| | |
| | | int rescore = option_find_int(options, "rescore", 0); |
| | | int joint = option_find_int(options, "joint", 0); |
| | | int objectness = option_find_int(options, "objectness", 0); |
| | | int background = option_find_int(options, "background", 1); |
| | | int background = option_find_int(options, "background", 0); |
| | | detection_layer layer = make_detection_layer(params.batch, params.inputs, classes, coords, joint, rescore, background, objectness); |
| | | option_unused(options); |
| | | return layer; |
| | |
| | | }else{ |
| | | fprintf(stderr, "Type not recognized: %s\n", s->type); |
| | | } |
| | | l.dontload = option_find_int_quiet(options, "dontload", 0); |
| | | net.layers[count] = l; |
| | | free_section(s); |
| | | n = n->next; |
| | |
| | | |
| | | void load_weights_upto(network *net, char *filename, int cutoff) |
| | | { |
| | | fprintf(stderr, "Loading weights from %s\n", filename); |
| | | fprintf(stderr, "Loading weights from %s...", filename); |
| | | fflush(stdout); |
| | | FILE *fp = fopen(filename, "r"); |
| | | if(!fp) file_error(filename); |
| | | |
| | |
| | | fread(&net->momentum, sizeof(float), 1, fp); |
| | | fread(&net->decay, sizeof(float), 1, fp); |
| | | fread(&net->seen, sizeof(int), 1, fp); |
| | | fprintf(stderr, "%f %f %f %d\n", net->learning_rate, net->momentum, net->decay, net->seen); |
| | | |
| | | int i; |
| | | for(i = 0; i < net->n && i < cutoff; ++i){ |
| | | layer l = net->layers[i]; |
| | | if (l.dontload) continue; |
| | | if(l.type == CONVOLUTIONAL){ |
| | | int num = l.n*l.c*l.size*l.size; |
| | | fread(l.biases, sizeof(float), l.n, fp); |
| | |
| | | #endif |
| | | } |
| | | } |
| | | fprintf(stderr, "Done!\n"); |
| | | fclose(fp); |
| | | } |
| | | |