// 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. #include "fastdeploy/vision/common/processors/limit_short.h" namespace fastdeploy { namespace vision { bool LimitShort::CpuRun(Mat* mat) { cv::Mat* im = mat->GetCpuMat(); int origin_w = im->cols; int origin_h = im->rows; int im_size_min = std::min(origin_w, origin_h); int target = im_size_min; if (max_short_ > 0 && im_size_min > max_short_) { target = max_short_; } else if (min_short_ > 0 && im_size_min < min_short_) { target = min_short_; } double scale = -1.f; if (target != im_size_min) { scale = static_cast(target) / static_cast(im_size_min); } if (scale > 0) { cv::resize(*im, *im, cv::Size(), scale, scale, interp_); mat->SetWidth(im->cols); mat->SetHeight(im->rows); } return true; } #ifdef ENABLE_OPENCV_CUDA bool LimitShort::GpuRun(Mat* mat) { cv::cuda::GpuMat* im = mat->GetGpuMat(); int origin_w = im->cols; int origin_h = im->rows; im->convertTo(*im, CV_32FC(im->channels())); int im_size_min = std::min(origin_w, origin_h); int target = im_size_min; if (max_short_ > 0 && im_size_min > max_short_) { target = max_short_; } else if (min_short_ > 0 && im_size_min < min_short_) { target = min_short_; } double scale = -1.f; if (target != im_size_min) { scale = static_cast(target) / static_cast(im_size_min); } if (scale > 0) { cv::cuda::resize(*im, *im, cv::Size(), scale, scale, interp_); mat->SetWidth(im->cols); mat->SetHeight(im->rows); } return true; } #endif bool LimitShort::Run(Mat* mat, int max_short, int min_short, ProcLib lib) { auto l = LimitShort(max_short, min_short); return l(mat, lib); } } // namespace vision } // namespace fastdeploy