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https://github.com/pjreddie/darknet.git
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@ -19,17 +19,34 @@ void train_writing(char *cfgfile, char *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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int imgs = net.batch*net.subdivisions;
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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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int N = plist->size;
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printf("N: %d\n", N);
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data train, buffer;
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load_args args = {0};
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args.w = net.w;
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args.h = net.h;
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args.paths = paths;
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args.n = imgs;
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args.m = N;
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args.downsample = 1;
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args.d = &buffer;
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args.type = WRITING_DATA;
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pthread_t load_thread = load_data_in_thread(args);
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int epoch = (*net.seen)/N;
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while(get_current_batch(net) < net.max_batches || net.max_batches == 0){
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time=clock();
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data train = load_data_writing(paths, imgs, plist->size, 256, 256, 1);
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pthread_join(load_thread, 0);
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train = buffer;
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load_thread = load_data_in_thread(args);
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printf("Loaded %lf seconds\n",sec(clock()-time));
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time=clock();
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float loss = train_network(net, train);
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@ -51,13 +68,15 @@ void train_writing(char *cfgfile, char *weightfile)
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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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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);
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free_data(train);
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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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if(*net.seen/N > epoch){
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epoch = *net.seen/N;
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char buff[256];
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sprintf(buff, "%s/%s_%d.weights", backup_directory, base, i);
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save_weights(net, buff);
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sprintf(buff, "%s/%s_%d.weights",backup_directory,base, epoch);
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//TODO
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if(get_current_batch(net)%10 == 0)
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save_weights(net, buff);
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}
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}
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}
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