def transform(self, translation, theta, method='opencv'):
"""Create a new image by translating and rotating the current image.
Parameters
----------
translation : :obj:`numpy.ndarray` of float
The XY translation vector.
theta : float
Rotation angle in radians, with positive meaning counter-clockwise.
method : :obj:`str`
Method to use for image transformations (opencv or scipy)
Returns
-------
:obj:`Image`
An image of the same type that has been rotated and translated.
"""
theta = np.rad2deg(theta)
trans_map = np.float32(
[[1, 0, translation[1]], [0, 1, translation[0]]])
rot_map = cv2.getRotationMatrix2D(
(self.center[1], self.center[0]), theta, 1)
trans_map_aff = np.r_[trans_map, [[0, 0, 1]]]
rot_map_aff = np.r_[rot_map, [[0, 0, 1]]]
full_map = rot_map_aff.dot(trans_map_aff)
full_map = full_map[:2, :]
if method == 'opencv':
im_data_tf = cv2.warpAffine(
self.data, full_map, (self.width, self.height), flags=cv2.INTER_NEAREST)
else:
im_data_tf = sni.affine_transform(self.data,
matrix=full_map[:, :2],
offset=full_map[:, 2],
order=0)
return type(self)(
im_data_tf.astype(
self.data.dtype),
frame=self._frame)
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