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1 /**
2  * Copyright 2020-2023 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 <string>
22 #include <vector>
23 
24 #include "minddata/dataset/core/tensor.h"
25 #include "minddata/dataset/kernels/tensor_op.h"
26 #include "minddata/dataset/util/status.h"
27 
28 namespace mindspore {
29 namespace dataset {
30 class RandomCropAndResizeOp : public RandomTensorOp {
31  public:
32   RandomCropAndResizeOp(int32_t target_height, int32_t target_width, float scale_lb, float scale_ub, float aspect_lb,
33                         float aspect_ub, InterpolationMode interpolation, int32_t max_attempts);
34 
35   RandomCropAndResizeOp() = default;
36 
37   RandomCropAndResizeOp(const RandomCropAndResizeOp &rhs) = default;
38 
39   RandomCropAndResizeOp(RandomCropAndResizeOp &&rhs) = default;
40 
41   ~RandomCropAndResizeOp() override = default;
42 
Print(std::ostream & out)43   void Print(std::ostream &out) const override {
44     out << "RandomCropAndResize: " << target_height_ << " " << target_width_;
45   }
46 
47   Status Compute(const TensorRow &input, TensorRow *output) override;
48 
49   Status OutputShape(const std::vector<TensorShape> &inputs, std::vector<TensorShape> &outputs) override;
50 
51   TensorShape ComputeOutputShape(const TensorShape &input) const;
52 
53   Status GetCropBox(int h_in, int w_in, int *x, int *y, int *crop_height, int *crop_width);
54 
Name()55   std::string Name() const override { return kRandomCropAndResizeOp; }
56 
NumInput()57   uint32_t NumInput() override { return 1; }
58 
NumOutput()59   uint32_t NumOutput() override { return 1; }
60 
61  protected:
62   int32_t target_height_;
63   int32_t target_width_;
64   std::uniform_real_distribution<float> rnd_scale_;
65   std::uniform_real_distribution<float> rnd_aspect_;
66   InterpolationMode interpolation_;
67   int32_t max_iter_;
68   double aspect_lb_;
69   double aspect_ub_;
70 };
71 }  // namespace dataset
72 }  // namespace mindspore
73 #endif  // MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_RANDOM_CROP_AND_RESIZE_OP_H_
74