208b2fcf39
* add simplified Logger class * add modified yolop tensorrtx implementation * add gen_wts.py * add CMakeLists.txt * add yolop tensorrtx README.md * fix yolop spelling * simplify yolop code * fix yolop README.md Co-authored-by: aliceint(zhanglj) <2464313547@qq.com>
55 lines
1.5 KiB
C++
55 lines
1.5 KiB
C++
#pragma once
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#include <dirent.h>
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#include <opencv2/opencv.hpp>
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#include <iostream>
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#include "common.hpp"
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#define SHOW_IMG
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static inline cv::Mat preprocess_img(cv::Mat& img, int input_w, int input_h) {
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int w, h, x, y;
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float r_w = input_w / (img.cols*1.0);
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float r_h = input_h / (img.rows*1.0);
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if (r_h > r_w) {
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w = input_w;
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h = r_w * img.rows;
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x = 0;
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y = (input_h - h) / 2;
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} else {
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w = r_h * img.cols;
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h = input_h;
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x = (input_w - w) / 2;
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y = 0;
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}
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cv::Mat re(h, w, CV_8UC3);
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cv::resize(img, re, re.size(), 0, 0, cv::INTER_LINEAR);
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cv::Mat out(input_h, input_w, CV_8UC3, cv::Scalar(114, 114, 114));
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re.copyTo(out(cv::Rect(x, y, re.cols, re.rows)));
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cv::Mat tensor;
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out.convertTo(tensor, CV_32FC3, 1.f / 255.f);
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cv::subtract(tensor, cv::Scalar(0.485, 0.456, 0.406), tensor, cv::noArray(), -1);
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cv::divide(tensor, cv::Scalar(0.229, 0.224, 0.225), tensor, 1, -1);
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return tensor;
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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 && 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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