1 /**
2 * Copyright 2021 Huawei Technologies Co., Ltd
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16 #include "common/common.h"
17 #include "common/cvop_common.h"
18 #include "minddata/dataset/kernels/image/random_crop_op.h"
19 #include "utils/log_adapter.h"
20
21 using namespace mindspore::dataset;
22 using mindspore::LogStream;
23 using mindspore::ExceptionType::NoExceptionType;
24 using mindspore::MsLogLevel::INFO;
25
26 class MindDataTestRandomCropOp : public UT::CVOP::CVOpCommon {
27 protected:
MindDataTestRandomCropOp()28 MindDataTestRandomCropOp() : CVOpCommon() {}
29
30 TensorRow output_tensor_row;
31 };
32
TEST_F(MindDataTestRandomCropOp,TestOp1)33 TEST_F(MindDataTestRandomCropOp, TestOp1) {
34 MS_LOG(INFO) << "Doing testRandomCrop.";
35 // Crop params
36 unsigned int crop_height = 128;
37 unsigned int crop_width = 128;
38 std::unique_ptr<RandomCropOp> op(new RandomCropOp(crop_height, crop_width, 0, 0, 0, 0, false, BorderType::kConstant));
39 TensorRow input_tensor_row;
40 input_tensor_row.push_back(input_tensor_);
41 input_tensor_row.push_back(input_tensor_);
42 Status s = op->Compute(input_tensor_row, &output_tensor_row);
43 for (size_t i = 0; i < input_tensor_row.size(); i++) {
44 size_t actual = 0;
45 if (s == Status::OK()) {
46 actual = output_tensor_row[i]->shape()[0] * output_tensor_row[i]->shape()[1] * output_tensor_row[i]->shape()[2];
47 }
48 EXPECT_EQ(actual, crop_height * crop_width * 3);
49 EXPECT_EQ(s, Status::OK());
50 }
51 }
52
TEST_F(MindDataTestRandomCropOp,TestOp2)53 TEST_F(MindDataTestRandomCropOp, TestOp2) {
54 MS_LOG(INFO) << "Doing testRandomCrop.";
55 // Crop params
56 unsigned int crop_height = 1280;
57 unsigned int crop_width = 1280;
58 TensorRow input_tensor_row;
59 input_tensor_row.push_back(input_tensor_);
60 input_tensor_row.push_back(input_tensor_);
61 std::unique_ptr<RandomCropOp> op(
62 new RandomCropOp(crop_height, crop_width, 513, 513, 513, 513, false, BorderType::kConstant));
63 Status s = op->Compute(input_tensor_row, &output_tensor_row);
64 EXPECT_EQ(true, s.IsOk());
65 MS_LOG(INFO) << "testRandomCrop end.";
66 }
67