AlexeyAB
2018-03-05 f0bc634a74b14ce4b0e065011390940d4d7a254c
src/yolo_v2_class.hpp
@@ -145,7 +145,7 @@
#if defined(TRACK_OPTFLOW) && defined(OPENCV)
#if defined(TRACK_OPTFLOW) && defined(OPENCV) && defined(GPU)
#include <opencv2/cudaoptflow.hpp>
#include <opencv2/cudaimgproc.hpp>
@@ -193,8 +193,7 @@
   void update_cur_bbox_vec(std::vector<bbox_t> _cur_bbox_vec)
   {
      cur_bbox_vec = _cur_bbox_vec;
      good_bbox_vec_flags.resize(cur_bbox_vec.size());
      for (auto &i : good_bbox_vec_flags) i = true;
      good_bbox_vec_flags = std::vector<bool>(cur_bbox_vec.size(), true);
      cv::Mat prev_pts, cur_pts_flow_cpu;
      for (auto &i : cur_bbox_vec) {
@@ -321,6 +320,123 @@
   }
};
#elif defined(TRACK_OPTFLOW) && defined(OPENCV)
//#include <opencv2/optflow.hpp>
#include <opencv2/video/tracking.hpp>
class Tracker_optflow {
public:
   const int flow_error;
   Tracker_optflow(int win_size = 9, int max_level = 3, int iterations = 8000, int _flow_error = -1) :
      flow_error((_flow_error > 0)? _flow_error:(win_size*4))
   {
      sync_PyrLKOpticalFlow = cv::SparsePyrLKOpticalFlow::create();
      sync_PyrLKOpticalFlow->setWinSize(cv::Size(win_size, win_size));  // 9, 15, 21, 31
      sync_PyrLKOpticalFlow->setMaxLevel(max_level);     // +- 3 pt
   }
   // just to avoid extra allocations
   cv::Mat dst_grey;
   cv::Mat prev_pts_flow, cur_pts_flow;
   cv::Mat status, err;
   cv::Mat src_grey; // used in both functions
   cv::Ptr<cv::SparsePyrLKOpticalFlow> sync_PyrLKOpticalFlow;
   std::vector<bbox_t> cur_bbox_vec;
   std::vector<bool> good_bbox_vec_flags;
   void update_cur_bbox_vec(std::vector<bbox_t> _cur_bbox_vec)
   {
      cur_bbox_vec = _cur_bbox_vec;
      good_bbox_vec_flags = std::vector<bool>(cur_bbox_vec.size(), true);
      cv::Mat prev_pts, cur_pts_flow;
      for (auto &i : cur_bbox_vec) {
         float x_center = (i.x + i.w / 2.0F);
         float y_center = (i.y + i.h / 2.0F);
         prev_pts.push_back(cv::Point2f(x_center, y_center));
      }
      if (prev_pts.rows == 0)
         prev_pts_flow = cv::Mat();
      else
         cv::transpose(prev_pts, prev_pts_flow);
   }
   void update_tracking_flow(cv::Mat new_src_mat, std::vector<bbox_t> _cur_bbox_vec)
   {
      if (new_src_mat.channels() == 3) {
         update_cur_bbox_vec(_cur_bbox_vec);
         cv::cvtColor(new_src_mat, src_grey, CV_BGR2GRAY, 1);
      }
   }
   std::vector<bbox_t> tracking_flow(cv::Mat new_dst_mat, bool check_error = true)
   {
      if (sync_PyrLKOpticalFlow.empty()) {
         std::cout << "sync_PyrLKOpticalFlow isn't initialized \n";
         return cur_bbox_vec;
      }
      cv::cvtColor(new_dst_mat, dst_grey, CV_BGR2GRAY, 1);
      if (src_grey.rows != dst_grey.rows || src_grey.cols != dst_grey.cols) {
         src_grey = dst_grey.clone();
         return cur_bbox_vec;
      }
      if (prev_pts_flow.cols < 1) {
         return cur_bbox_vec;
      }
      ////sync_PyrLKOpticalFlow_gpu.sparse(src_grey_gpu, dst_grey_gpu, prev_pts_flow_gpu, cur_pts_flow_gpu, status_gpu, &err_gpu);  // OpenCV 2.4.x
      sync_PyrLKOpticalFlow->calc(src_grey, dst_grey, prev_pts_flow, cur_pts_flow, status, err);   // OpenCV 3.x
      dst_grey.copyTo(src_grey);
      std::vector<bbox_t> result_bbox_vec;
      if (err.rows == cur_bbox_vec.size() && status.rows == cur_bbox_vec.size())
      {
         for (size_t i = 0; i < cur_bbox_vec.size(); ++i)
         {
            cv::Point2f cur_key_pt = cur_pts_flow.at<cv::Point2f>(0, i);
            cv::Point2f prev_key_pt = prev_pts_flow.at<cv::Point2f>(0, i);
            float moved_x = cur_key_pt.x - prev_key_pt.x;
            float moved_y = cur_key_pt.y - prev_key_pt.y;
            if (abs(moved_x) < 100 && abs(moved_y) < 100 && good_bbox_vec_flags[i])
               if (err.at<float>(0, i) < flow_error && status.at<unsigned char>(0, i) != 0 &&
                  ((float)cur_bbox_vec[i].x + moved_x) > 0 && ((float)cur_bbox_vec[i].y + moved_y) > 0)
               {
                  cur_bbox_vec[i].x += moved_x + 0.5;
                  cur_bbox_vec[i].y += moved_y + 0.5;
                  result_bbox_vec.push_back(cur_bbox_vec[i]);
               }
               else good_bbox_vec_flags[i] = false;
            else good_bbox_vec_flags[i] = false;
            //if(!check_error && !good_bbox_vec_flags[i]) result_bbox_vec.push_back(cur_bbox_vec[i]);
         }
      }
      prev_pts_flow = cur_pts_flow.clone();
      return result_bbox_vec;
   }
};
#else
class Tracker_optflow {};