Merge remote-tracking branch 'origin/log_error_mon_handle' into log_error_mon_handle

# Conflicts:
#	mantidimaging/gui/windows/operations/presenter.py

Author: ashmeigh

mantidimaging/core/operations/monitor_normalisation/monitor_normalisation.py

@@ -38,6 +38,7 @@ def filter_func(images: ImageStack, progress=None) -> ImageStack:
         """
         :return: The ImageStack object which has been normalised.
         """
+
         if images.num_projections == 1:
             # we can't really compute the preview as the image stack copy
             # passed in doesn't have the logfile in it

mantidimaging/gui/windows/operations/presenter.py

@@ -275,15 +275,12 @@ def _post_filter(self, updated_stacks: list[ImageStack], task):
                     # otherwise check with user which one to keep
                     if self.view.safeApply.isChecked():
                         use_new_data = self._wait_for_stack_choice(stack, stack.id)
-                        # if the stack that was kept happened to have a proj180 stack - apply the filter to that too
-                        if self.model.selected_filter.allow_for_180_projection:
-                            # Apply to proj180 synchronously if necessary
-                            if use_new_data and not self.applying_to_all and stack.has_proj180deg():
-                                # Apply to proj180 synchronously - this function is already running async
-                                # and running another async instance causes a race condition in the parallel module
-                                # where the shared data can be removed in middle of the operation of another operation
-                                self._do_apply_filter_sync([stack.proj180deg])
-
+                    # if the stack that was kept happened to have a proj180 stack - then apply the filter to that too
+                    if stack.has_proj180deg() and use_new_data and not self.applying_to_all:
+                        # Apply to proj180 synchronously - this function is already running async
+                        # and running another async instance causes a race condition in the parallel module
+                        # where the shared data can be removed in the middle of the operation of another operation
+                        self._do_apply_filter_sync([stack.proj180deg])
                 if np.any(stack.data < 0):
                     negative_stacks.append(stack)