| | |
| | | image images[FRAMES]; |
| | | float *avg; |
| | | float *predictions[FRAMES]; |
| | | int demo_index; |
| | | }; |
| | | |
| | | |
| | |
| | | } |
| | | |
| | | |
| | | YOLODLL_API std::vector<bbox_t> Detector::detect(std::string image_filename, float thresh) |
| | | YOLODLL_API std::vector<bbox_t> Detector::detect(std::string image_filename, float thresh, bool use_mean) |
| | | { |
| | | std::shared_ptr<image_t> image_ptr(new image_t, [](image_t *img) { if (img->data) free(img->data); delete img; }); |
| | | *image_ptr = load_image(image_filename); |
| | | return detect(*image_ptr, thresh); |
| | | return detect(*image_ptr, thresh, use_mean); |
| | | } |
| | | |
| | | static image load_image_stb(char *filename, int channels) |
| | |
| | | } |
| | | } |
| | | |
| | | YOLODLL_API std::vector<bbox_t> Detector::detect(image_t img, float thresh) |
| | | YOLODLL_API std::vector<bbox_t> Detector::detect(image_t img, float thresh, bool use_mean) |
| | | { |
| | | |
| | | detector_gpu_t &detector_gpu = *reinterpret_cast<detector_gpu_t *>(detector_gpu_ptr.get()); |
| | |
| | | |
| | | float *X = sized.data; |
| | | |
| | | network_predict(net, X); |
| | | float *prediction = network_predict(net, X); |
| | | |
| | | if (use_mean) { |
| | | memcpy(detector_gpu.predictions[detector_gpu.demo_index], prediction, l.outputs * sizeof(float)); |
| | | mean_arrays(detector_gpu.predictions, FRAMES, l.outputs, detector_gpu.avg); |
| | | l.output = detector_gpu.avg; |
| | | detector_gpu.demo_index = (detector_gpu.demo_index + 1) % FRAMES; |
| | | } |
| | | |
| | | get_region_boxes(l, 1, 1, thresh, detector_gpu.probs, detector_gpu.boxes, 0, 0); |
| | | if (nms) do_nms_sort(detector_gpu.boxes, detector_gpu.probs, l.w*l.h*l.n, l.classes, nms); |
| | |
| | | |
| | | 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; }); |
| | | |
| | | if (cur_index >= 0 && track_id_absent) |
| | | if (cur_index >= 0 && track_id_absent) { |
| | | cur_bbox_vec[cur_index].track_id = i.track_id; |
| | | cur_bbox_vec[cur_index].w = (cur_bbox_vec[cur_index].w + i.w) / 2; |
| | | cur_bbox_vec[cur_index].h = (cur_bbox_vec[cur_index].h + i.h) / 2; |
| | | } |
| | | } |
| | | } |
| | | |