def test_image_array_hdf5(self):
myinfo = {
'field': 'dinosaurs',
'east_vector': np.array([1., 0., 0.]),
'north_vector': np.array([0., 0., 1.]),
'normal_vector': np.array([0., 1., 0.]),
'width': 0.245,
'type': 'rendering'
}
im_arr = ImageArray(dummy_image(0.3, 3), input_units='cm', info=myinfo)
im_arr.save('test_3d_ImageArray')
im = np.zeros([64, 128])
for i in xrange(im.shape[0]):
im[i, :] = np.linspace(0., 0.3 * 2, im.shape[1])
myinfo = {
'field': 'dinosaurs',
'east_vector': np.array([1., 0., 0.]),
'north_vector': np.array([0., 0., 1.]),
'normal_vector': np.array([0., 1., 0.]),
'width': 0.245,
'type': 'rendering'
}
im_arr = ImageArray(im, info=myinfo, input_units='cm')
im_arr.save('test_2d_ImageArray')
def test_image_array_rgb_png(self):
im = np.zeros([64, 128])
for i in range(im.shape[0]):
im[i, :] = np.linspace(0.0, 0.3 * 2, im.shape[1])
im_arr = ImageArray(im)
im_arr.save("standard-image", hdf5=False)
im_arr = ImageArray(dummy_image(10.0, 3))
im_arr.save("standard-png", hdf5=False)
def test_image_array_hdf5(self):
myinfo = {
"field": "dinosaurs",
"east_vector": np.array([1.0, 0.0, 0.0]),
"north_vector": np.array([0.0, 0.0, 1.0]),
"normal_vector": np.array([0.0, 1.0, 0.0]),
"width": 0.245,
"type": "rendering",
}
im_arr = ImageArray(dummy_image(0.3, 3), units="cm", info=myinfo)
im_arr.save("test_3d_ImageArray", png=False)
im = np.zeros([64, 128])
for i in range(im.shape[0]):
im[i, :] = np.linspace(0.0, 0.3 * 2, im.shape[1])
myinfo = {
"field": "dinosaurs",
"east_vector": np.array([1.0, 0.0, 0.0]),
"north_vector": np.array([0.0, 0.0, 1.0]),
"normal_vector": np.array([0.0, 1.0, 0.0]),
"width": 0.245,
"type": "rendering",
}
im_arr = ImageArray(im, info=myinfo, units="cm")
im_arr.save("test_2d_ImageArray", png=False)
im_arr.save("test_2d_ImageArray_ds", png=False, dataset_name="Random_DS")
