Spaces:
Running
on
T4
Running
on
T4
MikkoLipsanen
commited on
Commit
•
36e7edb
1
Parent(s):
f8a998a
Create reading_order.py
Browse files- reading_order.py +106 -0
reading_order.py
ADDED
@@ -0,0 +1,106 @@
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import numpy as np
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class OrderPolygons:
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def __init__(self, text_direction = 'lr'):
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self.text_direction = text_direction
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# Defines whether two lines overlap vertically
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def _y_overlaps(self, u, v):
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#u_y_min < v_y_max and u_y_max > v_y_min
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return u[3] < v[2] and u[2] > v[3]
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# Defines whether two lines overlap horizontally
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def _x_overlaps(self, u, v):
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#u_x_min < v_x_max and u_x_max > v_x_min
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return u[1] < v[0] and u[0] > v[1]
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# Defines whether one line (u) is above the other (v)
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def _above(self, u, v):
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#u_y_min < v_y_min
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return u[3] < v[3]
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# Defines whether one line (u) is left of the other (v)
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def _left_of(self, u, v):
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#u_x_max < v_x_min
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return u[0] < v[1]
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# Defines whether one line (w) overlaps with two others (u,v)
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def _separates(self, w, u, v):
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if w == u or w == v:
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return 0
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#w_y_max < (min(u_y_min, v_y_min))
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if w[2] < min(u[3], v[3]):
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return 0
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#w_y_min > max(u_y_max, v_y_max)
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if w[3] > max(u[2], v[2]):
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return 0
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#w_x_min < u_x_max and w_x_max > v_x_min
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if w[1] < u[0] and w[0] > v[1]:
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return 1
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return 0
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# Slightly modified version of the Kraken implementation at
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# https://github.com/mittagessen/kraken/blob/master/kraken/lib/segmentation.py
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def reading_order(self, lines):
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"""Given the list of lines, computes
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the partial reading order. The output is a binary 2D array
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such that order[i,j] is true if line i comes before line j
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in reading order."""
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# Input lines are arrays with 4 polygon coordinates:
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# 0=x_right/x_max, 1=x_left/x_min, 2=y_down/y_max, 3=y_up/y_min
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# Array where the order of precedence between the lines is defined
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order = np.zeros((len(lines), len(lines)), 'B')
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# Defines reading direction: default is from left to right
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if self.text_direction == 'rl':
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def horizontal_order(u, v):
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return not self._left_of(u, v)
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else:
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horizontal_order = self._left_of
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for i, u in enumerate(lines):
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for j, v in enumerate(lines):
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if self._x_overlaps(u, v):
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if self._above(u, v):
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# line u is placed before line v in reading order
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order[i, j] = 1
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else:
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if [w for w in lines if self._separates(w, u, v)] == []:
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if horizontal_order(u, v):
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order[i, j] = 1
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elif self._y_overlaps(u, v) and horizontal_order(u, v):
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order[i, j] = 1
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return order
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# Taken from the Kraken implementation at
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# https://github.com/mittagessen/kraken/blob/master/kraken/lib/segmentation.py
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def topsort(self, order):
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"""Given a binary array defining a partial order (o[i,j]==True means i<j),
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compute a topological sort. This is a quick and dirty implementation
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that works for up to a few thousand elements."""
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n = len(order)
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visited = np.zeros(n)
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L = []
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def _visit(k):
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if visited[k]:
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return
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visited[k] = 1
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a, = np.nonzero(np.ravel(order[:, k]))
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for line in a:
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_visit(line)
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L.append(k)
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for k in range(n):
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_visit(k)
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return L
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def order(self, lines):
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order = self.reading_order(lines)
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sorted = self.topsort(order)
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return sorted
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