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FastDeploy/fastdeploy/vision/common/processors/convert.h
guxukai 4d57b62f83 [Doc] add vision processors cpp api doc (#1624)
* add vision processors cpp api doc

* add base class Processor in api doc

* Update base.h

---------

Co-authored-by: Wang Xinyu <shaywxy@gmail.com>
2023-03-17 13:20:38 +08:00

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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#pragma once
#include "fastdeploy/vision/common/processors/base.h"
namespace fastdeploy {
namespace vision {
/*! @brief Processor for convert images with given paramters.
*/
class FASTDEPLOY_DECL Convert : public Processor {
public:
Convert(const std::vector<float>& alpha, const std::vector<float>& beta);
bool ImplByOpenCV(Mat* mat);
#ifdef ENABLE_FLYCV
bool ImplByFlyCV(Mat* mat);
#endif
std::string Name() { return "Convert"; }
// Compute `result = mat * alpha + beta` directly by channel.
// The default behavior is the same as OpenCV's convertTo method.
/** \brief Process the input images
*
* \param[in] mat The input image data`result = mat * alpha + beta`
* \param[in] alpha The alpha channel data
* \param[in] beta The beta channel data
* \param[in] lib to define OpenCV or FlyCV or CVCUDA will be used.
* \return true if the process successed, otherwise false
*/
static bool Run(Mat* mat, const std::vector<float>& alpha,
const std::vector<float>& beta,
ProcLib lib = ProcLib::DEFAULT);
private:
std::vector<float> alpha_;
std::vector<float> beta_;
};
} // namespace vision
} // namespace fastdeploy