blame | history | patch | commit | commitdiff | ignore whitespace
AlexeyAB
2018-04-10 2ce6460c79e06caa33eab3991ee3e7fd9f0909d6 
 src/coco.c


@@ -12,22 +12,18 @@


#include "opencv2/highgui/highgui_c.h"


#endif




void convert_detections(float *predictions, int classes, int num, int square, int side, int w, int h, float thresh, float **probs, box *boxes, int only_objectness);




char *coco_classes[] = {"person","bicycle","car","motorcycle","airplane","bus","train","truck","boat","traffic light","fire hydrant","stop sign","parking meter","bench","bird","cat","dog","horse","sheep","cow","elephant","bear","zebra","giraffe","backpack","umbrella","handbag","tie","suitcase","frisbee","skis","snowboard","sports ball","kite","baseball bat","baseball glove","skateboard","surfboard","tennis racket","bottle","wine glass","cup","fork","knife","spoon","bowl","banana","apple","sandwich","orange","broccoli","carrot","hot dog","pizza","donut","cake","chair","couch","potted plant","bed","dining table","toilet","tv","laptop","mouse","remote","keyboard","cell phone","microwave","oven","toaster","sink","refrigerator","book","clock","vase","scissors","teddy bear","hair drier","toothbrush"};




int coco_ids[] = {1,2,3,4,5,6,7,8,9,10,11,13,14,15,16,17,18,19,20,21,22,23,24,25,27,28,31,32,33,34,35,36,37,38,39,40,41,42,43,44,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,67,70,72,73,74,75,76,77,78,79,80,81,82,84,85,86,87,88,89,90};




image coco_labels[80];




void train_coco(char *cfgfile, char *weightfile)


{


    //char *train_images = "/home/pjreddie/data/voc/test/train.txt";


    //char *train_images = "/home/pjreddie/data/coco/train.txt";


    char *train_images = "data/coco.trainval.txt";


    //char *train_images = "data/bags.train.list";


    char *backup_directory = "/home/pjreddie/backup/";


    srand(time(0));


    data_seed = time(0);


    char *base = basecfg(cfgfile);


    printf("%s\n", base);


    float avg_loss = -1;


@@ -63,6 +59,11 @@


    args.d = &buffer;


    args.type = REGION_DATA;




    args.angle = net.angle;


    args.exposure = net.exposure;


    args.saturation = net.saturation;


    args.hue = net.hue;




    pthread_t load_thread = load_data_in_thread(args);


    clock_t time;


    //while(i*imgs < N*120){


@@ -94,6 +95,11 @@


            sprintf(buff, "%s/%s_%d.weights", backup_directory, base, i);


            save_weights(net, buff);


        }


        if(i%100==0){


            char buff[256];


            sprintf(buff, "%s/%s.backup", backup_directory, base);


            save_weights(net, buff);


        }


        free_data(train);


    }


    char buff[256];


@@ -150,7 +156,6 @@




    layer l = net.layers[net.n-1];


    int classes = l.classes;


    int square = l.sqrt;


    int side = l.side;




    int j;


@@ -207,10 +212,10 @@


            char *path = paths[i+t-nthreads];


            int image_id = get_coco_image_id(path);


            float *X = val_resized[t].data;


            float *predictions = network_predict(net, X);


            network_predict(net, X);


            int w = val[t].w;


            int h = val[t].h;


            convert_detections(predictions, classes, l.n, square, side, w, h, thresh, probs, boxes, 0);


            get_detection_boxes(l, w, h, thresh, probs, boxes, 0);


            if (nms) do_nms_sort(boxes, probs, side*side*l.n, classes, iou_thresh);


            print_cocos(fp, image_id, boxes, probs, side*side*l.n, classes, w, h);


            free_image(val[t]);


@@ -240,7 +245,6 @@




    layer l = net.layers[net.n-1];


    int classes = l.classes;


    int square = l.sqrt;


    int side = l.side;




    int j, k;


@@ -272,14 +276,15 @@


        image orig = load_image_color(path, 0, 0);


        image sized = resize_image(orig, net.w, net.h);


        char *id = basecfg(path);


        float *predictions = network_predict(net, sized.data);


        convert_detections(predictions, classes, l.n, square, side, 1, 1, thresh, probs, boxes, 1);


        network_predict(net, sized.data);


        get_detection_boxes(l, 1, 1, thresh, probs, boxes, 1);


        if (nms) do_nms(boxes, probs, side*side*l.n, 1, nms_thresh);




        char *labelpath = find_replace(path, "images", "labels");


        labelpath = find_replace(labelpath, "JPEGImages", "labels");


        labelpath = find_replace(labelpath, ".jpg", ".txt");


        labelpath = find_replace(labelpath, ".JPEG", ".txt");


        char labelpath[4096];


        find_replace(path, "images", "labels", labelpath);


        find_replace(labelpath, "JPEGImages", "labels", labelpath);


        find_replace(labelpath, ".jpg", ".txt", labelpath);


        find_replace(labelpath, ".JPEG", ".txt", labelpath);




        int num_labels = 0;


        box_label *truth = read_boxes(labelpath, &num_labels);


@@ -313,7 +318,7 @@




void test_coco(char *cfgfile, char *weightfile, char *filename, float thresh)


{




    image **alphabet = load_alphabet();


    network net = parse_network_cfg(cfgfile);


    if(weightfile){


        load_weights(&net, weightfile);


@@ -343,14 +348,13 @@


        image sized = resize_image(im, net.w, net.h);


        float *X = sized.data;


        time=clock();


        float *predictions = network_predict(net, X);


        network_predict(net, X);


        printf("%s: Predicted in %f seconds.\n", input, sec(clock()-time));


        convert_detections(predictions, l.classes, l.n, l.sqrt, l.side, 1, 1, thresh, probs, boxes, 0);


        get_detection_boxes(l, 1, 1, thresh, probs, boxes, 0);


        if (nms) do_nms_sort(boxes, probs, l.side*l.side*l.n, l.classes, nms);


        draw_detections(im, l.side*l.side*l.n, thresh, boxes, probs, coco_classes, coco_labels, 80);


        draw_detections(im, l.side*l.side*l.n, thresh, boxes, probs, coco_classes, alphabet, 80);


        save_image(im, "prediction");


        show_image(im, "predictions");




        show_image(sized, "resized");


        free_image(im);


        free_image(sized);


#ifdef OPENCV


@@ -363,13 +367,12 @@




void run_coco(int argc, char **argv)


{


    int i;


    for(i = 0; i < 80; ++i){


        char buff[256];


        sprintf(buff, "data/labels/%s.png", coco_classes[i]);


        coco_labels[i] = load_image_color(buff, 0, 0);


    }


   int dont_show = find_arg(argc, argv, "-dont_show");


   int http_stream_port = find_int_arg(argc, argv, "-http_port", -1);


   char *out_filename = find_char_arg(argc, argv, "-out_filename", 0);


    char *prefix = find_char_arg(argc, argv, "-prefix", 0);


    float thresh = find_float_arg(argc, argv, "-thresh", .2);


   float hier_thresh = find_float_arg(argc, argv, "-hier", .5);


    int cam_index = find_int_arg(argc, argv, "-c", 0);


    int frame_skip = find_int_arg(argc, argv, "-s", 0);




@@ -385,5 +388,6 @@


    else if(0==strcmp(argv[2], "train")) train_coco(cfg, weights);


    else if(0==strcmp(argv[2], "valid")) validate_coco(cfg, weights);


    else if(0==strcmp(argv[2], "recall")) validate_coco_recall(cfg, weights);


    else if(0==strcmp(argv[2], "demo")) demo(cfg, weights, thresh, cam_index, filename, coco_classes, coco_labels, 80, frame_skip);


    else if(0==strcmp(argv[2], "demo")) demo(cfg, weights, thresh, hier_thresh, cam_index, filename, coco_classes, 80, frame_skip,


      prefix, out_filename, http_stream_port, dont_show);


}