| | |
| | | #include "utils.h" |
| | | #include "parser.h" |
| | | |
| | | #ifdef OPENCV |
| | | #include "opencv2/highgui/highgui_c.h" |
| | | #endif |
| | | |
| | | void train_writing(char *cfgfile, char *weightfile) |
| | | { |
| | | char *backup_directory = "/home/pjreddie/backup/"; |
| | | data_seed = time(0); |
| | | srand(time(0)); |
| | | float avg_loss = -1; |
| | |
| | | while(1){ |
| | | ++i; |
| | | time=clock(); |
| | | data train = load_data_writing(paths, imgs, plist->size, 512, 512); |
| | | data train = load_data_writing(paths, imgs, plist->size, 256, 256, 1); |
| | | printf("Loaded %lf seconds\n",sec(clock()-time)); |
| | | time=clock(); |
| | | float loss = train_network(net, train); |
| | | #ifdef GPU |
| | | float *out = get_network_output_gpu(net); |
| | | #else |
| | | float *out = get_network_output(net); |
| | | #endif |
| | | |
| | | /* |
| | | image pred = float_to_image(64, 64, 1, out); |
| | | print_image(pred); |
| | | */ |
| | | |
| | | /* |
| | | image im = float_to_image(256, 256, 3, train.X.vals[0]); |
| | |
| | | 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 % 20000) == 0) net.learning_rate *= .1; |
| | | //if(i%100 == 0 && net.learning_rate > .00001) net.learning_rate *= .97; |
| | | if(i%1000==0){ |
| | | char buff[256]; |
| | | sprintf(buff, "/home/pjreddie/imagenet_backup/%s_%d.weights",base, i); |
| | | sprintf(buff, "%s/%s_%d.weights", backup_directory, base, i); |
| | | save_weights(net, buff); |
| | | } |
| | | } |
| | | } |
| | | |
| | | void test_writing(char *cfgfile, char *weightfile, char *outfile) |
| | | { |
| | | network net = parse_network_cfg(cfgfile); |
| | | if(weightfile){ |
| | | load_weights(&net, weightfile); |
| | | } |
| | | set_batch_network(&net, 1); |
| | | srand(2222222); |
| | | clock_t time; |
| | | char filename[256]; |
| | | |
| | | fgets(filename, 256, stdin); |
| | | strtok(filename, "\n"); |
| | | image im = load_image_color(filename, 0, 0); |
| | | //image im = load_image_color("/home/pjreddie/darknet/data/figs/C02-1001-Figure-1.png", 0, 0); |
| | | image sized = resize_image(im, net.w, net.h); |
| | | printf("%d %d %d\n", im.h, im.w, im.c); |
| | | float *X = sized.data; |
| | | time=clock(); |
| | | network_predict(net, X); |
| | | printf("%s: Predicted in %f seconds.\n", filename, sec(clock()-time)); |
| | | image pred = get_network_image(net); |
| | | |
| | | if (outfile) { |
| | | printf("Save image as %s.png (shape: %d %d)\n", outfile, pred.w, pred.h); |
| | | save_image(pred, outfile); |
| | | } else { |
| | | show_image(pred, "prediction"); |
| | | #ifdef OPENCV |
| | | cvWaitKey(0); |
| | | cvDestroyAllWindows(); |
| | | #endif |
| | | } |
| | | |
| | | free_image(im); |
| | | free_image(sized); |
| | | } |
| | | |
| | | void run_writing(int argc, char **argv) |
| | | { |
| | | if(argc < 4){ |
| | |
| | | |
| | | char *cfg = argv[3]; |
| | | char *weights = (argc > 4) ? argv[4] : 0; |
| | | char *outfile = (argc > 5) ? argv[5] : 0; |
| | | if(0==strcmp(argv[2], "train")) train_writing(cfg, weights); |
| | | else if(0==strcmp(argv[2], "test")) test_writing(cfg, weights, outfile); |
| | | } |
| | | |