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| | | #include "network.h" |
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| | | #include "detection_layer.h" |
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| | | #include "utils.h" |
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| | | #include "parser.h" |
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| | | |
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| | | |
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| | | char *class_names[] = {"bg", "aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"}; |
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| | | char *class_names[] = {"aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"}; |
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| | | char *inet_class_names[] = {"bg", "accordion", "airplane", "ant", "antelope", "apple", "armadillo", "artichoke", "axe", "baby bed", "backpack", "bagel", "balance beam", "banana", "band aid", "banjo", "baseball", "basketball", "bathing cap", "beaker", "bear", "bee", "bell pepper", "bench", "bicycle", "binder", "bird", "bookshelf", "bow tie", "bow", "bowl", "brassiere", "burrito", "bus", "butterfly", "camel", "can opener", "car", "cart", "cattle", "cello", "centipede", "chain saw", "chair", "chime", "cocktail shaker", "coffee maker", "computer keyboard", "computer mouse", "corkscrew", "cream", "croquet ball", "crutch", "cucumber", "cup or mug", "diaper", "digital clock", "dishwasher", "dog", "domestic cat", "dragonfly", "drum", "dumbbell", "electric fan", "elephant", "face powder", "fig", "filing cabinet", "flower pot", "flute", "fox", "french horn", "frog", "frying pan", "giant panda", "goldfish", "golf ball", "golfcart", "guacamole", "guitar", "hair dryer", "hair spray", "hamburger", "hammer", "hamster", "harmonica", "harp", "hat with a wide brim", "head cabbage", "helmet", "hippopotamus", "horizontal bar", "horse", "hotdog", "iPod", "isopod", "jellyfish", "koala bear", "ladle", "ladybug", "lamp", "laptop", "lemon", "lion", "lipstick", "lizard", "lobster", "maillot", "maraca", "microphone", "microwave", "milk can", "miniskirt", "monkey", "motorcycle", "mushroom", "nail", "neck brace", "oboe", "orange", "otter", "pencil box", "pencil sharpener", "perfume", "person", "piano", "pineapple", "ping-pong ball", "pitcher", "pizza", "plastic bag", "plate rack", "pomegranate", "popsicle", "porcupine", "power drill", "pretzel", "printer", "puck", "punching bag", "purse", "rabbit", "racket", "ray", "red panda", "refrigerator", "remote control", "rubber eraser", "rugby ball", "ruler", "salt or pepper shaker", "saxophone", "scorpion", "screwdriver", "seal", "sheep", "ski", "skunk", "snail", "snake", "snowmobile", "snowplow", "soap dispenser", "soccer ball", "sofa", "spatula", "squirrel", "starfish", "stethoscope", "stove", "strainer", "strawberry", "stretcher", "sunglasses", "swimming trunks", "swine", "syringe", "table", "tape player", "tennis ball", "tick", "tie", "tiger", "toaster", "traffic light", "train", "trombone", "trumpet", "turtle", "tv or monitor", "unicycle", "vacuum", "violin", "volleyball", "waffle iron", "washer", "water bottle", "watercraft", "whale", "wine bottle", "zebra"}; |
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| | | #define AMNT 3 |
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| | | void draw_detection(image im, float *box, int side) |
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| | | { |
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| | | int classes = 21; |
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| | | int classes = 20; |
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| | | int elems = 4+classes; |
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| | | int j; |
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| | | int r, c; |
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| | |
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| | | //printf("%d\n", j); |
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| | | //printf("Prob: %f\n", box[j]); |
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| | | int class = max_index(box+j, classes); |
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| | | if(box[j+class] > .02 || 1){ |
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| | | if(box[j+class] > .2){ |
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| | | //int z; |
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| | | //for(z = 0; z < classes; ++z) printf("%f %s\n", box[j+z], class_names[z]); |
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| | | printf("%f %s\n", box[j+class], class_names[class]); |
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| | |
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| | | float green = get_color(1,class,classes); |
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| | | float blue = get_color(2,class,classes); |
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| | | |
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| | | //float maxheight = distance_from_edge(r, side); |
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| | | //float maxwidth = distance_from_edge(c, side); |
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| | | j += classes; |
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| | | int d = im.w/side; |
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| | | int y = r*d+box[j]*d; |
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| | | int x = c*d+box[j+1]*d; |
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| | | int h = box[j+2]*im.h; |
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| | | int w = box[j+3]*im.w; |
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| | | draw_box(im, x-w/2, y-h/2, x+w/2, y+h/2,red,green,blue); |
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| | | float y = box[j+0]; |
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| | | float x = box[j+1]; |
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| | | x = (x+c)/side; |
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| | | y = (y+r)/side; |
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| | | float h = box[j+2]; //*maxheight; |
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| | | float w = box[j+3]; //*maxwidth; |
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| | | h = h*h; |
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| | | w = w*w; |
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| | | //printf("coords %f %f %f %f\n", x, y, w, h); |
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| | | |
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| | | int left = (x-w/2)*im.w; |
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| | | int right = (x+w/2)*im.w; |
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| | | int top = (y-h/2)*im.h; |
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| | | int bot = (y+h/2)*im.h; |
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| | | draw_box(im, left, top, right, bot, red, green, blue); |
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| | | } |
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| | | } |
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| | | } |
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| | | |
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| | | void train_detection(char *cfgfile, char *weightfile) |
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| | | { |
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| | | srand(time(0)); |
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| | | int imgnet = 0; |
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| | | char *base = basecfg(cfgfile); |
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| | | printf("%s\n", base); |
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| | | float avg_loss = -1; |
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| | |
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| | | if(weightfile){ |
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| | | load_weights(&net, weightfile); |
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| | | } |
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| | | //net.seen = 0; |
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| | | detection_layer *layer = get_network_detection_layer(net); |
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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 = 128; |
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| | | srand(time(0)); |
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| | | //srand(23410); |
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| | | int i = net.seen/imgs; |
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| | | list *plist = get_paths("/home/pjreddie/data/voc/train.txt"); |
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| | | char **paths = (char **)list_to_array(plist); |
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| | | printf("%d\n", plist->size); |
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| | | data train, buffer; |
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| | | int im_dim = 512; |
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| | | int jitter = 64; |
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| | | int classes = 20; |
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| | | int background = 1; |
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| | | pthread_t load_thread = load_data_detection_thread(imgs, paths, plist->size, classes, im_dim, im_dim, 7, 7, jitter, background, &buffer); |
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| | | |
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| | | int classes = layer->classes; |
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| | | int background = layer->background; |
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| | | int side = sqrt(get_detection_layer_locations(*layer)); |
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| | | |
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| | | char **paths; |
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| | | list *plist; |
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| | | if (imgnet){ |
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| | | plist = get_paths("/home/pjreddie/data/imagenet/det.train.list"); |
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| | | }else{ |
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| | | plist = get_paths("/home/pjreddie/data/voc/trainall.txt"); |
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| | | } |
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| | | paths = (char **)list_to_array(plist); |
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| | | pthread_t load_thread = load_data_detection_thread(imgs, paths, plist->size, classes, net.w, net.h, side, side, background, &buffer); |
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| | | clock_t time; |
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| | | while(1){ |
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| | | i += 1; |
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| | | time=clock(); |
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| | | pthread_join(load_thread, 0); |
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| | | train = buffer; |
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| | | load_thread = load_data_detection_thread(imgs, paths, plist->size, classes, im_dim, im_dim, 7, 7, jitter, background, &buffer); |
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| | | load_thread = load_data_detection_thread(imgs, paths, plist->size, classes, net.w, net.h, side, side, background, &buffer); |
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| | | |
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| | | /* |
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| | | image im = float_to_image(im_dim - jitter, im_dim-jitter, 3, train.X.vals[114]); |
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| | | image im = float_to_image(im_dim, im_dim, 3, train.X.vals[114]); |
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| | | draw_detection(im, train.y.vals[114], 7); |
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| | | show_image(im, "truth"); |
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| | | cvWaitKey(0); |
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| | | */ |
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| | | |
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| | | printf("Loaded: %lf seconds\n", sec(clock()-time)); |
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| | |
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| | | if(weightfile){ |
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| | | load_weights(&net, weightfile); |
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| | | } |
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| | | detection_layer *layer = get_network_detection_layer(net); |
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| | | fprintf(stderr, "Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay); |
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| | | srand(time(0)); |
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| | | |
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| | | list *plist = get_paths("/home/pjreddie/data/voc/val.txt"); |
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| | | //list *plist = get_paths("/home/pjreddie/data/voc/val.expanded.txt"); |
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| | | //list *plist = get_paths("/home/pjreddie/data/voc/train.txt"); |
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| | | char **paths = (char **)list_to_array(plist); |
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| | | int im_size = 448; |
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| | | int classes = 20; |
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| | | int background = 0; |
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| | | int nuisance = 1; |
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| | | int num_output = 7*7*(4+classes+background+nuisance); |
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| | | |
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| | | int classes = layer->classes; |
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| | | int nuisance = layer->nuisance; |
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| | | int background = (layer->background && !nuisance); |
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| | | int num_boxes = sqrt(get_detection_layer_locations(*layer)); |
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| | | |
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| | | int per_box = 4+classes+background+nuisance; |
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| | | int num_output = num_boxes*num_boxes*per_box; |
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| | | |
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| | | int m = plist->size; |
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| | | int i = 0; |
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| | | |
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| | | fprintf(stderr, "%d\n", m); |
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| | | data val, buffer; |
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| | | pthread_t load_thread = load_data_thread(paths, num, 0, 0, num_output, im_size, im_size, &buffer); |
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| | | pthread_t load_thread = load_data_thread(paths, num, 0, 0, num_output, net.w, net.h, &buffer); |
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| | | clock_t time; |
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| | | for(i = 1; i <= splits; ++i){ |
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| | | time=clock(); |
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| | | |
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| | | num = (i+1)*m/splits - i*m/splits; |
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| | | char **part = paths+(i*m/splits); |
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| | | if(i != splits) load_thread = load_data_thread(part, num, 0, 0, num_output, im_size, im_size, &buffer); |
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| | | if(i != splits) load_thread = load_data_thread(part, num, 0, 0, num_output, net.w, net.h, &buffer); |
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| | | |
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| | | fprintf(stderr, "%d: Loaded: %lf seconds\n", i, sec(clock()-time)); |
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| | | matrix pred = network_predict_data(net, val); |
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| | | int j, k, class; |
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| | | for(j = 0; j < pred.rows; ++j){ |
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| | | for(k = 0; k < pred.cols; k += classes+4+background+nuisance){ |
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| | | for(k = 0; k < pred.cols; k += per_box){ |
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| | | float scale = 1.; |
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| | | if(nuisance) scale = 1.-pred.vals[j][k]; |
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| | | for(class = 0; class < classes; ++class){ |
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| | | int index = (k)/(classes+4+background+nuisance); |
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| | | int r = index/7; |
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| | | int c = index%7; |
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| | | int index = k/per_box; |
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| | | int row = index / num_boxes; |
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| | | int col = index % num_boxes; |
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| | | if (nuisance) scale = 1.-pred.vals[j][k]; |
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| | | for (class = 0; class < classes; ++class){ |
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| | | int ci = k+classes+background+nuisance; |
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| | | float y = (r + pred.vals[j][ci + 0])/7.; |
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| | | float x = (c + pred.vals[j][ci + 1])/7.; |
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| | | float h = pred.vals[j][ci + 2]; |
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| | | float w = pred.vals[j][ci + 3]; |
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| | | printf("%d %d %f %f %f %f %f\n", (i-1)*m/splits + j, class, scale*pred.vals[j][k+class+background+nuisance], y, x, h, w); |
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| | | float y = (pred.vals[j][ci + 0] + row)/num_boxes; |
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| | | float x = (pred.vals[j][ci + 1] + col)/num_boxes; |
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| | | float h = pred.vals[j][ci + 2]; //* distance_from_edge(row, num_boxes); |
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| | | h = h*h; |
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| | | float w = pred.vals[j][ci + 3]; //* distance_from_edge(col, num_boxes); |
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| | | w = w*w; |
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| | | float prob = scale*pred.vals[j][k+class+background+nuisance]; |
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| | | if(prob < .001) continue; |
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| | | printf("%d %d %f %f %f %f %f\n", (i-1)*m/splits + j, class, prob, y, x, h, w); |
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| | | } |
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| | | } |
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| | | } |
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| | | |
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| | | time=clock(); |
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| | | free_data(val); |
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| | | } |
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