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https://github.com/skishore/makemeahanzi.git
synced 2025-11-01 20:27:44 +08:00
Tweak hand-tuned classifier slightly
This commit is contained in:
26
getchar.py
26
getchar.py
@ -8,7 +8,7 @@ import os
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import svg.path
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import sys
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SCALE = 0.2
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SCALE = 1
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SVG_DIR = 'derived'
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TRANSFORM = 'scale({0:.2g}, -{0:0.2g}) translate(0, -900)'.format(SCALE)
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@ -56,6 +56,9 @@ class Cusp(object):
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if other.point == self.point:
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return True
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diff = other.point - self.point
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length = abs(diff)
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if length > MAX_CROSSING_DISTANCE:
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return False
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(other1, other2) = (other.tangent1, other.tangent2)
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if reverse:
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(other1, other2) = (other2, other1)
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@ -64,15 +67,15 @@ class Cusp(object):
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self._get_angle(diff, other2),
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self._get_angle(diff, self.tangent2),
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self._get_angle(other1, diff),
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abs(diff)
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length,
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)
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return (features[0]*features[1] > 0 and
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features[2]*features[3] > 0 and
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abs(features[0]) < 0.4*math.pi and
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abs(features[1]) < 0.4*math.pi and
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abs(features[2]) > 0.4*math.pi and
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abs(features[3]) > 0.4*math.pi and
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features[4] < MAX_CROSSING_DISTANCE)
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# TODO(skishore): Replace this set of inequalities with a machine-learned
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# classifier such as a neural net.
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return (features[2]*features[3] > 0 and
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abs(features[0]) < 0.3*math.pi and
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abs(features[1]) < 0.3*math.pi and
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abs(features[2]) > 0.3*math.pi and
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abs(features[3]) > 0.3*math.pi)
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def augment_glyph(glyph):
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@ -86,8 +89,9 @@ def augment_glyph(glyph):
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result = []
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for cusp in cusps:
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result.append(
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'<circle cx="{0}" cy="{1}" r="4" fill="red" stroke="red"/>'.format(
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int(cusp.point.real), int(cusp.point.imag)))
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'<circle cx="{0}" cy="{1}" r="4" fill="red" stroke="red" '
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'data-angle="{2}"/>'.format(
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int(cusp.point.real), int(cusp.point.imag), cusp.angle))
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for cusp in cusps:
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for other in cusps:
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if cusp.connect(other):
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