| | |
| | | printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay); |
| | | int imgs = 1024; |
| | | int i = net.seen/imgs; |
| | | list *plist = get_paths("/data/captcha/train.list"); |
| | | list *plist = get_paths("/data/captcha/train.auto5"); |
| | | char **paths = (char **)list_to_array(plist); |
| | | printf("%d\n", plist->size); |
| | | clock_t time; |
| | | while(1){ |
| | | ++i; |
| | | time=clock(); |
| | | data train = load_data_captcha(paths, imgs, plist->size, 10, 60, 200); |
| | | data train = load_data_captcha(paths, imgs, plist->size, 10, 200, 60); |
| | | translate_data_rows(train, -128); |
| | | scale_data_rows(train, 1./128); |
| | | printf("Loaded: %lf seconds\n", sec(clock()-time)); |
| | |
| | | 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%100==0){ |
| | | if(i%10==0){ |
| | | char buff[256]; |
| | | sprintf(buff, "/home/pjreddie/imagenet_backup/%s_%d.weights",base, i); |
| | | save_weights(net, buff); |
| | |
| | | printf("Enter filename: "); |
| | | fgets(filename, 256, stdin); |
| | | strtok(filename, "\n"); |
| | | image im = load_image_color(filename, 60, 200); |
| | | image im = load_image_color(filename, 300, 57); |
| | | scale_image(im, 1./255.); |
| | | float *X = im.data; |
| | | float *predictions = network_predict(net, X); |
| | | image out = float_to_image(60, 200, 3, predictions); |
| | | image out = float_to_image(300, 57, 1, predictions); |
| | | show_image(out, "decoded"); |
| | | #ifdef OPENCV |
| | | cvWaitKey(0); |
| | | #endif |
| | | free_image(im); |
| | | } |
| | | } |
| | |
| | | while(1){ |
| | | ++i; |
| | | time=clock(); |
| | | data train = load_data_captcha_encode(paths, imgs, plist->size, 60, 200); |
| | | data train = load_data_captcha_encode(paths, imgs, plist->size, 300, 57); |
| | | scale_data_rows(train, 1./255); |
| | | printf("Loaded: %lf seconds\n", sec(clock()-time)); |
| | | time=clock(); |
| | |
| | | if(weightfile){ |
| | | load_weights(&net, weightfile); |
| | | } |
| | | int imgs = 1000; |
| | | int numchars = 37; |
| | | list *plist = get_paths("/data/captcha/valid.base"); |
| | | list *plist = get_paths("/data/captcha/solved.hard"); |
| | | char **paths = (char **)list_to_array(plist); |
| | | data valid = load_data_captcha(paths, imgs, 0, 10, 60, 200); |
| | | int imgs = plist->size; |
| | | data valid = load_data_captcha(paths, imgs, 0, 10, 200, 60); |
| | | translate_data_rows(valid, -128); |
| | | scale_data_rows(valid, 1./128); |
| | | matrix pred = network_predict_data(net, valid); |
| | |
| | | //printf("Enter filename: "); |
| | | fgets(filename, 256, stdin); |
| | | strtok(filename, "\n"); |
| | | image im = load_image_color(filename, 60, 200); |
| | | image im = load_image_color(filename, 200, 60); |
| | | translate_image(im, -128); |
| | | scale_image(im, 1/128.); |
| | | float *X = im.data; |