1 /** 2 * Copyright 2019 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 #ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_RESIZE_OP_H_ 17 #define MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_RESIZE_OP_H_ 18 19 #include <memory> 20 #include <vector> 21 #include <string> 22 23 #include "minddata/dataset/core/tensor.h" 24 #ifndef ENABLE_ANDROID 25 #include "minddata/dataset/kernels/image/image_utils.h" 26 #else 27 #include "minddata/dataset/kernels/image/lite_image_utils.h" 28 #endif 29 #include "minddata/dataset/kernels/tensor_op.h" 30 #include "minddata/dataset/util/status.h" 31 32 namespace mindspore { 33 namespace dataset { 34 class ResizeOp : public TensorOp { 35 public: 36 // Default values, also used by python_bindings.cc 37 static const int32_t kDefWidth; 38 static const InterpolationMode kDefInterpolation; 39 40 // Resizes the image to the output specified size. If only one value is provided, 41 // the it will resize the smaller size and maintains the aspect ratio. 42 // @param size1: the first size of output. If only this parameter is provided 43 // the smaller dimension will be resized to this and then the other dimension changes 44 // such that the aspect ratio is maintained. 45 // @param size2: the second size of output. If this is also provided, the output size 46 // will be (size1, size2) 47 // @param InterpolationMode: the interpolation mode being used. 48 explicit ResizeOp(int32_t size1, int32_t size2 = kDefWidth, InterpolationMode interpolation = kDefInterpolation) size1_(size1)49 : size1_(size1), size2_(size2), interpolation_(interpolation) {} 50 51 ResizeOp(const ResizeOp &rhs) = default; 52 53 ResizeOp(ResizeOp &&rhs) = default; 54 55 ~ResizeOp() override = default; 56 Print(std::ostream & out)57 void Print(std::ostream &out) const override { out << Name() << ": " << size1_ << " " << size2_; } 58 59 Status Compute(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output) override; 60 Status OutputShape(const std::vector<TensorShape> &inputs, std::vector<TensorShape> &outputs) override; 61 Name()62 std::string Name() const override { return kResizeOp; } 63 64 protected: 65 int32_t size1_; 66 int32_t size2_; 67 InterpolationMode interpolation_; 68 }; 69 } // namespace dataset 70 } // namespace mindspore 71 72 #endif // MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_RESIZE_OP_H_ 73