Files
FastDeploy/fastdeploy/vision/common/processors/pad.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

90 lines
2.7 KiB
C++

// 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"
#ifdef ENABLE_CVCUDA
#include <cvcuda/OpCopyMakeBorder.hpp>
#include "fastdeploy/vision/common/processors/cvcuda_utils.h"
#endif
namespace fastdeploy {
namespace vision {
/*! @brief Processor for padding images.
*/
class FASTDEPLOY_DECL Pad : public Processor {
public:
Pad(int top, int bottom, int left, int right,
const std::vector<float>& value) {
top_ = top;
bottom_ = bottom;
left_ = left;
right_ = right;
value_ = value;
}
bool ImplByOpenCV(Mat* mat);
#ifdef ENABLE_FLYCV
bool ImplByFlyCV(Mat* mat);
#endif
#ifdef ENABLE_CVCUDA
bool ImplByCvCuda(FDMat* mat);
#endif
std::string Name() { return "Pad"; }
/** \brief Process the input images
*
* \param[in] mat The input image data, `result = mat * alpha + beta`
* \param[in] top top pad size of the output image.
* \param[in] bottom bottom pad size of the output image.
* \param[in] left left pad size of the output image.
* \param[in] right right pad size of the output image.
* \param[in] value value vector used by padding of the output image.
* \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 int& top, const int& bottom, const int& left,
const int& right, const std::vector<float>& value,
ProcLib lib = ProcLib::DEFAULT);
/** \brief Process the input images
*
* \param[in] top set the value of the top parameter
* \param[in] bottom set the value of the bottom parameter
* \param[in] left set the value of the left parameter
* \param[in] right set the value of the right parameter
*/
bool SetPaddingSize(int top, int bottom, int left, int right) {
top_ = top;
bottom_ = bottom;
left_ = left;
right_ = right;
return true;
}
private:
int top_;
int bottom_;
int left_;
int right_;
std::vector<float> value_;
#ifdef ENABLE_CVCUDA
cvcuda::CopyMakeBorder cvcuda_pad_op_;
#endif
};
} // namespace vision
} // namespace fastdeploy