c++调用yolov3-yolov4-创新互联
#ifdef _WIN32
#define OPENCV
#define GPU
#endif
#include#include#include "yolo_v2_class.hpp" // imported functions from DLL
#include// C++
#include "opencv2/highgui/highgui.hpp"
#pragma comment(lib, "opencv_world340.lib")//引入链接库
using namespace cv;
using namespace std;
uchar* BGR;
HDC hScreen, g_stcMemDc;
int Screenshot_W = 800;
int Screenshot_H = 600;
BITMAPINFOHEADER bmi = { 0 };
void Screenshot()
{
if (BGR == NULL)
BGR = new uchar[Screenshot_W * Screenshot_H * 3];
if (hScreen == NULL)
hScreen = CreateDC(L"DISPLAY", 0, 0, 0);
if (bmi.biSize == 0)
{
bmi.biSize = sizeof(BITMAPINFOHEADER);
bmi.biPlanes = 1;
bmi.biBitCount = 24;
bmi.biWidth = Screenshot_W;
bmi.biHeight = -Screenshot_H;
bmi.biCompression = BI_RGB;
bmi.biSizeImage = Screenshot_W * Screenshot_H;
}
g_stcMemDc = CreateCompatibleDC(hScreen);
HBITMAP hBitmap = CreateCompatibleBitmap(hScreen, Screenshot_W, Screenshot_H);
SelectObject(g_stcMemDc, hBitmap);
BitBlt(g_stcMemDc, 0, 0, Screenshot_W, Screenshot_H, hScreen, 0, 0, SRCCOPY);
GetDIBits(g_stcMemDc, hBitmap, 0, Screenshot_H, BGR, (BITMAPINFO*)&bmi, DIB_RGB_COLORS);
DeleteDC(g_stcMemDc);
DeleteObject(hBitmap);
}
vectorDetectionObject; //0 角色|1 怪物|2 领主
void draw_boxes(cv::Mat mat_img, std::vectorresult_vec, std::vectorobj_names, int current_det_fps = -1, int current_cap_fps = -1)
{
int const colors[6][3] = { { 1,0,1 },{ 0,0,1 },{ 0,1,1 },{ 0,1,0 },{ 1,1,0 },{ 1,0,0 } };
for (auto& i : result_vec) {
cv::Scalar color = obj_id_to_color(i.obj_id);
cv::rectangle(mat_img, cv::Rect(i.x, i.y, i.w, i.h), color, 2);
if (obj_names.size() >i.obj_id) {
std::string obj_name = obj_names[i.obj_id];
if (i.track_id >0) obj_name += " - " + std::to_string(i.track_id);
cv::Size const text_size = getTextSize(obj_name, cv::FONT_HERSHEY_PLAIN, 1.2, 2, 0);
int const max_width = (text_size.width >i.w + 2) ? text_size.width : (i.w + 2);
cv::rectangle(mat_img, cv::Point2f(std::max((int)i.x - 1, 0), std::max((int)i.y - 30, 0)),
cv::Point2f(std::min((int)i.x + max_width, mat_img.cols - 1), std::min((int)i.y, mat_img.rows - 1)),
color, CV_FILLED, 8, 0);
//putText(mat_img, obj_name, cv::Point2f(i.x, i.y - 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 1, cv::Scalar(0, 0, 0), 1);
putText(mat_img, obj_name, cv::Point2f(i.x, i.y - 16), cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, cv::Scalar(0, 0, 0), 2);
}
}
if (current_det_fps >= 0 && current_cap_fps >= 0) {
std::string fps_str = "FPS detection: " + std::to_string(current_det_fps) + " FPS capture: " + std::to_string(current_cap_fps);
//putText(mat_img, fps_str, cv::Point2f(10, 20), cv::FONT_HERSHEY_COMPLEX_SMALL, 1, cv::Scalar(50, 255, 0),1);
putText(mat_img, fps_str, cv::Point2f(10, 20), cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, cv::Scalar(50, 255, 0), 2);
}
}
std::vectorobjects_names_from_file(std::string const filename) {
std::ifstream file(filename);
std::vectorfile_lines;
if (!file.is_open()) return file_lines;
for (std::string line; getline(file, line);) file_lines.push_back(line);
std::cout<< "object names loaded \n";
return file_lines;
}
int main()
{
string names_file = "./model/coco.names";
String cfg = "./model/yolov4.cfg";
String weight = "./model/yolov4.weights";
Detector detector(cfg, weight);//初始化检测器//
Mat ScreenshotMat(Screenshot_H, Screenshot_W, CV_8UC3, Scalar(0, 0, 255));
while (true)
{
Screenshot();
ScreenshotMat.data = BGR;
DetectionObject = detector.detect(ScreenshotMat);
std::vectorobj_names;
std::ifstream ifs(names_file.c_str());
std::string line;
while (getline(ifs, line)) obj_names.push_back(line);
//测试是否成功读入分类对象文件
for (size_t i = 0; i< obj_names.size(); i++)
{
std::cout<< obj_names[i]<< std::endl;
}
std::vectorresult_vec = detector.detect(ScreenshotMat);
draw_boxes(ScreenshotMat, result_vec, obj_names);
imshow("【OpenCV - YOLO】", ScreenshotMat);
waitKey(1);
}
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