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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>
94 lines
2.8 KiB
C++
94 lines
2.8 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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#ifdef ENABLE_CVCUDA
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#include <cvcuda/OpResize.hpp>
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#include "fastdeploy/vision/common/processors/cvcuda_utils.h"
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#endif
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namespace fastdeploy {
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namespace vision {
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/*! @brief Processor for Resize images.
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*/
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class FASTDEPLOY_DECL Resize : public Processor {
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public:
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Resize(int width, int height, float scale_w = -1.0, float scale_h = -1.0,
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int interp = 1, bool use_scale = false) {
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width_ = width;
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height_ = height;
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scale_w_ = scale_w;
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scale_h_ = scale_h;
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interp_ = interp;
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use_scale_ = use_scale;
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}
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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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#ifdef ENABLE_CVCUDA
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bool ImplByCvCuda(FDMat* mat);
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#endif
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std::string Name() { return "Resize"; }
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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] width width of the output image.
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* \param[in] height height of the output image.
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* \param[in] scale_w scale of width, deafult is -1.0.
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* \param[in] scale_h scale of height, deafult is -1.0.
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* \param[in] interp interpolation method, deafult is 1.
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* \param[in] use_scale to define wheather to scale the image, deafult is true.
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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, int width, int height, float scale_w = -1.0,
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float scale_h = -1.0, int interp = 1, bool use_scale = false,
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ProcLib lib = ProcLib::DEFAULT);
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/** \brief Process the input images
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*
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* \param[in] width set the value of the width parameter
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* \param[in] height set the value of the height parameter
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*/
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bool SetWidthAndHeight(int width, int height) {
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width_ = width;
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height_ = height;
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return true;
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}
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std::tuple<int, int> GetWidthAndHeight() {
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return std::make_tuple(width_, height_);
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}
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private:
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int width_;
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int height_;
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float scale_w_ = -1.0;
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float scale_h_ = -1.0;
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int interp_ = 1;
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bool use_scale_ = false;
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#ifdef ENABLE_CVCUDA
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cvcuda::Resize cvcuda_resize_op_;
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#endif
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};
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} // namespace vision
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} // namespace fastdeploy
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