darknet/src/yolo_console_dll.cpp

#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;
}