105 lines
2.9 KiB
C++
105 lines
2.9 KiB
C++
// Copyright (c) 2021 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 <fstream>
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#include <iostream>
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#include <map>
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#include <string>
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#include <vector>
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#include "json/json.h"
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#ifdef _WIN32
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#define OS_PATH_SEP "\\"
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#else
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#define OS_PATH_SEP "/"
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#endif
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namespace PaddleDetection {
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void load_jsonf(std::string jsonfile, Json::Value& jsondata);
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// Inference model configuration parser
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class ConfigPaser {
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public:
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ConfigPaser() {}
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~ConfigPaser() {}
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bool load_config(const std::string& model_dir,
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const std::string& cfg = "infer_cfg") {
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Json::Value config;
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load_jsonf(model_dir + OS_PATH_SEP + cfg + ".json", config);
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// Get model arch : YOLO, SSD, RetinaNet, RCNN, Face, PicoDet, HRNet
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if (config.isMember("arch")) {
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arch_ = config["arch"].as<std::string>();
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} else {
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std::cerr
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<< "Please set model arch,"
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<< "support value : YOLO, SSD, RetinaNet, RCNN, Face, PicoDet, HRNet."
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<< std::endl;
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return false;
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}
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// Get draw_threshold for visualization
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if (config.isMember("draw_threshold")) {
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draw_threshold_ = config["draw_threshold"].as<float>();
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} else {
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std::cerr << "Please set draw_threshold." << std::endl;
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return false;
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}
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// Get Preprocess for preprocessing
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if (config.isMember("Preprocess")) {
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preprocess_info_ = config["Preprocess"];
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} else {
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std::cerr << "Please set Preprocess." << std::endl;
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return false;
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}
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// Get label_list for visualization
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if (config.isMember("label_list")) {
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label_list_.clear();
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for (auto item : config["label_list"]) {
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label_list_.emplace_back(item.as<std::string>());
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}
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} else {
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std::cerr << "Please set label_list." << std::endl;
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return false;
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}
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// Get NMS for postprocess
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if (config.isMember("NMS")) {
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nms_info_ = config["NMS"];
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}
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// Get fpn_stride in PicoDet
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if (config.isMember("fpn_stride")) {
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fpn_stride_.clear();
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for (auto item : config["fpn_stride"]) {
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fpn_stride_.emplace_back(item.as<int>());
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}
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}
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return true;
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}
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float draw_threshold_;
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std::string arch_;
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Json::Value preprocess_info_;
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Json::Value nms_info_;
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std::vector<std::string> label_list_;
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std::vector<int> fpn_stride_;
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};
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} // namespace PaddleDetection
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