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remove unused filter_contours_area_of_image_interiors
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parent
e2ae6dbd44
commit
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3 changed files with 19 additions and 29 deletions
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@ -29,7 +29,6 @@ warnings.filterwarnings("ignore")
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from .utils.contour import (
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from .utils.contour import (
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contours_in_same_horizon,
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contours_in_same_horizon,
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filter_contours_area_of_image_interiors,
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filter_contours_area_of_image_tables,
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filter_contours_area_of_image_tables,
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filter_contours_area_of_image,
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filter_contours_area_of_image,
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find_contours_mean_y_diff,
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find_contours_mean_y_diff,
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@ -46,21 +45,11 @@ from .utils.contour import (
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from .utils.rotate import (
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from .utils.rotate import (
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rotate_image,
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rotate_image,
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rotate_max_area,
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rotate_max_area_new,
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rotatedRectWithMaxArea,
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rotation_image_new,
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rotation_not_90_func,
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rotation_not_90_func,
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rotation_not_90_func_full_layout,
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rotation_not_90_func_full_layout
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rotyate_image_different,
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)
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)
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from .utils.separate_lines import (
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from .utils.separate_lines import (
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seperate_lines,
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seperate_lines_new_inside_teils,
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seperate_lines_new_inside_teils2,
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seperate_lines_vertical,
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seperate_lines_vertical_cont,
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textline_contours_postprocessing,
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textline_contours_postprocessing,
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seperate_lines_new2,
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seperate_lines_new2,
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return_deskew_slop,
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return_deskew_slop,
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@ -3070,3 +3070,21 @@ def find_features_of_contours(contours_main):
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y_max_main = np.array([np.max(contours_main[j][:, 0, 1]) for j in range(len(contours_main))])
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y_max_main = np.array([np.max(contours_main[j][:, 0, 1]) for j in range(len(contours_main))])
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return y_min_main, y_max_main, areas_main
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return y_min_main, y_max_main, areas_main
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def filter_contours_area_of_image_interiors(image, contours, hirarchy, max_area, min_area):
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found_polygons_early = list()
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jv = 0
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for c in contours:
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if len(c) < 3: # A polygon cannot have less than 3 points
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continue
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polygon = geometry.Polygon([point[0] for point in c])
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area = polygon.area
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if area >= min_area * np.prod(image.shape[:2]) and area <= max_area * np.prod(image.shape[:2]) and hirarchy[0][jv][3] != -1:
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# print(c[0][0][1])
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found_polygons_early.append(np.array([point for point in polygon.exterior.coords], dtype=np.uint))
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jv += 1
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return found_polygons_early
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@ -56,23 +56,6 @@ def filter_contours_area_of_image(image, contours, hirarchy, max_area, min_area)
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jv += 1
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jv += 1
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return found_polygons_early
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return found_polygons_early
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def filter_contours_area_of_image_interiors(image, contours, hirarchy, max_area, min_area):
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found_polygons_early = list()
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jv = 0
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for c in contours:
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if len(c) < 3: # A polygon cannot have less than 3 points
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continue
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polygon = geometry.Polygon([point[0] for point in c])
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area = polygon.area
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if area >= min_area * np.prod(image.shape[:2]) and area <= max_area * np.prod(image.shape[:2]) and hirarchy[0][jv][3] != -1:
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# print(c[0][0][1])
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found_polygons_early.append(np.array([point for point in polygon.exterior.coords], dtype=np.uint))
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jv += 1
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return found_polygons_early
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def filter_contours_area_of_image_tables(image, contours, hirarchy, max_area, min_area):
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def filter_contours_area_of_image_tables(image, contours, hirarchy, max_area, min_area):
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found_polygons_early = list()
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found_polygons_early = list()
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