def test_show_reconstructed_image(self) :
data = Image.open('sampledata/Shepp_logan.png')
data = data.convert('L')
data = numpy.array(data)
data = numpy.fft.fft2(data)
kspace = kSpace(data)
kspace.recon()
kspace.show()
def main():
#kspace = kSpace(numpy.zeros((5,5)))
#kspace = kSpace(numpy.array([
# [ [1, 2, 3], [1, 2, 3], [1, 2, 3] ],
# [ [1, 2, 3], [1, 2, 3], [1, 2, 3] ],
# [ [1, 2, 3], [1, 2, 3], [1, 2, 3] ] ]))
#kspace.IFT()
#print(kspace.image)
#kspace = kSpace(numpy.random.rand(512, 512, 512))
#kspace.recon()
kspace2 = kSpace(numpy.random.rand(10000, 10000))
kspace2.recon()
def setUp(self) :
self.kspace = kSpace(numpy.array([ [1, 2, 3, 4, 5],
[1, 2, 3, 4, 5],
[1, 2, 3, 4, 5],
[1, 2, 3, 4, 5],
[1, 2, 3, 4, 5] ]))
def test_require_two_or_three_dimensions(self) :
self.assertEqual(self.kspace.data.shape, (5, 5, 5))
with self.assertRaises(ValueError) :
kspace = kSpace(numpy.zeros((1)))
def test_require_numpy_array(self) :
self.assertEqual(type(self.kspace.data), numpy.ndarray)
with self.assertRaises(TypeError) :
kspace = kSpace([[1, 2], [1, 2]])
def setUp(self) :
self.kspace = kSpace(numpy.zeros((5, 5, 5)))
def setUp(self) :
self.kspace = kSpace(numpy.random.rand(256,256,256))
def setUp(self) :
self.kspace = kSpace(numpy.array([
[ [1, 2, 3], [1, 2, 3], [1, 2, 3] ],
[ [1, 2, 3], [1, 2, 3], [1, 2, 3] ],
[ [1, 2, 3], [1, 2, 3], [1, 2, 3] ] ]))