更换文档检测模型

This commit is contained in:
2024-08-27 14:42:45 +08:00
parent aea6f19951
commit 1514e09c40
2072 changed files with 254336 additions and 4967 deletions

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// Copyright (c) 2020 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.
#pragma once
#include <iostream>
#include <map>
#include <string>
#include <vector>
#include "yaml-cpp/yaml.h"
#ifdef _WIN32
#define OS_PATH_SEP "\\"
#else
#define OS_PATH_SEP "/"
#endif
namespace PaddleDetection {
// Inference model configuration parser
class ConfigPaser {
public:
ConfigPaser() {}
~ConfigPaser() {}
bool load_config(const std::string& model_dir,
const std::string& cfg = "infer_cfg.yml") {
// Load as a YAML::Node
YAML::Node config;
config = YAML::LoadFile(model_dir + OS_PATH_SEP + cfg);
// Get runtime mode : paddle, trt_fp16, trt_fp32
if (config["mode"].IsDefined()) {
mode_ = config["mode"].as<std::string>();
} else {
std::cerr << "Please set mode, "
<< "support value : paddle/trt_fp16/trt_fp32." << std::endl;
return false;
}
// Get model arch : YOLO, SSD, RetinaNet, RCNN, Face
if (config["arch"].IsDefined()) {
arch_ = config["arch"].as<std::string>();
} else {
std::cerr << "Please set model arch,"
<< "support value : YOLO, SSD, RetinaNet, RCNN, Face."
<< std::endl;
return false;
}
// Get min_subgraph_size for tensorrt
if (config["min_subgraph_size"].IsDefined()) {
min_subgraph_size_ = config["min_subgraph_size"].as<int>();
} else {
std::cerr << "Please set min_subgraph_size." << std::endl;
return false;
}
// Get draw_threshold for visualization
if (config["draw_threshold"].IsDefined()) {
draw_threshold_ = config["draw_threshold"].as<float>();
} else {
std::cerr << "Please set draw_threshold." << std::endl;
return false;
}
// Get Preprocess for preprocessing
if (config["Preprocess"].IsDefined()) {
preprocess_info_ = config["Preprocess"];
} else {
std::cerr << "Please set Preprocess." << std::endl;
return false;
}
// Get label_list for visualization
if (config["label_list"].IsDefined()) {
label_list_ = config["label_list"].as<std::vector<std::string>>();
} else {
std::cerr << "Please set label_list." << std::endl;
return false;
}
// Get use_dynamic_shape for TensorRT
if (config["use_dynamic_shape"].IsDefined()) {
use_dynamic_shape_ = config["use_dynamic_shape"].as<bool>();
} else {
std::cerr << "Please set use_dynamic_shape." << std::endl;
return false;
}
// Get conf_thresh for tracker
if (config["tracker"].IsDefined()) {
if (config["tracker"]["conf_thres"].IsDefined()) {
conf_thresh_ = config["tracker"]["conf_thres"].as<float>();
} else {
std::cerr << "Please set conf_thres in tracker." << std::endl;
return false;
}
}
// Get NMS for postprocess
if (config["NMS"].IsDefined()) {
nms_info_ = config["NMS"];
}
// Get fpn_stride in PicoDet
if (config["fpn_stride"].IsDefined()) {
fpn_stride_.clear();
for (auto item : config["fpn_stride"]) {
fpn_stride_.emplace_back(item.as<int>());
}
}
if (config["mask"].IsDefined()) {
mask_ = config["mask"].as<bool>();
}
return true;
}
std::string mode_;
float draw_threshold_;
std::string arch_;
int min_subgraph_size_;
YAML::Node preprocess_info_;
YAML::Node nms_info_;
std::vector<std::string> label_list_;
std::vector<int> fpn_stride_;
bool use_dynamic_shape_;
float conf_thresh_;
bool mask_ = false;
};
} // namespace PaddleDetection