remaining typos idenitified by codespell

qurator/eynollah/utils/__init__.py

@@ -348,7 +348,8 @@ def boosting_headers_by_longshot_region_segmentation(textregion_pre_p, textregio
     # headers_in_longshot= ( (textregion_pre_np[:,:,0]==2) | (textregion_pre_np[:,:,0]==1) )*1
     textregion_pre_p[:, :, 0][(headers_in_longshot[:, :] == 1) & (textregion_pre_p[:, :, 0] != 4)] = 2
     textregion_pre_p[:, :, 0][textregion_pre_p[:, :, 0] == 1] = 0
-    # textregion_pre_p[:,:,0][( img_only_text[:,:]==1) & (textregion_pre_p[:,:,0]!=7)  & (textregion_pre_p[:,:,0]!=2)]=1 # eralier it was so, but by this manner the drop capitals are alse deleted
+    # earlier it was so, but by this manner the drop capitals are also deleted
+    # textregion_pre_p[:,:,0][( img_only_text[:,:]==1) & (textregion_pre_p[:,:,0]!=7)  & (textregion_pre_p[:,:,0]!=2)]=1
     textregion_pre_p[:, :, 0][(img_only_text[:, :] == 1) & (textregion_pre_p[:, :, 0] != 7) & (textregion_pre_p[:, :, 0] != 4) & (textregion_pre_p[:, :, 0] != 2)] = 1
     return textregion_pre_p
 

qurator/eynollah/utils/contour.py

@@ -50,7 +50,7 @@ def filter_contours_area_of_image(image, contours, hierarchy, max_area, min_area
 
         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 hierarchy[0][jv][3] == -1:  # and hirarchy[0][jv][3]==-1 :
+        if area >= min_area * np.prod(image.shape[:2]) and area <= max_area * np.prod(image.shape[:2]) and hierarchy[0][jv][3] == -1:  # and hierarchy[0][jv][3]==-1 :
             found_polygons_early.append(np.array([[point] for point in polygon.exterior.coords], dtype=np.uint))
         jv += 1
     return found_polygons_early
@@ -68,7 +68,7 @@ def filter_contours_area_of_image_tables(image, contours, hierarchy, max_area, m
         area = polygon.area
         ##print(np.prod(thresh.shape[:2]))
         # Check that polygon has area greater than minimal area
-        # print(hierarchy[0][jv][3],hirarchy )
+        # print(hierarchy[0][jv][3],hierarchy )
         if area >= min_area * np.prod(image.shape[:2]) and area <= max_area * np.prod(image.shape[:2]):  # and hierarchy[0][jv][3]==-1 :
             # print(c[0][0][1])
             found_polygons_early.append(np.array([[point] for point in polygon.exterior.coords], dtype=np.int32))