Fixed yolov3-tiny_xnor.cfg
| | |
| | | activation=leaky |
| | | |
| | | [convolutional] |
| | | xnor=1 |
| | | batch_normalize=1 |
| | | filters=512 |
| | | size=3 |
| | |
| | | activation=leaky |
| | | |
| | | [convolutional] |
| | | xnor=1 |
| | | batch_normalize=1 |
| | | filters=512 |
| | | size=3 |
| | |
| | | |
| | | //fprintf(stderr, "conv %5d %2d x%2d /%2d %4d x%4d x%4d -> %4d x%4d x%4d\n", n, size, size, stride, w, h, c, l.out_w, l.out_h, l.out_c); |
| | | l.bflops = (2.0 * l.n * l.size*l.size*l.c * l.out_h*l.out_w) / 1000000000.; |
| | | fprintf(stderr, "conv %5d %2d x%2d /%2d %4d x%4d x%4d -> %4d x%4d x%4d %5.3f BF\n", n, size, size, stride, w, h, c, l.out_w, l.out_h, l.out_c, l.bflops); |
| | | if (l.xnor) fprintf(stderr, "convX "); |
| | | else fprintf(stderr, "conv "); |
| | | fprintf(stderr, "%5d %2d x%2d /%2d %4d x%4d x%4d -> %4d x%4d x%4d %5.3f BF\n", n, size, size, stride, w, h, c, l.out_w, l.out_h, l.out_c, l.bflops); |
| | | |
| | | return l; |
| | | } |