def __test_shape(self, n):
mat = numpy.random.rand(n,n)
msg = serialize_matrix(mat)
mat2 = deserialize_matrix(msg)
eps = numpy.absolute(mat2 - mat).max()
self.assertLess(eps, 0.00001)
def deserialize(project: 'Project', msg: 'ser.Image.Reader') -> 'ImageLayer':
transform = deserialize_matrix(msg.transform.matrix)
obj = ImageLayer(project, msg.name, msg.data, transform)
project.scontext.set_sid(msg.sid, obj)
obj._project = project
meta_which = msg.transform.meta.which()
if meta_which == "noMeta":
obj.set_alignment(None)
elif meta_which == "keypointTransformMeta":
obj.set_alignment(KeyPointAlignment.deserialize(project, msg.transform.meta.keypointTransformMeta))
elif meta_which == "rectTransformMeta":
obj.set_alignment(RectAlignment.deserialize(msg.transform.meta.rectTransformMeta))
else:
raise NotImplementedError()
return obj
def deserialize(project, msg):
transform = deserialize_matrix(msg.transform.matrix)
obj = ImageLayer(msg.name, msg.data, transform)
project.scontext.set_sid(msg.sid, obj)
obj._project = project
meta_which = msg.transform.meta.which()
if meta_which == "noMeta":
obj.set_alignment(None)
elif meta_which == "keypointTransformMeta":
obj.set_alignment(KeyPointAlignment.deserialize(project, msg.transform.meta.keypointTransformMeta))
elif meta_which == "rectTransformMeta":
obj.set_alignment(RectAlignment.deserialize(msg.transform.meta.rectTransformMeta))
else:
raise NotImplementedError()
return obj
