issue raised by Clemens, strong erosion causing

qurator/eynollah/eynollah.py

@@ -1073,8 +1073,9 @@ class Eynollah:
         poly.put(poly_sub)
         box_sub.put(boxes_sub_new)
 
-    def get_regions_from_xy_2models(self,img,is_image_enhanced):
+    def get_regions_from_xy_2models(self,img,is_image_enhanced, num_col_classifier):
         self.logger.debug("enter get_regions_from_xy_2models")
+        erosion_hurts = False
         img_org = np.copy(img)
         img_height_h = img_org.shape[0]
         img_width_h = img_org.shape[1]
@@ -1094,6 +1095,13 @@ class Eynollah:
         prediction_regions_org_y = prediction_regions_org_y[:,:,0]
         mask_zeros_y = (prediction_regions_org_y[:,:]==0)*1
         
+        img_only_regions_with_sep = ( (prediction_regions_org_y[:,:] != 3) & (prediction_regions_org_y[:,:] != 0) )*1
+        img_only_regions_with_sep = img_only_regions_with_sep.astype(np.uint8)
+        
+        try:
+            img_only_regions = cv2.erode(img_only_regions_with_sep[:,:], KERNEL, iterations=6)
+            _, _ = find_num_col(img_only_regions, multiplier=6.0)
+            
             img = resize_image(img_org, int(img_org.shape[0]), int(img_org.shape[1]*(1.2 if is_image_enhanced else 1)))
 
             prediction_regions_org = self.do_prediction(True, img, model_region)
@@ -1156,7 +1164,49 @@ class Eynollah:
 
 
             K.clear_session()
-        return text_regions_p_true
+            return text_regions_p_true, erosion_hurts
+        except:
+            
+            img = resize_image(img_org, int(img_org.shape[0]*1), int(img_org.shape[1]*1))
+            
+            prediction_regions_org = self.do_prediction(True, img, model_region)
+            
+            prediction_regions_org = resize_image(prediction_regions_org, img_height_h, img_width_h )
+            
+            prediction_regions_org = prediction_regions_org[:,:,0]
+            
+            prediction_regions_org[(prediction_regions_org[:,:] == 1) & (mask_zeros_y[:,:] == 1)]=0
+            session_region.close()
+            del model_region
+            del session_region
+            gc.collect()
+            
+            
+            
+            
+            mask_lines_only = (prediction_regions_org[:,:] ==3)*1
+            
+            mask_texts_only = (prediction_regions_org[:,:] ==1)*1
+            
+            mask_images_only=(prediction_regions_org[:,:] ==2)*1
+            
+
+            polygons_of_only_texts = return_contours_of_interested_region(mask_texts_only,1,0.00001)
+            
+            polygons_of_only_lines = return_contours_of_interested_region(mask_lines_only,1,0.00001)
+            
+            
+            text_regions_p_true = np.zeros(prediction_regions_org.shape)
+            
+            text_regions_p_true = cv2.fillPoly(text_regions_p_true, pts = polygons_of_only_lines, color=(3,3,3))
+            
+            text_regions_p_true[:,:][mask_images_only[:,:] == 1] = 2
+            
+            text_regions_p_true = cv2.fillPoly(text_regions_p_true, pts = polygons_of_only_texts, color=(1,1,1))
+            
+            erosion_hurts = True
+            K.clear_session()
+            return text_regions_p_true, erosion_hurts
 
     def do_order_of_regions_full_layout(self, contours_only_text_parent, contours_only_text_parent_h, boxes, textline_mask_tot):
         self.logger.debug("enter do_order_of_regions_full_layout")
@@ -1406,7 +1456,7 @@ class Eynollah:
             return self.do_order_of_regions_full_layout(*args, **kwargs)
         return self.do_order_of_regions_no_full_layout(*args, **kwargs)
 
-    def run_graphics_and_columns(self, text_regions_p_1, num_col_classifier, num_column_is_classified):
+    def run_graphics_and_columns(self, text_regions_p_1, num_col_classifier, num_column_is_classified, erosion_hurts):
         img_g = self.imread(grayscale=True, uint8=True)
 
         img_g3 = np.zeros((img_g.shape[0], img_g.shape[1], 3))
@@ -1427,7 +1477,14 @@ class Eynollah:
         mask_lines = mask_lines.astype(np.uint8)
         img_only_regions_with_sep = ((text_regions_p_1[:, :] != 3) & (text_regions_p_1[:, :] != 0)) * 1
         img_only_regions_with_sep = img_only_regions_with_sep.astype(np.uint8)
-        img_only_regions = cv2.erode(img_only_regions_with_sep[:, :], KERNEL, iterations=6)
+        
+        
+        if erosion_hurts:
+            img_only_regions = np.copy(img_only_regions_with_sep[:,:])
+        else:
+            img_only_regions = cv2.erode(img_only_regions_with_sep[:,:], KERNEL, iterations=6)
+            
+        
         try:
             num_col, _ = find_num_col(img_only_regions, multiplier=6.0)
             num_col = num_col + 1
@@ -1628,12 +1685,12 @@ class Eynollah:
         self.logger.info("Enhancing took %ss ", str(time.time() - t0))
 
         t1 = time.time()
-        text_regions_p_1 = self.get_regions_from_xy_2models(img_res, is_image_enhanced)
+        text_regions_p_1 ,erosion_hurts = self.get_regions_from_xy_2models(img_res, is_image_enhanced, num_col_classifier)
         self.logger.info("Textregion detection took %ss ", str(time.time() - t1))
 
         t1 = time.time()
         num_col, num_col_classifier, img_only_regions, page_coord, image_page, mask_images, mask_lines, text_regions_p_1, cont_page = \
-                self.run_graphics_and_columns(text_regions_p_1, num_col_classifier, num_column_is_classified)
+                self.run_graphics_and_columns(text_regions_p_1, num_col_classifier, num_column_is_classified, erosion_hurts)
         self.logger.info("Graphics detection took %ss ", str(time.time() - t1))
         self.logger.info('cont_page %s', cont_page)