shenwei41
4 years ago
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/**
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* Copyright 2021 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "minddata/dataset/kernels/image/resize_preserve_ar_op.h"
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#ifdef ENABLE_ANDROID
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#include "minddata/dataset/kernels/image/lite_image_utils.h"
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#endif
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#include "minddata/dataset/util/status.h"
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namespace mindspore {
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namespace dataset {
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const int32_t ResizePreserveAROp::kDefImgorientation = 0;
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ResizePreserveAROp::ResizePreserveAROp(int32_t height, int32_t width, int32_t img_orientation)
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: height_(height), width_(width), img_orientation_(img_orientation) {}
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Status ResizePreserveAROp::Compute(const TensorRow &inputs, TensorRow *outputs) {
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IO_CHECK_VECTOR(inputs, outputs);
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#ifdef ENABLE_ANDROID
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return ResizePreserve(inputs, height_, width_, img_orientation_, outputs);
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#endif
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return Status::OK();
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}
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} // namespace dataset
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} // namespace mindspore
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/**
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* Copyright 2021 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_RESIZE_PRESERVE_AR_OP_H_
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#define MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_RESIZE_PRESERVE_AR_OP_H_
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#include <memory>
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#include <vector>
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#include <string>
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#include "minddata/dataset/core/tensor.h"
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#ifndef ENABLE_ANDROID
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#include "minddata/dataset/kernels/image/image_utils.h"
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#else
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#include "minddata/dataset/kernels/image/lite_image_utils.h"
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#endif
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#include "minddata/dataset/kernels/tensor_op.h"
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#include "minddata/dataset/util/status.h"
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namespace mindspore {
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namespace dataset {
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class ResizePreserveAROp : public TensorOp {
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public:
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// Default values, also used by python_bindings.cc
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static const int32_t kDefImgorientation;
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ResizePreserveAROp(int32_t height, int32_t width, int32_t img_orientation = kDefImgorientation);
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~ResizePreserveAROp() override = default;
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Status Compute(const TensorRow &input, TensorRow *output) override;
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std::string Name() const override { return kResizePreserveAROp; }
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protected:
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int32_t height_;
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int32_t width_;
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int32_t img_orientation_;
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};
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} // namespace dataset
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_RESIZE_PRESERVE_AR_OP_H_
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/**
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* Copyright 2021 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include <sys/stat.h>
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#include <unistd.h>
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#include <fstream>
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#include <iostream>
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#include <map>
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#include <memory>
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#include <set>
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#include <string>
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#include <unordered_map>
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#include <unordered_set>
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#include <utility>
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#include <vector>
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#include "include/datasets.h"
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#include "include/iterator.h"
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#include "include/vision_lite.h"
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#include "include/transforms.h"
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#include "include/api/types.h"
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using mindspore::dataset::Album;
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using mindspore::dataset::Dataset;
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using mindspore::dataset::Iterator;
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using mindspore::dataset::SequentialSampler;
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using mindspore::dataset::TensorTransform;
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using mindspore::dataset::vision::ResizePreserveAR;
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int main(int argc, char **argv) {
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std::string folder_path = "./testAlbum/images";
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std::string schema_file = "./testAlbum/datasetSchema.json";
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std::vector<std::string> column_names = {"image", "label", "id"};
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// Create a Album Dataset
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std::shared_ptr<Dataset> ds =
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Album(folder_path, schema_file, column_names, true, std::make_shared<SequentialSampler>(0, 1));
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ds = ds->SetNumWorkers(1);
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std::shared_ptr<TensorTransform> resize(new ResizePreserveAR(1000, 1000));
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ds = ds->Map({resize}, {"image"}, {"image", "ratio", "invM"});
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std::shared_ptr<Iterator> iter = ds->CreateIterator();
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std::unordered_map<std::string, mindspore::MSTensor> row;
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iter->GetNextRow(&row);
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uint64_t i = 0;
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while (row.size() != 0) {
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i++;
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iter->GetNextRow(&row);
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}
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iter->Stop();
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}
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