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Fixed preview box for short-term object detection (small box) and long-term object tracking (large box)
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@ -29,6 +29,7 @@ struct bbox_t {
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float prob; // confidence - probability that the object was found correctly
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unsigned int obj_id; // class of object - from range [0, classes-1]
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unsigned int track_id; // tracking id for video (0 - untracked, 1 - inf - tracked object)
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unsigned int frames_counter;// counter of frames on which the object was detected
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};
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struct image_t {
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@ -57,7 +58,7 @@ public:
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YOLODLL_API int get_net_width() const;
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YOLODLL_API int get_net_height() const;
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YOLODLL_API std::vector<bbox_t> tracking(std::vector<bbox_t> cur_bbox_vec, int const frames_story = 6);
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YOLODLL_API std::vector<bbox_t> tracking_id(std::vector<bbox_t> cur_bbox_vec, int const frames_story = 6, int const max_dist = 150);
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#ifdef OPENCV
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std::vector<bbox_t> detect(cv::Mat mat, float thresh = 0.2, bool use_mean = false)
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@ -163,7 +164,7 @@ public:
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stream = cv::cuda::Stream();
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sync_PyrLKOpticalFlow_gpu = cv::cuda::SparsePyrLKOpticalFlow::create();
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sync_PyrLKOpticalFlow_gpu->setWinSize(cv::Size(21, 21)); // 15, 21, 31
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sync_PyrLKOpticalFlow_gpu->setWinSize(cv::Size(9, 9)); // 15, 21, 31
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sync_PyrLKOpticalFlow_gpu->setMaxLevel(3); // +- 3 pt
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sync_PyrLKOpticalFlow_gpu->setNumIters(2000); // def: 30
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@ -201,7 +202,7 @@ public:
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}
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std::vector<bbox_t> tracking_flow(cv::Mat dst_mat, std::vector<bbox_t> cur_bbox_vec)
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std::vector<bbox_t> tracking_flow(cv::Mat dst_mat, std::vector<bbox_t> cur_bbox_vec, bool check_error = false)
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{
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if (sync_PyrLKOpticalFlow_gpu.empty()) {
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std::cout << "sync_PyrLKOpticalFlow_gpu isn't initialized \n";
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@ -283,7 +284,7 @@ public:
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if (err_cpu.cols > i && status_cpu.cols > i)
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if (abs(moved_x) < 100 && abs(moved_y) < 100)
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//if (err_cpu.at<float>(0, i) < 60 && status_cpu.at<unsigned char>(0, i) != 0)
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if (!check_error || (err_cpu.at<float>(0, i) < 60 && status_cpu.at<unsigned char>(0, i) != 0))
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{
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cur_bbox_vec[i].x += moved_x + 0.5;
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cur_bbox_vec[i].y += moved_y + 0.5;
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