| | |
| | | if(weightfile){ |
| | | load_weights(&net, weightfile); |
| | | } |
| | | detection_layer layer = get_network_detection_layer(net); |
| | | int imgs = 128; |
| | | int i = *net.seen/imgs; |
| | | |
| | |
| | | int N = plist->size; |
| | | paths = (char **)list_to_array(plist); |
| | | |
| | | if(i*imgs > N*80){ |
| | | net.layers[net.n-1].objectness = 0; |
| | | net.layers[net.n-1].joint = 1; |
| | | } |
| | | if(i*imgs > N*120){ |
| | | net.layers[net.n-1].rescore = 1; |
| | | } |
| | | data train, buffer; |
| | | |
| | | detection_layer layer = get_network_detection_layer(net); |
| | | int classes = layer.classes; |
| | | int background = layer.objectness; |
| | | int side = sqrt(get_detection_layer_locations(layer)); |