#include "network.h"
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#include "utils.h"
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#include "parser.h"
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void train_captcha(char *cfgfile, char *weightfile)
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{
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float avg_loss = -1;
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srand(time(0));
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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("/data/captcha/train.auto5");
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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_captcha(paths, imgs, plist->size, 10, 60, 200);
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translate_data_rows(train, -128);
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scale_data_rows(train, 1./128);
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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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net.seen += imgs;
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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%10==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 decode_captcha(char *cfgfile, char *weightfile)
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{
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setbuf(stdout, NULL);
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srand(time(0));
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network net = parse_network_cfg(cfgfile);
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set_batch_network(&net, 1);
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if(weightfile){
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load_weights(&net, weightfile);
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}
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char filename[256];
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while(1){
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printf("Enter filename: ");
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fgets(filename, 256, stdin);
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strtok(filename, "\n");
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image im = load_image_color(filename, 57, 300);
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scale_image(im, 1./255.);
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float *X = im.data;
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float *predictions = network_predict(net, X);
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image out = float_to_image(57, 300, 1, predictions);
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show_image(out, "decoded");
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cvWaitKey(0);
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free_image(im);
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}
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}
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void encode_captcha(char *cfgfile, char *weightfile)
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{
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float avg_loss = -1;
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srand(time(0));
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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("/data/captcha/encode.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_captcha_encode(paths, imgs, plist->size, 57, 300);
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scale_data_rows(train, 1./255);
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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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net.seen += imgs;
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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_matrix(train.X);
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if(i%100==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 validate_captcha(char *cfgfile, char *weightfile)
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{
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srand(time(0));
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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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int numchars = 37;
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list *plist = get_paths("/data/captcha/solved.hard");
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char **paths = (char **)list_to_array(plist);
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int imgs = plist->size;
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data valid = load_data_captcha(paths, imgs, 0, 10, 60, 200);
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translate_data_rows(valid, -128);
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scale_data_rows(valid, 1./128);
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matrix pred = network_predict_data(net, valid);
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int i, k;
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int correct = 0;
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int total = 0;
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int accuracy = 0;
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for(i = 0; i < imgs; ++i){
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int allcorrect = 1;
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for(k = 0; k < 10; ++k){
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char truth = int_to_alphanum(max_index(valid.y.vals[i]+k*numchars, numchars));
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char prediction = int_to_alphanum(max_index(pred.vals[i]+k*numchars, numchars));
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if (truth != prediction) allcorrect=0;
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if (truth != '.' && truth == prediction) ++correct;
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if (truth != '.' || truth != prediction) ++total;
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}
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accuracy += allcorrect;
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}
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printf("Word Accuracy: %f, Char Accuracy %f\n", (float)accuracy/imgs, (float)correct/total);
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free_data(valid);
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}
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void test_captcha(char *cfgfile, char *weightfile)
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{
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setbuf(stdout, NULL);
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srand(time(0));
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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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set_batch_network(&net, 1);
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if(weightfile){
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load_weights(&net, weightfile);
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}
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char filename[256];
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while(1){
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//printf("Enter filename: ");
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fgets(filename, 256, stdin);
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strtok(filename, "\n");
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image im = load_image_color(filename, 60, 200);
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translate_image(im, -128);
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scale_image(im, 1/128.);
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float *X = im.data;
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float *predictions = network_predict(net, X);
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print_letters(predictions, 10);
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free_image(im);
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}
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}
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void run_captcha(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], "test")) test_captcha(cfg, weights);
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else if(0==strcmp(argv[2], "train")) train_captcha(cfg, weights);
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else if(0==strcmp(argv[2], "encode")) encode_captcha(cfg, weights);
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else if(0==strcmp(argv[2], "decode")) decode_captcha(cfg, weights);
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else if(0==strcmp(argv[2], "valid")) validate_captcha(cfg, weights);
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}
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