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https://github.com/pjreddie/darknet.git
synced 2023-08-10 21:13:14 +03:00
Implementation of tracking-function moved to cpp-file
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@ -201,4 +201,54 @@ YOLODLL_API std::vector<bbox_t> Detector::detect(image_t img, float thresh)
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cudaSetDevice(old_gpu_index);
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return bbox_vec;
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}
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YOLODLL_API std::vector<bbox_t> Detector::tracking(std::vector<bbox_t> cur_bbox_vec, int const frames_story)
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{
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bool prev_track_id_present = false;
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for (auto &i : prev_bbox_vec_deque)
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if (i.size() > 0) prev_track_id_present = true;
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static unsigned int track_id = 1;
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if (!prev_track_id_present) {
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//track_id = 1;
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for (size_t i = 0; i < cur_bbox_vec.size(); ++i)
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cur_bbox_vec[i].track_id = track_id++;
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prev_bbox_vec_deque.push_front(cur_bbox_vec);
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if (prev_bbox_vec_deque.size() > frames_story) prev_bbox_vec_deque.pop_back();
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return cur_bbox_vec;
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}
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std::vector<unsigned int> dist_vec(cur_bbox_vec.size(), std::numeric_limits<unsigned int>::max());
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for (auto &prev_bbox_vec : prev_bbox_vec_deque) {
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for (auto &i : prev_bbox_vec) {
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int cur_index = -1;
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for (size_t m = 0; m < cur_bbox_vec.size(); ++m) {
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bbox_t const& k = cur_bbox_vec[m];
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if (i.obj_id == k.obj_id) {
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unsigned int cur_dist = sqrt(((float)i.x - k.x)*((float)i.x - k.x) + ((float)i.y - k.y)*((float)i.y - k.y));
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if (cur_dist < 100 && (k.track_id == 0 || dist_vec[m] > cur_dist)) {
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dist_vec[m] = cur_dist;
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cur_index = m;
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}
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}
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}
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bool track_id_absent = !std::any_of(cur_bbox_vec.begin(), cur_bbox_vec.end(), [&](bbox_t const& b) { return b.track_id == i.track_id; });
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if (cur_index >= 0 && track_id_absent)
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cur_bbox_vec[cur_index].track_id = i.track_id;
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}
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}
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for (size_t i = 0; i < cur_bbox_vec.size(); ++i)
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if (cur_bbox_vec[i].track_id == 0)
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cur_bbox_vec[i].track_id = track_id++;
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prev_bbox_vec_deque.push_front(cur_bbox_vec);
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if (prev_bbox_vec_deque.size() > frames_story) prev_bbox_vec_deque.pop_back();
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return cur_bbox_vec;
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}
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@ -44,6 +44,8 @@ public:
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static YOLODLL_API image_t load_image(std::string image_filename);
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static YOLODLL_API void free_image(image_t m);
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YOLODLL_API std::vector<bbox_t> tracking(std::vector<bbox_t> cur_bbox_vec, int const frames_story = 4);
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#ifdef OPENCV
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std::vector<bbox_t> detect(cv::Mat mat, float thresh = 0.2)
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{
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@ -113,57 +115,6 @@ private:
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#endif // OPENCV
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std::deque<std::vector<bbox_t>> prev_bbox_vec_deque;
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public:
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std::vector<bbox_t> tracking(std::vector<bbox_t> cur_bbox_vec, int const frames_story = 4)
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{
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bool prev_track_id_present = false;
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for (auto &i : prev_bbox_vec_deque)
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if (i.size() > 0) prev_track_id_present = true;
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static unsigned int track_id = 1;
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if(!prev_track_id_present) {
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//track_id = 1;
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for (size_t i = 0; i < cur_bbox_vec.size(); ++i)
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cur_bbox_vec[i].track_id = track_id++;
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prev_bbox_vec_deque.push_front(cur_bbox_vec);
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if (prev_bbox_vec_deque.size() > frames_story) prev_bbox_vec_deque.pop_back();
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return cur_bbox_vec;
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}
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std::vector<unsigned int> dist_vec(cur_bbox_vec.size(), std::numeric_limits<unsigned int>::max());
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for (auto &prev_bbox_vec : prev_bbox_vec_deque) {
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for (auto &i : prev_bbox_vec) {
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int cur_index = -1;
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for (size_t m = 0; m < cur_bbox_vec.size(); ++m) {
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bbox_t const& k = cur_bbox_vec[m];
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if (i.obj_id == k.obj_id) {
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unsigned int cur_dist = sqrt(((float)i.x - k.x)*((float)i.x - k.x) + ((float)i.y - k.y)*((float)i.y - k.y));
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if (cur_dist < 100 && (k.track_id == 0 || dist_vec[m] > cur_dist)) {
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dist_vec[m] = cur_dist;
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cur_index = m;
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}
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}
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}
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bool track_id_absent = !std::any_of(cur_bbox_vec.begin(), cur_bbox_vec.end(), [&](bbox_t const& b) { return b.track_id == i.track_id; });
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if (cur_index >= 0 && track_id_absent)
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cur_bbox_vec[cur_index].track_id = i.track_id;
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}
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}
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for (size_t i = 0; i < cur_bbox_vec.size(); ++i)
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if (cur_bbox_vec[i].track_id == 0)
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cur_bbox_vec[i].track_id = track_id++;
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prev_bbox_vec_deque.push_front(cur_bbox_vec);
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if (prev_bbox_vec_deque.size() > frames_story) prev_bbox_vec_deque.pop_back();
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return cur_bbox_vec;
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}
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};
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