// 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 #include "fastdeploy/vision/common/processors/cvcuda_utils.h" #endif namespace fastdeploy { namespace vision { /*! @brief Processor for padding images with stride. */ class FASTDEPLOY_DECL StridePad : public Processor { public: // only support pad with left-top padding mode StridePad(int stride, const std::vector& value) { stride_ = stride; 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 "StridePad"; } /** \brief Process the input images * * \param[in] mat The input image data, `result = mat * alpha + beta` * \param[in] stride stride of the padding. * \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, int stride, const std::vector& value = std::vector(), ProcLib lib = ProcLib::DEFAULT); private: int stride_ = 32; std::vector value_; #ifdef ENABLE_CVCUDA cvcuda::CopyMakeBorder cvcuda_pad_op_; #endif }; } // namespace vision } // namespace fastdeploy