1 /** 2 * Copyright 2020 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_SHARPNESS_OP_H_ 17 #define MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_SHARPNESS_OP_H_ 18 19 #include <memory> 20 #include <vector> 21 #include <string> 22 23 #include "minddata/dataset/core/tensor.h" 24 #include "minddata/dataset/kernels/tensor_op.h" 25 #include "minddata/dataset/util/status.h" 26 27 namespace mindspore { 28 namespace dataset { 29 class SharpnessOp : public TensorOp { 30 public: 31 /// Default values, also used by bindings.cc 32 static const float kDefAlpha; 33 34 /// This class can be used to adjust the sharpness of an image. 35 /// \@param[in] alpha A float indicating the enhancement factor. 36 /// a factor of 0.0 gives a blurred image, a factor of 1.0 gives the 37 /// original image, and a factor of 2.0 gives a sharpened image. 38 alpha_(alpha)39 explicit SharpnessOp(const float alpha = kDefAlpha) : alpha_(alpha) {} 40 41 ~SharpnessOp() override = default; 42 43 Status Compute(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output) override; 44 Name()45 std::string Name() const override { return kSharpnessOp; } 46 47 protected: 48 float alpha_; 49 }; 50 } // namespace dataset 51 } // namespace mindspore 52 53 #endif // MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_SHARPNESS_OP_H_ 54