134 lines
5.4 KiB
C++
134 lines
5.4 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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#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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#include "include/utility.h"
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#include "yaml-cpp/yaml.h"
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#include <iomanip>
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#include <iostream>
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#include <map>
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#include <ostream>
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#include <string>
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#include <vector>
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namespace PaddleClas {
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class ClsConfig {
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public:
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explicit ClsConfig(const std::string &path) {
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ReadYamlConfig(path);
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this->infer_imgs =
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this->config_file["Global"]["infer_imgs"].as<std::string>();
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this->batch_size = this->config_file["Global"]["batch_size"].as<int>();
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this->use_gpu = this->config_file["Global"]["use_gpu"].as<bool>();
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if (this->config_file["Global"]["gpu_id"].IsDefined())
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this->gpu_id = this->config_file["Global"]["gpu_id"].as<int>();
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else
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this->gpu_id = 0;
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this->gpu_mem = this->config_file["Global"]["gpu_mem"].as<int>();
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this->cpu_threads =
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this->config_file["Global"]["cpu_num_threads"].as<int>();
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this->use_mkldnn = this->config_file["Global"]["enable_mkldnn"].as<bool>();
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this->use_tensorrt = this->config_file["Global"]["use_tensorrt"].as<bool>();
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this->use_fp16 = this->config_file["Global"]["use_fp16"].as<bool>();
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this->enable_benchmark =
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this->config_file["Global"]["enable_benchmark"].as<bool>();
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this->ir_optim = this->config_file["Global"]["ir_optim"].as<bool>();
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this->enable_profile =
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this->config_file["Global"]["enable_profile"].as<bool>();
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this->cls_model_path =
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this->config_file["Global"]["inference_model_dir"].as<std::string>() +
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OS_PATH_SEP + "inference.pdmodel";
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this->cls_params_path =
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this->config_file["Global"]["inference_model_dir"].as<std::string>() +
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OS_PATH_SEP + "inference.pdiparams";
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this->resize_short_size =
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this->config_file["PreProcess"]["transform_ops"][0]["ResizeImage"]
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["resize_short"]
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.as<int>();
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this->crop_size =
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this->config_file["PreProcess"]["transform_ops"][1]["CropImage"]["size"]
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.as<int>();
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this->scale = this->config_file["PreProcess"]["transform_ops"][2]
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["NormalizeImage"]["scale"]
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.as<float>();
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this->mean = this->config_file["PreProcess"]["transform_ops"][2]
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["NormalizeImage"]["mean"]
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.as < std::vector < float >> ();
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this->std = this->config_file["PreProcess"]["transform_ops"][2]
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["NormalizeImage"]["std"]
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.as < std::vector < float >> ();
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if (this->config_file["Global"]["benchmark"].IsDefined())
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this->benchmark = this->config_file["Global"]["benchmark"].as<bool>();
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else
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this->benchmark = false;
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if (this->config_file["PostProcess"]["Topk"]["topk"].IsDefined())
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this->topk = this->config_file["PostProcess"]["Topk"]["topk"].as<int>();
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if (this->config_file["PostProcess"]["Topk"]["class_id_map_file"]
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.IsDefined())
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this->class_id_map_path =
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this->config_file["PostProcess"]["Topk"]["class_id_map_file"]
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.as<std::string>();
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if (this->config_file["PostProcess"]["SavePreLabel"]["save_dir"]
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.IsDefined())
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this->label_save_dir =
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this->config_file["PostProcess"]["SavePreLabel"]["save_dir"]
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.as<std::string>();
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ReadLabelMap();
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}
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YAML::Node config_file;
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bool use_gpu = false;
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int gpu_id = 0;
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int gpu_mem = 4000;
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int cpu_threads = 1;
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bool use_mkldnn = false;
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bool use_tensorrt = false;
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bool use_fp16 = false;
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bool benchmark = false;
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int batch_size = 1;
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bool enable_benchmark = false;
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bool ir_optim = true;
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bool enable_profile = false;
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std::string cls_model_path;
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std::string cls_params_path;
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std::string infer_imgs;
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int resize_short_size = 256;
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int crop_size = 224;
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float scale = 0.00392157;
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std::vector<float> mean = {0.485, 0.456, 0.406};
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std::vector<float> std = {0.229, 0.224, 0.225};
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int topk = 5;
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std::string class_id_map_path;
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std::map<int, std::string> id_map;
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std::string label_save_dir;
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void PrintConfigInfo();
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void ReadLabelMap();
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void ReadYamlConfig(const std::string &path);
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};
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} // namespace PaddleClas
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