cli: add negative flag variants (--no/-no)

sbb_newspapers_org_image/cli.py

@@ -49,38 +49,38 @@ from sbb_newspapers_org_image.eynollah import eynollah
     type=click.Path(exists=True, file_okay=False),
 )
 @click.option(
-    "--enable_plotting",
-    "-ep",
+    "--enable-plotting/--disable-plotting",
+    "-ep/-noep",
     is_flag=True,
     help="If set, will plot intermediary files and images",
 )
 @click.option(
-    "--allow_enhancement",
-    "-ae",
+    "--allow-enhancement/--no-allow-enhancement",
+    "-ae/-noae",
     is_flag=True,
     help="if this parameter set to true, this tool would check that input image need resizing and enhancement or not. If so output of resized and enhanced image and corresponding layout data will be written in out directory",
 )
 @click.option(
-    "--curved_line",
-    "-cl",
+    "--curved-line/--no-curvedline",
+    "-cl/-nocl",
     is_flag=True,
     help="if this parameter set to true, this tool will try to return contoure of textlines instead of rectabgle bounding box of textline. This should be taken into account that with this option the tool need more time to do process.",
 )
 @click.option(
-    "--full_layout",
-    "-fl",
+    "--full-layout/--no-full-layout",
+    "-fl/-nofl",
     is_flag=True,
     help="if this parameter set to true, this tool will try to return all elements of layout.",
 )
 @click.option(
-    "--allow_scaling",
-    "-as",
+    "--allow_scaling/--no-allow-scaling",
+    "-as/-noas",
     is_flag=True,
     help="if this parameter set to true, this tool would check the scale and if needed it will scale it to perform better layout detection",
 )
 @click.option(
-    "--headers_off",
-    "-ho",
+    "--headers-off/--headers-on",
+    "-ho/-noho",
     is_flag=True,
     help="if this parameter set to true, this tool would ignore headers role in reading order",
 )

sbb_newspapers_org_image/eynollah.py

@@ -176,6 +176,7 @@ class eynollah:
         self.model_textline_dir = dir_models + "/model_textline_newspapers.h5"  #'/model_hor_ver_home_trextline_very_good.h5'# '/model_hor_ver_1_great.h5'#'/model_curved_office_works_great.h5'
 
     def predict_enhancement(self, img):
+        self.logger.debug("enter predict_enhancement")
         model_enhancement, session_enhancemnet = self.start_new_session_and_model(self.model_dir_of_enhancemnet)
 
         img_height_model = model_enhancement.layers[len(model_enhancement.layers) - 1].output_shape[1]
@@ -279,6 +280,7 @@ class eynollah:
         return int(float(dpi))
 
     def calculate_width_height_by_columns(self, img, num_col, width_early, label_p_pred):
+        self.logger.debug("enter calculate_width_height_by_columns")
         if num_col == 1 and width_early < 1100:
             img_w_new = 2000
             img_h_new = int(img.shape[0] / float(img.shape[1]) * 2000)
@@ -341,6 +343,7 @@ class eynollah:
         return img_new, num_column_is_classified
 
     def resize_image_with_column_classifier(self, is_image_enhanced):
+        self.logger.debug("enter resize_image_with_column_classifier")
         img = cv2.imread(self.image_filename)
         img = img.astype(np.uint8)
 
@@ -444,6 +447,7 @@ class eynollah:
         return is_image_enhanced, img, image_res, num_col, num_column_is_classified
 
     def get_image_and_scales(self, img_org, img_res, scale):
+        self.logger.debug("enter get_image_and_scales")
         self.image = np.copy(img_res)
         self.image_org = np.copy(img_org)
         self.height_org = self.image.shape[0]
@@ -462,11 +466,10 @@ class eynollah:
         
         #self.plotter.scale_y = self.scale_y
         #self.plotter.scale_x = self.scale_x
-        
 
 
     def get_image_and_scales_after_enhancing(self, img_org, img_res):
-
+        self.logger.debug("enter get_image_and_scales_after_enhancing")
         self.image = np.copy(img_res)
         self.image = self.image.astype(np.uint8)
         self.image_org = np.copy(img_org)