def np_gaussian_kernel_1d(sigma, window_radius=None):
assert type(sigma) in (float, int)
if window_radius is None:
window_radius = int(np.ceil(3*sigma))
index = np.arange(2*window_radius + 1) - window_radius
kernel = np.exp(-0.5*index**2/sigma**2)
kernel = kernel / kernel.sum()
return cast_to_floatx(kernel)
def np_gaussian_kernel_1d(sigma, window_radius=None):
assert type(sigma) in (float, int)
if window_radius is None:
window_radius = int(np.ceil(3 * sigma))
index = np.arange(2 * window_radius + 1) - window_radius
kernel = np.exp(-0.5 * index**2 / sigma**2)
kernel = kernel / kernel.sum()
return cast_to_floatx(kernel)
def astronaut():
astronaut = skimage.data.astronaut() / 255.
astronaut = skimage.color.rgb2gray(astronaut)
return cast_to_floatx(astronaut[::4, ::4])
def astronaut():
astronaut = skimage.data.astronaut() / 255.
astronaut = skimage.color.rgb2gray(astronaut)
return cast_to_floatx(astronaut[::4, ::4])
