mirror of https://github.com/open-mmlab/mmocr.git
129 lines
5.4 KiB
Python
129 lines
5.4 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import numpy as np
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import pytest
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from mmocr.utils import (bezier_to_polygon, is_on_same_line, sort_points,
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stitch_boxes_into_lines)
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def test_box_on_line():
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# regular boxes
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box1 = [0, 0, 1, 0, 1, 1, 0, 1]
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box2 = [2, 0.5, 3, 0.5, 3, 1.5, 2, 1.5]
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box3 = [4, 0.8, 5, 0.8, 5, 1.8, 4, 1.8]
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assert is_on_same_line(box1, box2, 0.5)
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assert not is_on_same_line(box1, box3, 0.5)
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# irregular box4
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box4 = [0, 0, 1, 1, 1, 2, 0, 1]
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box5 = [2, 1.5, 3, 1.5, 3, 2.5, 2, 2.5]
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box6 = [2, 1.6, 3, 1.6, 3, 2.6, 2, 2.6]
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assert is_on_same_line(box4, box5, 0.5)
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assert not is_on_same_line(box4, box6, 0.5)
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def test_stitch_boxes_into_lines():
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boxes = [ # regular boxes
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[0, 0, 1, 0, 1, 1, 0, 1],
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[2, 0.5, 3, 0.5, 3, 1.5, 2, 1.5],
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[3, 1.2, 4, 1.2, 4, 2.2, 3, 2.2],
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[5, 0.5, 6, 0.5, 6, 1.5, 5, 1.5],
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# irregular box
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[6, 1.5, 7, 1.25, 7, 1.75, 6, 1.75]
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]
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raw_input = [{'box': boxes[i], 'text': str(i)} for i in range(len(boxes))]
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result = stitch_boxes_into_lines(raw_input, 1, 0.5)
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# Final lines: [0, 1], [2], [3, 4]
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# box 0, 1, 3, 4 are on the same line but box 3 is 2 pixels away from box 1
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# box 3 and 4 are on the same line since the length of overlapping part >=
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# 0.5 * the y-axis length of box 5
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expected_result = [{
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'box': [0, 0, 3, 0, 3, 1.5, 0, 1.5],
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'text': '0 1'
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}, {
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'box': [3, 1.2, 4, 1.2, 4, 2.2, 3, 2.2],
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'text': '2'
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}, {
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'box': [5, 0.5, 7, 0.5, 7, 1.75, 5, 1.75],
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'text': '3 4'
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}]
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result.sort(key=lambda x: x['box'][0])
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expected_result.sort(key=lambda x: x['box'][0])
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assert result == expected_result
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def test_bezier_to_polygon():
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bezier_points = [
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37.0, 249.0, 72.5, 229.55, 95.34, 220.65, 134.0, 216.0, 132.0, 233.0,
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82.11, 240.2, 72.46, 247.16, 38.0, 263.0
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]
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pts = bezier_to_polygon(bezier_points)
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target = np.array([[37.0, 249.0], [42.50420761043885, 246.01570199737577],
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[47.82291296107305, 243.2012392477038],
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[52.98102930456334, 240.5511007435486],
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[58.00346989357049, 238.05977547747486],
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[62.91514798075522, 235.721752442047],
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[67.74097681877824, 233.53152062982943],
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[72.50586966030032, 231.48356903338674],
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[77.23473975798221, 229.57238664528356],
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[81.95250036448464, 227.79246245808432],
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[86.68406473246829, 226.13828546435346],
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[91.45434611459396, 224.60434465665548],
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[96.28825776352238, 223.18512902755504],
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[101.21071293191426, 221.87512756961655],
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[106.24662487243039, 220.6688292754046],
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[111.42090683773145, 219.5607231374836],
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[116.75847208047819, 218.5452981484181],
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[122.28423385333137, 217.6170433007727],
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[128.02310540895172, 216.77044758711182],
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[134.0, 216.0], [132.0, 233.0],
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[124.4475521213005, 234.13617728531858],
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[117.50700976818779, 235.2763434903047],
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[111.12146960198277, 236.42847645429362],
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[105.2340282840064, 237.6005540166205],
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[99.78778247557953, 238.80055401662054],
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[94.72582883802303, 240.0364542936288],
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[89.99126403265781, 241.31623268698053],
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[85.52718472080478, 242.64786703601104],
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[81.27668756378483, 244.03933518005545],
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[77.1828692229188, 245.49861495844874],
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[73.18882635952762, 247.0336842105263],
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[69.23765563493221, 248.65252077562326],
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[65.27245371045342, 250.3631024930748],
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[61.23631724741216, 252.17340720221605],
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[57.07234290712931, 254.09141274238226],
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[52.723627350925796, 256.12509695290856],
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[48.13326724012247, 258.2824376731302],
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[43.24435923604024, 260.5714127423822], [38.0, 263.0]])
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assert np.allclose(pts, target)
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bezier_points = [0, 0, 0, 1, 0, 2, 0, 3, 1, 0, 1, 1, 1, 2, 1, 3]
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pts = bezier_to_polygon(bezier_points, num_sample=3)
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target = np.array([[0, 0], [0, 1.5], [0, 3], [1, 0], [1, 1.5], [1, 3]])
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assert np.allclose(pts, target)
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with pytest.raises(AssertionError):
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bezier_to_polygon(bezier_points, num_sample=-1)
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bezier_points = [0, 1]
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with pytest.raises(AssertionError):
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bezier_to_polygon(bezier_points)
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def test_sort_points():
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points = np.array([[1, 1], [0, 0], [1, -1], [2, -2], [0, 2], [1, 1],
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[0, 1], [-1, 1], [-1, -1]])
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target = np.array([[-1, -1], [0, 0], [-1, 1], [0, 1], [0, 2], [1, 1],
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[1, 1], [2, -2], [1, -1]])
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assert np.allclose(target, sort_points(points))
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points = np.array([[1, 1], [1, -1], [-1, 1], [-1, -1]])
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target = np.array([[-1, -1], [-1, 1], [1, 1], [1, -1]])
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assert np.allclose(target, sort_points(points))
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points = [[1, 1], [1, -1], [-1, 1], [-1, -1]]
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assert np.allclose(target, sort_points(points))
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with pytest.raises(AssertionError):
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sort_points([1, 2])
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