| | |
| | | //network net = parse_network_cfg("/home/pjreddie/imagenet_backup/alexnet_1270.cfg"); |
| | | srand(time(0)); |
| | | network net = parse_network_cfg(cfgfile); |
| | | set_learning_network(&net, net.learning_rate, net.momentum, net.decay); |
| | | //test_learn_bias(*(convolutional_layer *)net.layers[1]); |
| | | //set_learning_network(&net, net.learning_rate, 0, net.decay); |
| | | printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay); |
| | | int imgs = 3072; |
| | | int i = net.seen/imgs; |
| | |
| | | cvWaitKey(0); |
| | | } |
| | | |
| | | void test_cifar10() |
| | | void test_cifar10(char *cfgfile) |
| | | { |
| | | network net = parse_network_cfg("cfg/cifar10_part5.cfg"); |
| | | network net = parse_network_cfg(cfgfile); |
| | | data test = load_cifar10_data("data/cifar10/test_batch.bin"); |
| | | clock_t start = clock(), end; |
| | | float test_acc = network_accuracy(net, test); |
| | | float test_acc = network_accuracy_multi(net, test, 10); |
| | | end = clock(); |
| | | printf("%f in %f Sec\n", test_acc, (float)(end-start)/CLOCKS_PER_SEC); |
| | | visualize_network(net); |
| | | cvWaitKey(0); |
| | | printf("%f in %f Sec\n", test_acc, sec(end-start)); |
| | | //visualize_network(net); |
| | | //cvWaitKey(0); |
| | | } |
| | | |
| | | void train_cifar10() |
| | | void train_cifar10(char *cfgfile) |
| | | { |
| | | srand(555555); |
| | | network net = parse_network_cfg("cfg/cifar10.cfg"); |
| | | srand(time(0)); |
| | | network net = parse_network_cfg(cfgfile); |
| | | data test = load_cifar10_data("data/cifar10/test_batch.bin"); |
| | | int count = 0; |
| | | int iters = 10000/net.batch; |
| | | int iters = 50000/net.batch; |
| | | data train = load_all_cifar10(); |
| | | while(++count <= 10000){ |
| | | clock_t time = clock(); |
| | |
| | | if(count%10 == 0){ |
| | | float test_acc = network_accuracy(net, test); |
| | | printf("%d: Loss: %f, Test Acc: %f, Time: %lf seconds\n", count, loss, test_acc,sec(clock()-time)); |
| | | //char buff[256]; |
| | | //sprintf(buff, "unikitty/cifar10_%d.cfg", count); |
| | | //save_network(net, buff); |
| | | char buff[256]; |
| | | sprintf(buff, "/home/pjreddie/imagenet_backup/cifar10_%d.cfg", count); |
| | | save_network(net, buff); |
| | | }else{ |
| | | printf("%d: Loss: %f, Time: %lf seconds\n", count, loss, sec(clock()-time)); |
| | | } |
| | |
| | | } |
| | | #endif |
| | | |
| | | if(0==strcmp(argv[1], "cifar")) train_cifar10(); |
| | | else if(0==strcmp(argv[1], "test_correct")) test_correct_alexnet(); |
| | | if(0==strcmp(argv[1], "test_correct")) test_correct_alexnet(); |
| | | else if(0==strcmp(argv[1], "test_correct_nist")) test_correct_nist(); |
| | | else if(0==strcmp(argv[1], "test")) test_imagenet(); |
| | | //else if(0==strcmp(argv[1], "server")) run_server(); |
| | |
| | | return 0; |
| | | } |
| | | else if(0==strcmp(argv[1], "detection")) train_detection_net(argv[2]); |
| | | else if(0==strcmp(argv[1], "ctrain")) train_cifar10(argv[2]); |
| | | else if(0==strcmp(argv[1], "nist")) train_nist(argv[2]); |
| | | else if(0==strcmp(argv[1], "ctest")) test_cifar10(argv[2]); |
| | | else if(0==strcmp(argv[1], "train")) train_imagenet(argv[2]); |
| | | //else if(0==strcmp(argv[1], "client")) train_imagenet_distributed(argv[2]); |
| | | else if(0==strcmp(argv[1], "detect")) test_detection(argv[2]); |