// Copyright (c) 2021 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 "model_deploy/paddlex/include/x_postprocess.h" namespace PaddleDeploy { bool XPostprocess::Init(const YAML::Node& yaml_config) { model_type_ = yaml_config["model_type"].as(); if (model_type_ == "segmenter") { seg_post_process.Init(yaml_config); } else if (model_type_ == "detector") { det_post_process.Init(yaml_config); } else if (model_type_ == "classifier") { clas_post_process.Init(yaml_config); } else { std::cerr << "[ERROR] Unexpected model type '" << model_type_ << "' for PaddleX" << std::endl; return false; } return true; } bool XPostprocess::Run(const std::vector& outputs, const std::vector& shape_infos, std::vector* results, int thread_num) { results->clear(); results->resize(shape_infos.size()); if (model_type_ == "segmenter") { return seg_post_process.Run(outputs, shape_infos, results, thread_num); } else if (model_type_ == "classifier") { return clas_post_process.Run(outputs, shape_infos, results, thread_num); } else if (model_type_ == "detector") { return det_post_process.Run(outputs, shape_infos, results, thread_num); } else { std::cerr << "[ERROR] Unexpected model_type: '" << model_type_ << "' in postprocess" << std::endl; return false; } return true; } } // namespace PaddleDeploy