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https://github.com/pjreddie/darknet.git
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it's raining really hard outside :-( :rain: :storm: ☁️
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@@ -30,13 +30,10 @@ void train_captcha(char *cfgfile, char *weightfile)
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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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network *net = load_network(cfgfile, weightfile, 0);
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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 i = *net->seen/imgs;
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int solved = 1;
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list *plist;
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char **labels = get_labels("/data/captcha/reimgs.labels.list");
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@@ -53,8 +50,8 @@ void train_captcha(char *cfgfile, char *weightfile)
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data 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.w = net->w;
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args.h = net->h;
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args.paths = paths;
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args.classes = 26;
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args.n = imgs;
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@@ -83,7 +80,7 @@ void train_captcha(char *cfgfile, char *weightfile)
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float loss = train_network(net, train);
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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, %ld images\n", i, loss, avg_loss, sec(clock()-time), *net.seen);
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printf("%d: %f, %f avg, %lf seconds, %ld images\n", i, loss, avg_loss, sec(clock()-time), *net->seen);
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free_data(train);
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if(i%100==0){
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char buff[256];
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@@ -95,11 +92,8 @@ void train_captcha(char *cfgfile, char *weightfile)
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void test_captcha(char *cfgfile, char *weightfile, char *filename)
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{
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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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set_batch_network(&net, 1);
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network *net = load_network(cfgfile, weightfile, 0);
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set_batch_network(net, 1);
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srand(2222222);
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int i = 0;
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char **names = get_labels("/data/captcha/reimgs.labels.list");
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@@ -116,7 +110,7 @@ void test_captcha(char *cfgfile, char *weightfile, char *filename)
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if(!input) return;
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strtok(input, "\n");
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}
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image im = load_image_color(input, net.w, net.h);
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image im = load_image_color(input, net->w, net->h);
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float *X = im.data;
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float *predictions = network_predict(net, X);
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top_predictions(net, 26, indexes);
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@@ -136,21 +130,18 @@ void test_captcha(char *cfgfile, char *weightfile, char *filename)
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void valid_captcha(char *cfgfile, char *weightfile, char *filename)
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{
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char **labels = get_labels("/data/captcha/reimgs.labels.list");
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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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network *net = load_network(cfgfile, weightfile, 0);
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list *plist = get_paths("/data/captcha/reimgs.fg.list");
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char **paths = (char **)list_to_array(plist);
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int N = plist->size;
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int outputs = net.outputs;
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int outputs = net->outputs;
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set_batch_network(&net, 1);
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set_batch_network(net, 1);
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srand(2222222);
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int i, j;
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for(i = 0; i < N; ++i){
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if (i%100 == 0) fprintf(stderr, "%d\n", i);
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image im = load_image_color(paths[i], net.w, net.h);
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image im = load_image_color(paths[i], net->w, net->h);
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float *X = im.data;
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float *predictions = network_predict(net, X);
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//printf("%s: Predicted in %f seconds.\n", input, sec(clock()-time));
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@@ -185,9 +176,9 @@ void valid_captcha(char *cfgfile, char *weightfile, char *filename)
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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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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 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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@@ -201,10 +192,10 @@ void valid_captcha(char *cfgfile, char *weightfile, char *filename)
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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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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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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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@@ -251,9 +242,9 @@ 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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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 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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@@ -266,10 +257,10 @@ while(1){
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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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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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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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