| | |
| | | avg_loss = avg_loss*.9 + loss*.1; |
| | | |
| | | printf("%d: %f, %f avg, %f rate, %lf seconds, %d images\n", i, loss, avg_loss, get_current_rate(net), sec(clock()-time), i*imgs); |
| | | if(i%1000==0){ |
| | | if(i%1000==0 || (i < 1000 && i%100 == 0)){ |
| | | char buff[256]; |
| | | sprintf(buff, "%s/%s_%d.weights", backup_directory, base, i); |
| | | save_weights(net, buff); |
| | |
| | | convert_detections(predictions, l.classes, l.n, l.sqrt, l.side, 1, 1, thresh, probs, boxes, 0); |
| | | if (nms) do_nms_sort(boxes, probs, l.side*l.side*l.n, l.classes, nms); |
| | | draw_detections(im, l.side*l.side*l.n, thresh, boxes, probs, coco_classes, coco_labels, 80); |
| | | save_image(im, "prediction"); |
| | | show_image(im, "predictions"); |
| | | |
| | | show_image(sized, "resized"); |
| | | free_image(im); |
| | | free_image(sized); |
| | | #ifdef OPENCV |