remove unused filter_contours_area_of_image_interiors

sbb_newspapers_org_image/eynollah.py

@@ -29,7 +29,6 @@ warnings.filterwarnings("ignore")
 
 from .utils.contour import (
     contours_in_same_horizon,
-    filter_contours_area_of_image_interiors,
     filter_contours_area_of_image_tables,
     filter_contours_area_of_image,
     find_contours_mean_y_diff,
@@ -46,21 +45,11 @@ from .utils.contour import (
 
 from .utils.rotate import (
     rotate_image,
-    rotate_max_area,
-    rotate_max_area_new,
-    rotatedRectWithMaxArea,
-    rotation_image_new,
     rotation_not_90_func,
-    rotation_not_90_func_full_layout,
-    rotyate_image_different,
+    rotation_not_90_func_full_layout
 )
 
 from .utils.separate_lines import (
-    seperate_lines,
-    seperate_lines_new_inside_teils,
-    seperate_lines_new_inside_teils2,
-    seperate_lines_vertical,
-    seperate_lines_vertical_cont,
     textline_contours_postprocessing,
     seperate_lines_new2,
     return_deskew_slop,

sbb_newspapers_org_image/unused.py

@@ -3070,3 +3070,21 @@ def find_features_of_contours(contours_main):
     y_max_main = np.array([np.max(contours_main[j][:, 0, 1]) for j in range(len(contours_main))])
 
     return y_min_main, y_max_main, areas_main
+
+def filter_contours_area_of_image_interiors(image, contours, hirarchy, max_area, min_area):
+    found_polygons_early = list()
+
+    jv = 0
+    for c in contours:
+        if len(c) < 3:  # A polygon cannot have less than 3 points
+            continue
+
+        polygon = geometry.Polygon([point[0] for point in c])
+        area = polygon.area
+        if area >= min_area * np.prod(image.shape[:2]) and area <= max_area * np.prod(image.shape[:2]) and hirarchy[0][jv][3] != -1:
+            # print(c[0][0][1])
+            found_polygons_early.append(np.array([point for point in polygon.exterior.coords], dtype=np.uint))
+        jv += 1
+    return found_polygons_early
+
+

sbb_newspapers_org_image/utils/contour.py

@@ -56,23 +56,6 @@ def filter_contours_area_of_image(image, contours, hirarchy, max_area, min_area)
         jv += 1
     return found_polygons_early
 
-def filter_contours_area_of_image_interiors(image, contours, hirarchy, max_area, min_area):
-    found_polygons_early = list()
-
-    jv = 0
-    for c in contours:
-        if len(c) < 3:  # A polygon cannot have less than 3 points
-            continue
-
-        polygon = geometry.Polygon([point[0] for point in c])
-        area = polygon.area
-        if area >= min_area * np.prod(image.shape[:2]) and area <= max_area * np.prod(image.shape[:2]) and hirarchy[0][jv][3] != -1:
-            # print(c[0][0][1])
-            found_polygons_early.append(np.array([point for point in polygon.exterior.coords], dtype=np.uint))
-        jv += 1
-    return found_polygons_early
-
-
 def filter_contours_area_of_image_tables(image, contours, hirarchy, max_area, min_area):
     found_polygons_early = list()