AlexeyAB
2018-01-24 cc6ab9b3ccf48322b97f7fe096381d5594d198f7
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#include <iostream>
#include <iomanip> 
#include <string>
#include <vector>
#include <queue>
#include <fstream>
#include <thread>
#include <atomic>
#include <mutex>              // std::mutex, std::unique_lock
#include <condition_variable> // std::condition_variable
 
#ifdef _WIN32
#define OPENCV
#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
#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)
#pragma comment(lib, "opencv_world" OPENCV_VERSION ".lib")
#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")
#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
 
 
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;
}
 
void draw_preview_boxes(cv::Mat src_mat, cv::Mat draw_mat, std::vector<bbox_t> result_vec)
{
    size_t const preview_box_size = 100;    // size of preview box in ptx
    size_t const count_preview_boxes = draw_mat.cols / preview_box_size;
    unsigned int const 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;
        cv::Mat mat_obj;
        preview_box_track_t() : track_id(0), obj_id(0), last_showed_frames_ago(frames_history) {}
    };
    static std::vector<preview_box_track_t> preview_box_track_id(count_preview_boxes);
    // increment frames history
    for (auto &i : preview_box_track_id)
        i.last_showed_frames_ago = std::min(frames_history, i.last_showed_frames_ago + 1);
 
    // occupy empty boxes
    for (auto &k : result_vec) {
        bool found = false;
        for (auto &i : preview_box_track_id) {
            if (i.track_id == k.track_id) {
                i.last_showed_frames_ago = 0;
                found = true;
                break;
            }
        }
        if (!found) {
            for (auto &i : preview_box_track_id) {
                if (i.last_showed_frames_ago == frames_history) {
                    i.track_id = k.track_id;
                    i.obj_id = k.obj_id;
                    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_obj;
        for (auto &k : result_vec) {
            if (preview_box_track_id[i].track_id == k.track_id) {
                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 = dst;
                }
                break;
            }
        }
 
        // draw object image
        if (preview_box_track_id[i].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 - preview_box_size), dst.size());
            cv::Mat dst_roi = draw_mat(dst_rect_roi);
            dst.copyTo(dst_roi);
 
            cv::Scalar color = obj_id_to_color(preview_box_track_id[i].obj_id);
            cv::rectangle(draw_mat, dst_rect_roi, color, 5);
        }
    }
}
 
 
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 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) {
        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];
            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);
}
#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;
    }
}
 
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;
}
 
 
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 > 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];
 
    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) 
    {       
        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_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);
 
                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; });
 
                    // 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
#ifdef TRACK_OPTFLOW
                        // track optical flow
                        if (track_optflow_queue.size() > 0) {
                            //draw_preview_boxes(track_optflow_queue.front(), cur_frame, result_vec);
 
                            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());
 
                            while (track_optflow_queue.size() > 1) {
                                track_optflow_queue.pop();
                                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 = new_track_optflow_queue;
                            passed_flow_frames = 0;
                        }
#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) {
                                auto result = detector.detect_resized(*current_image, frame_size, 0.20, false); // true
                                ++fps_det_counter;
                                std::unique_lock<std::mutex> lock(mtx);
                                thread_result_vec = result;
                                current_image = det_image;
                                consumed = true;
                                cv_detected.notify_all();
                                if(detector.wait_stream)
                                    while (consumed) cv_pre_tracked.wait(lock);
                            }
                        });
                    }
 
                    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_preview_boxes(cur_frame, cur_frame, result_vec);
                        draw_boxes(cur_frame, result_vec, obj_names, 3, current_det_fps, current_cap_fps);  // 3 or 16ms
                        //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;
                            });
                        }
                    }
 
#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
                }
                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);
            }
#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;
}