From be90b8e8cb6bbf3951a5e185aa43ccfdd4a03f4d Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Thu, 08 Feb 2018 22:50:35 +0000
Subject: [PATCH] Optimal params for optical flow tracking. Some small box fixes.

---
 src/yolo_console_dll.cpp |  183 ++++++++++++++++++++++-----------------------
 1 files changed, 89 insertions(+), 94 deletions(-)

diff --git a/src/yolo_console_dll.cpp b/src/yolo_console_dll.cpp
index 16a9049..6aaebc5 100644
--- a/src/yolo_console_dll.cpp
+++ b/src/yolo_console_dll.cpp
@@ -11,10 +11,11 @@
 
 #ifdef _WIN32
 #define OPENCV
-#include "windows.h"
 #endif
 
+// To use tracking - uncomment the following line. Tracking is supported only by OpenCV 3.x
 #define TRACK_OPTFLOW
+
 #include "yolo_v2_class.hpp"	// imported functions from DLL
 
 #ifdef OPENCV
@@ -36,24 +37,20 @@
 #pragma comment(lib, "opencv_highgui" OPENCV_VERSION ".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, int current_det_fps = -1, int current_cap_fps = -1)
+	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) {
-		int const offset = i.obj_id * 123457 % 6;
-		int const color_scale = 150 + (i.obj_id * 123457) % 100;
-		cv::Scalar color(colors[offset][0], colors[offset][1], colors[offset][2]);
-		color *= color_scale;
-		cv::rectangle(mat_img, cv::Rect(i.x, i.y, i.w, i.h), color, 5);
+		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_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::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, 1.2, cv::Scalar(0, 0, 0), 2);
@@ -63,8 +60,6 @@
 		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, 1.2, cv::Scalar(50, 255, 0), 2);
 	}
-	cv::imshow("window name", mat_img);
-	cv::waitKey(wait_msec);
 }
 #endif	// OPENCV
 
@@ -90,17 +85,29 @@
 
 int main(int argc, char *argv[])
 {
+	std::string  names_file = "data/voc.names";
+	std::string  cfg_file = "cfg/yolo-voc.cfg";
+	std::string  weights_file = "yolo-voc.weights";
 	std::string filename;
-	if (argc > 1) filename = argv[1];
 
-	//Detector detector("cfg/yolo-voc.cfg", "yolo-voc.weights");
-	Detector detector("tiny-yolo-voc_air.cfg", "backup/tiny-yolo-voc_air_5000.weights");
+	if (argc > 4) {	//voc.names yolo-voc.cfg yolo-voc.weights test.mp4		
+		names_file = argv[1];
+		cfg_file = argv[2];
+		weights_file = argv[3];
+		filename = argv[4];
+	}
+	else if (argc > 1) filename = argv[1];
 
-	auto obj_names = objects_names_from_file("data/voc.names");
+	float const thresh = (argc > 5) ? std::stof(argv[5]) : 0.20;
+
+	Detector detector(cfg_file, weights_file);
+
+	auto obj_names = objects_names_from_file(names_file);
 	std::string out_videofile = "result.avi";
 	bool const save_output_videofile = false;
 #ifdef TRACK_OPTFLOW
 	Tracker_optflow tracker_flow;
+	detector.wait_stream = true;
 #endif
 
 	while (true) 
@@ -111,6 +118,9 @@
 		
 		try {
 #ifdef OPENCV
+			preview_boxes_t large_preview(100, 150, false), small_preview(50, 50, true);
+			bool show_small_boxes = false;
+
 			std::string const file_ext = filename.substr(filename.find_last_of(".") + 1);
 			std::string const protocol = filename.substr(0, 7);
 			if (file_ext == "avi" || file_ext == "mp4" || file_ext == "mjpg" || file_ext == "mov" || 	// video file
@@ -131,7 +141,7 @@
 				int current_det_fps = 0, current_cap_fps = 0;
 				std::thread t_detect, t_cap, t_videowrite;
 				std::mutex mtx;
-				std::condition_variable cv;
+				std::condition_variable cv_detected, cv_pre_tracked;
 				std::chrono::steady_clock::time_point steady_start, steady_end;
 				cv::VideoCapture cap(filename); cap >> cur_frame;
 				int const video_fps = cap.get(CV_CAP_PROP_FPS);
@@ -153,79 +163,51 @@
 					// swap result bouned-boxes and input-frame
 					if(consumed)
 					{
-						{
-							std::unique_lock<std::mutex> lock(mtx);
-							det_image = detector.mat_to_image_resize(cur_frame);
-							result_vec = thread_result_vec;
-							result_vec = detector.tracking(result_vec);	// comment it - if track_id is not required
-
-							consumed = false;
-						}
-
+						std::unique_lock<std::mutex> lock(mtx);
+						det_image = detector.mat_to_image_resize(cur_frame);
+						auto old_result_vec = detector.tracking_id(result_vec);
+						auto detected_result_vec = thread_result_vec;
+						result_vec = detected_result_vec;
 #ifdef TRACK_OPTFLOW
-						int y = 0, x = 0;
-						cv::Mat show_flow = cur_frame.clone();
-						auto lambda = [&x, &y](cv::Mat draw_frame, cv::Mat src_frame, std::vector<bbox_t> result_vec) {
-							//if (x > 10) return;
-							if (result_vec.size() == 0) return;
-							bbox_t i = result_vec[0];
-							cv::Rect r(i.x, i.y, i.w, i.h);
-							//cv::Rect r(i.x + (i.w-31)/2, i.y + (i.h - 31)/2, 31, 31);
-							cv::Rect img_rect(cv::Point2i(0, 0), src_frame.size());
-							cv::Rect rect_roi = r & img_rect;
-							if (rect_roi.width < 1 || rect_roi.height < 1) return;
-							cv::Mat roi = src_frame(rect_roi);
-							cv::Mat dst;
-							cv::resize(roi, dst, cv::Size(100, 100));
-							if (x > 10) x = 0, ++y;
-							cv::Rect dst_rect_roi(cv::Point2i(x*100, y*100), dst.size());
-							cv::Mat dst_roi = draw_frame(dst_rect_roi);
-							dst.copyTo(dst_roi);
-
-							++x;
-						};
-
-
 						// track optical flow
 						if (track_optflow_queue.size() > 0) {
-							//show_flow = track_optflow_queue.front().clone();
-							//draw_boxes(show_flow, result_vec, obj_names, 3, current_det_fps, current_cap_fps);
-
-							std::queue<cv::Mat> new_track_optflow_queue;
 							//std::cout << "\n !!!! all = " << track_optflow_queue.size() << ", cur = " << passed_flow_frames << std::endl;
-							if (result_vec.size() > 0) {
-								draw_boxes(track_optflow_queue.front().clone(), result_vec, obj_names, 3, current_det_fps, current_cap_fps);
-								std::cout << "\n frame_size = " << track_optflow_queue.size() << std::endl;
-								cv::waitKey(1000);
-							}
-							tracker_flow.update_tracking_flow(track_optflow_queue.front());
-							lambda(show_flow, track_optflow_queue.front(), result_vec);
-							track_optflow_queue.pop();
-							while(track_optflow_queue.size() > 0) {
-								if (result_vec.size() > 0) {
-									draw_boxes(track_optflow_queue.front().clone(), result_vec, obj_names, 3, current_det_fps, current_cap_fps);
-									std::cout << "\n frame_size = " << track_optflow_queue.size() << std::endl;
-									cv::waitKey(1000);
-								}
-								result_vec = tracker_flow.tracking_flow(track_optflow_queue.front(), result_vec);
-								if (track_optflow_queue.size() <= passed_flow_frames && new_track_optflow_queue.size() == 0)
-									new_track_optflow_queue = track_optflow_queue;
-								lambda(show_flow, track_optflow_queue.front(), result_vec);
-								track_optflow_queue.pop();
-							}					
-							track_optflow_queue = new_track_optflow_queue;
-							new_track_optflow_queue.swap(std::queue<cv::Mat>());
-							passed_flow_frames = 0;
-							//std::cout << "\n !!!! now = " << track_optflow_queue.size() << ", cur = " << passed_flow_frames << std::endl;
+							cv::Mat first_frame = track_optflow_queue.front();
+							tracker_flow.update_tracking_flow(track_optflow_queue.front(), result_vec);
 
-							cv::imshow("flow", show_flow);
-							cv::waitKey(3);
-							//if (result_vec.size() > 0) {
-							//	cv::waitKey(1000);
-							//}
+							while (track_optflow_queue.size() > 1) {
+								track_optflow_queue.pop();
+								result_vec = tracker_flow.tracking_flow(track_optflow_queue.front(), false);
+							}
+							track_optflow_queue.pop();
+							passed_flow_frames = 0;
+
+							result_vec = detector.tracking_id(result_vec);
+							auto tmp_result_vec = detector.tracking_id(detected_result_vec);
+							small_preview.set(first_frame, tmp_result_vec);
 						}
 #endif
+						result_vec = detector.tracking_id(result_vec);	// comment it - if track_id is not required					
 
+						// add old tracked objects
+						for (auto &i : old_result_vec) {
+							auto it = std::find_if(result_vec.begin(), result_vec.end(),
+								[&i](bbox_t const& b) { return b.track_id == i.track_id && b.obj_id == i.obj_id; });
+							bool track_id_absent = (it == result_vec.end());
+							if (track_id_absent) {
+								if (i.frames_counter-- > 1)
+									result_vec.push_back(i);
+							}
+							else {
+								it->frames_counter = std::min((unsigned)3, i.frames_counter + 1);
+							}
+						}
+#ifdef TRACK_OPTFLOW
+						tracker_flow.update_cur_bbox_vec(result_vec);
+						result_vec = tracker_flow.tracking_flow(cur_frame, false);	// track optical flow
+#endif
+						consumed = false;
+						cv_pre_tracked.notify_all();
 					}
 					// launch thread once - Detection
 					if (!t_detect.joinable()) {
@@ -233,18 +215,20 @@
 							auto current_image = det_image;
 							consumed = true;
 							while (current_image.use_count() > 0) {
-								auto result = detector.detect_resized(*current_image, frame_size, 0.24, false);	// true
-								//Sleep(200);
-								Sleep(50);
+								auto result = detector.detect_resized(*current_image, frame_size, thresh, false);	// true
 								++fps_det_counter;
 								std::unique_lock<std::mutex> lock(mtx);
 								thread_result_vec = result;
-								current_image = det_image;
 								consumed = true;
-								cv.notify_all();
+								cv_detected.notify_all();
+								if (detector.wait_stream) {
+									while (consumed) cv_pre_tracked.wait(lock);
+								}
+								current_image = det_image;
 							}
 						});
 					}
+					//while (!consumed);	// sync detection
 
 					if (!cur_frame.empty()) {
 						steady_end = std::chrono::steady_clock::now();
@@ -256,14 +240,21 @@
 							fps_cap_counter = 0;
 						}
 
+						large_preview.set(cur_frame, result_vec);
 #ifdef TRACK_OPTFLOW
 						++passed_flow_frames;
 						track_optflow_queue.push(cur_frame.clone());
-						result_vec = tracker_flow.tracking_flow(cur_frame, result_vec);	// track optical flow
-#endif
+						result_vec = tracker_flow.tracking_flow(cur_frame);	// track optical flow
+						small_preview.draw(cur_frame, show_small_boxes);
+#endif						
 
-						draw_boxes(cur_frame, result_vec, obj_names, 3, current_det_fps, current_cap_fps);
+						draw_boxes(cur_frame, result_vec, obj_names, current_det_fps, current_cap_fps);
 						//show_console_result(result_vec, obj_names);
+						large_preview.draw(cur_frame);
+
+						cv::imshow("window name", cur_frame);
+						int key = cv::waitKey(3);	// 3 or 16ms
+						if (key == 'f') show_small_boxes = !show_small_boxes;
 
 						if (output_video.isOpened() && videowrite_ready) {
 							if (t_videowrite.joinable()) t_videowrite.join();
@@ -275,11 +266,13 @@
 						}
 					}
 
+#ifndef TRACK_OPTFLOW
 					// wait detection result for video-file only (not for net-cam)
-					//if (protocol != "rtsp://" && protocol != "http://" && protocol != "https:/") {
-					//	std::unique_lock<std::mutex> lock(mtx);
-					//	while (!consumed) cv.wait(lock);
-					//}
+					if (protocol != "rtsp://" && protocol != "http://" && protocol != "https:/") {
+						std::unique_lock<std::mutex> lock(mtx);
+						while (!consumed) cv_detected.wait(lock);
+					}
+#endif
 				}
 				if (t_cap.joinable()) t_cap.join();
 				if (t_detect.joinable()) t_detect.join();
@@ -303,8 +296,10 @@
 			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
+				result_vec = detector.tracking_id(result_vec);	// comment it - if track_id is not required
 				draw_boxes(mat_img, result_vec, obj_names);
+				cv::imshow("window name", mat_img);
+				cv::waitKey(3);	// 3 or 16ms
 				show_console_result(result_vec, obj_names);
 			}
 #else

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