| | |
| | | return v; |
| | | } |
| | | |
| | | void train_classifier_multi(char *datacfg, char *cfgfile, char *weightfile, int *gpus, int ngpus, int clear) |
| | | void train_classifier(char *datacfg, char *cfgfile, char *weightfile, int *gpus, int ngpus, int clear) |
| | | { |
| | | #ifdef GPU |
| | | int i; |
| | | |
| | | float avg_loss = -1; |
| | |
| | | int seed = rand(); |
| | | for(i = 0; i < ngpus; ++i){ |
| | | srand(seed); |
| | | #ifdef GPU |
| | | cuda_set_device(gpus[i]); |
| | | #endif |
| | | nets[i] = parse_network_cfg(cfgfile); |
| | | if(weightfile){ |
| | | load_weights(&nets[i], weightfile); |
| | |
| | | printf("Loaded: %lf seconds\n", sec(clock()-time)); |
| | | time=clock(); |
| | | |
| | | float loss = train_networks(nets, ngpus, train, 4); |
| | | float loss = 0; |
| | | #ifdef GPU |
| | | if(ngpus == 1){ |
| | | loss = train_network(net, train); |
| | | } else { |
| | | loss = train_networks(nets, ngpus, train, 4); |
| | | } |
| | | #else |
| | | loss = train_network(net, train); |
| | | #endif |
| | | if(avg_loss == -1) avg_loss = loss; |
| | | avg_loss = avg_loss*.9 + loss*.1; |
| | | printf("%d, %.3f: %f, %f avg, %f rate, %lf seconds, %d images\n", get_current_batch(net), (float)(*net.seen)/N, loss, avg_loss, get_current_rate(net), sec(clock()-time), *net.seen); |
| | |
| | | free_ptrs((void**)paths, plist->size); |
| | | free_list(plist); |
| | | free(base); |
| | | #endif |
| | | } |
| | | |
| | | |
| | | /* |
| | | void train_classifier(char *datacfg, char *cfgfile, char *weightfile, int clear) |
| | | { |
| | | srand(time(0)); |
| | |
| | | free_list(plist); |
| | | free(base); |
| | | } |
| | | */ |
| | | |
| | | void validate_classifier_crop(char *datacfg, char *filename, char *weightfile) |
| | | { |
| | |
| | | |
| | | char *gpu_list = find_char_arg(argc, argv, "-gpus", 0); |
| | | int *gpus = 0; |
| | | int gpu = 0; |
| | | int ngpus = 0; |
| | | if(gpu_list){ |
| | | printf("%s\n", gpu_list); |
| | |
| | | gpus[i] = atoi(gpu_list); |
| | | gpu_list = strchr(gpu_list, ',')+1; |
| | | } |
| | | } else { |
| | | gpu = gpu_index; |
| | | gpus = &gpu; |
| | | ngpus = 1; |
| | | } |
| | | |
| | | int cam_index = find_int_arg(argc, argv, "-c", 0); |
| | |
| | | int layer = layer_s ? atoi(layer_s) : -1; |
| | | if(0==strcmp(argv[2], "predict")) predict_classifier(data, cfg, weights, filename, top); |
| | | else if(0==strcmp(argv[2], "try")) try_classifier(data, cfg, weights, filename, atoi(layer_s)); |
| | | else if(0==strcmp(argv[2], "train")) train_classifier(data, cfg, weights, clear); |
| | | else if(0==strcmp(argv[2], "trainm")) train_classifier_multi(data, cfg, weights, gpus, ngpus, clear); |
| | | else if(0==strcmp(argv[2], "train")) train_classifier(data, cfg, weights, gpus, ngpus, clear); |
| | | else if(0==strcmp(argv[2], "demo")) demo_classifier(data, cfg, weights, cam_index, filename); |
| | | else if(0==strcmp(argv[2], "gun")) gun_classifier(data, cfg, weights, cam_index, filename); |
| | | else if(0==strcmp(argv[2], "threat")) threat_classifier(data, cfg, weights, cam_index, filename); |