101 lines
2.7 KiB
C++
101 lines
2.7 KiB
C++
#pragma once
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#include <dirent.h>
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#include <cuda_runtime_api.h>
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#include <fstream>
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#include <sstream>
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#include <iostream>
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#include <vector>
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#include <unordered_map>
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#include <algorithm>
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#include "./logging.h"
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#include <NvInfer.h>
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#include <opencv2/opencv.hpp>
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static Logger gLogger;
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using namespace nvinfer1;
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void loadWeights(const std::string file, std::unordered_map<std::string, Weights>& weightMap) {
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std::cout << "Loading weights: " << file << std::endl;
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// Open weights file
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std::ifstream input(file);
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assert(input.is_open() && "Unable to load weight file. please check if the .wts file path is right!!!!!!");
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// Read number of weight blobs
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int32_t count;
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input >> count;
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assert(count > 0 && "Invalid weight map file.");
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while (count--) {
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Weights wt{ DataType::kFLOAT, nullptr, 0 };
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uint32_t size;
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// Read name and type of blob
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std::string name;
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input >> name >> std::dec >> size;
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wt.type = DataType::kFLOAT;
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// Load blob
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uint32_t* val = reinterpret_cast<uint32_t*>(malloc(sizeof(val) * size));
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for (uint32_t x = 0, y = size; x < y; ++x) {
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input >> std::hex >> val[x];
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}
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wt.values = val;
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wt.count = size;
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weightMap[name] = wt;
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}
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}
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int CalculateSize(Dims a) {
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int res = 1;
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for (int i = 0; i < a.nbDims; i++) {
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res *= a.d[i];
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}
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return res;
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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_dir_name);
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// cur_file_name += "/";
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// cur_file_name += p_file->d_name;
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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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void preprocessImg(cv::Mat& img, int newh, int neww) {
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// convert to rgb
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cv::cvtColor(img, img, cv::COLOR_BGR2RGB);
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cv::resize(img, img, cv::Size(neww, newh));
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img.convertTo(img, CV_32FC3);
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img /= 255;
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img -= cv::Scalar(0.485, 0.456, 0.406);
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img /= cv::Scalar(0.229, 0.224, 0.225);
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}
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#ifndef CUDA_CHECK
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#define CUDA_CHECK(callstr)\
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{\
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cudaError_t error_code = callstr;\
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if (error_code != cudaSuccess) {\
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std::cerr << "CUDA error " << error_code << " at " << __FILE__ << ":" << __LINE__;\
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assert(0);\
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}\
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}
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#endif // CUDA_CHECK
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