Changed example of DLL/SO usage to work faster

This commit is contained in:
AlexeyAB
2017-08-04 20:24:27 +03:00
parent fd671a7a4a
commit 52462f2ba6
3 changed files with 23 additions and 6 deletions

View File

@ -76,18 +76,19 @@ int main()
cv::Mat frame, prev_frame;
std::vector<bbox_t> result_vec, thread_result_vec;
detector.nms = 0.02; // comment it - if track_id is not required
std::thread td([]() {});
for (cv::VideoCapture cap(filename); cap >> frame, cap.isOpened();) {
auto image_ptr = detector.mat_to_image(frame);
std::thread td([&]() { thread_result_vec = detector.detect(*image_ptr, 0.2); });
td.join();
result_vec = thread_result_vec;
cv::Mat det_frame = frame;
td = std::thread([&]() { thread_result_vec = detector.detect(det_frame, 0.2); });
if (!prev_frame.empty()) {
result_vec = detector.tracking(result_vec); // comment it - if track_id is not required
draw_boxes(prev_frame, result_vec, obj_names, 3);
show_result(result_vec, obj_names);
}
td.join();
prev_frame = frame;
result_vec = thread_result_vec;
}
}
else { // image file

View File

@ -102,6 +102,15 @@ YOLODLL_API Detector::~Detector()
#endif
}
YOLODLL_API int Detector::get_net_width() {
detector_gpu_t &detector_gpu = *reinterpret_cast<detector_gpu_t *>(detector_gpu_ptr.get());
return detector_gpu.net.w;
}
YOLODLL_API int Detector::get_net_height() {
detector_gpu_t &detector_gpu = *reinterpret_cast<detector_gpu_t *>(detector_gpu_ptr.get());
return detector_gpu.net.h;
}
YOLODLL_API std::vector<bbox_t> Detector::detect(std::string image_filename, float thresh)
{

View File

@ -51,6 +51,8 @@ public:
YOLODLL_API std::vector<bbox_t> detect(image_t img, float thresh = 0.2);
static YOLODLL_API image_t load_image(std::string image_filename);
static YOLODLL_API void free_image(image_t m);
YOLODLL_API int get_net_width();
YOLODLL_API int get_net_height();
YOLODLL_API std::vector<bbox_t> tracking(std::vector<bbox_t> cur_bbox_vec, int const frames_story = 4);
@ -59,8 +61,13 @@ public:
{
if(mat.data == NULL)
throw std::runtime_error("file not found");
auto image_ptr = mat_to_image(mat);
return detect(*image_ptr, thresh);
cv::Mat det_mat;
cv::resize(mat, det_mat, cv::Size(get_net_width(), get_net_height()));
auto image_ptr = mat_to_image(det_mat);
auto detection_boxes = detect(*image_ptr, thresh);
float wk = (float)mat.cols / det_mat.cols, hk = (float)mat.rows / det_mat.rows;
for (auto &i : detection_boxes) i.x*=wk, i.w*= wk, i.y*=hk, i.h*=hk;
return detection_boxes;
}
static std::shared_ptr<image_t> mat_to_image(cv::Mat img)