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CARLY RAE JEPSEN IS THE BEST POP ARTIST OF ALL TIME DON'T @ ME

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This commit is contained in:
Joseph Redmon
2018-01-22 18:09:36 -08:00
parent e3931c75cd
commit b40bbdc7b2
10 changed files with 311 additions and 58 deletions
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39
examples/classifier.c
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@@ -44,11 +44,15 @@ void train_classifier(char *datacfg, char *cfgfile, char *weightfile, int *gpus,
list *options = read_data_cfg(datacfg);
char *backup_directory = option_find_str(options, "backup", "/backup/");
int tag = option_find_int_quiet(options, "tag", 0);
char *label_list = option_find_str(options, "labels", "data/labels.list");
char *train_list = option_find_str(options, "train", "data/train.list");
int classes = option_find_int(options, "classes", 2);
char **labels = get_labels(label_list);
char **labels;
if(!tag){
labels = get_labels(label_list);
}
list *plist = get_paths(train_list);
char **paths = (char **)list_to_array(plist);
printf("%d\n", plist->size);
@@ -76,7 +80,11 @@ void train_classifier(char *datacfg, char *cfgfile, char *weightfile, int *gpus,
args.n = imgs;
args.m = N;
args.labels = labels;
args.type = CLASSIFICATION_DATA;
if (tag){
args.type = TAG_DATA;
} else {
args.type = CLASSIFICATION_DATA;
}
data train;
data buffer;
@@ -385,15 +393,13 @@ void validate_classifier_single(char *datacfg, char *filename, char *weightfile)
}
}
image im = load_image_color(paths[i], 0, 0);
image resized = resize_min(im, net->w);
image crop = crop_image(resized, (resized.w - net->w)/2, (resized.h - net->h)/2, net->w, net->h);
image crop = center_crop_image(im, net->w, net->h);
//show_image(im, "orig");
//show_image(crop, "cropped");
//cvWaitKey(0);
float *pred = network_predict(net, crop.data);
if(net->hierarchy) hierarchy_predictions(pred, net->outputs, net->hierarchy, 1, 1);
if(resized.data != im.data) free_image(resized);
free_image(im);
free_image(crop);
top_k(pred, classes, topk, indexes);
@@ -955,6 +961,8 @@ void gun_classifier(char *datacfg, char *cfgfile, char *weightfile, int cam_inde
void demo_classifier(char *datacfg, char *cfgfile, char *weightfile, int cam_index, const char *filename)
{
#ifdef OPENCV
char *base = basecfg(cfgfile);
image **alphabet = load_alphabet();
printf("Classifier Demo\n");
network *net = load_network(cfgfile, weightfile, 0);
set_batch_network(net, 1);
@@ -988,8 +996,8 @@ void demo_classifier(char *datacfg, char *cfgfile, char *weightfile, int cam_ind
int *indexes = calloc(top, sizeof(int));
if(!cap) error("Couldn't connect to webcam.\n");
cvNamedWindow("Classifier", CV_WINDOW_NORMAL);
cvResizeWindow("Classifier", 512, 512);
cvNamedWindow(base, CV_WINDOW_NORMAL);
cvResizeWindow(base, 512, 512);
float fps = 0;
int i;
@@ -998,8 +1006,8 @@ void demo_classifier(char *datacfg, char *cfgfile, char *weightfile, int cam_ind
gettimeofday(&tval_before, NULL);
image in = get_image_from_stream(cap);
image in_s = resize_image(in, net->w, net->h);
show_image(in, "Classifier");
//image in_s = resize_image(in, net->w, net->h);
image in_s = letterbox_image(in, net->w, net->h);
float *predictions = network_predict(net, in_s.data);
if(net->hierarchy) hierarchy_predictions(predictions, net->outputs, net->hierarchy, 1, 1);
@@ -1009,11 +1017,24 @@ void demo_classifier(char *datacfg, char *cfgfile, char *weightfile, int cam_ind
printf("\033[1;1H");
printf("\nFPS:%.0f\n",fps);
int lh = in.h*.03;
int toph = 3*lh;
float rgb[3] = {1,1,1};
for(i = 0; i < top; ++i){
printf("%d\n", toph);
int index = indexes[i];
printf("%.1f%%: %s\n", predictions[index]*100, names[index]);
char buff[1024];
sprintf(buff, "%3.1f%%: %s\n", predictions[index]*100, names[index]);
image label = get_label(alphabet, buff, lh);
draw_label(in, toph, lh, label, rgb);
toph += 2*lh;
free_image(label);
}
show_image(in, base);
free_image(in_s);
free_image(in);