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- /**
- * Copyright 2021 Huawei Technologies Co., Ltd
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
- #include <sys/stat.h>
- #include <unistd.h>
- #include <fstream>
- #include <iostream>
- #include <map>
- #include <memory>
- #include <set>
- #include <string>
- #include <unordered_map>
- #include <unordered_set>
- #include <utility>
- #include <vector>
-
- #include "include/dataset/datasets.h"
- #include "include/dataset/iterator.h"
- #include "include/dataset/vision_lite.h"
- #include "include/dataset/transforms.h"
- #include "include/api/types.h"
-
- using mindspore::dataset::Album;
- using mindspore::dataset::Dataset;
- using mindspore::dataset::Iterator;
- using mindspore::dataset::SequentialSampler;
- using mindspore::dataset::TensorTransform;
- using mindspore::dataset::vision::ResizePreserveAR;
-
-
- int main(int argc, char **argv) {
- std::string folder_path = "./testAlbum/images";
- std::string schema_file = "./testAlbum/datasetSchema.json";
- std::vector<std::string> column_names = {"image", "label", "id"};
-
- // Create a Album Dataset
- std::shared_ptr<Dataset> ds =
- Album(folder_path, schema_file, column_names, true, std::make_shared<SequentialSampler>(0, 1));
- ds = ds->SetNumWorkers(1);
-
- std::shared_ptr<TensorTransform> resize(new ResizePreserveAR(1000, 1000));
- ds = ds->Map({resize}, {"image"}, {"image", "ratio", "invM"});
-
- std::shared_ptr<Iterator> iter = ds->CreateIterator();
-
- std::unordered_map<std::string, mindspore::MSTensor> row;
- iter->GetNextRow(&row);
-
- uint64_t i = 0;
- while (row.size() != 0) {
- i++;
- iter->GetNextRow(&row);
- }
-
- iter->Stop();
- }
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