common.hpp

#pragma once

#include <dirent.h>
#include <cuda_runtime_api.h>
#include <fstream>
#include <sstream>
#include <iostream>
#include <vector>
#include <unordered_map>
#include <algorithm>
#include "./logging.h"
#include <NvInfer.h>
#include <opencv2/opencv.hpp>

static Logger gLogger;

using namespace nvinfer1;
void loadWeights(const std::string file, std::unordered_map<std::string, Weights>& weightMap) {
    std::cout << "Loading weights: " << file << std::endl;

    // Open weights file
    std::ifstream input(file);
    assert(input.is_open() && "Unable to load weight file. please check if the .wts file path is right!!!!!!");

    // Read number of weight blobs
    int32_t count;
    input >> count;
    assert(count > 0 && "Invalid weight map file.");

    while (count--) {
        Weights wt{ DataType::kFLOAT, nullptr, 0 };
        uint32_t size;

        // Read name and type of blob
        std::string name;
        input >> name >> std::dec >> size;
        wt.type = DataType::kFLOAT;

        // Load blob
        uint32_t* val = reinterpret_cast<uint32_t*>(malloc(sizeof(val) * size));
        for (uint32_t x = 0, y = size; x < y; ++x) {
            input >> std::hex >> val[x];
        }
        wt.values = val;

        wt.count = size;
        weightMap[name] = wt;
    }
}

int CalculateSize(Dims a) {
    int res = 1;
    for (int i = 0; i < a.nbDims; i++) {
        res *= a.d[i];
    }
    return res;
}

static inline int read_files_in_dir(const char *p_dir_name, std::vector<std::string> &file_names) {
    DIR *p_dir = opendir(p_dir_name);
    if (p_dir == nullptr) {
        return -1;
    }

    struct dirent* p_file = nullptr;
    while ((p_file = readdir(p_dir)) != nullptr) {
        if (strcmp(p_file->d_name, ".") != 0 &&
            strcmp(p_file->d_name, "..") != 0) {
            // std::string cur_file_name(p_dir_name);
            // cur_file_name += "/";
            // cur_file_name += p_file->d_name;
            std::string cur_file_name(p_file->d_name);
            file_names.push_back(cur_file_name);
        }
    }

    closedir(p_dir);
    return 0;
}

void preprocessImg(cv::Mat& img, int newh, int neww) {
    // convert to rgb
    cv::cvtColor(img, img, cv::COLOR_BGR2RGB);
    cv::resize(img, img, cv::Size(neww, newh));
    img.convertTo(img, CV_32FC3);
    img /= 255;
    img -= cv::Scalar(0.485, 0.456, 0.406);
    img /= cv::Scalar(0.229, 0.224, 0.225);
}

#ifndef CUDA_CHECK
#define CUDA_CHECK(callstr)\
    {\
        cudaError_t error_code = callstr;\
        if (error_code != cudaSuccess) {\
            std::cerr << "CUDA error " << error_code << " at " << __FILE__ << ":" << __LINE__;\
            assert(0);\
        }\
    }
#endif  // CUDA_CHECK