#include "network.h"
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#include "utils.h"
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#include "parser.h"
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void train_writing(char *cfgfile, char *weightfile)
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{
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data_seed = time(0);
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srand(time(0));
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float avg_loss = -1;
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char *base = basecfg(cfgfile);
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printf("%s\n", base);
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network net = parse_network_cfg(cfgfile);
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if(weightfile){
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load_weights(&net, weightfile);
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}
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printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay);
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int imgs = 1024;
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int i = *net.seen/imgs;
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list *plist = get_paths("figures.list");
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char **paths = (char **)list_to_array(plist);
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printf("%d\n", plist->size);
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clock_t time;
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while(1){
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++i;
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time=clock();
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data train = load_data_writing(paths, imgs, plist->size, 512, 512);
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float loss = train_network(net, train);
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#ifdef GPU
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float *out = get_network_output_gpu(net);
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#else
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float *out = get_network_output(net);
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#endif
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image pred = float_to_image(64, 64, 1, out);
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print_image(pred);
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/*
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image im = float_to_image(256, 256, 3, train.X.vals[0]);
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image lab = float_to_image(64, 64, 1, train.y.vals[0]);
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image pred = float_to_image(64, 64, 1, out);
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show_image(im, "image");
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show_image(lab, "label");
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print_image(lab);
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show_image(pred, "pred");
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cvWaitKey(0);
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*/
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if(avg_loss == -1) avg_loss = loss;
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avg_loss = avg_loss*.9 + loss*.1;
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printf("%d: %f, %f avg, %lf seconds, %d images\n", i, loss, avg_loss, sec(clock()-time), *net.seen);
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free_data(train);
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if((i % 20000) == 0) net.learning_rate *= .1;
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//if(i%100 == 0 && net.learning_rate > .00001) net.learning_rate *= .97;
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if(i%1000==0){
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char buff[256];
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sprintf(buff, "/home/pjreddie/imagenet_backup/%s_%d.weights",base, i);
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save_weights(net, buff);
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}
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}
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}
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void run_writing(int argc, char **argv)
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{
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if(argc < 4){
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fprintf(stderr, "usage: %s %s [train/test/valid] [cfg] [weights (optional)]\n", argv[0], argv[1]);
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return;
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}
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char *cfg = argv[3];
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char *weights = (argc > 4) ? argv[4] : 0;
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if(0==strcmp(argv[2], "train")) train_writing(cfg, weights);
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}
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