Closed github-actions[bot] closed 1 year ago
https://github.com/simoneponcioni/spline-mesher/blob/3c9d558608e9e291a52501b64106c622945bd7a1/src/spline_mesher/spline-volume-creation.py#L701
# lines_s, points, curve_loop_tag = self.surfaces_gmsh(x=xnew, y=ynew, z=z_pos) # if self.show_plots is not False: # fig = self.plotly_add_traces( # fig, xy_sorted_closed, x_mahalanobis, y_mahalanobis, xnew, ynew # ) # else: # fig = None # return curve_loop_tag, lines_s, points, dstack # commeented just for removing problems with pylint, to be reactivated def volume_splines(self): contour_ext_fig = [] contour_int_fig = [] contour_ext_fig, contour_int_fig = self.binary_threshold( contour_ext_fig, contour_int_fig, img_path=self.img_path ) self.slice_index = np.linspace( 1, len(contour_ext_fig[0, 0, :]) - 1, self.SLICING_COEFFICIENT, dtype=int ) if self.show_plots is True: fig = go.Figure(layout=self.layout) else: print(f"Volume_splines, show_plots:\t{self.show_plots}") fig = None # fmt: off if self.phases >= 1: img_contours_ext = sitk.GetImageFromArray(contour_ext_fig, isVector=True) image_data_ext = np.transpose(sitk.GetArrayViewFromImage(img_contours_ext), [2, 1, 0]) if self.phases == 2: img_contours_int = sitk.GetImageFromArray(contour_int_fig, isVector=True) image_data_int = np.transpose(sitk.GetArrayViewFromImage(img_contours_int), [2, 1, 0]) contour_ext = [] contour_int = [] for i, _slice in enumerate(self.slice_index): print(f"Slice:\t{_slice}") if self.phases >= 1: image_slice_ext = image_data_ext[_slice, :, :][::-1, ::-1] # TODO: check if ::-1 is still needed (minus sign) original, cortical_ext_x, cortical_ext_y = self.sort_surface(image_slice_ext) z = np.ones(len(cortical_ext_x)) * (self.spacing[0]* _slice) contour_ext = np.append(contour_ext, np.c_[cortical_ext_x, cortical_ext_y, z]) if self.phases == 1: if self.show_plots is True: fig = self.plotly_add_traces( fig, original, np.c_[contour_ext[:, 0], contour_ext[:, 1]] ) else: fig = None else: print(f"Phases is not >= 1: {self.phases}") if self.phases == 2: image_slice_int = image_data_int[_slice, :, :][::-1, ::-1] # TODO: check if ::-1 is still needed (minus sign) original, cortical_int_x, cortical_int_y = self.sort_surface(image_slice_int) contour_int = np.append(contour_int, np.c_[cortical_int_x, cortical_int_y, z]) if self.phases == 2: if self.show_plots is True: fig = self.plotly_add_traces( fig, original, np.c_[cortical_int_x, cortical_int_y, z] ) else: fig = None else: print(f"Phases =/= 2: {self.phases}") # fmt: on if self.show_plots is True: self.plotly_makefig(fig) elif self.show_plots is False: fig = None contour_ext = contour_ext.reshape(-1, 3) contour_int = contour_int.reshape(-1, 3) return contour_ext, contour_int def main(): # fmt: off img_basefilename = ["C0002234"] img_basepath = r"/home/simoneponcioni/Documents/01_PHD/03_Methods/Meshing/Meshing/01_AIM"
Remember that when you check this you also need to validate the other issue (when phases==2) a few lines below
https://github.com/simoneponcioni/spline-mesher/blob/3c9d558608e9e291a52501b64106c622945bd7a1/src/spline_mesher/spline-volume-creation.py#L701