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4d57b62f83
* add vision processors cpp api doc * add base class Processor in api doc * Update base.h --------- Co-authored-by: Wang Xinyu <shaywxy@gmail.com>
89 lines
2.7 KiB
C++
89 lines
2.7 KiB
C++
// 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 and permute images from HWC to CHW.
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*/
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class FASTDEPLOY_DECL ConvertAndPermute : public Processor {
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public:
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ConvertAndPermute(const std::vector<float>& alpha = std::vector<float>(),
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const std::vector<float>& beta = std::vector<float>(),
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bool swap_rb = false);
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bool ImplByOpenCV(FDMat* mat);
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#ifdef ENABLE_FLYCV
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bool ImplByFlyCV(FDMat* mat);
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#endif
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std::string Name() { return "ConvertAndPermute"; }
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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(FDMat* mat, const std::vector<float>& alpha,
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const std::vector<float>& beta, bool swap_rb = false,
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ProcLib lib = ProcLib::DEFAULT);
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std::vector<float> GetAlpha() const { return alpha_; }
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/** \brief Process the input images
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*
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* \param[in] alpha set the value of the alpha parameter
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*/
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void SetAlpha(const std::vector<float>& alpha) {
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alpha_.clear();
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std::vector<float>().swap(alpha_);
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alpha_.assign(alpha.begin(), alpha.end());
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}
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std::vector<float> GetBeta() const { return beta_; }
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/** \brief Process the input images
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*
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* \param[in] beta set the value of the beta parameter
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*/
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void SetBeta(const std::vector<float>& beta) {
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beta_.clear();
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std::vector<float>().swap(beta_);
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beta_.assign(beta.begin(), beta.end());
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}
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bool GetSwapRB() {
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return swap_rb_;
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}
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/** \brief Process the input images
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*
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* \param[in] swap_rb set the value of the swap_rb parameter
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*/
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void SetSwapRB(bool swap_rb) {
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swap_rb_ = swap_rb;
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}
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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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bool swap_rb_;
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};
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} // namespace vision
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} // namespace fastdeploy
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