From eb46166f1130d6c6fb5d41d6090a86b35d1542fc Mon Sep 17 00:00:00 2001
From: Edmond Yoo <hj3yoo@uwaterloo.ca>
Date: Thu, 06 Sep 2018 17:31:12 +0000
Subject: [PATCH] merge resolution
---
src/yolo_console_dll.cpp | 639 ++++++++++++++++++++++++++++++++++++++-------------------
1 files changed, 423 insertions(+), 216 deletions(-)
diff --git a/src/yolo_console_dll.cpp b/src/yolo_console_dll.cpp
index 0e291a4..a724b3e 100644
--- a/src/yolo_console_dll.cpp
+++ b/src/yolo_console_dll.cpp
@@ -11,271 +11,478 @@
#ifdef _WIN32
#define OPENCV
-#include "windows.h"
+#define GPU
#endif
-#define TRACK_OPTFLOW
-#include "yolo_v2_class.hpp" // imported functions from DLL
+// To use tracking - uncomment the following line. Tracking is supported only by OpenCV 3.x
+//#define TRACK_OPTFLOW
+
+//#include "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.1\include\cuda_runtime.h"
+//#pragma comment(lib, "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.1/lib/x64/cudart.lib")
+//static std::shared_ptr<image_t> device_ptr(NULL, [](void *img) { cudaDeviceReset(); });
+
+#include "yolo_v2_class.hpp" // imported functions from DLL
#ifdef OPENCV
-#include <opencv2/opencv.hpp> // C++
+#include <opencv2/opencv.hpp> // C++
#include "opencv2/core/version.hpp"
#ifndef CV_VERSION_EPOCH
#include "opencv2/videoio/videoio.hpp"
-#define OPENCV_VERSION CVAUX_STR(CV_VERSION_MAJOR)""CVAUX_STR(CV_VERSION_MINOR)""CVAUX_STR(CV_VERSION_REVISION)
+#define OPENCV_VERSION CVAUX_STR(CV_VERSION_MAJOR)"" CVAUX_STR(CV_VERSION_MINOR)"" CVAUX_STR(CV_VERSION_REVISION)
#pragma comment(lib, "opencv_world" OPENCV_VERSION ".lib")
+#ifdef TRACK_OPTFLOW
#pragma comment(lib, "opencv_cudaoptflow" OPENCV_VERSION ".lib")
#pragma comment(lib, "opencv_cudaimgproc" OPENCV_VERSION ".lib")
#pragma comment(lib, "opencv_core" OPENCV_VERSION ".lib")
#pragma comment(lib, "opencv_imgproc" OPENCV_VERSION ".lib")
#pragma comment(lib, "opencv_highgui" OPENCV_VERSION ".lib")
+#endif // TRACK_OPTFLOW
#else
#define OPENCV_VERSION CVAUX_STR(CV_VERSION_EPOCH)""CVAUX_STR(CV_VERSION_MAJOR)""CVAUX_STR(CV_VERSION_MINOR)
#pragma comment(lib, "opencv_core" OPENCV_VERSION ".lib")
#pragma comment(lib, "opencv_imgproc" OPENCV_VERSION ".lib")
#pragma comment(lib, "opencv_highgui" OPENCV_VERSION ".lib")
-#endif
+#endif // CV_VERSION_EPOCH
+
+class track_kalman {
+public:
+ cv::KalmanFilter kf;
+ int state_size, meas_size, contr_size;
+
+
+ track_kalman(int _state_size = 10, int _meas_size = 10, int _contr_size = 0)
+ : state_size(_state_size), meas_size(_meas_size), contr_size(_contr_size)
+ {
+ kf.init(state_size, meas_size, contr_size, CV_32F);
+
+ cv::setIdentity(kf.measurementMatrix);
+ cv::setIdentity(kf.measurementNoiseCov, cv::Scalar::all(1e-1));
+ cv::setIdentity(kf.processNoiseCov, cv::Scalar::all(1e-5));
+ cv::setIdentity(kf.errorCovPost, cv::Scalar::all(1e-2));
+ cv::setIdentity(kf.transitionMatrix);
+ }
+
+ void set(std::vector<bbox_t> result_vec) {
+ for (size_t i = 0; i < result_vec.size() && i < state_size*2; ++i) {
+ kf.statePost.at<float>(i * 2 + 0) = result_vec[i].x;
+ kf.statePost.at<float>(i * 2 + 1) = result_vec[i].y;
+ }
+ }
+
+ // Kalman.correct() calculates: statePost = statePre + gain * (z(k)-measurementMatrix*statePre);
+ // corrected state (x(k)): x(k)=x'(k)+K(k)*(z(k)-H*x'(k))
+ std::vector<bbox_t> correct(std::vector<bbox_t> result_vec) {
+ cv::Mat measurement(meas_size, 1, CV_32F);
+ for (size_t i = 0; i < result_vec.size() && i < meas_size * 2; ++i) {
+ measurement.at<float>(i * 2 + 0) = result_vec[i].x;
+ measurement.at<float>(i * 2 + 1) = result_vec[i].y;
+ }
+ cv::Mat estimated = kf.correct(measurement);
+ for (size_t i = 0; i < result_vec.size() && i < meas_size * 2; ++i) {
+ result_vec[i].x = estimated.at<float>(i * 2 + 0);
+ result_vec[i].y = estimated.at<float>(i * 2 + 1);
+ }
+ return result_vec;
+ }
+
+ // Kalman.predict() calculates: statePre = TransitionMatrix * statePost;
+ // predicted state (x'(k)): x(k)=A*x(k-1)+B*u(k)
+ std::vector<bbox_t> predict() {
+ std::vector<bbox_t> result_vec;
+ cv::Mat control;
+ cv::Mat prediction = kf.predict(control);
+ for (size_t i = 0; i < prediction.rows && i < state_size * 2; ++i) {
+ result_vec[i].x = prediction.at<float>(i * 2 + 0);
+ result_vec[i].y = prediction.at<float>(i * 2 + 1);
+ }
+ return result_vec;
+ }
+
+};
+
+
+
+
+class extrapolate_coords_t {
+public:
+ std::vector<bbox_t> old_result_vec;
+ std::vector<float> dx_vec, dy_vec, time_vec;
+ std::vector<float> old_dx_vec, old_dy_vec;
+
+ void new_result(std::vector<bbox_t> new_result_vec, float new_time) {
+ old_dx_vec = dx_vec;
+ old_dy_vec = dy_vec;
+ if (old_dx_vec.size() != old_result_vec.size()) std::cout << "old_dx != old_res \n";
+ dx_vec = std::vector<float>(new_result_vec.size(), 0);
+ dy_vec = std::vector<float>(new_result_vec.size(), 0);
+ update_result(new_result_vec, new_time, false);
+ old_result_vec = new_result_vec;
+ time_vec = std::vector<float>(new_result_vec.size(), new_time);
+ }
+
+ void update_result(std::vector<bbox_t> new_result_vec, float new_time, bool update = true) {
+ for (size_t i = 0; i < new_result_vec.size(); ++i) {
+ for (size_t k = 0; k < old_result_vec.size(); ++k) {
+ if (old_result_vec[k].track_id == new_result_vec[i].track_id && old_result_vec[k].obj_id == new_result_vec[i].obj_id) {
+ float const delta_time = new_time - time_vec[k];
+ if (abs(delta_time) < 1) break;
+ size_t index = (update) ? k : i;
+ float dx = ((float)new_result_vec[i].x - (float)old_result_vec[k].x) / delta_time;
+ float dy = ((float)new_result_vec[i].y - (float)old_result_vec[k].y) / delta_time;
+ float old_dx = dx, old_dy = dy;
+
+ // if it's shaking
+ if (update) {
+ if (dx * dx_vec[i] < 0) dx = dx / 2;
+ if (dy * dy_vec[i] < 0) dy = dy / 2;
+ } else {
+ if (dx * old_dx_vec[k] < 0) dx = dx / 2;
+ if (dy * old_dy_vec[k] < 0) dy = dy / 2;
+ }
+ dx_vec[index] = dx;
+ dy_vec[index] = dy;
+
+ //if (old_dx == dx && old_dy == dy) std::cout << "not shakin \n";
+ //else std::cout << "shakin \n";
+
+ if (dx_vec[index] > 1000 || dy_vec[index] > 1000) {
+ //std::cout << "!!! bad dx or dy, dx = " << dx_vec[index] << ", dy = " << dy_vec[index] <<
+ // ", delta_time = " << delta_time << ", update = " << update << std::endl;
+ dx_vec[index] = 0;
+ dy_vec[index] = 0;
+ }
+ old_result_vec[k].x = new_result_vec[i].x;
+ old_result_vec[k].y = new_result_vec[i].y;
+ time_vec[k] = new_time;
+ break;
+ }
+ }
+ }
+ }
+
+ std::vector<bbox_t> predict(float cur_time) {
+ std::vector<bbox_t> result_vec = old_result_vec;
+ for (size_t i = 0; i < old_result_vec.size(); ++i) {
+ float const delta_time = cur_time - time_vec[i];
+ auto &bbox = result_vec[i];
+ float new_x = (float) bbox.x + dx_vec[i] * delta_time;
+ float new_y = (float) bbox.y + dy_vec[i] * delta_time;
+ if (new_x > 0) bbox.x = new_x;
+ else bbox.x = 0;
+ if (new_y > 0) bbox.y = new_y;
+ else bbox.y = 0;
+ }
+ return result_vec;
+ }
+
+};
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 } };
+ 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);
- 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);
- }
- }
- 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, 1.2, cv::Scalar(50, 255, 0), 2);
- }
- cv::imshow("window name", mat_img);
- cv::waitKey(wait_msec);
+ 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_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 - 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);
+ }
+ }
+ 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, 1.2, cv::Scalar(50, 255, 0), 2);
+ }
}
-#endif // OPENCV
+#endif // OPENCV
void show_console_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;
- }
+ 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; getline(file, line);) file_lines.push_back(line);
- std::cout << "object names loaded \n";
- return file_lines;
+ std::ifstream file(filename);
+ std::vector<std::string> file_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(int argc, char *argv[])
{
- std::string filename;
- if (argc > 1) filename = argv[1];
+ std::string names_file = "data/coco.names";
+ std::string cfg_file = "cfg/yolov3.cfg";
+ std::string weights_file = "yolov3.weights";
+ std::string filename;
- 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");
- std::string out_videofile = "result.avi";
- bool const save_output_videofile = false;
+ 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 = true;
#ifdef TRACK_OPTFLOW
- Tracker_optflow tracker_flow;
+ Tracker_optflow tracker_flow;
+ detector.wait_stream = true;
#endif
- while (true)
- {
- std::cout << "input image or video filename: ";
- if(filename.size() == 0) std::cin >> filename;
- if (filename.size() == 0) break;
-
- try {
+ while (true)
+ {
+ std::cout << "input image or video filename: ";
+ if(filename.size() == 0) 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, 7);
- if (file_ext == "avi" || file_ext == "mp4" || file_ext == "mjpg" || file_ext == "mov" || // video file
- protocol == "rtmp://" || protocol == "rtsp://" || protocol == "http://" || protocol == "https:/") // video network stream
- {
- cv::Mat cap_frame, cur_frame, det_frame, write_frame;
- std::queue<cv::Mat> track_optflow_queue;
- int passed_flow_frames = 0;
- std::shared_ptr<image_t> det_image;
- std::vector<bbox_t> result_vec, thread_result_vec;
- detector.nms = 0.02; // comment it - if track_id is not required
- std::atomic<bool> consumed, videowrite_ready;
- consumed = true;
- videowrite_ready = true;
- std::atomic<int> fps_det_counter, fps_cap_counter;
- fps_det_counter = 0;
- fps_cap_counter = 0;
- 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::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);
- cv::Size const frame_size = cur_frame.size();
- cv::VideoWriter output_video;
- if (save_output_videofile)
- output_video.open(out_videofile, CV_FOURCC('D', 'I', 'V', 'X'), std::max(35, video_fps), frame_size, true);
+ extrapolate_coords_t extrapolate_coords;
+ bool extrapolate_flag = false;
+ float cur_time_extrapolate = 0, old_time_extrapolate = 0;
+ preview_boxes_t large_preview(100, 150, false), small_preview(50, 50, true);
+ bool show_small_boxes = false;
- while (!cur_frame.empty())
- {
- // always sync
- if (t_cap.joinable()) {
- t_cap.join();
- ++fps_cap_counter;
- cur_frame = cap_frame.clone();
- }
- t_cap = std::thread([&]() { cap >> cap_frame; });
+ 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
+ protocol == "rtmp://" || protocol == "rtsp://" || protocol == "http://" || protocol == "https:/") // video network stream
+ {
+ cv::Mat cap_frame, cur_frame, det_frame, write_frame;
+ std::queue<cv::Mat> track_optflow_queue;
+ int passed_flow_frames = 0;
+ std::shared_ptr<image_t> det_image;
+ std::vector<bbox_t> result_vec, thread_result_vec;
+ detector.nms = 0.02; // comment it - if track_id is not required
+ std::atomic<bool> consumed, videowrite_ready;
+ bool exit_flag = false;
+ consumed = true;
+ videowrite_ready = true;
+ std::atomic<int> fps_det_counter, fps_cap_counter;
+ fps_det_counter = 0;
+ fps_cap_counter = 0;
+ int current_det_fps = 0, current_cap_fps = 0;
+ std::thread t_detect, t_cap, t_videowrite;
+ std::mutex mtx;
+ 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);
+ cv::Size const frame_size = cur_frame.size();
+ cv::VideoWriter output_video;
+ if (save_output_videofile)
+ output_video.open(out_videofile, CV_FOURCC('D', 'I', 'V', 'X'), std::max(35, video_fps), frame_size, true);
- // 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;
+ while (!cur_frame.empty())
+ {
+ // always sync
+ if (t_cap.joinable()) {
+ t_cap.join();
+ ++fps_cap_counter;
+ cur_frame = cap_frame.clone();
+ }
+ t_cap = std::thread([&]() { cap >> cap_frame; });
+ ++cur_time_extrapolate;
+ // 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);
+ auto old_result_vec = detector.tracking_id(result_vec);
+ auto detected_result_vec = thread_result_vec;
+ result_vec = detected_result_vec;
#ifdef TRACK_OPTFLOW
- // track optical flow
- if (track_optflow_queue.size() > 0) {
- std::queue<cv::Mat> new_track_optflow_queue;
- //std::cout << "\n !!!! all = " << track_optflow_queue.size() << ", cur = " << passed_flow_frames << std::endl;
- tracker_flow.update_tracking_flow(track_optflow_queue.front());
+ // track optical flow
+ if (track_optflow_queue.size() > 0) {
+ //std::cout << "\n !!!! all = " << 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);
- track_optflow_queue.pop();
- while (track_optflow_queue.size() > 0) {
- 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;
+ while (track_optflow_queue.size() > 1) {
+ track_optflow_queue.pop();
+ result_vec = tracker_flow.tracking_flow(track_optflow_queue.front(), true);
+ }
+ track_optflow_queue.pop();
+ passed_flow_frames = 0;
- track_optflow_queue.pop();
- }
- track_optflow_queue = new_track_optflow_queue;
- new_track_optflow_queue.swap(std::queue<cv::Mat>());
- passed_flow_frames = 0;
- }
- }
-#endif
+ result_vec = detector.tracking_id(result_vec);
+ auto tmp_result_vec = detector.tracking_id(detected_result_vec, false);
+ small_preview.set(first_frame, tmp_result_vec);
- }
- // launch thread once - Detection
- if (!t_detect.joinable()) {
- t_detect = std::thread([&]() {
- 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);
- ++fps_det_counter;
- std::unique_lock<std::mutex> lock(mtx);
- thread_result_vec = result;
- current_image = det_image;
- consumed = true;
- cv.notify_all();
- }
- });
- }
-
- if (!cur_frame.empty()) {
- steady_end = std::chrono::steady_clock::now();
- if (std::chrono::duration<double>(steady_end - steady_start).count() >= 1) {
- current_det_fps = fps_det_counter;
- current_cap_fps = fps_cap_counter;
- steady_start = steady_end;
- fps_det_counter = 0;
- fps_cap_counter = 0;
- }
-
-#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
-
- draw_boxes(cur_frame, result_vec, obj_names, 3, current_det_fps, current_cap_fps);
- //show_console_result(result_vec, obj_names);
-
- if (output_video.isOpened() && videowrite_ready) {
- if (t_videowrite.joinable()) t_videowrite.join();
- write_frame = cur_frame.clone();
- videowrite_ready = false;
- t_videowrite = std::thread([&]() {
- output_video << write_frame; videowrite_ready = true;
- });
- }
- }
-
- // 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 (t_cap.joinable()) t_cap.join();
- if (t_detect.joinable()) t_detect.join();
- if (t_videowrite.joinable()) t_videowrite.join();
- std::cout << "Video ended \n";
- }
- 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_console_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_console_result(result_vec, obj_names);
- }
+ extrapolate_coords.new_result(tmp_result_vec, old_time_extrapolate);
+ old_time_extrapolate = cur_time_extrapolate;
+ extrapolate_coords.update_result(result_vec, cur_time_extrapolate - 1);
+ }
#else
- //std::vector<bbox_t> result_vec = detector.detect(filename);
+ result_vec = detector.tracking_id(result_vec); // comment it - if track_id is not required
+ extrapolate_coords.new_result(result_vec, cur_time_extrapolate - 1);
+#endif
+ // 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, true); // track optical flow
+#endif
+ consumed = false;
+ cv_pre_tracked.notify_all();
+ }
+ // launch thread once - Detection
+ if (!t_detect.joinable()) {
+ t_detect = std::thread([&]() {
+ auto current_image = det_image;
+ consumed = true;
+ while (current_image.use_count() > 0 && !exit_flag) {
+ auto result = detector.detect_resized(*current_image, frame_size.width, frame_size.height,
+ thresh, false); // true
+ ++fps_det_counter;
+ std::unique_lock<std::mutex> lock(mtx);
+ thread_result_vec = result;
+ consumed = true;
+ cv_detected.notify_all();
+ if (detector.wait_stream) {
+ while (consumed && !exit_flag) cv_pre_tracked.wait(lock);
+ }
+ current_image = det_image;
+ }
+ });
+ }
+ //while (!consumed); // sync detection
- auto img = detector.load_image(filename);
- std::vector<bbox_t> result_vec = detector.detect(img);
- detector.free_image(img);
- show_console_result(result_vec, obj_names);
-#endif
- }
- catch (std::exception &e) { std::cerr << "exception: " << e.what() << "\n"; getchar(); }
- catch (...) { std::cerr << "unknown exception \n"; getchar(); }
- filename.clear();
- }
+ if (!cur_frame.empty()) {
+ steady_end = std::chrono::steady_clock::now();
+ if (std::chrono::duration<double>(steady_end - steady_start).count() >= 1) {
+ current_det_fps = fps_det_counter;
+ current_cap_fps = fps_cap_counter;
+ steady_start = steady_end;
+ fps_det_counter = 0;
+ fps_cap_counter = 0;
+ }
- return 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); // track optical flow
+ extrapolate_coords.update_result(result_vec, cur_time_extrapolate);
+ small_preview.draw(cur_frame, show_small_boxes);
+#endif
+ auto result_vec_draw = result_vec;
+ if (extrapolate_flag) {
+ result_vec_draw = extrapolate_coords.predict(cur_time_extrapolate);
+ cv::putText(cur_frame, "extrapolate", cv::Point2f(10, 40), cv::FONT_HERSHEY_COMPLEX_SMALL, 1.0, cv::Scalar(50, 50, 0), 2);
+ }
+ draw_boxes(cur_frame, result_vec_draw, 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 (key == 'p') while (true) if(cv::waitKey(100) == 'p') break;
+ if (key == 'e') extrapolate_flag = !extrapolate_flag;
+ if (key == 27) { exit_flag = true; break; }
+
+ if (output_video.isOpened() && videowrite_ready) {
+ if (t_videowrite.joinable()) t_videowrite.join();
+ write_frame = cur_frame.clone();
+ videowrite_ready = false;
+ t_videowrite = std::thread([&]() {
+ output_video << write_frame; videowrite_ready = true;
+ });
+ }
+ }
+
+#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_detected.wait(lock);
+ }
+#endif
+ }
+ exit_flag = true;
+ if (t_cap.joinable()) t_cap.join();
+ if (t_detect.joinable()) t_detect.join();
+ if (t_videowrite.joinable()) t_videowrite.join();
+ std::cout << "Video ended \n";
+ break;
+ }
+ 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_console_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);
+
+ auto start = std::chrono::steady_clock::now();
+ std::vector<bbox_t> result_vec = detector.detect(mat_img);
+ auto end = std::chrono::steady_clock::now();
+ std::chrono::duration<double> spent = end - start;
+ std::cout << " Time: " << spent.count() << " sec \n";
+
+ //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);
+ show_console_result(result_vec, obj_names);
+ cv::waitKey(0);
+ }
+#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_console_result(result_vec, obj_names);
+#endif
+ }
+ catch (std::exception &e) { std::cerr << "exception: " << e.what() << "\n"; getchar(); }
+ catch (...) { std::cerr << "unknown exception \n"; getchar(); }
+ filename.clear();
+ }
+
+ return 0;
}
\ No newline at end of file
--
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