pylab.plot(P1[0], P1[1], "go", P2[0], P2[1], "ro")
ax.set_title("Total cost: %s" % COST)
for l in LINES:
pylab.plot((l[0][0], l[1][0]), (l[0][1], l[1][1]), "k-")
pylab.show()
a = SC(r_outer=2)
sampls = 30
imgs = get_elements("test.png")
points1, t1 = get_points_from_img("9M.png", simpleto=sampls)
P = a.compute(points1)
x1 = [p[0] for p in points1]
y1 = [400 - p[1] for p in points1]
for i, img in enumerate(imgs):
cv.ShowImage("Preview - %s" % i, img)
cv.WaitKey()
sys.exit()
for img in imgs:
cv.ShowImage("Preview2", img)
cv.WaitKey()
points2, t2 = get_points_from_img(img, simpleto=sampls)
ax = pylab.subplot(111)
pylab.grid(True)
pylab.plot(P1[0], P1[1], 'go', P2[0], P2[1], 'ro')
ax.set_title('Total cost: %s' % COST)
for l in LINES:
pylab.plot((l[0][0], l[1][0]), (l[0][1], l[1][1]), 'k-')
pylab.show()
a = SC()
sampls = 100
points1, t1 = get_points_from_img('B.png', simpleto=sampls)
points2, t2 = get_points_from_img('D.png', simpleto=sampls)
P = a.compute(points1)
x1 = [p[0] for p in points1]
y1 = [400 - p[1] for p in points1]
Q = a.compute(points2)
x2 = [p[0] for p in points2]
y2 = [400 - p[1] for p in points2]
"""
# get rendom r shape contexts from query shape
Qs,points_ids = a.get_contextes(Q,5)
points2s = [points2[i] for i in points_ids]
COST,indexes = a.diff(P,Qs,qlength=len(Q))
pylab.plot(P1[0],P1[1],'go',P2[0],P2[1],'ro')
ax.set_title('Total cost: %s' % COST)
for l in LINES:
pylab.plot((l[0][0],l[1][0]),(l[0][1],l[1][1]), 'k-')
pylab.show()
a = SC(r_outer=2)
sampls = 30
imgs = get_elements('test.png')
points1,t1 = get_points_from_img('9M.png',simpleto=sampls)
P = a.compute(points1)
x1 = [p[0] for p in points1]
y1 = [400-p[1] for p in points1]
for i,img in enumerate(imgs):
cv.imshow('Preview - %s' % i,img)
cv.waitKey(0)
sys.exit()
for img in imgs:
cv.imshow('Preview2',img)
cv.waitKey(0)
points2,t2 = get_points_from_img(img,simpleto=sampls)
pylab.plot(P1[0],P1[1],'go',P2[0],P2[1],'ro')
ax.set_title('Total cost: %s' % COST)
for l in LINES:
pylab.plot((l[0][0],l[1][0]),(l[0][1],l[1][1]), 'k-')
pylab.show()
a = SC()
sampls = 100
imgs = get_elements('test.png')
points = get_points_from_img('9M2.png',simpleto=sampls)
P = a.compute(points)
x1 = [p[0] for p in points]
y1 = [400-p[1] for p in points]
for img in imgs:
points2 = get_points_from_img(img,simpleto=sampls)
if points2:
Q = a.compute(points2)
x2 = [p[0] for p in points2]
y2 = [400-p[1] for p in points2]
# get rendom r shape contexts from query shape
Qs,points_ids = a.get_contextes(Q,5)
pylab.plot(P1[0], P1[1], 'go', P2[0], P2[1], 'ro')
ax.set_title('Total cost: %s' % COST)
for l in LINES:
pylab.plot((l[0][0], l[1][0]), (l[0][1], l[1][1]), 'k-')
pylab.show()
a = SC()
sampls = 100
imgs = get_elements('test.png')
points = get_points_from_img('9M2.png', simpleto=sampls)
P = a.compute(points)
x1 = [p[0] for p in points]
y1 = [400 - p[1] for p in points]
for img in imgs:
points2 = get_points_from_img(img, simpleto=sampls)
if points2:
Q = a.compute(points2)
x2 = [p[0] for p in points2]
y2 = [400 - p[1] for p in points2]
# get rendom r shape contexts from query shape
Qs, points_ids = a.get_contextes(Q, 5)
pylab.plot(P1[0],P1[1],'go',P2[0],P2[1],'ro')
ax.set_title('Total cost: %s' % COST)
for l in LINES:
pylab.plot((l[0][0],l[1][0]),(l[0][1],l[1][1]), 'k-')
pylab.show()
a = SC()
sampls = 100
points1,t1 = get_points_from_img('B.png',simpleto=sampls)
points2,t2 = get_points_from_img('D.png',simpleto=sampls)
P = a.compute(points1)
x1 = [p[0] for p in points1]
y1 = [400-p[1] for p in points1]
Q = a.compute(points2)
x2 = [p[0] for p in points2]
y2 = [400-p[1] for p in points2]
"""
# get rendom r shape contexts from query shape
Qs,points_ids = a.get_contextes(Q,5)
points2s = [points2[i] for i in points_ids]
COST,indexes = a.diff(P,Qs,qlength=len(Q))
pylab.plot(P1[0], P1[1], 'go', P2[0], P2[1], 'ro')
ax.set_title('Total cost: %s' % COST)
for l in LINES:
pylab.plot((l[0][0], l[1][0]), (l[0][1], l[1][1]), 'k-')
pylab.show()
a = SC()
sampls = 100
files = os.listdir(folder)
for i in range(0, len(files), 2):
print(files[i])
points1, t1 = get_points_from_img(os.path.join(folder, files[i]),
simpleto=sampls)
points2, t2 = get_points_from_img(os.path.join(folder, files[i + 1]),
simpleto=sampls)
P = a.compute(points1)
x1 = [p[0] for p in points1]
y1 = [400 - p[1] for p in points1]
Q = a.compute(points2)
x2 = [p[0] for p in points2]
y2 = [400 - p[1] for p in points2]
"""
# get rendom r shape contexts from query shape
Qs,points_ids = a.get_contextes(Q,5)
points2s = [points2[i] for i in points_ids]
COST,indexes = a.diff(P,Qs,qlength=len(Q))
