| | |
| | | layer.noobject_scale = option_find_float(options, "noobject_scale", 1); |
| | | layer.class_scale = option_find_float(options, "class_scale", 1); |
| | | layer.jitter = option_find_float(options, "jitter", .2); |
| | | layer.random = option_find_int_quiet(options, "random", 0); |
| | | return layer; |
| | | } |
| | | |
| | |
| | | |
| | | char *policy_s = option_find_str(options, "policy", "constant"); |
| | | net->policy = get_policy(policy_s); |
| | | net->burn_in = option_find_int_quiet(options, "burn_in", 0); |
| | | if(net->policy == STEP){ |
| | | net->step = option_find_int(options, "step", 1); |
| | | net->scale = option_find_float(options, "scale", 1); |
| | |
| | | } |
| | | } |
| | | } |
| | | binarize_filters2(l.filters, l.n, l.c*l.size*l.size, l.cfilters, l.scales); |
| | | #ifdef GPU |
| | | if(gpu_index >= 0){ |
| | | push_convolutional_layer(l); |
| | |
| | | if (l.flipped) { |
| | | transpose_matrix(l.filters, l.c*l.size*l.size, l.n); |
| | | } |
| | | if (l.binary) binarize_filters(l.filters, l.n, l.c*l.size*l.size, l.filters); |
| | | //if (l.binary) binarize_filters(l.filters, l.n, l.c*l.size*l.size, l.filters); |
| | | #ifdef GPU |
| | | if(gpu_index >= 0){ |
| | | push_convolutional_layer(l); |