From 4373f897f1a5efd1a58746c44430dc33df925415 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Wed, 07 Feb 2018 22:07:19 +0000
Subject: [PATCH] Fixed densenet201_yolo.cfg - burn_in and poly policy, that changes learning rate
---
src/yolo_console_dll.cpp | 282 ++++++++++++++++++++++++++++++++++++++++++++++---------
1 files changed, 233 insertions(+), 49 deletions(-)
diff --git a/src/yolo_console_dll.cpp b/src/yolo_console_dll.cpp
index 0e291a4..b524d68 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
-#define TRACK_OPTFLOW
+// 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
@@ -37,16 +38,156 @@
#endif
+cv::Scalar obj_id_to_color(int obj_id) {
+ 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 offset = obj_id * 123457 % 6;
+ int const color_scale = 150 + (obj_id * 123457) % 100;
+ cv::Scalar color(colors[offset][0], colors[offset][1], colors[offset][2]);
+ color *= color_scale;
+ return color;
+}
+
+class preview_boxes_t {
+ enum { frames_history = 30 }; // how long to keep the history saved
+
+ struct preview_box_track_t {
+ unsigned int track_id, obj_id, last_showed_frames_ago;
+ bool current_detection;
+ bbox_t bbox;
+ cv::Mat mat_obj, mat_resized_obj;
+ preview_box_track_t() : track_id(0), obj_id(0), last_showed_frames_ago(frames_history), current_detection(false){}
+ };
+ std::vector<preview_box_track_t> preview_box_track_id;
+ size_t const preview_box_size, bottom_offset;
+ bool const one_off_detections;
+public:
+ preview_boxes_t(size_t _preview_box_size = 100, size_t _bottom_offset = 100, bool _one_off_detections = false) :
+ preview_box_size(_preview_box_size), bottom_offset(_bottom_offset), one_off_detections(_one_off_detections)
+ {}
+
+ void set(cv::Mat src_mat, std::vector<bbox_t> result_vec)
+ {
+ size_t const count_preview_boxes = src_mat.cols / preview_box_size;
+ if (preview_box_track_id.size() != count_preview_boxes) preview_box_track_id.resize(count_preview_boxes);
+
+ // increment frames history
+ for (auto &i : preview_box_track_id)
+ i.last_showed_frames_ago = std::min((unsigned)frames_history, i.last_showed_frames_ago + 1);
+
+ // occupy empty boxes
+ for (auto &k : result_vec) {
+ bool found = false;
+ // find the same (track_id)
+ for (auto &i : preview_box_track_id) {
+ if (i.track_id == k.track_id) {
+ if (!one_off_detections) i.last_showed_frames_ago = 0; // for tracked objects
+ found = true;
+ break;
+ }
+ }
+ if (!found) {
+ // find empty box
+ for (auto &i : preview_box_track_id) {
+ if (i.last_showed_frames_ago == frames_history) {
+ if (!one_off_detections && k.frames_counter == 0) break; // don't show if obj isn't tracked yet
+ i.track_id = k.track_id;
+ i.obj_id = k.obj_id;
+ i.bbox = k;
+ i.last_showed_frames_ago = 0;
+ break;
+ }
+ }
+ }
+ }
+
+ // draw preview box (from old or current frame)
+ for (size_t i = 0; i < preview_box_track_id.size(); ++i)
+ {
+ // get object image
+ cv::Mat dst = preview_box_track_id[i].mat_resized_obj;
+ preview_box_track_id[i].current_detection = false;
+
+ for (auto &k : result_vec) {
+ if (preview_box_track_id[i].track_id == k.track_id) {
+ if (one_off_detections && preview_box_track_id[i].last_showed_frames_ago > 0) {
+ preview_box_track_id[i].last_showed_frames_ago = frames_history; break;
+ }
+ bbox_t b = k;
+ cv::Rect r(b.x, b.y, b.w, b.h);
+ cv::Rect img_rect(cv::Point2i(0, 0), src_mat.size());
+ cv::Rect rect_roi = r & img_rect;
+ if (rect_roi.width > 1 || rect_roi.height > 1) {
+ cv::Mat roi = src_mat(rect_roi);
+ cv::resize(roi, dst, cv::Size(preview_box_size, preview_box_size));
+ preview_box_track_id[i].mat_obj = roi.clone();
+ preview_box_track_id[i].mat_resized_obj = dst.clone();
+ preview_box_track_id[i].current_detection = true;
+ preview_box_track_id[i].bbox = k;
+ }
+ break;
+ }
+ }
+ }
+ }
+
+
+ void draw(cv::Mat draw_mat, bool show_small_boxes = false)
+ {
+ // draw preview box (from old or current frame)
+ for (size_t i = 0; i < preview_box_track_id.size(); ++i)
+ {
+ auto &prev_box = preview_box_track_id[i];
+
+ // draw object image
+ cv::Mat dst = prev_box.mat_resized_obj;
+ if (prev_box.last_showed_frames_ago < frames_history &&
+ dst.size() == cv::Size(preview_box_size, preview_box_size))
+ {
+ cv::Rect dst_rect_roi(cv::Point2i(i * preview_box_size, draw_mat.rows - bottom_offset), dst.size());
+ cv::Mat dst_roi = draw_mat(dst_rect_roi);
+ dst.copyTo(dst_roi);
+
+ cv::Scalar color = obj_id_to_color(prev_box.obj_id);
+ int thickness = (prev_box.current_detection) ? 5 : 1;
+ cv::rectangle(draw_mat, dst_rect_roi, color, thickness);
+
+ unsigned int const track_id = prev_box.track_id;
+ std::string track_id_str = (track_id > 0)? std::to_string(track_id):"";
+ putText(draw_mat, track_id_str, dst_rect_roi.tl() - cv::Point2i(0, 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 1.0, cv::Scalar(0, 0, 0), 2);
+
+ std::string size_str = std::to_string(prev_box.bbox.w) + "x" + std::to_string(prev_box.bbox.h);
+ putText(draw_mat, size_str, dst_rect_roi.tl() + cv::Point2i(0, 12), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.8, cv::Scalar(0, 0, 0), 1);
+
+ if (!one_off_detections && prev_box.current_detection) {
+ cv::line(draw_mat, dst_rect_roi.tl() + cv::Point2i(preview_box_size, 0),
+ cv::Point2i(prev_box.bbox.x, prev_box.bbox.y + prev_box.bbox.h),
+ color);
+ }
+
+ if (one_off_detections && show_small_boxes) {
+ cv::Rect src_rect_roi(cv::Point2i(prev_box.bbox.x, prev_box.bbox.y),
+ cv::Size(prev_box.bbox.w, prev_box.bbox.h));
+ unsigned int const color_history = (255 * prev_box.last_showed_frames_ago) / frames_history;
+ color = cv::Scalar(255 - 3* color_history, 255 - 2 * color_history, 255 - 1 * color_history);
+ if (prev_box.mat_obj.size() == src_rect_roi.size()) {
+ prev_box.mat_obj.copyTo(draw_mat(src_rect_roi));
+ }
+ cv::rectangle(draw_mat, src_rect_roi, color, thickness);
+ putText(draw_mat, track_id_str, src_rect_roi.tl() - cv::Point2i(0, 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.8, cv::Scalar(0, 0, 0), 1);
+ }
+ }
+ }
+ }
+};
+
+
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::Scalar color = obj_id_to_color(i.obj_id);
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];
@@ -63,8 +204,6 @@
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 +229,29 @@
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 +262,9 @@
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 +285,7 @@
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);
@@ -153,35 +307,52 @@
// 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 = result_vec;
+ 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);
+ while (track_optflow_queue.size() > 1) {
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;
-
- track_optflow_queue.pop();
- }
- track_optflow_queue = new_track_optflow_queue;
- new_track_optflow_queue.swap(std::queue<cv::Mat>());
- passed_flow_frames = 0;
+ 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()) {
@@ -189,18 +360,20 @@
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();
@@ -212,14 +385,21 @@
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();
@@ -231,11 +411,13 @@
}
}
+#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();
@@ -259,8 +441,10 @@
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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