83 lines
2.1 KiB
C++
83 lines
2.1 KiB
C++
// Copyright (c) 2020 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 <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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#include "include/utility.h"
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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 &config_file) {
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config_map_ = LoadConfig(config_file);
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this->use_gpu = bool(stoi(config_map_["use_gpu"]));
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this->gpu_id = stoi(config_map_["gpu_id"]);
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this->gpu_mem = stoi(config_map_["gpu_mem"]);
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this->cpu_math_library_num_threads =
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stoi(config_map_["cpu_math_library_num_threads"]);
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this->use_mkldnn = bool(stoi(config_map_["use_mkldnn"]));
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this->cls_model_path.assign(config_map_["cls_model_path"]);
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this->cls_params_path.assign(config_map_["cls_params_path"]);
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this->resize_short_size = stoi(config_map_["resize_short_size"]);
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this->crop_size = stoi(config_map_["crop_size"]);
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}
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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_math_library_num_threads = 1;
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bool use_mkldnn = false;
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std::string cls_model_path;
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std::string cls_params_path;
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int resize_short_size = 256;
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int crop_size = 224;
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void PrintConfigInfo();
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private:
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// Load configuration
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std::map<std::string, std::string> LoadConfig(const std::string &config_file);
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std::vector<std::string> split(const std::string &str,
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const std::string &delim);
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std::map<std::string, std::string> config_map_;
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};
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} // namespace PaddleClas
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