def perturb_shape(self, gt_shape, noise_std=0.04, rotation=False):
r"""
Generates an initial shape by adding gaussian noise to the perfect
similarity alignment between the ground truth and reference_shape.
Parameters
-----------
gt_shape: :class:`menpo.shape.PointCloud`
The ground truth shape.
noise_std: float, optional
The standard deviation of the gaussian noise used to produce the
initial shape.
Default: 0.04
rotation: boolean, optional
Specifies whether ground truth in-plane rotation is to be used
to produce the initial shape.
Default: False
Returns
-------
initial_shape: :class:`menpo.shape.PointCloud`
The initial shape.
"""
reference_shape = self.reference_shape
return noisy_align(reference_shape, gt_shape, noise_std=noise_std,
rotation=rotation).apply(reference_shape)
def perturb_shape(self, gt_shape, noise_std=0.04, rotation=False):
r"""
Generates an initial shape by adding gaussian noise to the perfect
similarity alignment between the ground truth and reference_shape.
Parameters
-----------
gt_shape: :class:`menpo.shape.PointCloud`
The ground truth shape.
noise_std: float, optional
The standard deviation of the gaussian noise used to produce the
initial shape.
Default: 0.04
rotation: boolean, optional
Specifies whether ground truth in-plane rotation is to be used
to produce the initial shape.
Default: False
Returns
-------
initial_shape: :class:`menpo.shape.PointCloud`
The initial shape.
"""
reference_shape = self.reference_shape
return noisy_align(reference_shape,
gt_shape,
noise_std=noise_std,
rotation=rotation).apply(reference_shape)
def _perturb_shape(self, gt_shape):
r"""
Method that performs noisy alignment between the given ground truth
shape and the reference shape.
Parameters
----------
gt_shape : :map:`PointCloud`
The ground truth shape.
"""
return noisy_align(self.reference_shape, gt_shape,
noise_std=self.noise_std
).apply(self.reference_shape)
def _perturb_shape(self, gt_shape):
return noisy_align(self.reference_shape, gt_shape,
noise_std=self.noise_std
).apply(self.reference_shape)
