remove unused return_bonding_box_of_contours

sbb_newspapers_org_image/eynollah.py

@@ -37,7 +37,6 @@ from .utils.contour import (
     find_new_features_of_contoures,
     get_text_region_boxes_by_given_contours,
     get_textregion_contours_in_org_image,
-    return_bonding_box_of_contours,
     return_contours_of_image,
     return_contours_of_interested_region,
     return_contours_of_interested_region_by_min_size,

sbb_newspapers_org_image/unused.py

@@ -3048,3 +3048,12 @@ def return_contours_of_interested_region_and_bounding_box(region_pre_p, pixel):
         boxes.append([int(x), int(y), int(w), int(h)])
     return contours_imgs, boxes
 
+def return_bonding_box_of_contours(cnts):
+    boxes_tot = []
+    for i in range(len(cnts)):
+        x, y, w, h = cv2.boundingRect(cnts[i])
+
+        box = [x, y, w, h]
+        boxes_tot.append(box)
+    return boxes_tot
+

sbb_newspapers_org_image/utils/contour.py

@@ -216,15 +216,6 @@ def return_contours_of_interested_textline(region_pre_p, pixel):
     contours_imgs = filter_contours_area_of_image_tables(thresh, contours_imgs, hiearchy, max_area=1, min_area=0.000000003)
     return contours_imgs
 
-def return_bonding_box_of_contours(cnts):
-    boxes_tot = []
-    for i in range(len(cnts)):
-        x, y, w, h = cv2.boundingRect(cnts[i])
-
-        box = [x, y, w, h]
-        boxes_tot.append(box)
-    return boxes_tot
-
 def return_contours_of_image(image):
 
     if len(image.shape) == 2: