def main_show():
import matplotlib.pyplot as plt
rng = np.random.RandomState(1)
coords = prototype_coords(rng)
img = render_coords(coords)
img3 = render_coords(distort(coords, '3', rng))
img6 = render_coords(distort(coords, '6', rng))
plt.imshow(np.asarray([img, img3, img6]).T,
cmap='gray',
interpolation='nearest')
plt.show()
def main_show():
import matplotlib.pyplot as plt
rng = np.random.RandomState(1)
coords = prototype_coords(rng)
img = render_coords(coords)
img3 = render_coords(distort(coords, '3', rng))
img6 = render_coords(distort(coords, '6', rng))
plt.imshow(np.asarray([img, img3, img6]).T,
cmap='gray',
interpolation='nearest')
plt.show()
def render_coords_uint8_channels(coords):
n_points, n_dims = coords.shape
assert n_dims == 2
rval = render_coords(coords)
rval *= 255
rval = rval.astype('uint8')
rval = rval[:, :, np.newaxis]
return rval
def render_coords_uint8_channels(coords):
n_points, n_dims = coords.shape
assert n_dims == 2
rval = render_coords(coords)
rval *= 255
rval = rval.astype('uint8')
rval = rval[:, :, np.newaxis]
return rval
