def nearest2(lines, point):
return min(map(lambda l: dst(point, points_to_line(*l)), lines))
-size = (520, 390)
def generate_models(sgrid, lh):
for f in [0, 1, 2, 3, 5, 7, 8, 11, 15, 17]:
import matplotlib.pyplot as pyplot
import time
+ size = (520, 390)
points = pickle.load(open('edges.pickle'))
lines = pickle.load(open('lines.pickle'))
l1s = random.sample(l1, 2)
l1s.sort(key=lambda l: l[1])
sgrid = map(lambda l:linef.line_from_angl_dist(l, size), l1s)
- middle = lambda m: ((m, 0),(m, 390))
+ middle = lambda m: ((m, 0),(m, size[1]))
middle = middle(gm.intersection((sgrid[0][0], sgrid[1][1]),
(sgrid[0][1], sgrid[1][0]))[0])
lh = (gm.intersection(sgrid[0], middle), gm.intersection(sgrid[1], middle))
- sc1_n, gridv_n = min(map(lambda g: (score(g, l1, 210), g), generate_models(sgrid, lh)))
+ sc1_n, gridv_n = min(map(lambda g: (score(g, l1, size[1] / 2 + 15), g), generate_models(sgrid, lh)))
if sc1_n < sc1:
sc1, gridv = sc1_n, gridv_n
l2s = random.sample(l2, 2)
l2s.sort(key=lambda l: l[1])
sgrid = map(lambda l:linef.line_from_angl_dist(l, size), l2s)
- middle = lambda m: ((0, m),(520, m))
+ middle = lambda m: ((0, m),(size[0], m))
middle = middle(gm.intersection((sgrid[0][0], sgrid[1][1]),
(sgrid[0][1], sgrid[1][0]))[1])
lh = (gm.intersection(sgrid[0], middle), gm.intersection(sgrid[1], middle))
- sc2_n, gridh_n = min(map(lambda g: (score(g, l2, 275), g), generate_models(sgrid, lh)))
+ sc2_n, gridh_n = min(map(lambda g: (score(g, l2, size[0] / 2 + 15), g), generate_models(sgrid, lh)))
if sc2_n < sc2:
sc2, gridh = sc2_n, gridh_n
gridv, gridh = lines2grid(gridv, gridh), lines2grid(gridh, gridv)