qurator-spk/eynollah
1
0
Fork 0
mirror of https://github.com/qurator-spk/eynollah.git synced 2025-06-09 04:09:54 +02:00
Code Issues Projects Releases Wiki Activity

typo: s,hirarchy,hierarchy,

Browse source
This commit is contained in:
Konstantin Baierer 2021-03-01 17:55:05 +01:00
parent 526769354a
commit 78a7ace863
1 changed files with 5 additions and 5 deletions
Download patch file Download diff file Expand all files Collapse all files

10
qurator/eynollah/utils/contour.py
View file

@ -41,7 +41,7 @@ def get_text_region_boxes_by_given_contours(contours):
del contours
return boxes, contours_new
def filter_contours_area_of_image(image, contours, hirarchy, max_area, min_area):
def filter_contours_area_of_image(image, contours, hierarchy, max_area, min_area):
found_polygons_early = list()
jv = 0
for c in contours:
@ -50,12 +50,12 @@ def filter_contours_area_of_image(image, contours, hirarchy, 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 hirarchy[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 hirarchy[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
def filter_contours_area_of_image_tables(image, contours, hirarchy, max_area, min_area):
def filter_contours_area_of_image_tables(image, contours, hierarchy, max_area, min_area):
found_polygons_early = list()
jv = 0
@ -68,8 +68,8 @@ def filter_contours_area_of_image_tables(image, contours, hirarchy, max_area, mi
area = polygon.area
##print(np.prod(thresh.shape[:2]))
# Check that polygon has area greater than minimal area
# print(hirarchy[0][jv][3],hirarchy )
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(hierarchy[0][jv][3],hirarchy )
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))
jv += 1