8432cfe514
Merge in RR/vidocp from text_removal to master
Squashed commit of the following:
commit b65374c512ce9ba07fa522d591c83db3de5d7d55
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Sun Feb 6 01:03:12 2022 +0100
readme updated
commit 1c1f7a395a00fa505cf19e1ad87d8c34faa6ef5b
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Sun Feb 6 01:00:46 2022 +0100
figure detection version 1 completed
commit f257660823ef8682e9fedda9921ad946ef2ade76
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Sun Feb 6 00:37:03 2022 +0100
wip
commit 2e89b28f4a69da80570597c823b3b7a591788d0a
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Sun Feb 6 00:23:56 2022 +0100
wip
144 lines
3.2 KiB
Python
144 lines
3.2 KiB
Python
from collections import namedtuple
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from functools import partial
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import cv2
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from matplotlib import pyplot as plt
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def show_mpl(image):
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fig, ax = plt.subplots(1, 1)
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fig.set_size_inches(20, 20)
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ax.imshow(image)
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plt.show()
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def show_cv2(image):
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cv2.imshow("", image)
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cv2.waitKey(0)
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def copy_and_normalize_channels(image):
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image = image.copy()
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try:
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image = cv2.cvtColor(image, cv2.COLOR_GRAY2BGR)
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except cv2.error:
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pass
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return image
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def draw_contours(image, contours):
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image = copy_and_normalize_channels(image)
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for cont in contours:
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cv2.drawContours(image, cont, -1, (0, 255, 0), 4)
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return image
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def draw_rectangles(image, rectangles, color=None):
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image = copy_and_normalize_channels(image)
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if not color:
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color = (0, 255, 0)
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for rect in rectangles:
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x, y, w, h = rect
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cv2.rectangle(image, (x, y), (x + w, y + h), color, 2)
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return image
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def draw_stats(image, stats, annotate=False):
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image = copy_and_normalize_channels(image)
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keys = ["x", "y", "w", "h"]
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def annotate_stat(x, y, w, h):
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for i, (s, v) in enumerate(zip(keys, [x, y, w, h])):
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anno = f"{s} = {v}"
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xann = int(x + 5)
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yann = int(y + h - (20 * (i + 1)))
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cv2.putText(image, anno, (xann, yann), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2)
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def draw_stat(stat):
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x, y, w, h, area = stat
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cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
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if annotate:
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annotate_stat(x, y, w, h)
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for stat in stats[2:]:
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draw_stat(stat)
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return image
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def remove_overlapping(rectangles):
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def overlap(a, b):
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return compute_intersection(a, b) > 0
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def does_not_overlap(rect, rectangles):
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return not any(overlap(rect, r2) for r2 in rectangles if not rect == r2)
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rectangles = list(map(xywh_to_vec_rect, rectangles))
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rectangles = filter(partial(does_not_overlap, rectangles=rectangles), rectangles)
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rectangles = map(vec_rect_to_xywh, rectangles)
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return rectangles
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def remove_included(rectangles):
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def included(a, b):
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return b.xmin >= a.xmin and b.ymin >= a.ymin and b.xmax <= a.xmax and b.ymax <= a.ymax
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def is_not_included(rect, rectangles):
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return not any(included(r2, rect) for r2 in rectangles if not rect == r2)
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rectangles = list(map(xywh_to_vec_rect, rectangles))
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rectangles = filter(partial(is_not_included, rectangles=rectangles), rectangles)
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rectangles = map(vec_rect_to_xywh, rectangles)
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return rectangles
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Rectangle = namedtuple("Rectangle", "xmin ymin xmax ymax")
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def make_box(x1, y1, x2, y2):
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keys = "x1", "y1", "x2", "y2"
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return dict(zip(keys, [x1, y1, x2, y2]))
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def compute_intersection(a, b):
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dx = min(a.xmax, b.xmax) - max(a.xmin, b.xmin)
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dy = min(a.ymax, b.ymax) - max(a.ymin, b.ymin)
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return dx * dy if (dx >= 0) and (dy >= 0) else 0
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def has_no_parent(hierarchy):
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return hierarchy[-1] <= 0
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def xywh_to_vec_rect(rect):
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x1, y1, w, h = rect
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x2 = x1 + w
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y2 = y1 + h
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return Rectangle(x1, y1, x2, y2)
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def vec_rect_to_xywh(rect):
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x, y, x2, y2 = rect
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w = x2 - x
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h = y2 - y
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return x, y, w, h
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