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1# Copyright 2021 Huawei Technologies Co., Ltd
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7# http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ============================================================================
15
16import numpy as np
17import pytest
18
19import mindspore
20import mindspore.context as context
21import mindspore.nn as nn
22from mindspore import Tensor
23from mindspore.ops import operations as P
24
25
26class NetBoundingBoxDecode(nn.Cell):
27    def __init__(self, means=(0.0, 0.0, 0.0, 0.0), stds=(1.0, 1.0, 1.0, 1.0)):
28        super(NetBoundingBoxDecode, self).__init__()
29        self.decode = P.BoundingBoxDecode(max_shape=(768, 1280), means=means, stds=stds,
30                                          wh_ratio_clip=0.016)
31
32    def construct(self, anchor, groundtruth):
33        return self.decode(anchor, groundtruth)
34
35@pytest.mark.level0
36@pytest.mark.platform_x86_cpu
37@pytest.mark.env_onecard
38def test_boundingbox_decode():
39    anchor = np.array([[4, 1, 2, 1], [2, 2, 2, 3]], np.float32)
40    deltas = np.array([[3, 1, 2, 2], [1, 2, 1, 4]], np.float32)
41    means = (0.1, 0.1, 0.2, 0.2)
42    stds = (2.0, 2.0, 3.0, 3.0)
43    anchor_box = Tensor(anchor, mindspore.float32)
44    deltas_box = Tensor(deltas, mindspore.float32)
45    expect_deltas = np.array([[28.6500, 0.0000, 0.0000, 33.8500],
46                              [0.0000, 0.0000, 15.8663, 72.7000]], np.float32)
47
48    error = np.ones(shape=[2, 4]) * 1.0e-4
49
50    context.set_context(mode=context.GRAPH_MODE, device_target='CPU')
51    boundingbox_decode = NetBoundingBoxDecode(means, stds)
52    output = boundingbox_decode(anchor_box, deltas_box)
53    diff = output.asnumpy() - expect_deltas
54    assert np.all(abs(diff) < error)
55
56    context.set_context(mode=context.PYNATIVE_MODE, device_target='CPU')
57    boundingbox_decode = NetBoundingBoxDecode(means, stds)
58    output = boundingbox_decode(anchor_box, deltas_box)
59    diff = output.asnumpy() - expect_deltas
60    assert np.all(abs(diff) < error)
61