1 /**
2 * Copyright 2020 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_posterize_op.h"
19 #include "minddata/dataset/include/dataset/execute.h"
20 #include "minddata/dataset/include/dataset/vision.h"
21 #include "minddata/dataset/core/cv_tensor.h"
22 #include "utils/log_adapter.h"
23
24 using namespace mindspore::dataset;
25 using mindspore::LogStream;
26 using mindspore::ExceptionType::NoExceptionType;
27 using mindspore::MsLogLevel::INFO;
28
29 class MindDataTestRandomPosterizeOp : public UT::CVOP::CVOpCommon {
30 };
31
TEST_F(MindDataTestRandomPosterizeOp,TestOp1)32 TEST_F(MindDataTestRandomPosterizeOp, TestOp1) {
33 MS_LOG(INFO) << "Doing testRandomPosterize.";
34
35 std::shared_ptr<Tensor> output_tensor;
36 std::unique_ptr<RandomPosterizeOp> op(new RandomPosterizeOp({1, 1}));
37 EXPECT_TRUE(op->OneToOne());
38 Status s = op->Compute(input_tensor_, &output_tensor);
39 EXPECT_TRUE(s.IsOk());
40 CheckImageShapeAndData(output_tensor, kRandomPosterize);
41 }
42
TEST_F(MindDataTestRandomPosterizeOp,TestOp2)43 TEST_F(MindDataTestRandomPosterizeOp, TestOp2) {
44 // Test Eager RandomPosterize image = (h, w, c)
45 MS_LOG(INFO) << "Doing VisionRandomPosterizeTest.";
46 std::shared_ptr<Tensor> de_tensor;
47 std::string dataset_root_path = "data/dataset";
48 Tensor::CreateFromFile(dataset_root_path + "/testPK/data/class1/0.jpg", &de_tensor);
49 auto image = mindspore::MSTensor(std::make_shared<DETensor>(de_tensor));
50 std::shared_ptr<TensorTransform> decode_op = std::make_shared<vision::Decode>();
51 std::shared_ptr<TensorTransform> randomposterize_op(new vision::RandomPosterize({3, 5}));
52 auto transform = Execute({decode_op, randomposterize_op});
53 Status rc = transform(image, &image);
54 EXPECT_TRUE(rc.IsOk());
55 EXPECT_EQ(image.Shape().size(), 3);
56 EXPECT_EQ(image.Shape()[2], 3);
57 }
58
TEST_F(MindDataTestRandomPosterizeOp,TestOp3)59 TEST_F(MindDataTestRandomPosterizeOp, TestOp3) {
60 // Test Eager RandomSolarize image.size = {2, 2, 2, 1}
61 MS_LOG(INFO) << "Doing VisionRandomSolarizeTest.";
62
63 std::shared_ptr<Tensor> de_tensor;
64 Tensor::CreateFromVector(std::vector<uint8_t>({0, 25, 120, 0, 38, 2, 10, 13}), TensorShape({2, 2, 2, 1}), &de_tensor);
65 auto image = mindspore::MSTensor(std::make_shared<DETensor>(de_tensor));
66 std::shared_ptr<TensorTransform> randomsolarize_op(new vision::RandomSolarize({12, 25}));
67 auto transform = Execute({randomsolarize_op});
68 Status rc = transform(image, &image);
69 EXPECT_TRUE(rc.IsError());
70 }
71