.update(self.imgpanel.GetParams())
params.update(self.imgconfpanel.GetParams())
img = params['images'][imgNo-1]
params['images'] = img.reshape(1, img.shape[0], img.shape[1])
params['extra'] = True
out, extra_out = features.locate(params)
extra_out = extra_out[0]
ImageDebugFrame = debug.ImageDebugFrame(self, -1, img, out, extra_out)
ImageDebugFrame.Show()
