AlexeyAB
2018-01-04 e205c1e7aeb47e3dffd35d1b5ce7841d24b9aff4
src/yolo_v2_class.hpp
@@ -12,7 +12,7 @@
#include <opencv2/cudaoptflow.hpp>
#include <opencv2/cudaimgproc.hpp>
#include <opencv2/cudaarithm.hpp>
#include "opencv2/core/cuda.hpp"
#include <opencv2/core/cuda.hpp>
#endif   // OPENCV
#ifdef YOLODLL_EXPORTS
@@ -156,7 +156,23 @@
class Tracker_optflow {
public:
   int gpu_id;
   Tracker_optflow(int _gpu_id = 0) : gpu_id(_gpu_id)
   {
      int const old_gpu_id = cv::cuda::getDevice();
      static const int gpu_count = cv::cuda::getCudaEnabledDeviceCount();
      if (gpu_count > gpu_id)
         cv::cuda::setDevice(gpu_id);
      sync_PyrLKOpticalFlow_gpu = cv::cuda::SparsePyrLKOpticalFlow::create();
      //sync_PyrLKOpticalFlow_gpu->setWinSize(cv::Size(31, 31)); //sync_PyrLKOpticalFlow_gpu.winSize = cv::Size(31, 31);
      //sync_PyrLKOpticalFlow_gpu->setWinSize(cv::Size(15, 15)); //sync_PyrLKOpticalFlow_gpu.winSize = cv::Size(15, 15);
      sync_PyrLKOpticalFlow_gpu->setWinSize(cv::Size(21, 21));
      sync_PyrLKOpticalFlow_gpu->setMaxLevel(50);  //sync_PyrLKOpticalFlow_gpu.maxLevel = 8; // +-32 points // def: 3
      sync_PyrLKOpticalFlow_gpu->setNumIters(6000);   //sync_PyrLKOpticalFlow_gpu.iters = 8000; // def: 30
   }
   // just to avoid extra allocations
   cv::cuda::GpuMat src_mat_gpu;
@@ -168,7 +184,7 @@
   cv::cuda::GpuMat src_grey_gpu;   // used in both functions
   cv::Ptr<cv::cuda::SparsePyrLKOpticalFlow> sync_PyrLKOpticalFlow_gpu;
   void update_tracking_flow(cv::Mat src_mat, int gpu_id = 0)
   void update_tracking_flow(cv::Mat src_mat)
   {
      int const old_gpu_id = cv::cuda::getDevice();
      static const int gpu_count = cv::cuda::getCudaEnabledDeviceCount();
@@ -177,20 +193,6 @@
      cv::cuda::Stream stream;
      if (sync_PyrLKOpticalFlow_gpu.empty()) {
         sync_PyrLKOpticalFlow_gpu = cv::cuda::SparsePyrLKOpticalFlow::create();
         //sync_PyrLKOpticalFlow_gpu->setWinSize(cv::Size(31, 31)); //sync_PyrLKOpticalFlow_gpu.winSize = cv::Size(31, 31);
         //sync_PyrLKOpticalFlow_gpu->setWinSize(cv::Size(15, 15)); //sync_PyrLKOpticalFlow_gpu.winSize = cv::Size(15, 15);
         sync_PyrLKOpticalFlow_gpu->setWinSize(cv::Size(21, 21));
         sync_PyrLKOpticalFlow_gpu->setMaxLevel(3);   //sync_PyrLKOpticalFlow_gpu.maxLevel = 8; // +-32 points // def: 3
         sync_PyrLKOpticalFlow_gpu->setNumIters(6000);   //sync_PyrLKOpticalFlow_gpu.iters = 8000; // def: 30
         //??? //sync_PyrLKOpticalFlow_gpu.getMinEigenVals = true;
         //std::cout << "sync_PyrLKOpticalFlow_gpu.maxLevel: " << sync_PyrLKOpticalFlow_gpu.maxLevel << std::endl;
         //std::cout << "sync_PyrLKOpticalFlow_gpu.iters: " << sync_PyrLKOpticalFlow_gpu.iters << std::endl;
         //std::cout << "sync_PyrLKOpticalFlow_gpu.winSize: " << sync_PyrLKOpticalFlow_gpu.winSize << std::endl;
      }
      if (src_mat.channels() == 3) {
         if (src_mat_gpu.cols == 0) {
            src_mat_gpu = cv::cuda::GpuMat(src_mat.size(), src_mat.type());
@@ -199,13 +201,12 @@
         src_mat_gpu.upload(src_mat, stream);
         cv::cuda::cvtColor(src_mat_gpu, src_grey_gpu, CV_BGR2GRAY, 0, stream);
         //std::cout << " \n\n OK !!! \n\n";
      }
      cv::cuda::setDevice(old_gpu_id);
   }
   std::vector<bbox_t> tracking_flow(cv::Mat dst_mat, std::vector<bbox_t> cur_bbox_vec, int gpu_id = 0)
   std::vector<bbox_t> tracking_flow(cv::Mat dst_mat, std::vector<bbox_t> cur_bbox_vec)
   {
      if (sync_PyrLKOpticalFlow_gpu.empty()) {
         std::cout << "sync_PyrLKOpticalFlow_gpu isn't initialized \n";
@@ -265,9 +266,8 @@
      dst_grey_gpu.copyTo(tmp_grey_gpu, stream);
      //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_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_gpu->calc(src_grey_gpu, dst_grey_gpu, prev_pts_flow_gpu, cur_pts_flow_gpu, status_gpu, err_gpu, stream);   // OpenCV 3.x
                                                                                                      //std::cout << "\n 1-e \n";
      cur_pts_flow_gpu.download(cur_pts_flow_cpu, stream);