beb40da3b1
Merge in RR/cv-analysis from remove_isolated to master
Squashed commit of the following:
commit 2613ed1615d1b69b3e4f2acea197993a91d00561
Author: Isaac Riley <Isaac.Riley@iqser.com>
Date: Tue Aug 2 10:17:33 2022 +0200
add single-cell filtering to table parsing and increase tolerance parameter to 7; refactored postprocessing to use the Rectangles data structure
44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
from functools import partial
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import cv2
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import numpy as np
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from cv_analysis.figure_detection.figures import detect_large_coherent_structures
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from cv_analysis.figure_detection.text import remove_primary_text_regions
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from cv_analysis.utils.filters import (
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is_large_enough,
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has_acceptable_format,
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is_not_too_large,
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)
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from cv_analysis.utils.postprocessing import remove_included
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from cv_analysis.utils.structures import Rectangle
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def make_figure_detection_pipeline(min_area=5000, max_width_to_height_ratio=6):
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def pipeline(image: np.array):
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max_area = image.shape[0] * image.shape[1] * 0.99
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filter_cnts = make_filter_likely_figures(min_area, max_area, max_width_to_height_ratio)
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image = remove_primary_text_regions(image)
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cnts = detect_large_coherent_structures(image)
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cnts = filter_cnts(cnts)
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rects = map(cv2.boundingRect, cnts)
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rects = map(Rectangle.from_xywh, rects)
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rects = remove_included(rects)
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return rects
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return pipeline
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def make_filter_likely_figures(min_area, max_area, max_width_to_height_ratio):
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def is_likely_figure(cnts):
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return (
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is_not_too_large(cnts, max_area)
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and is_large_enough(cnts, min_area)
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and has_acceptable_format(cnts, max_width_to_height_ratio)
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)
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return partial(filter, is_likely_figure)
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