#include <iostream>
|
#include <iomanip>
|
#include <string>
|
#include <vector>
|
#include <fstream>
|
#include <thread>
|
#include <atomic>
|
|
#define OPENCV
|
|
#include "yolo_v2_class.hpp" // imported functions from DLL
|
|
#ifdef OPENCV
|
#include <opencv2/opencv.hpp> // C++
|
#include "opencv2/core/version.hpp"
|
#ifndef CV_VERSION_EPOCH
|
#include "opencv2/videoio/videoio.hpp"
|
#pragma comment(lib, "opencv_world320.lib")
|
#else
|
#pragma comment(lib, "opencv_core2413.lib")
|
#pragma comment(lib, "opencv_imgproc2413.lib")
|
#pragma comment(lib, "opencv_highgui2413.lib")
|
#endif
|
|
|
void draw_boxes(cv::Mat mat_img, std::vector<bbox_t> result_vec, std::vector<std::string> obj_names, unsigned int wait_msec = 0) {
|
for (auto &i : result_vec) {
|
cv::Scalar color(60, 160, 260);
|
cv::rectangle(mat_img, cv::Rect(i.x, i.y, i.w, i.h), color, 5);
|
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_COMPLEX_SMALL, 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 - 3, 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, 1.2, cv::Scalar(0, 0, 0), 2);
|
}
|
}
|
cv::imshow("window name", mat_img);
|
cv::waitKey(wait_msec);
|
}
|
#endif // OPENCV
|
|
|
void show_result(std::vector<bbox_t> const result_vec, std::vector<std::string> const obj_names) {
|
for (auto &i : result_vec) {
|
if (obj_names.size() > i.obj_id) std::cout << obj_names[i.obj_id] << " - ";
|
std::cout << "obj_id = " << i.obj_id << ", x = " << i.x << ", y = " << i.y
|
<< ", w = " << i.w << ", h = " << i.h
|
<< std::setprecision(3) << ", prob = " << i.prob << std::endl;
|
}
|
}
|
|
std::vector<std::string> objects_names_from_file(std::string const filename) {
|
std::ifstream file(filename);
|
std::vector<std::string> file_lines;
|
if (!file.is_open()) return file_lines;
|
for(std::string line; file >> line;) file_lines.push_back(line);
|
std::cout << "object names loaded \n";
|
return file_lines;
|
}
|
|
|
int main()
|
{
|
Detector detector("yolo-voc.cfg", "yolo-voc.weights");
|
|
auto obj_names = objects_names_from_file("data/voc.names");
|
|
while (true)
|
{
|
std::string filename;
|
std::cout << "input image or video filename: ";
|
std::cin >> filename;
|
if (filename.size() == 0) break;
|
|
try {
|
#ifdef OPENCV
|
std::string const file_ext = filename.substr(filename.find_last_of(".") + 1);
|
std::string const protocol = filename.substr(0, 4);
|
if (file_ext == "avi" || file_ext == "mp4" || file_ext == "mjpg" || file_ext == "mov" || // video file
|
protocol == "rtsp" || protocol == "http") // video network stream
|
{
|
cv::Mat frame, prev_frame, det_frame;
|
std::vector<bbox_t> result_vec, thread_result_vec;
|
detector.nms = 0.02; // comment it - if track_id is not required
|
std::thread td([]() {});
|
std::atomic<int> ready_flag = false;
|
cv::VideoCapture cap(filename);
|
for (; cap >> frame, cap.isOpened();) {
|
td.join();
|
result_vec = thread_result_vec;
|
det_frame = frame;
|
td = std::thread([&]() { thread_result_vec = detector.detect(det_frame, 0.2, true); ready_flag = true; });
|
|
if (!prev_frame.empty()) {
|
result_vec = detector.tracking(result_vec); // comment it - if track_id is not required
|
draw_boxes(prev_frame, result_vec, obj_names, 3);
|
show_result(result_vec, obj_names);
|
}
|
prev_frame = frame;
|
//if (protocol == "rtsp" || protocol == "http") do { cap.grab(); } while (!ready_flag); // use if cam-fps 2x or more than dnn-fps
|
ready_flag = false;
|
}
|
}
|
else if (file_ext == "txt") { // list of image files
|
std::ifstream file(filename);
|
if (!file.is_open()) std::cout << "File not found! \n";
|
else
|
for (std::string line; file >> line;) {
|
std::cout << line << std::endl;
|
cv::Mat mat_img = cv::imread(line);
|
std::vector<bbox_t> result_vec = detector.detect(mat_img);
|
show_result(result_vec, obj_names);
|
//draw_boxes(mat_img, result_vec, obj_names);
|
//cv::imwrite("res_" + line, mat_img);
|
}
|
|
}
|
else { // image file
|
cv::Mat mat_img = cv::imread(filename);
|
std::vector<bbox_t> result_vec = detector.detect(mat_img);
|
result_vec = detector.tracking(result_vec); // comment it - if track_id is not required
|
draw_boxes(mat_img, result_vec, obj_names);
|
show_result(result_vec, obj_names);
|
}
|
#else
|
//std::vector<bbox_t> result_vec = detector.detect(filename);
|
|
auto img = detector.load_image(filename);
|
std::vector<bbox_t> result_vec = detector.detect(img);
|
detector.free_image(img);
|
show_result(result_vec, obj_names);
|
#endif
|
}
|
catch (std::exception &e) { std::cerr << "exception: " << e.what() << "\n"; getchar(); }
|
catch (...) { std::cerr << "unknown exception \n"; getchar(); }
|
}
|
|
return 0;
|
}
|
