qurator-spk
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sbb_textline_detection
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getting robust and doing sth for verticals

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pull/25/head
b-vr103 5 years ago
parent 3941f2f17d
commit 1446d7c662
1 changed files with 6 additions and 6 deletions
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qurator/sbb_textline_detector/main.py
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@ -70,7 +70,7 @@ class textline_detector:
np.array([point for point in polygon.exterior.coords], dtype=np.uint)) np.array([point for point in polygon.exterior.coords], dtype=np.uint))
return found_polygons_early return found_polygons_early
def filter_contours_area_of_image(self, image, contours, hirarchy, max_area, min_area): def filter_contours_area_of_image(self, image, contours, hierarchy, max_area, min_area):
found_polygons_early = list() found_polygons_early = list()
jv = 0 jv = 0
@ -81,13 +81,13 @@ class textline_detector:
polygon = geometry.Polygon([point[0] for point in c]) polygon = geometry.Polygon([point[0] for point in c])
area = polygon.area area = polygon.area
if area >= min_area * np.prod(image.shape[:2]) and area <= max_area * np.prod( 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 : image.shape[:2]) and hierarchy[0][jv][3] == -1 : # and hierarchy[0][jv][3]==-1 :
found_polygons_early.append( found_polygons_early.append(
np.array([ [point] for point in polygon.exterior.coords], dtype=np.uint)) np.array([ [point] for point in polygon.exterior.coords], dtype=np.uint))
jv += 1 jv += 1
return found_polygons_early return found_polygons_early
def filter_contours_area_of_image_interiors(self, image, contours, hirarchy, max_area, min_area): def filter_contours_area_of_image_interiors(self, image, contours, hierarchy, max_area, min_area):
found_polygons_early = list() found_polygons_early = list()
jv = 0 jv = 0
@ -98,7 +98,7 @@ class textline_detector:
polygon = geometry.Polygon([point[0] for point in c]) polygon = geometry.Polygon([point[0] for point in c])
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 \ if area >= min_area * np.prod(image.shape[:2]) and area <= max_area * np.prod(image.shape[:2]) and \
hirarchy[0][jv][3] != -1: hierarchy[0][jv][3] != -1:
# print(c[0][0][1]) # print(c[0][0][1])
found_polygons_early.append( found_polygons_early.append(
np.array([point for point in polygon.exterior.coords], dtype=np.uint)) np.array([point for point in polygon.exterior.coords], dtype=np.uint))
@ -464,9 +464,9 @@ class textline_detector:
_, thresh = cv2.threshold(imgray, 0, 255, 0) _, thresh = cv2.threshold(imgray, 0, 255, 0)
contours, hirarchy = cv2.findContours(thresh.copy(), cv2.cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) contours, hierarchy = cv2.findContours(thresh.copy(), cv2.cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
main_contours = self.filter_contours_area_of_image(thresh, contours, hirarchy, max_area=1, min_area=0.00001) main_contours = self.filter_contours_area_of_image(thresh, contours, hierarchy, max_area=1, min_area=0.00001)
self.boxes = [] self.boxes = []
for jj in range(len(main_contours)): for jj in range(len(main_contours)):

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