def plot_image_edges(image):
edges = bedges(image)
P.subplot(331)
p = P.imshow(image, cmap=P.cm.gray)
p.set_interpolation('nearest')
for i in range(8):
P.subplot(332+i)
p = P.imshow(edges[:,:,i], cmap=P.cm.gray)
p.set_interpolation('nearest')
P.show()
def main():
#all_edges = []
#d = range(9)
d = [9]
images, _ = read('training', '../../mnist', d)
#images = images[:100]
all_edges = bedges(images)
#cProfile.runctx("all_edges = amitedges(images)", globals(), locals(), "Profile.prof")
#s = pstats.Stats("Profile.prof")
#s.strip_dirs().sort_stats("time").print_stats()
print all_edges[0, 0, 0, 0]
platonic_edges = all_edges.mean(axis=0)
plot_edges(platonic_edges)
def main():
#all_edges = []
#d = range(9)
d = [9]
images, _ = read('training', '../../mnist', d)
#images = images[:100]
all_edges = bedges(images)
#cProfile.runctx("all_edges = amitedges(images)", globals(), locals(), "Profile.prof")
#s = pstats.Stats("Profile.prof")
#s.strip_dirs().sort_stats("time").print_stats()
print all_edges[0, 0, 0, 0]
platonic_edges = all_edges.mean(axis=0)
plot_edges(platonic_edges)
