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/third_party/mindspore/tests/ut/python/dataset/
Dtest_linear_transformation.py42 mean_vector = np.zeros(dim)
57 data1 = data1.map(operations=py_vision.LinearTransformation(transformation_matrix, mean_vector),
91 mean_vector = np.zeros(dim)
99 py_vision.LinearTransformation(transformation_matrix, mean_vector)
120 mean_vector = np.zeros(dim)
129 py_vision.LinearTransformation(None, mean_vector)
179 mean_vector = np.zeros(dim)
188 py_vision.LinearTransformation(transformation_matrix, mean_vector)
209 mean_vector = np.zeros(dim - 1)
218 py_vision.LinearTransformation(transformation_matrix, mean_vector)
/third_party/mindspore/mindspore/dataset/vision/
Dpy_transforms.py1172 def __init__(self, transformation_matrix, mean_vector): argument
1174 self.mean_vector = mean_vector
1187 return util.linear_transform(np_img, self.transformation_matrix, self.mean_vector)
Dvalidators.py665 [transformation_matrix, mean_vector], _ = parse_user_args(method, *args, **kwargs)
667 type_check(mean_vector, (np.ndarray,), "mean_vector")
672 if mean_vector.shape[0] != transformation_matrix.shape[0]:
674 … "transformation_matrix {1}.".format(mean_vector.shape[0], transformation_matrix.shape))
Dpy_transforms_util.py1043 def linear_transform(np_img, transformation_matrix, mean_vector): argument
1066 if mean_vector.shape[0] != transformation_matrix.shape[0]:
1068 … "transformation_matrix {1}.".format(mean_vector.shape[0], transformation_matrix.shape))
1069 zero_centered_img = np_img.reshape(1, -1) - mean_vector