Update app_pages/ocr_comparator.py

app_pages/ocr_comparator.py

@@ -498,7 +498,7 @@ def app():
         with st.spinner('Tesseract Text detection in progress ...'):
             tesserocr_boxes_coordinates, tesserocr_status = tesserocr_detect(in_image_path, \
                                                                             _in_list_images[0], \
-                                                                            in_list_params[3])
+                                                                            in_list_params[2]) #in_list_params[3]
             # Visualization
             if tesserocr_status == 'OK':
                 tesserocr_image_detect = draw_detected(_in_list_images[0],tesserocr_boxes_coordinates,\
@@ -620,7 +620,8 @@ def app():
         # Recognize with Tesseract
         with st.spinner('Tesseract Text recognition in progress ...'):
             out_df_results_tesseract, status_tesseract = \
-            tesserocr_recog(in_image_cv, in_list_dict_params[3], len(list_cropped_images))
+            #tesserocr_recog(in_image_cv, in_list_dict_params[3], len(list_cropped_images))
+            tesserocr_recog(in_image_cv, in_list_dict_params[2], len(list_cropped_images))
         ##
 
         # Create results data frame
@@ -978,8 +979,10 @@ def app():
     ppocr_lang = list_dict_lang[1][ppocr_key_lang]
     #mmocr_key_lang = lang_col[2].selectbox(reader_type_list[2]+" :", list_dict_lang[2].keys(), 0)
     #mmocr_lang = list_dict_lang[2][mmocr_key_lang]
-    tesserocr_key_lang = lang_col[3].selectbox(reader_type_list[3]+" :", list_dict_lang[3].keys(), 35)
-    tesserocr_lang = list_dict_lang[3][tesserocr_key_lang]
+    #tesserocr_key_lang = lang_col[3].selectbox(reader_type_list[3]+" :", list_dict_lang[3].keys(), 35)
+    #tesserocr_lang = list_dict_lang[3][tesserocr_key_lang]
+    tesserocr_key_lang = lang_col[2].selectbox(reader_type_list[2]+" :", list_dict_lang[2].keys(), 35)
+    tesserocr_lang = list_dict_lang[2][tesserocr_key_lang]
 
     st.markdown("#### Choose picture:")
     cols_pict = st.columns([1, 2])