| | |
| | | pthread_t load_thread; |
| | | data train; |
| | | data buffer; |
| | | load_thread = load_data_thread(paths, imgs, plist->size, labels, 1000, 256, 256, &buffer); |
| | | load_thread = load_data_thread(paths, imgs, plist->size, labels, 1000, net.w, net.h, &buffer); |
| | | while(1){ |
| | | ++i; |
| | | time=clock(); |
| | |
| | | cvWaitKey(0); |
| | | */ |
| | | |
| | | load_thread = load_data_thread(paths, imgs, plist->size, labels, 1000, 256, 256, &buffer); |
| | | load_thread = load_data_thread(paths, imgs, plist->size, labels, 1000, net.w, net.h, &buffer); |
| | | printf("Loaded: %lf seconds\n", sec(clock()-time)); |
| | | time=clock(); |
| | | float loss = train_network(net, train); |
| | |
| | | avg_loss = avg_loss*.9 + loss*.1; |
| | | printf("%d: %f, %f avg, %lf seconds, %d images\n", i, loss, avg_loss, sec(clock()-time), net.seen); |
| | | free_data(train); |
| | | if((i % 30000) == 0) net.learning_rate *= .1; |
| | | if((i % 20000) == 0) net.learning_rate *= .1; |
| | | if(i%1000==0){ |
| | | char buff[256]; |
| | | sprintf(buff, "/home/pjreddie/imagenet_backup/%s_%d.weights",base, i); |