revert changes

tsvtools/cli.py

@@ -107,16 +107,7 @@ def page2tsv(page_xml_file, tsv_out_file, purpose, image_url, ner_rest_endpoint,
     for region_idx, region in enumerate(pcgts.get_Page().get_AllRegions(classes=['Text'], order='reading-order')):
         for text_line in region.get_TextLine():
 
-            # points = [int(scale_factor * float(pos)) for coords in text_line.get_Coords() for p in
-            #          coords.attrib['points'].split(' ') for pos in p.split(',')]
-
-            points = [int(scale_factor * float(pos)) for pos in text_line.get_Coords().points]
-
-            x_points, y_points = points[0::2], points[1::2]
-
-            left, right, top, bottom = min(x_points), max(x_points), min(y_points), max(y_points)
-
-            # left, top, right, bottom = [int(scale_factor * x) for x in bbox_from_points(text_line.get_Coords().points)]
+            left, top, right, bottom = [int(scale_factor * x) for x in bbox_from_points(text_line.get_Coords().points)]
 
             if min_confidence is not None and max_confidence is not None:
                 conf = np.max([textequiv.conf for textequiv in text_line.get_TextEquiv()])
@@ -129,17 +120,7 @@ def page2tsv(page_xml_file, tsv_out_file, purpose, image_url, ner_rest_endpoint,
                 for text_equiv in word.get_TextEquiv():
                     # transform OCR coordinates using `scale_factor` to derive
                     # correct coordinates for the web presentation image
-
-                    # points = [int(scale_factor * float(pos)) for coords in text_equiv.get_Coords() for p in
-                    #           coords.attrib['points'].split(' ') for pos in p.split(',')]
-
-                    points = [int(scale_factor * float(pos)) for pos in text_equiv.get_Coords().points]
-
-                    x_points, y_points = points[0::2], points[1::2]
-
-                    left, right, top, bottom = min(x_points), max(x_points), min(y_points), max(y_points)
-
-                    # left, top, right, bottom = [int(scale_factor * x) for x in bbox_from_points(word.get_Coords().points)]
+                    left, top, right, bottom = [int(scale_factor * x) for x in bbox_from_points(word.get_Coords().points)]
 
                     tsv.append((region_idx, len(line_info) - 1, left + (right - left) / 2.0,
                                 text_equiv.get_Unicode(), len(urls), left, right, top, bottom, text_line.id))