Merge branch 'master' of github.com:AlexeyAB/darknet

AlexeyAB

2017-12-28 83d9b0b6d81755ce3f7b856b56a485b0abb34f81

 src/demo.c

@@ -1,22 +1,33 @@
#include "network.h"
#include "detection_layer.h"
#include "region_layer.h"
#include "cost_layer.h"
#include "utils.h"
#include "parser.h"
#include "box.h"
#include "image.h"
#include "demo.h"
#ifdef WIN32
#include <time.h>
#include <winsock.h>
#include "gettimeofday.h"
#else
#include <sys/time.h>
#endif

#define FRAMES 3

#ifdef OPENCV
#include "opencv2/highgui/highgui_c.h"
#include "opencv2/imgproc/imgproc_c.h"
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);
#include "opencv2/core/version.hpp"
#ifndef CV_VERSION_EPOCH
#include "opencv2/videoio/videoio_c.h"
#endif
image get_image_from_stream(CvCapture *cap);

static char **demo_names;
static image *demo_labels;
static image **demo_alphabet;
static int demo_classes;

static float **probs;
@@ -34,32 +45,50 @@
static float *predictions[FRAMES];
static int demo_index = 0;
static image images[FRAMES];
static IplImage* ipl_images[FRAMES];
static float *avg;

void draw_detections_cv(IplImage* show_img, int num, float thresh, box *boxes, float **probs, char **names, image **alphabet, int classes);
image get_image_from_stream_resize(CvCapture *cap, int w, int h, IplImage** in_img);
IplImage* in_img;
IplImage* det_img;
IplImage* show_img;

void *fetch_in_thread(void *ptr)
{
    in = get_image_from_stream(cap);
    //in = get_image_from_stream(cap);
   in = get_image_from_stream_resize(cap, net.w, net.h, &in_img);
    if(!in.data){
        error("Stream closed.");
    }
    in_s = resize_image(in, net.w, net.h);
    //in_s = resize_image(in, net.w, net.h);
   in_s = make_image(in.w, in.h, in.c);
   memcpy(in_s.data, in.data, in.h*in.w*in.c*sizeof(float));
	
    return 0;
}

void *detect_in_thread(void *ptr)
{
    float nms = .1;
    float nms = .4;

    detection_layer l = net.layers[net.n-1];
    layer l = net.layers[net.n-1];
    float *X = det_s.data;
    float *prediction = network_predict(net, X);

    memcpy(predictions[demo_index], prediction, l.outputs*sizeof(float));
    mean_arrays(predictions, FRAMES, l.outputs, avg);
    l.output = avg;

    free_image(det_s);
    convert_detections(avg, l.classes, l.n, l.sqrt, l.side, 1, 1, demo_thresh, probs, boxes, 0);
    if (nms > 0) do_nms(boxes, probs, l.side*l.side*l.n, l.classes, nms);
    if(l.type == DETECTION){
        get_detection_boxes(l, 1, 1, demo_thresh, probs, boxes, 0);
    } else if (l.type == REGION){
        get_region_boxes(l, 1, 1, demo_thresh, probs, boxes, 0, 0);
    } else {
        error("Last layer must produce detections\n");
    }
    if (nms > 0) do_nms(boxes, probs, l.w*l.h*l.n, l.classes, nms);
    printf("\033[2J");
    printf("\033[1;1H");
    printf("\nFPS:%.1f\n",fps);
@@ -67,11 +96,14 @@

    images[demo_index] = det;
    det = images[(demo_index + FRAMES/2 + 1)%FRAMES];
   ipl_images[demo_index] = det_img;
   det_img = ipl_images[(demo_index + FRAMES / 2 + 1) % FRAMES];
    demo_index = (demo_index + 1)%FRAMES;
	    
   //draw_detections(det, l.w*l.h*l.n, demo_thresh, boxes, probs, demo_names, demo_alphabet, demo_classes);
   draw_detections_cv(det_img, l.w*l.h*l.n, demo_thresh, boxes, probs, demo_names, demo_alphabet, demo_classes);

    draw_detections(det, l.side*l.side*l.n, demo_thresh, boxes, probs, demo_names, demo_labels, demo_classes);

    return 0;
   return 0;
}

double get_wall_time()
@@ -83,16 +115,17 @@
    return (double)time.tv_sec + (double)time.tv_usec * .000001;
}

void demo(char *cfgfile, char *weightfile, float thresh, int cam_index, const char *filename, char **names, image *labels, int classes, int frame_skip)
void demo(char *cfgfile, char *weightfile, float thresh, int cam_index, const char *filename, char **names, int classes, int frame_skip, char *prefix, char *out_filename)
{
    //skip = frame_skip;
    image **alphabet = load_alphabet();
    int delay = frame_skip;
    demo_names = names;
    demo_labels = labels;
    demo_alphabet = alphabet;
    demo_classes = classes;
    demo_thresh = thresh;
    printf("Demo\n");
    net = parse_network_cfg(cfgfile);
    net = parse_network_cfg_custom(cfgfile, 1);
    if(weightfile){
        load_weights(&net, weightfile);
    }
@@ -101,6 +134,7 @@
    srand(2222222);

    if(filename){
        printf("video file: %s\n", filename);
        cap = cvCaptureFromFile(filename);
    }else{
        cap = cvCaptureFromCAM(cam_index);
@@ -108,27 +142,29 @@

    if(!cap) error("Couldn't connect to webcam.\n");

    detection_layer l = net.layers[net.n-1];
    layer l = net.layers[net.n-1];
    int j;

    avg = (float *) calloc(l.outputs, sizeof(float));
    for(j = 0; j < FRAMES; ++j) predictions[j] = (float *) calloc(l.outputs, sizeof(float));
    for(j = 0; j < FRAMES; ++j) images[j] = make_image(1,1,3);

    boxes = (box *)calloc(l.side*l.side*l.n, sizeof(box));
    probs = (float **)calloc(l.side*l.side*l.n, sizeof(float *));
    for(j = 0; j < l.side*l.side*l.n; ++j) probs[j] = (float *)calloc(l.classes, sizeof(float *));
    boxes = (box *)calloc(l.w*l.h*l.n, sizeof(box));
    probs = (float **)calloc(l.w*l.h*l.n, sizeof(float *));
    for(j = 0; j < l.w*l.h*l.n; ++j) probs[j] = (float *)calloc(l.classes, sizeof(float *));

    pthread_t fetch_thread;
    pthread_t detect_thread;

    fetch_in_thread(0);
   det_img = in_img;
    det = in;
    det_s = in_s;

    fetch_in_thread(0);
    detect_in_thread(0);
    disp = det;
   det_img = in_img;
    det = in;
    det_s = in_s;

@@ -136,14 +172,17 @@
        fetch_in_thread(0);
        detect_in_thread(0);
        disp = det;
      det_img = in_img;
        det = in;
        det_s = in_s;
    }

    int count = 0;
    cvNamedWindow("Demo", CV_WINDOW_NORMAL); 
    cvMoveWindow("Demo", 0, 0);
    cvResizeWindow("Demo", 1352, 1013);
    if(!prefix){
        cvNamedWindow("Demo", CV_WINDOW_NORMAL); 
        cvMoveWindow("Demo", 0, 0);
        cvResizeWindow("Demo", 1352, 1013);
    }

    double before = get_wall_time();

@@ -153,8 +192,9 @@
            if(pthread_create(&fetch_thread, 0, fetch_in_thread, 0)) error("Thread creation failed");
            if(pthread_create(&detect_thread, 0, detect_in_thread, 0)) error("Thread creation failed");

            if(1){
                show_image(disp, "Demo");
            if(!prefix){                
            //show_image(disp, "Demo");
            show_image_cv_ipl(show_img, "Demo", out_filename);
                int c = cvWaitKey(1);
                if (c == 10){
                    if(frame_skip == 0) frame_skip = 60;
@@ -164,7 +204,7 @@
                }
            }else{
                char buff[256];
                sprintf(buff, "/home/pjreddie/tmp/bag_%07d", count);
                sprintf(buff, "%s_%08d", prefix, count);
                save_image(disp, buff);
            }

@@ -174,11 +214,14 @@
            if(delay == 0){
                free_image(disp);
                disp  = det;
            show_img = det_img;
            }
         det_img = in_img;
            det   = in;
            det_s = in_s;
        }else {
            fetch_in_thread(0);
         det_img = in_img;
            det   = in;
            det_s = in_s;
            detect_in_thread(0);
@@ -201,7 +244,7 @@
    }
}
#else
void demo(char *cfgfile, char *weightfile, float thresh, int cam_index, const char *filename, char **names, image *labels, int classes, int frame_skip)
void demo(char *cfgfile, char *weightfile, float thresh, int cam_index, const char *filename, char **names, int classes, int frame_skip, char *prefix, char *out_filename)
{
    fprintf(stderr, "Demo needs OpenCV for webcam images.\n");
}