53 lines
1.8 KiB
C
53 lines
1.8 KiB
C
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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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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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#pragma once
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#include "fastdeploy/vision/common/processors/base.h"
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namespace fastdeploy {
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namespace vision {
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/*! @brief Processor for convert images with given paramters.
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*/
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class FASTDEPLOY_DECL Convert : public Processor {
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public:
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Convert(const std::vector<float>& alpha, const std::vector<float>& beta);
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bool ImplByOpenCV(Mat* mat);
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#ifdef ENABLE_FLYCV
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bool ImplByFlyCV(Mat* mat);
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#endif
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std::string Name() { return "Convert"; }
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// Compute `result = mat * alpha + beta` directly by channel.
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// The default behavior is the same as OpenCV's convertTo method.
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/** \brief Process the input images
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*
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* \param[in] mat The input image data，`result = mat * alpha + beta`
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* \param[in] alpha The alpha channel data
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* \param[in] beta The beta channel data
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* \param[in] lib to define OpenCV or FlyCV or CVCUDA will be used.
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* \return true if the process successed, otherwise false
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*/
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static bool Run(Mat* mat, const std::vector<float>& alpha,
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const std::vector<float>& beta,
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ProcLib lib = ProcLib::DEFAULT);
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private:
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std::vector<float> alpha_;
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std::vector<float> beta_;
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};
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} // namespace vision
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} // namespace fastdeploy
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