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eynollah
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filtering separators in a correct way without missing them

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pull/127/head
vahidrezanezhad 1 year ago
parent fc9e9cc29f
commit 7983a65006
1 changed files with 3 additions and 8 deletions
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11
qurator/eynollah/utils/contour.py
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@ -44,8 +44,8 @@ def get_text_region_boxes_by_given_contours(contours):
def filter_contours_area_of_image(image, contours, hierarchy, max_area, min_area): def filter_contours_area_of_image(image, contours, hierarchy, max_area, min_area):
found_polygons_early = list() found_polygons_early = list()
jv = 0
for c in contours: for jv,c in enumerate(contours):
if len(c) < 3: # A polygon cannot have less than 3 points if len(c) < 3: # A polygon cannot have less than 3 points
continue continue
@ -53,14 +53,12 @@ def filter_contours_area_of_image(image, contours, hierarchy, max_area, min_area
area = polygon.area 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 hierarchy[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)) found_polygons_early.append(np.array([[point] for point in polygon.exterior.coords], dtype=np.uint))
jv += 1
return found_polygons_early return found_polygons_early
def filter_contours_area_of_image_tables(image, contours, hierarchy, max_area, min_area): def filter_contours_area_of_image_tables(image, contours, hierarchy, max_area, min_area):
found_polygons_early = list() found_polygons_early = list()
jv = 0 for jv,c in enumerate(contours):
for c in contours:
if len(c) < 3: # A polygon cannot have less than 3 points if len(c) < 3: # A polygon cannot have less than 3 points
continue continue
@ -73,7 +71,6 @@ def filter_contours_area_of_image_tables(image, contours, hierarchy, max_area, m
if area >= min_area * np.prod(image.shape[:2]) and area <= max_area * np.prod(image.shape[:2]): # and hierarchy[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 :
# print(c[0][0][1]) # print(c[0][0][1])
found_polygons_early.append(np.array([[point] for point in polygon.exterior.coords], dtype=np.int32)) found_polygons_early.append(np.array([[point] for point in polygon.exterior.coords], dtype=np.int32))
jv += 1
return found_polygons_early return found_polygons_early
def find_new_features_of_contours(contours_main): def find_new_features_of_contours(contours_main):
@ -234,8 +231,6 @@ def get_textregion_contours_in_org_image_multi2(cnts, img, slope_first):
with Pool(cpu_count()) as p: with Pool(cpu_count()) as p:
cnts_org = p.starmap(loop_contour_image, [(index_l,cnts, img,slope_first) for index_l in range(len(cnts))]) cnts_org = p.starmap(loop_contour_image, [(index_l,cnts, img,slope_first) for index_l in range(len(cnts))])
print(len(cnts_org),'lendiha')
return cnts_org return cnts_org
def get_textregion_contours_in_org_image(cnts, img, slope_first): def get_textregion_contours_in_org_image(cnts, img, slope_first):

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