[core][normalization] clamp manual ROI if / when necessary

tomwer/core/process/reconstruction/normalization/normalization.py

@@ -197,6 +197,11 @@ class IntensityNormalizationProcess(SingleProcess, SuperviseProcess):
             start_y = int(start_y)
             end_x = int(end_x)
             end_y = int(end_y)
+        # clamp ROI with 0 border
+        start_x = max(0, start_x)
+        start_y = max(0, start_y)
+        end_x = max(0, end_x)
+        end_y = max(0, end_y)
         scan = dataset_identifier.recreate_dataset()
         projections = scan.projections
         if calc_area is _CalculationArea.VOLUME:
@@ -244,6 +249,13 @@ class IntensityNormalizationProcess(SingleProcess, SuperviseProcess):
 
                 append_url(url)
                 data = silx.io.get_data(url)
+                if data.ndim < 2:
+                    raise ValueError("data is expected to be at least 2D")
+                # clamp ROI with frame size
+                start_x = min(data.shape[-1], start_x)
+                start_y = min(data.shape[-2], start_y)
+                end_x = min(data.shape[-1], end_x)
+                end_y = min(data.shape[-2], end_y)
 
                 def retrieve_data_proj_indexes(url_):
                     urls = []