def tensor_of_warp_volumes_by_ddf(input_, ddf):
grid_warped = util.get_reference_grid(
ddf.shape[1:4]
) + ddf #这种情况ddf会被转化为tf.constant https://stackoverflow.com/questions/49239136/what-happens-when-you-add-a-tensor-with-a-numpy-array
warped = util.resample_linear(tf.cast(input_, dtype=tf.float32),
grid_warped)
return warped
def warp_FIX_image(self, input_):
return util.resample_linear(input_, self.grid_warped_FIX_MV)
def warp_image(self,image,ddf):
return util.resample_linear(image, ddf)