def test_conv2():
im = np.zeros((128, 128))
Gx = 4
Gy = 8
hs = psf_grid_motion(Gx, Gy, 100)
out = convolve_spatial2(im, hs)
return im, out, hs
def test_conv2():
im = np.zeros((128,128))
Gx = 4
Gy = 8
hs = psf_grid_motion(Gx,Gy,100)
out = convolve_spatial2(im, hs)
return im, out, hs
def test_conv2_psfs():
im = np.zeros((384, 512))
im[::32, ::32] = 1.
Gx = 8
Gy = 4
hs = psf_grid_motion(Gx, Gy, 30)
out = convolve_spatial2(im, hs)
return im, out, hs
def test_identity2():
from scipy.misc import ascent
from scipy.ndimage.interpolation import zoom
im = zoom(ascent().astype(np.float32), (2, 2))
Ng = 32
Ny, Nx = im.shape
h = np.zeros_like(im)
h[Ny // Ng // 2::Ny // Ng, Nx // Ng // 2::Nx // Ng] = 1.
out = convolve_spatial2(im, h, grid_dim=(Ng, Ng), pad_factor=3)
#npt.assert_almost_equal(im, out, decimal = 3)
return im, out, h
def conv(x, hs, transp = False):
if transp:
return convolve_spatial2(x,hs[...,::-1,::-1])
else:
return convolve_spatial2(x, hs)
def test_conv2_reflect():
im = np.zeros((128, 128))
Gx, Gy = 4, 8
hs = psf_grid_motion(Gx, Gy, 100)
out = convolve_spatial2(im, hs, mode='reflect')
return im, out, hs
