| | |
| | | void delta_yolo_class(float *output, float *delta, int index, int class_id, int classes, int stride, float *avg_cat, int focal_loss) |
| | | { |
| | | int n; |
| | | if (delta[index]){ |
| | | if (delta[index + stride*class_id]){ |
| | | delta[index + stride*class_id] = 1 - output[index + stride*class_id]; |
| | | if(avg_cat) *avg_cat += output[index + stride*class_id]; |
| | | return; |
| | |
| | | int best_t = 0; |
| | | for(t = 0; t < l.max_boxes; ++t){ |
| | | box truth = float_to_box_stride(state.truth + t*(4 + 1) + b*l.truths, 1); |
| | | int class_id = state.truth[t*(4 + 1) + b*l.truths + 4]; |
| | | if (class_id >= l.classes) { |
| | | printf(" Warning: in txt-labels class_id=%d >= classes=%d in cfg-file. In txt-labels class_id should be [from 0 to %d] \n", class_id, l.classes, l.classes - 1); |
| | | getchar(); |
| | | continue; // if label contains class_id more than number of classes in the cfg-file |
| | | } |
| | | if(!truth.x) break; |
| | | float iou = box_iou(pred, truth); |
| | | if (iou > best_iou) { |
| | |
| | | if (best_iou > l.truth_thresh) { |
| | | l.delta[obj_index] = 1 - l.output[obj_index]; |
| | | |
| | | int class = state.truth[best_t*(4 + 1) + b*l.truths + 4]; |
| | | if (l.map) class = l.map[class]; |
| | | int class_id = state.truth[best_t*(4 + 1) + b*l.truths + 4]; |
| | | if (l.map) class_id = l.map[class_id]; |
| | | int class_index = entry_index(l, b, n*l.w*l.h + j*l.w + i, 4 + 1); |
| | | delta_yolo_class(l.output, l.delta, class_index, class, l.classes, l.w*l.h, 0, l.focal_loss); |
| | | delta_yolo_class(l.output, l.delta, class_index, class_id, l.classes, l.w*l.h, 0, l.focal_loss); |
| | | box truth = float_to_box_stride(state.truth + best_t*(4 + 1) + b*l.truths, 1); |
| | | delta_yolo_box(truth, l.output, l.biases, l.mask[n], box_index, i, j, l.w, l.h, state.net.w, state.net.h, l.delta, (2-truth.w*truth.h), l.w*l.h); |
| | | } |
| | |
| | | } |
| | | for(t = 0; t < l.max_boxes; ++t){ |
| | | box truth = float_to_box_stride(state.truth + t*(4 + 1) + b*l.truths, 1); |
| | | int class_id = state.truth[t*(4 + 1) + b*l.truths + 4]; |
| | | if (class_id >= l.classes) continue; // if label contains class_id more than number of classes in the cfg-file |
| | | |
| | | if(!truth.x) break; |
| | | float best_iou = 0; |
| | |
| | | avg_obj += l.output[obj_index]; |
| | | l.delta[obj_index] = 1 - l.output[obj_index]; |
| | | |
| | | int class = state.truth[t*(4 + 1) + b*l.truths + 4]; |
| | | if (l.map) class = l.map[class]; |
| | | int class_id = state.truth[t*(4 + 1) + b*l.truths + 4]; |
| | | if (l.map) class_id = l.map[class_id]; |
| | | int class_index = entry_index(l, b, mask_n*l.w*l.h + j*l.w + i, 4 + 1); |
| | | delta_yolo_class(l.output, l.delta, class_index, class, l.classes, l.w*l.h, &avg_cat, l.focal_loss); |
| | | delta_yolo_class(l.output, l.delta, class_index, class_id, l.classes, l.w*l.h, &avg_cat, l.focal_loss); |
| | | |
| | | ++count; |
| | | ++class_count; |