mirror of https://github.com/JDAI-CV/fast-reid.git
75 lines
2.1 KiB
C++
75 lines
2.1 KiB
C++
#pragma once
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#include <map>
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#include <chrono>
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#include <memory>
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#include <vector>
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#include <fstream>
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#include <iostream>
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#include <cassert>
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#include <string.h>
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#include <dirent.h>
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#include "NvInfer.h"
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#include "cuda_runtime_api.h"
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#include "fastrt/struct.h"
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#define CHECK(status) \
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do \
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{ \
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auto ret = (status); \
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if (ret != 0) \
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{ \
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std::cout << "Cuda failure: " << ret; \
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abort(); \
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} \
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} while (0)
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#define TRTASSERT assert
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using Time = std::chrono::high_resolution_clock;
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using TimePoint = std::chrono::time_point<std::chrono::high_resolution_clock>;
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template<typename T, typename... Args>
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std::unique_ptr<T> make_unique(Args&&... args) {
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return std::unique_ptr<T>(new T(std::forward<Args>(args)...));
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}
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namespace io {
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std::vector<std::string> fileGlob(const std::string& pattern);
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}
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static inline int read_files_in_dir(const char *p_dir_name, std::vector<std::string> &file_names) {
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DIR *p_dir = opendir(p_dir_name);
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if (p_dir == nullptr) {
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return -1;
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}
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struct dirent* p_file = nullptr;
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while ((p_file = readdir(p_dir)) != nullptr) {
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if (strcmp(p_file->d_name, ".") != 0 &&
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strcmp(p_file->d_name, "..") != 0) {
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std::string cur_file_name(p_file->d_name);
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file_names.push_back(cur_file_name);
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}
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}
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closedir(p_dir);
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return 0;
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}
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namespace trt {
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/*
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* Load weights from files shared with TensorRT samples.
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* TensorRT weight files have a simple space delimited format:
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* [type] [size] <data x size in hex>
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*/
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std::map<std::string, nvinfer1::Weights> loadWeights(const std::string file);
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std::ostream& operator<<(std::ostream& os, const ModelConfig& modelCfg);
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}
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namespace fastrt {
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std::ostream& operator<<(std::ostream& os, const FastreidConfig& fastreidCfg);
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} |