Add extra demo file

pages/App.py

@@ -443,7 +443,7 @@ def process_detect(in_image_path, _in_list_images, _in_list_readers, in_list_par
         # Visualization
         if easyocr_boxes_coordinates:
             easyocr_image_detect = draw_detected(_in_list_images[0], easyocr_boxes_coordinates, \
-                                                 in_color, 'None', 7)
+                                                 in_color, 'None', 3)
         else:
             easyocr_boxes_coordinates = easyocr_status
     ##
@@ -824,7 +824,7 @@ def draw_reco_images(in_image, in_boxes_coordinates, in_list_texts, in_list_conf
                 cv2.putText(list_reco_images[ind_tessocr], \
                             in_df_results_tesseract.iloc[num]['text'], \
                             (box[0][0],int(np.round((box[0][1]+box[2][1])/2,0))), \
-                            cv2.FONT_HERSHEY_DUPLEX, in_font_scale, text_color, 4)
+                            cv2.FONT_HERSHEY_DUPLEX, in_font_scale, text_color, 2)
 
     with show_reco.container():
         # Draw the results, 2 images per line
@@ -852,6 +852,7 @@ def draw_reco_images(in_image, in_boxes_coordinates, in_list_texts, in_list_conf
                         cols[ind_col].write(list_reco_status[ind], \
                                             use_column_width=True)
 
+        st.markdown(' 💡 Wrong font size? you can adjust it below:')
 ###
 def highlight():
     """Draw recognized text on original image, for each OCR solution used
@@ -901,7 +902,7 @@ def get_demo():
     """
 
     out_img_demo_1 = Image.open("img_demo_1.jpg")
-    out_img_demo_2 = Image.open("img_demo_2.png")
+    out_img_demo_2 = Image.open("img_demo_2.jpg")
 
     return out_img_demo_1, out_img_demo_2
 
@@ -911,7 +912,13 @@ def get_demo():
 
 ##----------- Initializations ---------------------------------------------------------------------
 #print("PID : ", os.getpid())
-st.set_page_config(layout="wide")
+st.set_page_config(page_title='OCR Comparator', layout ="wide")
+st.markdown(f'''
+    <style>
+        section[data-testid="stSidebar"] .css-ng1t4o {{width: 14rem;}}
+        section[data-testid="stSidebar"] .css-1d391kg {{width: 14rem;}}
+    </style>
+''',unsafe_allow_html=True)
 st.title("OCR solutions comparator")
 st.markdown("##### *EasyOCR, PPOCR, MMOCR, Tesseract*")
 #st.markdown("#### PID : " + str(os.getpid()))
@@ -952,7 +959,7 @@ if img_typ == 'Use a demo file':
     if demo_used == 'File 1':
         image_file = 'img_demo_1.jpg'
     else:
-        image_file = 'img_demo_2.png'
+        image_file = 'img_demo_2.jpg'
 
 ##----------- Process input image -----------------------------------------------------------------
 if image_file is not None:
@@ -1168,7 +1175,7 @@ Use rectlar box to calculate faster, and polygonal box more accurate for curved
                  horizontal=True, on_change=highlight)
 
 ##----------- Form with hyperparameters for recognition -----------------------
-        st.markdown("##### Hyperparameters values for recognition")
+        st.markdown("##### Hyperparameters values for recognition:")
         with st.form("form2"):
             with st.expander("Choose recognition hyperparameters for " + reader_type_list[0], \
                             expanded=False):
@@ -1341,7 +1348,7 @@ Use rectlar box to calculate faster, and polygonal box more accurate for curved
                                         in_conf_threshold=st.session_state.conf_threshold_sld)
 
             st.subheader("Recognition details")
-            with st.expander("Detailed areas for EasyOCR, PPOCR, MMOCR", expanded=False):
+            with st.expander("Detailed areas for EasyOCR, PPOCR, MMOCR", expanded=True):
                 cols = st.columns(cols_size)
                 cols[0].markdown('#### Detected area')
                 for i in range(1, (len(reader_type_list)-1)*2, 2):