def updateColprofile(self):
cp = self.calculate_col_profile()
self.cp_data = cp
self.cp_curve.setData(y=cp)
if self.gaussian:
#y_fit = gaussian_fit(self.cols_array, cp)
if not self.fit_roi_only:
y_fit = gaussian_fit(self.cols_array, cp)
if not y_fit[1]: # not estimate
self.cp_gaussian.setPen(qualitative_colors[0])
else:
self.cp_gaussian.setPen(grey)
self.cp_gaussian.setData(y=y_fit[0])
else:
x0 = self.x_int_lims[0]
x1 = self.x_int_lims[1]
y_fit = gaussian_fit(self.cols_array[x0:x1], cp[x0:x1])
if not y_fit[1]: # not estimate
self.cp_gaussian.setPen(qualitative_colors[0])
else:
self.cp_gaussian.setPen(grey)
self.cp_gaussian.setData(x=self.cols_array[x0:x1], y=y_fit[0])
#self.cp_gaussian.setData(y=y_fit[0])
self.scwin.feedData(np.array([y_fit[2][0], y_fit[2][1]]),
data_slice=[0, 2],
count=False)
def updateRowprofile(self):
rp = self.calculate_row_profile()
self.rp_data = rp
self.rp_curve.setData(x=rp, y=self.rows_array)
if self.gaussian:
#x_fit = gaussian_fit(self.rows_array, rp)
#print("Row Mean: ", x_fit[2][0])
if not self.fit_roi_only:
x_fit = gaussian_fit(self.rows_array, rp)
if not x_fit[1]: # not estimate
self.rp_gaussian.setPen(qualitative_colors[0])
else:
self.rp_gaussian.setPen(grey)
self.rp_gaussian.setData(x=x_fit[0], y=self.rows_array)
else:
y0 = self.y_int_lims[0]
y1 = self.y_int_lims[1]
x_fit = gaussian_fit(self.rows_array[y0:y1], rp[y0:y1])
if not x_fit[1]: # not estimate
self.rp_gaussian.setPen(qualitative_colors[0])
else:
self.rp_gaussian.setPen(grey)
self.rp_gaussian.setData(x=x_fit[0], y=self.rows_array[y0:y1])
#self.rp_gaussian.setData(x=x_fit[0], y=self.rows_array)
self.scwin.feedData(np.array([x_fit[2][0], x_fit[2][1]]),
data_slice=[2, 4])
def toggle_gaussian(self):
self.gaussian = not self.gaussian
if self.gaussian:
cp = self.calculate_col_profile()
if not self.fit_roi_only:
y_fit = gaussian_fit(self.cols_array, cp)
cp_gaussian = self.cp_plot.plot(x=self.cols_array, y=y_fit[0])
else:
x0 = self.x_int_lims[0]
x1 = self.x_int_lims[1]
y_fit = gaussian_fit(self.cols_array[x0:x1], cp[x0:x1])
cp_gaussian = self.cp_plot.plot(x=self.cols_array[x0:x1],
y=y_fit[0])
self.cp_gaussian = cp_gaussian
rp = self.calculate_row_profile()
if not self.fit_roi_only:
x_fit = gaussian_fit(self.rows_array, rp)
rp_gaussian = self.rp_plot.plot(x=x_fit[0], y=self.rows_array)
else:
y0 = self.y_int_lims[0]
y1 = self.y_int_lims[1]
x_fit = gaussian_fit(self.rows_array[y0:y1], rp[y0:y1])
rp_gaussian = self.rp_plot.plot(x=x_fit[0],
y=self.rows_array[y0:y1])
self.rp_gaussian = rp_gaussian
else:
self.cp_gaussian.setData([], [])
self.rp_gaussian.setData([], [])
def toggle_gaussian(self):
self.gaussian = not self.gaussian
if self.gaussian:
cp = self.calculate_col_profile()
y_fit = gaussian_fit(self.cols_array, cp)
cp_gaussian = self.cp_plot.plot(x=self.cols_array, y=y_fit[0])
self.cp_gaussian = cp_gaussian
rp = self.calculate_row_profile()
x_fit = gaussian_fit(self.rows_array, rp)
rp_gaussian = self.rp_plot.plot(x=x_fit[0], y=self.rows_array)
self.rp_gaussian = rp_gaussian
else:
self.cp_gaussian.setData([], [])
self.rp_gaussian.setData([], [])
def updateColprofile(self):
cp = self.calculate_col_profile()
self.cp_curve.setData(y=cp)
if self.gaussian:
y_fit = gaussian_fit(self.cols_array, cp)
if not y_fit[1]: # not estimate
self.cp_gaussian.setPen(qualitative_colors[0])
else:
self.cp_gaussian.setPen(grey)
self.cp_gaussian.setData(y=y_fit[0])
def updateRowprofile(self):
rp = self.calculate_row_profile()
self.rp_curve.setData(x=rp, y=self.rows_array)
if self.gaussian:
x_fit = gaussian_fit(self.rows_array, rp)
if not x_fit[1]: # not estimate
self.rp_gaussian.setPen(qualitative_colors[0])
else:
self.rp_gaussian.setPen(grey)
self.rp_gaussian.setData(x=x_fit[0], y=self.rows_array)