1 /**
2 * Copyright 2019-2021 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 <iostream>
17 #include <memory>
18 #include <string>
19
20 #include "common/common.h"
21 #include "utils/ms_utils.h"
22 #include "minddata/dataset/core/client.h"
23 #include "minddata/dataset/engine/datasetops/source/voc_op.h"
24 #include "minddata/dataset/engine/datasetops/source/sampler/sampler.h"
25 #include "minddata/dataset/include/dataset/datasets.h"
26 #include "minddata/dataset/util/status.h"
27 #include "gtest/gtest.h"
28 #include "utils/log_adapter.h"
29 #include "securec.h"
30
31 namespace common = mindspore::common;
32
33 using namespace mindspore::dataset;
34 using mindspore::LogStream;
35 using mindspore::ExceptionType::NoExceptionType;
36 using mindspore::MsLogLevel::ERROR;
37
38 std::shared_ptr<ExecutionTree> Build(std::vector<std::shared_ptr<DatasetOp>> ops);
39
40 class MindDataTestVOCOp : public UT::DatasetOpTesting {
41 protected:
42 };
43
TEST_F(MindDataTestVOCOp,TestVOCDetection)44 TEST_F(MindDataTestVOCOp, TestVOCDetection) {
45 std::string dataset_path;
46 dataset_path = datasets_root_path_ + "/testVOC2012";
47 std::shared_ptr<Dataset> ds =
48 VOC(dataset_path, "Detection", "train", {}, false, std::make_shared<SequentialSampler>(0, 0));
49 EXPECT_NE(ds, nullptr);
50 std::shared_ptr<Iterator> iter = ds->CreateIterator();
51 EXPECT_NE(iter, nullptr);
52 std::unordered_map<std::string, mindspore::MSTensor> row;
53 ASSERT_OK(iter->GetNextRow(&row));
54 int row_count = 0;
55 while (row.size() != 0) {
56 auto image = row["image"];
57 auto label = row["label"];
58 MS_LOG(INFO) << "Tensor image shape: " << image.Shape();
59 MS_LOG(INFO) << "Tensor label shape: " << label.Shape();
60 ASSERT_OK(iter->GetNextRow(&row));
61 row_count++;
62 }
63 ASSERT_EQ(row_count, 9);
64 iter->Stop();
65 }
66
TEST_F(MindDataTestVOCOp,TestVOCSegmentation)67 TEST_F(MindDataTestVOCOp, TestVOCSegmentation) {
68 std::string dataset_path;
69 dataset_path = datasets_root_path_ + "/testVOC2012";
70 std::shared_ptr<Dataset> ds =
71 VOC(dataset_path, "Segmentation", "train", {}, false, std::make_shared<SequentialSampler>(0, 0));
72 EXPECT_NE(ds, nullptr);
73 std::shared_ptr<Iterator> iter = ds->CreateIterator();
74 EXPECT_NE(iter, nullptr);
75 std::unordered_map<std::string, mindspore::MSTensor> row;
76 ASSERT_OK(iter->GetNextRow(&row));
77 int row_count = 0;
78 while (!row.empty()) {
79 auto image = row["image"];
80 auto target = row["target"];
81 MS_LOG(INFO) << "Tensor image shape: " << image.Shape();
82 MS_LOG(INFO) << "Tensor target shape: " << target.Shape();
83 ASSERT_OK(iter->GetNextRow(&row));
84 row_count++;
85 }
86 ASSERT_EQ(row_count, 10);
87 iter->Stop();
88 }
89
TEST_F(MindDataTestVOCOp,TestVOCClassIndex)90 TEST_F(MindDataTestVOCOp, TestVOCClassIndex) {
91 std::string dataset_path;
92 dataset_path = datasets_root_path_ + "/testVOC2012";
93 std::map<std::string, int32_t> class_index;
94 class_index["car"] = 0;
95 class_index["cat"] = 1;
96 class_index["train"] = 5;
97 std::shared_ptr<Dataset> ds =
98 VOC(dataset_path, "Detection", "train", class_index, false, std::make_shared<SequentialSampler>(0, 0));
99 EXPECT_NE(ds, nullptr);
100 std::shared_ptr<Iterator> iter = ds->CreateIterator();
101 EXPECT_NE(iter, nullptr);
102 std::unordered_map<std::string, mindspore::MSTensor> row;
103 ASSERT_OK(iter->GetNextRow(&row));
104 int row_count = 0;
105 while (!row.empty()) {
106 auto image = row["image"];
107 auto label = row["label"];
108 MS_LOG(INFO) << "Tensor image shape: " << image.Shape();
109 MS_LOG(INFO) << "Tensor label shape: " << label.Shape();
110 ASSERT_OK(iter->GetNextRow(&row));
111 row_count++;
112 }
113 ASSERT_EQ(row_count, 6);
114 iter->Stop();
115 }
116