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 #ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_RANDOM_CROP_AND_RESIZE_OP_H_ 17 #define MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_RANDOM_CROP_AND_RESIZE_OP_H_ 18 19 #include <memory> 20 #include <random> 21 #include <vector> 22 #include <string> 23 24 #include "minddata/dataset/core/tensor.h" 25 #include "minddata/dataset/kernels/image/image_utils.h" 26 #include "minddata/dataset/kernels/tensor_op.h" 27 #include "minddata/dataset/util/status.h" 28 29 namespace mindspore { 30 namespace dataset { 31 class RandomCropAndResizeOp : public TensorOp { 32 public: 33 // Default values, also used by python_bindings.cc 34 static const float kDefScaleLb; 35 static const float kDefScaleUb; 36 static const float kDefAspectLb; 37 static const float kDefAspectUb; 38 static const InterpolationMode kDefInterpolation; 39 static const int32_t kDefMaxIter; 40 41 RandomCropAndResizeOp(int32_t target_height, int32_t target_width, float scale_lb = kDefScaleLb, 42 float scale_ub = kDefScaleUb, float aspect_lb = kDefAspectLb, float aspect_ub = kDefAspectUb, 43 InterpolationMode interpolation = kDefInterpolation, int32_t max_attempts = kDefMaxIter); 44 45 RandomCropAndResizeOp() = default; 46 47 RandomCropAndResizeOp(const RandomCropAndResizeOp &rhs) = default; 48 49 RandomCropAndResizeOp(RandomCropAndResizeOp &&rhs) = default; 50 51 ~RandomCropAndResizeOp() override = default; 52 Print(std::ostream & out)53 void Print(std::ostream &out) const override { 54 out << "RandomCropAndResize: " << target_height_ << " " << target_width_; 55 } 56 57 Status Compute(const TensorRow &input, TensorRow *output) override; 58 59 Status OutputShape(const std::vector<TensorShape> &inputs, std::vector<TensorShape> &outputs) override; 60 61 Status GetCropBox(int h_in, int w_in, int *x, int *y, int *crop_height, int *crop_width); 62 Name()63 std::string Name() const override { return kRandomCropAndResizeOp; } 64 NumInput()65 uint32_t NumInput() override { return -1; } 66 NumOutput()67 uint32_t NumOutput() override { return -1; } 68 69 protected: 70 int32_t target_height_; 71 int32_t target_width_; 72 std::uniform_real_distribution<float> rnd_scale_; 73 std::uniform_real_distribution<float> rnd_aspect_; 74 std::mt19937 rnd_; 75 InterpolationMode interpolation_; 76 int32_t max_iter_; 77 double aspect_lb_; 78 double aspect_ub_; 79 }; 80 } // namespace dataset 81 } // namespace mindspore 82 83 #endif // MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_RANDOM_CROP_AND_RESIZE_OP_H_ 84