Detection and Tracking work well

AlexeyAB

2018-01-07 aeb15b3cb9157f5d0b2a9962e17de22560b8a1b2

 src/yolo_v2_class.hpp

@@ -50,6 +50,7 @@
   const int cur_gpu_id;
public:
   float nms = .4;
   bool wait_stream;

   YOLODLL_API Detector(std::string cfg_filename, std::string weight_filename, int gpu_id = 0);
   YOLODLL_API ~Detector();
@@ -172,7 +173,7 @@
      sync_PyrLKOpticalFlow_gpu = cv::cuda::SparsePyrLKOpticalFlow::create();
      sync_PyrLKOpticalFlow_gpu->setWinSize(cv::Size(21, 21)); // 15, 21, 31
      sync_PyrLKOpticalFlow_gpu->setMaxLevel(3);      // +- 5 ptx
      sync_PyrLKOpticalFlow_gpu->setNumIters(1000);   // def: 30
      sync_PyrLKOpticalFlow_gpu->setNumIters(2000);   // def: 30

      cv::cuda::setDevice(old_gpu_id);
   }