YOLOv3将产生的检测结果依序保存到指定文本文件

这是对修改YOLOv3源码的又一次尝试，由于附带了相关文件的全文，故显得文章比较长，其实总共仅修改了4处。

针对src文件夹下的image.c和demo.c两个C文件进行如下修改：

1、对image.c的修改

共两处修改，都在draw_detections函数中，详见该函数中的注释：

void draw_detections(image im, detection *dets, int num, float thresh, char **names, image **alphabet, int classes)
{
    int i,j;
    changed by  dingjing，以下
    char filetosave[100] = "/home/dj/PycharmProjects/NewTest/videotxt/1.txt";
    FILE *fp;
    fp = fopen(filetosave, "a+");//追加内容
    if(fp == NULL)
    {
	printf("1.txt cannot open");
	return -1;
    }
 changed by  dingjing，以上

    for(i = 0; i < num; ++i){
        char labelstr[4096] = {0};
        int class = -1;
        for(j = 0; j < classes; ++j){
            if (dets[i].prob[j] > thresh){
                if (class < 0) {
                    strcat(labelstr, names[j]);
                    class = j;
                } else {
                    strcat(labelstr, ", ");
                    strcat(labelstr, names[j]);
                }
                printf("%s: %.0f%%\n", names[j], dets[i].prob[j]*100);
                 changed by  dingjing，以下
                fprintf(fp,"%s %.0f%% ", names[j], dets[i].prob[j]*100);
                 changed by  dingjing，以上
	    }
        }//for(j = 0; j < classes; ++j){
        if(class >= 0){
            int width = im.h * .006;

            /*
               if(0){
               width = pow(prob, 1./2.)*10+1;
               alphabet = 0;
               }
             */

            //printf("%d %s: %.0f%%\n", i, names[class], prob*100);
            int offset = class*123457 % classes;
            float red = get_color(2,offset,classes);
            float green = get_color(1,offset,classes);
            float blue = get_color(0,offset,classes);
            float rgb[3];

            //width = prob*20+2;

            rgb[0] = red;
            rgb[1] = green;
            rgb[2] = blue;
            box b = dets[i].bbox;
            //printf("Box: %f %f %f %f\n", b.x, b.y, b.w, b.h);  
            

            int left  = (b.x-b.w/2.)*im.w;
            int right = (b.x+b.w/2.)*im.w;
            int top   = (b.y-b.h/2.)*im.h;
            int bot   = (b.y+b.h/2.)*im.h;

            if(left < 0) left = 0;
            if(right > im.w-1) right = im.w-1;
            if(top < 0) top = 0;
            if(bot > im.h-1) bot = im.h-1;

 changed by  dingjing，以下
            int centerx = (b.x*im.w);
            int centery = (b.y*im.h);
            printf("Box: %d %d %d %d %d %d\n", centerx,centery,left,top,right,bot);  
	  	    fprintf(fp,"%d %d %d %d %d %d\n",centerx,centery,left,top,right,bot);//标注框框的位置，中心点坐标，左上点，右下点
 changed by  dingjing，以上

 
            draw_box_width(im, left, top, right, bot, width, red, green, blue);

            if (alphabet) {
                image label = get_label(alphabet, labelstr, (im.h*.03));
                draw_label(im, top + width, left, label, rgb);
                free_image(label);
            }
            if (dets[i].mask){
                image mask = float_to_image(14, 14, 1, dets[i].mask);
                image resized_mask = resize_image(mask, b.w*im.w, b.h*im.h);
                image tmask = threshold_image(resized_mask, .5);
                embed_image(tmask, im, left, top);
                free_image(mask);
                free_image(resized_mask);
                free_image(tmask);
            }
        }//if(class >= 0){       
    }//for(i = 0; i < num; ++i){
fclose(fp);
}//void draw_detections(...)

image.c全文如下：

#include "image.h"
#include "utils.h"
#include "blas.h"
#include "cuda.h"
#include 
#include 

#define STB_IMAGE_IMPLEMENTATION
#include "stb_image.h"
#define STB_IMAGE_WRITE_IMPLEMENTATION
#include "stb_image_write.h"


int windows = 0;

float colors[6][3] = { {1,0,1}, {0,0,1},{0,1,1},{0,1,0},{1,1,0},{1,0,0} };

float get_color(int c, int x, int max)
{
    float ratio = ((float)x/max)*5;
    int i = floor(ratio);
    int j = ceil(ratio);
    ratio -= i;
    float r = (1-ratio) * colors[i][c] + ratio*colors[j][c];
    //printf("%f\n", r);
    return r;
}

image mask_to_rgb(image mask)
{
    int n = mask.c;
    image im = make_image(mask.w, mask.h, 3);
    int i, j;
    for(j = 0; j < n; ++j){
        int offset = j*123457 % n;
        float red = get_color(2,offset,n);
        float green = get_color(1,offset,n);
        float blue = get_color(0,offset,n);
        for(i = 0; i < im.w*im.h; ++i){
            im.data[i + 0*im.w*im.h] += mask.data[j*im.h*im.w + i]*red;
            im.data[i + 1*im.w*im.h] += mask.data[j*im.h*im.w + i]*green;
            im.data[i + 2*im.w*im.h] += mask.data[j*im.h*im.w + i]*blue;
        }
    }
    return im;
}

static float get_pixel(image m, int x, int y, int c)
{
    assert(x < m.w && y < m.h && c < m.c);
    return m.data[c*m.h*m.w + y*m.w + x];
}
static float get_pixel_extend(image m, int x, int y, int c)
{
    if(x < 0 || x >= m.w || y < 0 || y >= m.h) return 0;
    /*
    if(x < 0) x = 0;
    if(x >= m.w) x = m.w-1;
    if(y < 0) y = 0;
    if(y >= m.h) y = m.h-1;
    */
    if(c < 0 || c >= m.c) return 0;
    return get_pixel(m, x, y, c);
}
static void set_pixel(image m, int x, int y, int c, float val)
{
    if (x < 0 || y < 0 || c < 0 || x >= m.w || y >= m.h || c >= m.c) return;
    assert(x < m.w && y < m.h && c < m.c);
    m.data[c*m.h*m.w + y*m.w + x] = val;
}
static void add_pixel(image m, int x, int y, int c, float val)
{
    assert(x < m.w && y < m.h && c < m.c);
    m.data[c*m.h*m.w + y*m.w + x] += val;
}

static float bilinear_interpolate(image im, float x, float y, int c)
{
    int ix = (int) floorf(x);
    int iy = (int) floorf(y);

    float dx = x - ix;
    float dy = y - iy;

    float val = (1-dy) * (1-dx) * get_pixel_extend(im, ix, iy, c) + 
        dy     * (1-dx) * get_pixel_extend(im, ix, iy+1, c) + 
        (1-dy) *   dx   * get_pixel_extend(im, ix+1, iy, c) +
        dy     *   dx   * get_pixel_extend(im, ix+1, iy+1, c);
    return val;
}


void composite_image(image source, image dest, int dx, int dy)
{
    int x,y,k;
    for(k = 0; k < source.c; ++k){
        for(y = 0; y < source.h; ++y){
            for(x = 0; x < source.w; ++x){
                float val = get_pixel(source, x, y, k);
                float val2 = get_pixel_extend(dest, dx+x, dy+y, k);
                set_pixel(dest, dx+x, dy+y, k, val * val2);
            }
        }
    }
}

image border_image(image a, int border)
{
    image b = make_image(a.w + 2*border, a.h + 2*border, a.c);
    int x,y,k;
    for(k = 0; k < b.c; ++k){
        for(y = 0; y < b.h; ++y){
            for(x = 0; x < b.w; ++x){
                float val = get_pixel_extend(a, x - border, y - border, k);
                if(x - border < 0 || x - border >= a.w || y - border < 0 || y - border >= a.h) val = 1;
                set_pixel(b, x, y, k, val);
            }
        }
    }
    return b;
}

image tile_images(image a, image b, int dx)
{
    if(a.w == 0) return copy_image(b);
    image c = make_image(a.w + b.w + dx, (a.h > b.h) ? a.h : b.h, (a.c > b.c) ? a.c : b.c);
    fill_cpu(c.w*c.h*c.c, 1, c.data, 1);
    embed_image(a, c, 0, 0); 
    composite_image(b, c, a.w + dx, 0);
    return c;
}

image get_label(image **characters, char *string, int size)
{
    size = size/10;
    if(size > 7) size = 7;
    image label = make_empty_image(0,0,0);
    while(*string){
        image l = characters[size][(int)*string];
        image n = tile_images(label, l, -size - 1 + (size+1)/2);
        free_image(label);
        label = n;
        ++string;
    }
    image b = border_image(label, label.h*.25);
    free_image(label);
    return b;
}

void draw_label(image a, int r, int c, image label, const float *rgb)
{
    int w = label.w;
    int h = label.h;
    if (r - h >= 0) r = r - h;

    int i, j, k;
    for(j = 0; j < h && j + r < a.h; ++j){
        for(i = 0; i < w && i + c < a.w; ++i){
            for(k = 0; k < label.c; ++k){
                float val = get_pixel(label, i, j, k);
                set_pixel(a, i+c, j+r, k, rgb[k] * val);
            }
        }
    }
}

void draw_box(image a, int x1, int y1, int x2, int y2, float r, float g, float b)
{
    //normalize_image(a);
    int i;
    if(x1 < 0) x1 = 0;
    if(x1 >= a.w) x1 = a.w-1;
    if(x2 < 0) x2 = 0;
    if(x2 >= a.w) x2 = a.w-1;

    if(y1 < 0) y1 = 0;
    if(y1 >= a.h) y1 = a.h-1;
    if(y2 < 0) y2 = 0;
    if(y2 >= a.h) y2 = a.h-1;

    for(i = x1; i <= x2; ++i){
        a.data[i + y1*a.w + 0*a.w*a.h] = r;
        a.data[i + y2*a.w + 0*a.w*a.h] = r;

        a.data[i + y1*a.w + 1*a.w*a.h] = g;
        a.data[i + y2*a.w + 1*a.w*a.h] = g;

        a.data[i + y1*a.w + 2*a.w*a.h] = b;
        a.data[i + y2*a.w + 2*a.w*a.h] = b;
    }
    for(i = y1; i <= y2; ++i){
        a.data[x1 + i*a.w + 0*a.w*a.h] = r;
        a.data[x2 + i*a.w + 0*a.w*a.h] = r;

        a.data[x1 + i*a.w + 1*a.w*a.h] = g;
        a.data[x2 + i*a.w + 1*a.w*a.h] = g;

        a.data[x1 + i*a.w + 2*a.w*a.h] = b;
        a.data[x2 + i*a.w + 2*a.w*a.h] = b;
    }
}

void draw_box_width(image a, int x1, int y1, int x2, int y2, int w, float r, float g, float b)
{
    int i;
    for(i = 0; i < w; ++i){
        draw_box(a, x1+i, y1+i, x2-i, y2-i, r, g, b);
    }
}

void draw_bbox(image a, box bbox, int w, float r, float g, float b)
{
    int left  = (bbox.x-bbox.w/2)*a.w;
    int right = (bbox.x+bbox.w/2)*a.w;
    int top   = (bbox.y-bbox.h/2)*a.h;
    int bot   = (bbox.y+bbox.h/2)*a.h;

    int i;
    for(i = 0; i < w; ++i){
        draw_box(a, left+i, top+i, right-i, bot-i, r, g, b);
    }
}

image **load_alphabet()
{
    int i, j;
    const int nsize = 8;
    image **alphabets = calloc(nsize, sizeof(image));
    for(j = 0; j < nsize; ++j){
        alphabets[j] = calloc(128, sizeof(image));
        for(i = 32; i < 127; ++i){
            char buff[256];
            sprintf(buff, "data/labels/%d_%d.png", i, j);
            alphabets[j][i] = load_image_color(buff, 0, 0);
        }
    }
    return alphabets;
}

void draw_detections(image im, detection *dets, int num, float thresh, char **names, image **alphabet, int classes)
{
    int i,j;
    changed by  dingjing，以下
    char filetosave[100] = "/home/dj/PycharmProjects/NewTest/videotxt/1.txt";
    FILE *fp;
    fp = fopen(filetosave, "a+");//追加内容
    if(fp == NULL)
    {
	printf("1.txt cannot open");
	return -1;
    }
 changed by  dingjing，以上

    for(i = 0; i < num; ++i){
        char labelstr[4096] = {0};
        int class = -1;
        for(j = 0; j < classes; ++j){
            if (dets[i].prob[j] > thresh){
                if (class < 0) {
                    strcat(labelstr, names[j]);
                    class = j;
                } else {
                    strcat(labelstr, ", ");
                    strcat(labelstr, names[j]);
                }
                printf("%s: %.0f%%\n", names[j], dets[i].prob[j]*100);
                 changed by  dingjing，以下
                fprintf(fp,"%s %.0f%% ", names[j], dets[i].prob[j]*100);
                 changed by  dingjing，以上
	    }
        }//for(j = 0; j < classes; ++j){
        if(class >= 0){
            int width = im.h * .006;

            /*
               if(0){
               width = pow(prob, 1./2.)*10+1;
               alphabet = 0;
               }
             */

            //printf("%d %s: %.0f%%\n", i, names[class], prob*100);
            int offset = class*123457 % classes;
            float red = get_color(2,offset,classes);
            float green = get_color(1,offset,classes);
            float blue = get_color(0,offset,classes);
            float rgb[3];

            //width = prob*20+2;

            rgb[0] = red;
            rgb[1] = green;
            rgb[2] = blue;
            box b = dets[i].bbox;
            //printf("Box: %f %f %f %f\n", b.x, b.y, b.w, b.h);  
            

            int left  = (b.x-b.w/2.)*im.w;
            int right = (b.x+b.w/2.)*im.w;
            int top   = (b.y-b.h/2.)*im.h;
            int bot   = (b.y+b.h/2.)*im.h;

            if(left < 0) left = 0;
            if(right > im.w-1) right = im.w-1;
            if(top < 0) top = 0;
            if(bot > im.h-1) bot = im.h-1;

 changed by  dingjing，以下
            int centerx = (b.x*im.w);
            int centery = (b.y*im.h);
            printf("Box: %d %d %d %d %d %d\n", centerx,centery,left,top,right,bot);  
	  	    fprintf(fp,"%d %d %d %d %d %d\n",centerx,centery,left,top,right,bot);//标注框框的位置，中心点坐标，左上点，右下点
 changed by  dingjing，以上

 
            draw_box_width(im, left, top, right, bot, width, red, green, blue);

            if (alphabet) {
                image label = get_label(alphabet, labelstr, (im.h*.03));
                draw_label(im, top + width, left, label, rgb);
                free_image(label);
            }
            if (dets[i].mask){
                image mask = float_to_image(14, 14, 1, dets[i].mask);
                image resized_mask = resize_image(mask, b.w*im.w, b.h*im.h);
                image tmask = threshold_image(resized_mask, .5);
                embed_image(tmask, im, left, top);
                free_image(mask);
                free_image(resized_mask);
                free_image(tmask);
            }
        }//if(class >= 0){       
    }//for(i = 0; i < num; ++i){
fclose(fp);
}//void draw_detections(...)

void transpose_image(image im)
{
    assert(im.w == im.h);
    int n, m;
    int c;
    for(c = 0; c < im.c; ++c){
        for(n = 0; n < im.w-1; ++n){
            for(m = n + 1; m < im.w; ++m){
                float swap = im.data[m + im.w*(n + im.h*c)];
                im.data[m + im.w*(n + im.h*c)] = im.data[n + im.w*(m + im.h*c)];
                im.data[n + im.w*(m + im.h*c)] = swap;
            }
        }
    }
}

void rotate_image_cw(image im, int times)
{
    assert(im.w == im.h);
    times = (times + 400) % 4;
    int i, x, y, c;
    int n = im.w;
    for(i = 0; i < times; ++i){
        for(c = 0; c < im.c; ++c){
            for(x = 0; x < n/2; ++x){
                for(y = 0; y < (n-1)/2 + 1; ++y){
                    float temp = im.data[y + im.w*(x + im.h*c)];
                    im.data[y + im.w*(x + im.h*c)] = im.data[n-1-x + im.w*(y + im.h*c)];
                    im.data[n-1-x + im.w*(y + im.h*c)] = im.data[n-1-y + im.w*(n-1-x + im.h*c)];
                    im.data[n-1-y + im.w*(n-1-x + im.h*c)] = im.data[x + im.w*(n-1-y + im.h*c)];
                    im.data[x + im.w*(n-1-y + im.h*c)] = temp;
                }
            }
        }
    }
}

void flip_image(image a)
{
    int i,j,k;
    for(k = 0; k < a.c; ++k){
        for(i = 0; i < a.h; ++i){
            for(j = 0; j < a.w/2; ++j){
                int index = j + a.w*(i + a.h*(k));
                int flip = (a.w - j - 1) + a.w*(i + a.h*(k));
                float swap = a.data[flip];
                a.data[flip] = a.data[index];
                a.data[index] = swap;
            }
        }
    }
}

image image_distance(image a, image b)
{
    int i,j;
    image dist = make_image(a.w, a.h, 1);
    for(i = 0; i < a.c; ++i){
        for(j = 0; j < a.h*a.w; ++j){
            dist.data[j] += pow(a.data[i*a.h*a.w+j]-b.data[i*a.h*a.w+j],2);
        }
    }
    for(j = 0; j < a.h*a.w; ++j){
        dist.data[j] = sqrt(dist.data[j]);
    }
    return dist;
}

void ghost_image(image source, image dest, int dx, int dy)
{
    int x,y,k;
    float max_dist = sqrt((-source.w/2. + .5)*(-source.w/2. + .5));
    for(k = 0; k < source.c; ++k){
        for(y = 0; y < source.h; ++y){
            for(x = 0; x < source.w; ++x){
                float dist = sqrt((x - source.w/2. + .5)*(x - source.w/2. + .5) + (y - source.h/2. + .5)*(y - source.h/2. + .5));
                float alpha = (1 - dist/max_dist);
                if(alpha < 0) alpha = 0;
                float v1 = get_pixel(source, x,y,k);
                float v2 = get_pixel(dest, dx+x,dy+y,k);
                float val = alpha*v1 + (1-alpha)*v2;
                set_pixel(dest, dx+x, dy+y, k, val);
            }
        }
    }
}

void blocky_image(image im, int s)
{
    int i,j,k;
    for(k = 0; k < im.c; ++k){
        for(j = 0; j < im.h; ++j){
            for(i = 0; i < im.w; ++i){
                im.data[i + im.w*(j + im.h*k)] = im.data[i/s*s + im.w*(j/s*s + im.h*k)];
            }
        }
    }
}

void censor_image(image im, int dx, int dy, int w, int h)
{
    int i,j,k;
    int s = 32;
    if(dx < 0) dx = 0;
    if(dy < 0) dy = 0;

    for(k = 0; k < im.c; ++k){
        for(j = dy; j < dy + h && j < im.h; ++j){
            for(i = dx; i < dx + w && i < im.w; ++i){
                im.data[i + im.w*(j + im.h*k)] = im.data[i/s*s + im.w*(j/s*s + im.h*k)];
                //im.data[i + j*im.w + k*im.w*im.h] = 0;
            }
        }
    }
}

void embed_image(image source, image dest, int dx, int dy)
{
    int x,y,k;
    for(k = 0; k < source.c; ++k){
        for(y = 0; y < source.h; ++y){
            for(x = 0; x < source.w; ++x){
                float val = get_pixel(source, x,y,k);
                set_pixel(dest, dx+x, dy+y, k, val);
            }
        }
    }
}

image collapse_image_layers(image source, int border)
{
    int h = source.h;
    h = (h+border)*source.c - border;
    image dest = make_image(source.w, h, 1);
    int i;
    for(i = 0; i < source.c; ++i){
        image layer = get_image_layer(source, i);
        int h_offset = i*(source.h+border);
        embed_image(layer, dest, 0, h_offset);
        free_image(layer);
    }
    return dest;
}

void constrain_image(image im)
{
    int i;
    for(i = 0; i < im.w*im.h*im.c; ++i){
        if(im.data[i] < 0) im.data[i] = 0;
        if(im.data[i] > 1) im.data[i] = 1;
    }
}

void normalize_image(image p)
{
    int i;
    float min = 9999999;
    float max = -999999;

    for(i = 0; i < p.h*p.w*p.c; ++i){
        float v = p.data[i];
        if(v < min) min = v;
        if(v > max) max = v;
    }
    if(max - min < .000000001){
        min = 0;
        max = 1;
    }
    for(i = 0; i < p.c*p.w*p.h; ++i){
        p.data[i] = (p.data[i] - min)/(max-min);
    }
}

void normalize_image2(image p)
{
    float *min = calloc(p.c, sizeof(float));
    float *max = calloc(p.c, sizeof(float));
    int i,j;
    for(i = 0; i < p.c; ++i) min[i] = max[i] = p.data[i*p.h*p.w];

    for(j = 0; j < p.c; ++j){
        for(i = 0; i < p.h*p.w; ++i){
            float v = p.data[i+j*p.h*p.w];
            if(v < min[j]) min[j] = v;
            if(v > max[j]) max[j] = v;
        }
    }
    for(i = 0; i < p.c; ++i){
        if(max[i] - min[i] < .000000001){
            min[i] = 0;
            max[i] = 1;
        }
    }
    for(j = 0; j < p.c; ++j){
        for(i = 0; i < p.w*p.h; ++i){
            p.data[i+j*p.h*p.w] = (p.data[i+j*p.h*p.w] - min[j])/(max[j]-min[j]);
        }
    }
    free(min);
    free(max);
}

void copy_image_into(image src, image dest)
{
    memcpy(dest.data, src.data, src.h*src.w*src.c*sizeof(float));
}

image copy_image(image p)
{
    image copy = p;
    copy.data = calloc(p.h*p.w*p.c, sizeof(float));
    memcpy(copy.data, p.data, p.h*p.w*p.c*sizeof(float));
    return copy;
}

void rgbgr_image(image im)
{
    int i;
    for(i = 0; i < im.w*im.h; ++i){
        float swap = im.data[i];
        im.data[i] = im.data[i+im.w*im.h*2];
        im.data[i+im.w*im.h*2] = swap;
    }
}

int show_image(image p, const char *name, int ms)
{
#ifdef OPENCV
    int c = show_image_cv(p, name, ms);
    return c;
#else
    fprintf(stderr, "Not compiled with OpenCV, saving to %s.png instead\n", name);
    save_image(p, name);
    return -1;
#endif
}

void save_image_options(image im, const char *name, IMTYPE f, int quality)
{
    char buff[256];
    //sprintf(buff, "%s (%d)", name, windows);
    if(f == PNG)       sprintf(buff, "%s.png", name);
    else if (f == BMP) sprintf(buff, "%s.bmp", name);
    else if (f == TGA) sprintf(buff, "%s.tga", name);
    else if (f == JPG) sprintf(buff, "%s.jpg", name);
    else               sprintf(buff, "%s.png", name);
    unsigned char *data = calloc(im.w*im.h*im.c, sizeof(char));
    int i,k;
    for(k = 0; k < im.c; ++k){
        for(i = 0; i < im.w*im.h; ++i){
            data[i*im.c+k] = (unsigned char) (255*im.data[i + k*im.w*im.h]);
        }
    }
    int success = 0;
    if(f == PNG)       success = stbi_write_png(buff, im.w, im.h, im.c, data, im.w*im.c);
    else if (f == BMP) success = stbi_write_bmp(buff, im.w, im.h, im.c, data);
    else if (f == TGA) success = stbi_write_tga(buff, im.w, im.h, im.c, data);
    else if (f == JPG) success = stbi_write_jpg(buff, im.w, im.h, im.c, data, quality);
    free(data);
    if(!success) fprintf(stderr, "Failed to write image %s\n", buff);
}

void save_image(image im, const char *name)
{
    save_image_options(im, name, JPG, 80);
}

void show_image_layers(image p, char *name)
{
    int i;
    char buff[256];
    for(i = 0; i < p.c; ++i){
        sprintf(buff, "%s - Layer %d", name, i);
        image layer = get_image_layer(p, i);
        show_image(layer, buff, 1);
        free_image(layer);
    }
}

void show_image_collapsed(image p, char *name)
{
    image c = collapse_image_layers(p, 1);
    show_image(c, name, 1);
    free_image(c);
}

image make_empty_image(int w, int h, int c)
{
    image out;
    out.data = 0;
    out.h = h;
    out.w = w;
    out.c = c;
    return out;
}

image make_image(int w, int h, int c)
{
    image out = make_empty_image(w,h,c);
    out.data = calloc(h*w*c, sizeof(float));
    return out;
}

image make_random_image(int w, int h, int c)
{
    image out = make_empty_image(w,h,c);
    out.data = calloc(h*w*c, sizeof(float));
    int i;
    for(i = 0; i < w*h*c; ++i){
        out.data[i] = (rand_normal() * .25) + .5;
    }
    return out;
}

image float_to_image(int w, int h, int c, float *data)
{
    image out = make_empty_image(w,h,c);
    out.data = data;
    return out;
}

void place_image(image im, int w, int h, int dx, int dy, image canvas)
{
    int x, y, c;
    for(c = 0; c < im.c; ++c){
        for(y = 0; y < h; ++y){
            for(x = 0; x < w; ++x){
                float rx = ((float)x / w) * im.w;
                float ry = ((float)y / h) * im.h;
                float val = bilinear_interpolate(im, rx, ry, c);
                set_pixel(canvas, x + dx, y + dy, c, val);
            }
        }
    }
}

image center_crop_image(image im, int w, int h)
{
    int m = (im.w < im.h) ? im.w : im.h;   
    image c = crop_image(im, (im.w - m) / 2, (im.h - m)/2, m, m);
    image r = resize_image(c, w, h);
    free_image(c);
    return r;
}

image rotate_crop_image(image im, float rad, float s, int w, int h, float dx, float dy, float aspect)
{
    int x, y, c;
    float cx = im.w/2.;
    float cy = im.h/2.;
    image rot = make_image(w, h, im.c);
    for(c = 0; c < im.c; ++c){
        for(y = 0; y < h; ++y){
            for(x = 0; x < w; ++x){
                float rx = cos(rad)*((x - w/2.)/s*aspect + dx/s*aspect) - sin(rad)*((y - h/2.)/s + dy/s) + cx;
                float ry = sin(rad)*((x - w/2.)/s*aspect + dx/s*aspect) + cos(rad)*((y - h/2.)/s + dy/s) + cy;
                float val = bilinear_interpolate(im, rx, ry, c);
                set_pixel(rot, x, y, c, val);
            }
        }
    }
    return rot;
}

image rotate_image(image im, float rad)
{
    int x, y, c;
    float cx = im.w/2.;
    float cy = im.h/2.;
    image rot = make_image(im.w, im.h, im.c);
    for(c = 0; c < im.c; ++c){
        for(y = 0; y < im.h; ++y){
            for(x = 0; x < im.w; ++x){
                float rx = cos(rad)*(x-cx) - sin(rad)*(y-cy) + cx;
                float ry = sin(rad)*(x-cx) + cos(rad)*(y-cy) + cy;
                float val = bilinear_interpolate(im, rx, ry, c);
                set_pixel(rot, x, y, c, val);
            }
        }
    }
    return rot;
}

void fill_image(image m, float s)
{
    int i;
    for(i = 0; i < m.h*m.w*m.c; ++i) m.data[i] = s;
}

void translate_image(image m, float s)
{
    int i;
    for(i = 0; i < m.h*m.w*m.c; ++i) m.data[i] += s;
}

void scale_image(image m, float s)
{
    int i;
    for(i = 0; i < m.h*m.w*m.c; ++i) m.data[i] *= s;
}

image crop_image(image im, int dx, int dy, int w, int h)
{
    image cropped = make_image(w, h, im.c);
    int i, j, k;
    for(k = 0; k < im.c; ++k){
        for(j = 0; j < h; ++j){
            for(i = 0; i < w; ++i){
                int r = j + dy;
                int c = i + dx;
                float val = 0;
                r = constrain_int(r, 0, im.h-1);
                c = constrain_int(c, 0, im.w-1);
                val = get_pixel(im, c, r, k);
                set_pixel(cropped, i, j, k, val);
            }
        }
    }
    return cropped;
}

int best_3d_shift_r(image a, image b, int min, int max)
{
    if(min == max) return min;
    int mid = floor((min + max) / 2.);
    image c1 = crop_image(b, 0, mid, b.w, b.h);
    image c2 = crop_image(b, 0, mid+1, b.w, b.h);
    float d1 = dist_array(c1.data, a.data, a.w*a.h*a.c, 10);
    float d2 = dist_array(c2.data, a.data, a.w*a.h*a.c, 10);
    free_image(c1);
    free_image(c2);
    if(d1 < d2) return best_3d_shift_r(a, b, min, mid);
    else return best_3d_shift_r(a, b, mid+1, max);
}

int best_3d_shift(image a, image b, int min, int max)
{
    int i;
    int best = 0;
    float best_distance = FLT_MAX;
    for(i = min; i <= max; i += 2){
        image c = crop_image(b, 0, i, b.w, b.h);
        float d = dist_array(c.data, a.data, a.w*a.h*a.c, 100);
        if(d < best_distance){
            best_distance = d;
            best = i;
        }
        printf("%d %f\n", i, d);
        free_image(c);
    }
    return best;
}

void composite_3d(char *f1, char *f2, char *out, int delta)
{
    if(!out) out = "out";
    image a = load_image(f1, 0,0,0);
    image b = load_image(f2, 0,0,0);
    int shift = best_3d_shift_r(a, b, -a.h/100, a.h/100);

    image c1 = crop_image(b, 10, shift, b.w, b.h);
    float d1 = dist_array(c1.data, a.data, a.w*a.h*a.c, 100);
    image c2 = crop_image(b, -10, shift, b.w, b.h);
    float d2 = dist_array(c2.data, a.data, a.w*a.h*a.c, 100);

    if(d2 < d1 && 0){
        image swap = a;
        a = b;
        b = swap;
        shift = -shift;
        printf("swapped, %d\n", shift);
    }
    else{
        printf("%d\n", shift);
    }

    image c = crop_image(b, delta, shift, a.w, a.h);
    int i;
    for(i = 0; i < c.w*c.h; ++i){
        c.data[i] = a.data[i];
    }
    save_image(c, out);
}

void letterbox_image_into(image im, int w, int h, image boxed)
{
    int new_w = im.w;
    int new_h = im.h;
    if (((float)w/im.w) < ((float)h/im.h)) {
        new_w = w;
        new_h = (im.h * w)/im.w;
    } else {
        new_h = h;
        new_w = (im.w * h)/im.h;
    }
    image resized = resize_image(im, new_w, new_h);
    embed_image(resized, boxed, (w-new_w)/2, (h-new_h)/2); 
    free_image(resized);
}

image letterbox_image(image im, int w, int h)
{
    int new_w = im.w;
    int new_h = im.h;
    if (((float)w/im.w) < ((float)h/im.h)) {
        new_w = w;
        new_h = (im.h * w)/im.w;
    } else {
        new_h = h;
        new_w = (im.w * h)/im.h;
    }
    image resized = resize_image(im, new_w, new_h);
    image boxed = make_image(w, h, im.c);
    fill_image(boxed, .5);
    //int i;
    //for(i = 0; i < boxed.w*boxed.h*boxed.c; ++i) boxed.data[i] = 0;
    embed_image(resized, boxed, (w-new_w)/2, (h-new_h)/2); 
    free_image(resized);
    return boxed;
}

image resize_max(image im, int max)
{
    int w = im.w;
    int h = im.h;
    if(w > h){
        h = (h * max) / w;
        w = max;
    } else {
        w = (w * max) / h;
        h = max;
    }
    if(w == im.w && h == im.h) return im;
    image resized = resize_image(im, w, h);
    return resized;
}

image resize_min(image im, int min)
{
    int w = im.w;
    int h = im.h;
    if(w < h){
        h = (h * min) / w;
        w = min;
    } else {
        w = (w * min) / h;
        h = min;
    }
    if(w == im.w && h == im.h) return im;
    image resized = resize_image(im, w, h);
    return resized;
}

image random_crop_image(image im, int w, int h)
{
    int dx = rand_int(0, im.w - w);
    int dy = rand_int(0, im.h - h);
    image crop = crop_image(im, dx, dy, w, h);
    return crop;
}

augment_args random_augment_args(image im, float angle, float aspect, int low, int high, int w, int h)
{
    augment_args a = {0};
    aspect = rand_scale(aspect);
    int r = rand_int(low, high);
    int min = (im.h < im.w*aspect) ? im.h : im.w*aspect;
    float scale = (float)r / min;

    float rad = rand_uniform(-angle, angle) * TWO_PI / 360.;

    float dx = (im.w*scale/aspect - w) / 2.;
    float dy = (im.h*scale - w) / 2.;
    //if(dx < 0) dx = 0;
    //if(dy < 0) dy = 0;
    dx = rand_uniform(-dx, dx);
    dy = rand_uniform(-dy, dy);

    a.rad = rad;
    a.scale = scale;
    a.w = w;
    a.h = h;
    a.dx = dx;
    a.dy = dy;
    a.aspect = aspect;
    return a;
}

image random_augment_image(image im, float angle, float aspect, int low, int high, int w, int h)
{
    augment_args a = random_augment_args(im, angle, aspect, low, high, w, h);
    image crop = rotate_crop_image(im, a.rad, a.scale, a.w, a.h, a.dx, a.dy, a.aspect);
    return crop;
}

float three_way_max(float a, float b, float c)
{
    return (a > b) ? ( (a > c) ? a : c) : ( (b > c) ? b : c) ;
}

float three_way_min(float a, float b, float c)
{
    return (a < b) ? ( (a < c) ? a : c) : ( (b < c) ? b : c) ;
}

void yuv_to_rgb(image im)
{
    assert(im.c == 3);
    int i, j;
    float r, g, b;
    float y, u, v;
    for(j = 0; j < im.h; ++j){
        for(i = 0; i < im.w; ++i){
            y = get_pixel(im, i , j, 0);
            u = get_pixel(im, i , j, 1);
            v = get_pixel(im, i , j, 2);

            r = y + 1.13983*v;
            g = y + -.39465*u + -.58060*v;
            b = y + 2.03211*u;

            set_pixel(im, i, j, 0, r);
            set_pixel(im, i, j, 1, g);
            set_pixel(im, i, j, 2, b);
        }
    }
}

void rgb_to_yuv(image im)
{
    assert(im.c == 3);
    int i, j;
    float r, g, b;
    float y, u, v;
    for(j = 0; j < im.h; ++j){
        for(i = 0; i < im.w; ++i){
            r = get_pixel(im, i , j, 0);
            g = get_pixel(im, i , j, 1);
            b = get_pixel(im, i , j, 2);

            y = .299*r + .587*g + .114*b;
            u = -.14713*r + -.28886*g + .436*b;
            v = .615*r + -.51499*g + -.10001*b;

            set_pixel(im, i, j, 0, y);
            set_pixel(im, i, j, 1, u);
            set_pixel(im, i, j, 2, v);
        }
    }
}

// http://www.cs.rit.edu/~ncs/color/t_convert.html
void rgb_to_hsv(image im)
{
    assert(im.c == 3);
    int i, j;
    float r, g, b;
    float h, s, v;
    for(j = 0; j < im.h; ++j){
        for(i = 0; i < im.w; ++i){
            r = get_pixel(im, i , j, 0);
            g = get_pixel(im, i , j, 1);
            b = get_pixel(im, i , j, 2);
            float max = three_way_max(r,g,b);
            float min = three_way_min(r,g,b);
            float delta = max - min;
            v = max;
            if(max == 0){
                s = 0;
                h = 0;
            }else{
                s = delta/max;
                if(r == max){
                    h = (g - b) / delta;
                } else if (g == max) {
                    h = 2 + (b - r) / delta;
                } else {
                    h = 4 + (r - g) / delta;
                }
                if (h < 0) h += 6;
                h = h/6.;
            }
            set_pixel(im, i, j, 0, h);
            set_pixel(im, i, j, 1, s);
            set_pixel(im, i, j, 2, v);
        }
    }
}

void hsv_to_rgb(image im)
{
    assert(im.c == 3);
    int i, j;
    float r, g, b;
    float h, s, v;
    float f, p, q, t;
    for(j = 0; j < im.h; ++j){
        for(i = 0; i < im.w; ++i){
            h = 6 * get_pixel(im, i , j, 0);
            s = get_pixel(im, i , j, 1);
            v = get_pixel(im, i , j, 2);
            if (s == 0) {
                r = g = b = v;
            } else {
                int index = floor(h);
                f = h - index;
                p = v*(1-s);
                q = v*(1-s*f);
                t = v*(1-s*(1-f));
                if(index == 0){
                    r = v; g = t; b = p;
                } else if(index == 1){
                    r = q; g = v; b = p;
                } else if(index == 2){
                    r = p; g = v; b = t;
                } else if(index == 3){
                    r = p; g = q; b = v;
                } else if(index == 4){
                    r = t; g = p; b = v;
                } else {
                    r = v; g = p; b = q;
                }
            }
            set_pixel(im, i, j, 0, r);
            set_pixel(im, i, j, 1, g);
            set_pixel(im, i, j, 2, b);
        }
    }
}

void grayscale_image_3c(image im)
{
    assert(im.c == 3);
    int i, j, k;
    float scale[] = {0.299, 0.587, 0.114};
    for(j = 0; j < im.h; ++j){
        for(i = 0; i < im.w; ++i){
            float val = 0;
            for(k = 0; k < 3; ++k){
                val += scale[k]*get_pixel(im, i, j, k);
            }
            im.data[0*im.h*im.w + im.w*j + i] = val;
            im.data[1*im.h*im.w + im.w*j + i] = val;
            im.data[2*im.h*im.w + im.w*j + i] = val;
        }
    }
}

image grayscale_image(image im)
{
    assert(im.c == 3);
    int i, j, k;
    image gray = make_image(im.w, im.h, 1);
    float scale[] = {0.299, 0.587, 0.114};
    for(k = 0; k < im.c; ++k){
        for(j = 0; j < im.h; ++j){
            for(i = 0; i < im.w; ++i){
                gray.data[i+im.w*j] += scale[k]*get_pixel(im, i, j, k);
            }
        }
    }
    return gray;
}

image threshold_image(image im, float thresh)
{
    int i;
    image t = make_image(im.w, im.h, im.c);
    for(i = 0; i < im.w*im.h*im.c; ++i){
        t.data[i] = im.data[i]>thresh ? 1 : 0;
    }
    return t;
}

image blend_image(image fore, image back, float alpha)
{
    assert(fore.w == back.w && fore.h == back.h && fore.c == back.c);
    image blend = make_image(fore.w, fore.h, fore.c);
    int i, j, k;
    for(k = 0; k < fore.c; ++k){
        for(j = 0; j < fore.h; ++j){
            for(i = 0; i < fore.w; ++i){
                float val = alpha * get_pixel(fore, i, j, k) + 
                    (1 - alpha)* get_pixel(back, i, j, k);
                set_pixel(blend, i, j, k, val);
            }
        }
    }
    return blend;
}

void scale_image_channel(image im, int c, float v)
{
    int i, j;
    for(j = 0; j < im.h; ++j){
        for(i = 0; i < im.w; ++i){
            float pix = get_pixel(im, i, j, c);
            pix = pix*v;
            set_pixel(im, i, j, c, pix);
        }
    }
}

void translate_image_channel(image im, int c, float v)
{
    int i, j;
    for(j = 0; j < im.h; ++j){
        for(i = 0; i < im.w; ++i){
            float pix = get_pixel(im, i, j, c);
            pix = pix+v;
            set_pixel(im, i, j, c, pix);
        }
    }
}

image binarize_image(image im)
{
    image c = copy_image(im);
    int i;
    for(i = 0; i < im.w * im.h * im.c; ++i){
        if(c.data[i] > .5) c.data[i] = 1;
        else c.data[i] = 0;
    }
    return c;
}

void saturate_image(image im, float sat)
{
    rgb_to_hsv(im);
    scale_image_channel(im, 1, sat);
    hsv_to_rgb(im);
    constrain_image(im);
}

void hue_image(image im, float hue)
{
    rgb_to_hsv(im);
    int i;
    for(i = 0; i < im.w*im.h; ++i){
        im.data[i] = im.data[i] + hue;
        if (im.data[i] > 1) im.data[i] -= 1;
        if (im.data[i] < 0) im.data[i] += 1;
    }
    hsv_to_rgb(im);
    constrain_image(im);
}

void exposure_image(image im, float sat)
{
    rgb_to_hsv(im);
    scale_image_channel(im, 2, sat);
    hsv_to_rgb(im);
    constrain_image(im);
}

void distort_image(image im, float hue, float sat, float val)
{
    rgb_to_hsv(im);
    scale_image_channel(im, 1, sat);
    scale_image_channel(im, 2, val);
    int i;
    for(i = 0; i < im.w*im.h; ++i){
        im.data[i] = im.data[i] + hue;
        if (im.data[i] > 1) im.data[i] -= 1;
        if (im.data[i] < 0) im.data[i] += 1;
    }
    hsv_to_rgb(im);
    constrain_image(im);
}

void random_distort_image(image im, float hue, float saturation, float exposure)
{
    float dhue = rand_uniform(-hue, hue);
    float dsat = rand_scale(saturation);
    float dexp = rand_scale(exposure);
    distort_image(im, dhue, dsat, dexp);
}

void saturate_exposure_image(image im, float sat, float exposure)
{
    rgb_to_hsv(im);
    scale_image_channel(im, 1, sat);
    scale_image_channel(im, 2, exposure);
    hsv_to_rgb(im);
    constrain_image(im);
}

image resize_image(image im, int w, int h)
{
    image resized = make_image(w, h, im.c);   
    image part = make_image(w, im.h, im.c);
    int r, c, k;
    float w_scale = (float)(im.w - 1) / (w - 1);
    float h_scale = (float)(im.h - 1) / (h - 1);
    for(k = 0; k < im.c; ++k){
        for(r = 0; r < im.h; ++r){
            for(c = 0; c < w; ++c){
                float val = 0;
                if(c == w-1 || im.w == 1){
                    val = get_pixel(im, im.w-1, r, k);
                } else {
                    float sx = c*w_scale;
                    int ix = (int) sx;
                    float dx = sx - ix;
                    val = (1 - dx) * get_pixel(im, ix, r, k) + dx * get_pixel(im, ix+1, r, k);
                }
                set_pixel(part, c, r, k, val);
            }
        }
    }
    for(k = 0; k < im.c; ++k){
        for(r = 0; r < h; ++r){
            float sy = r*h_scale;
            int iy = (int) sy;
            float dy = sy - iy;
            for(c = 0; c < w; ++c){
                float val = (1-dy) * get_pixel(part, c, iy, k);
                set_pixel(resized, c, r, k, val);
            }
            if(r == h-1 || im.h == 1) continue;
            for(c = 0; c < w; ++c){
                float val = dy * get_pixel(part, c, iy+1, k);
                add_pixel(resized, c, r, k, val);
            }
        }
    }

    free_image(part);
    return resized;
}


void test_resize(char *filename)
{
    image im = load_image(filename, 0,0, 3);
    float mag = mag_array(im.data, im.w*im.h*im.c);
    printf("L2 Norm: %f\n", mag);
    image gray = grayscale_image(im);

    image c1 = copy_image(im);
    image c2 = copy_image(im);
    image c3 = copy_image(im);
    image c4 = copy_image(im);
    distort_image(c1, .1, 1.5, 1.5);
    distort_image(c2, -.1, .66666, .66666);
    distort_image(c3, .1, 1.5, .66666);
    distort_image(c4, .1, .66666, 1.5);


    show_image(im,   "Original", 1);
    show_image(gray, "Gray", 1);
    show_image(c1, "C1", 1);
    show_image(c2, "C2", 1);
    show_image(c3, "C3", 1);
    show_image(c4, "C4", 1);
#ifdef OPENCV
    while(1){
        image aug = random_augment_image(im, 0, .75, 320, 448, 320, 320);
        show_image(aug, "aug", 1);
        free_image(aug);


        float exposure = 1.15;
        float saturation = 1.15;
        float hue = .05;

        image c = copy_image(im);

        float dexp = rand_scale(exposure);
        float dsat = rand_scale(saturation);
        float dhue = rand_uniform(-hue, hue);

        distort_image(c, dhue, dsat, dexp);
        show_image(c, "rand", 1);
        printf("%f %f %f\n", dhue, dsat, dexp);
        free_image(c);
    }
#endif
}


image load_image_stb(char *filename, int channels)
{
    int w, h, c;
    unsigned char *data = stbi_load(filename, &w, &h, &c, channels);
    if (!data) {
        fprintf(stderr, "Cannot load image \"%s\"\nSTB Reason: %s\n", filename, stbi_failure_reason());
        exit(0);
    }
    if(channels) c = channels;
    int i,j,k;
    image im = make_image(w, h, c);
    for(k = 0; k < c; ++k){
        for(j = 0; j < h; ++j){
            for(i = 0; i < w; ++i){
                int dst_index = i + w*j + w*h*k;
                int src_index = k + c*i + c*w*j;
                im.data[dst_index] = (float)data[src_index]/255.;
            }
        }
    }
    free(data);
    return im;
}

image load_image(char *filename, int w, int h, int c)
{
#ifdef OPENCV
    image out = load_image_cv(filename, c);
#else
    image out = load_image_stb(filename, c);
#endif

    if((h && w) && (h != out.h || w != out.w)){
        image resized = resize_image(out, w, h);
        free_image(out);
        out = resized;
    }
    return out;
}

image load_image_color(char *filename, int w, int h)
{
    return load_image(filename, w, h, 3);
}

image get_image_layer(image m, int l)
{
    image out = make_image(m.w, m.h, 1);
    int i;
    for(i = 0; i < m.h*m.w; ++i){
        out.data[i] = m.data[i+l*m.h*m.w];
    }
    return out;
}
void print_image(image m)
{
    int i, j, k;
    for(i =0 ; i < m.c; ++i){
        for(j =0 ; j < m.h; ++j){
            for(k = 0; k < m.w; ++k){
                printf("%.2lf, ", m.data[i*m.h*m.w + j*m.w + k]);
                if(k > 30) break;
            }
            printf("\n");
            if(j > 30) break;
        }
        printf("\n");
    }
    printf("\n");
}

image collapse_images_vert(image *ims, int n)
{
    int color = 1;
    int border = 1;
    int h,w,c;
    w = ims[0].w;
    h = (ims[0].h + border) * n - border;
    c = ims[0].c;
    if(c != 3 || !color){
        w = (w+border)*c - border;
        c = 1;
    }

    image filters = make_image(w, h, c);
    int i,j;
    for(i = 0; i < n; ++i){
        int h_offset = i*(ims[0].h+border);
        image copy = copy_image(ims[i]);
        //normalize_image(copy);
        if(c == 3 && color){
            embed_image(copy, filters, 0, h_offset);
        }
        else{
            for(j = 0; j < copy.c; ++j){
                int w_offset = j*(ims[0].w+border);
                image layer = get_image_layer(copy, j);
                embed_image(layer, filters, w_offset, h_offset);
                free_image(layer);
            }
        }
        free_image(copy);
    }
    return filters;
} 

image collapse_images_horz(image *ims, int n)
{
    int color = 1;
    int border = 1;
    int h,w,c;
    int size = ims[0].h;
    h = size;
    w = (ims[0].w + border) * n - border;
    c = ims[0].c;
    if(c != 3 || !color){
        h = (h+border)*c - border;
        c = 1;
    }

    image filters = make_image(w, h, c);
    int i,j;
    for(i = 0; i < n; ++i){
        int w_offset = i*(size+border);
        image copy = copy_image(ims[i]);
        //normalize_image(copy);
        if(c == 3 && color){
            embed_image(copy, filters, w_offset, 0);
        }
        else{
            for(j = 0; j < copy.c; ++j){
                int h_offset = j*(size+border);
                image layer = get_image_layer(copy, j);
                embed_image(layer, filters, w_offset, h_offset);
                free_image(layer);
            }
        }
        free_image(copy);
    }
    return filters;
} 

void show_image_normalized(image im, const char *name)
{
    image c = copy_image(im);
    normalize_image(c);
    show_image(c, name, 1);
    free_image(c);
}

void show_images(image *ims, int n, char *window)
{
    image m = collapse_images_vert(ims, n);
    /*
       int w = 448;
       int h = ((float)m.h/m.w) * 448;
       if(h > 896){
       h = 896;
       w = ((float)m.w/m.h) * 896;
       }
       image sized = resize_image(m, w, h);
     */
    normalize_image(m);
    save_image(m, window);
    show_image(m, window, 1);
    free_image(m);
}

void free_image(image m)
{
    if(m.data){
        free(m.data);
    }
}

2、对demo.c的修改

共两处修改：
（1）定义全局变量framenum
（2）在void *detect_in_thread(void *ptr)函数中添加写入文件的命令，详见文中注释。

demo.c全文如下：

#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"
#include 

#define DEMO 1

#ifdef OPENCV



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

static network *net;
static image buff [3];
static image buff_letter[3];
static int buff_index = 0;
static void * cap;
static float fps = 0;
static float demo_thresh = 0;
static float demo_hier = .5;
static int running = 0;

static int demo_frame = 3;
static int demo_index = 0;
static float **predictions;
static float *avg;
static int demo_done = 0;
static int demo_total = 0;
double demo_time;
/changed by dingjing，以下
int framenum = 0;
/changed by dingjing，以上

detection *get_network_boxes(network *net, int w, int h, float thresh, float hier, int *map, int relative, int *num);

int size_network(network *net)
{
    int i;
    int count = 0;
    for(i = 0; i < net->n; ++i){
        layer l = net->layers[i];
        if(l.type == YOLO || l.type == REGION || l.type == DETECTION){
            count += l.outputs;
        }
    }
    return count;
}

void remember_network(network *net)
{
    int i;
    int count = 0;
    for(i = 0; i < net->n; ++i){
        layer l = net->layers[i];
        if(l.type == YOLO || l.type == REGION || l.type == DETECTION){
            memcpy(predictions[demo_index] + count, net->layers[i].output, sizeof(float) * l.outputs);
            count += l.outputs;
        }
    }
}

detection *avg_predictions(network *net, int *nboxes)
{
    int i, j;
    int count = 0;
    fill_cpu(demo_total, 0, avg, 1);
    for(j = 0; j < demo_frame; ++j){
        axpy_cpu(demo_total, 1./demo_frame, predictions[j], 1, avg, 1);
    }
    for(i = 0; i < net->n; ++i){
        layer l = net->layers[i];
        if(l.type == YOLO || l.type == REGION || l.type == DETECTION){
            memcpy(l.output, avg + count, sizeof(float) * l.outputs);
            count += l.outputs;
        }
    }
    detection *dets = get_network_boxes(net, buff[0].w, buff[0].h, demo_thresh, demo_hier, 0, 1, nboxes);
    return dets;
}

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

    layer l = net->layers[net->n-1];
    float *X = buff_letter[(buff_index+2)%3].data;
    network_predict(net, X);

    /*
       if(l.type == DETECTION){
       get_detection_boxes(l, 1, 1, demo_thresh, probs, boxes, 0);
       } else */
    remember_network(net);
    detection *dets = 0;
    int nboxes = 0;
    dets = avg_predictions(net, &nboxes);


    /*
       int i,j;
       box zero = {0};
       int classes = l.classes;
       for(i = 0; i < demo_detections; ++i){
       avg[i].objectness = 0;
       avg[i].bbox = zero;
       memset(avg[i].prob, 0, classes*sizeof(float));
       for(j = 0; j < demo_frame; ++j){
       axpy_cpu(classes, 1./demo_frame, dets[j][i].prob, 1, avg[i].prob, 1);
       avg[i].objectness += dets[j][i].objectness * 1./demo_frame;
       avg[i].bbox.x += dets[j][i].bbox.x * 1./demo_frame;
       avg[i].bbox.y += dets[j][i].bbox.y * 1./demo_frame;
       avg[i].bbox.w += dets[j][i].bbox.w * 1./demo_frame;
       avg[i].bbox.h += dets[j][i].bbox.h * 1./demo_frame;
       }
    //copy_cpu(classes, dets[0][i].prob, 1, avg[i].prob, 1);
    //avg[i].objectness = dets[0][i].objectness;
    }
     */
    if (nms > 0) do_nms_obj(dets, nboxes, l.classes, nms);

    printf("\033[2J");
    printf("\033[1;1H");
    printf("\n\nFPS:%.1f\n",fps);
    printf("Objects:\n");
/changed by dingjing，以下
    char filetosave[100] = "/home/dj/PycharmProjects/NewTest/videotxt/1.txt";
    FILE *fp;
    fp = fopen(filetosave, "a+");//追加内容
    if(fp == NULL)
    {
	printf("1.txt cannot open");
	return -1;
    }
    //fprintf(fp,"\n\nFPS:%.1f\n",fps);
    fprintf(fp,"\n\nframe:%d\n",framenum);
    framenum += 1;
    fprintf(fp,"Objects:\n");
    fclose(fp);	
/changed by dingjing，以上

    image display = buff[(buff_index+2) % 3];
    draw_detections(display, dets, nboxes, demo_thresh, demo_names, demo_alphabet, demo_classes);
    free_detections(dets, nboxes);

    demo_index = (demo_index + 1)%demo_frame;
    running = 0;
    return 0;
}

void *fetch_in_thread(void *ptr)
{
    free_image(buff[buff_index]);
    buff[buff_index] = get_image_from_stream(cap);
    if(buff[buff_index].data == 0) {
        demo_done = 1;
        return 0;
    }
    letterbox_image_into(buff[buff_index], net->w, net->h, buff_letter[buff_index]);
    return 0;
}

void *display_in_thread(void *ptr)
{
    int c = show_image(buff[(buff_index + 1)%3], "Demo", 1);
    if (c != -1) c = c%256;
    if (c == 27) {
        demo_done = 1;
        return 0;
    } else if (c == 82) {
        demo_thresh += .02;
    } else if (c == 84) {
        demo_thresh -= .02;
        if(demo_thresh <= .02) demo_thresh = .02;
    } else if (c == 83) {
        demo_hier += .02;
    } else if (c == 81) {
        demo_hier -= .02;
        if(demo_hier <= .0) demo_hier = .0;
    }
    return 0;
}

void *display_loop(void *ptr)
{
    while(1){
        display_in_thread(0);
    }
}

void *detect_loop(void *ptr)
{
    while(1){
        detect_in_thread(0);
    }
}

void demo(char *cfgfile, char *weightfile, float thresh, int cam_index, const char *filename, char **names, int classes, int delay, char *prefix, int avg_frames, float hier, int w, int h, int frames, int fullscreen)
{
    //demo_frame = avg_frames;
    image **alphabet = load_alphabet();
    demo_names = names;
    demo_alphabet = alphabet;
    demo_classes = classes;
    demo_thresh = thresh;
    demo_hier = hier;
    printf("Demo\n");
    net = load_network(cfgfile, weightfile, 0);
    set_batch_network(net, 1);
    pthread_t detect_thread;
    pthread_t fetch_thread;

    srand(2222222);

    int i;
    demo_total = size_network(net);
    predictions = calloc(demo_frame, sizeof(float*));
    for (i = 0; i < demo_frame; ++i){
        predictions[i] = calloc(demo_total, sizeof(float));
    }
    avg = calloc(demo_total, sizeof(float));

    if(filename){
        printf("video file: %s\n", filename);
        cap = open_video_stream(filename, 0, 0, 0, 0);
    }else{
        cap = open_video_stream(0, cam_index, w, h, frames);
    }

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

    buff[0] = get_image_from_stream(cap);
    buff[1] = copy_image(buff[0]);
    buff[2] = copy_image(buff[0]);
    buff_letter[0] = letterbox_image(buff[0], net->w, net->h);
    buff_letter[1] = letterbox_image(buff[0], net->w, net->h);
    buff_letter[2] = letterbox_image(buff[0], net->w, net->h);

    int count = 0;
    if(!prefix){
        make_window("Demo", 1352, 1013, fullscreen);
    }

    demo_time = what_time_is_it_now();

    while(!demo_done){
        buff_index = (buff_index + 1) %3;
        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(!prefix){
            fps = 1./(what_time_is_it_now() - demo_time);
            demo_time = what_time_is_it_now();
            display_in_thread(0);
        }else{
            char name[256];
            sprintf(name, "%s_%08d", prefix, count);
            save_image(buff[(buff_index + 1)%3], name);
        }
        pthread_join(fetch_thread, 0);
        pthread_join(detect_thread, 0);
        ++count;
    }
}

/*
   void demo_compare(char *cfg1, char *weight1, char *cfg2, char *weight2, float thresh, int cam_index, const char *filename, char **names, int classes, int delay, char *prefix, int avg_frames, float hier, int w, int h, int frames, int fullscreen)
   {
   demo_frame = avg_frames;
   predictions = calloc(demo_frame, sizeof(float*));
   image **alphabet = load_alphabet();
   demo_names = names;
   demo_alphabet = alphabet;
   demo_classes = classes;
   demo_thresh = thresh;
   demo_hier = hier;
   printf("Demo\n");
   net = load_network(cfg1, weight1, 0);
   set_batch_network(net, 1);
   pthread_t detect_thread;
   pthread_t fetch_thread;

   srand(2222222);

   if(filename){
   printf("video file: %s\n", filename);
   cap = cvCaptureFromFile(filename);
   }else{
   cap = cvCaptureFromCAM(cam_index);

   if(w){
   cvSetCaptureProperty(cap, CV_CAP_PROP_FRAME_WIDTH, w);
   }
   if(h){
   cvSetCaptureProperty(cap, CV_CAP_PROP_FRAME_HEIGHT, h);
   }
   if(frames){
   cvSetCaptureProperty(cap, CV_CAP_PROP_FPS, frames);
   }
   }

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

   layer l = net->layers[net->n-1];
   demo_detections = l.n*l.w*l.h;
   int j;

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

   buff[0] = get_image_from_stream(cap);
   buff[1] = copy_image(buff[0]);
   buff[2] = copy_image(buff[0]);
   buff_letter[0] = letterbox_image(buff[0], net->w, net->h);
   buff_letter[1] = letterbox_image(buff[0], net->w, net->h);
   buff_letter[2] = letterbox_image(buff[0], net->w, net->h);
   ipl = cvCreateImage(cvSize(buff[0].w,buff[0].h), IPL_DEPTH_8U, buff[0].c);

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

   demo_time = what_time_is_it_now();

   while(!demo_done){
buff_index = (buff_index + 1) %3;
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(!prefix){
    fps = 1./(what_time_is_it_now() - demo_time);
    demo_time = what_time_is_it_now();
    display_in_thread(0);
}else{
    char name[256];
    sprintf(name, "%s_%08d", prefix, count);
    save_image(buff[(buff_index + 1)%3], name);
}
pthread_join(fetch_thread, 0);
pthread_join(detect_thread, 0);
++count;
}
}
*/
#else
void demo(char *cfgfile, char *weightfile, float thresh, int cam_index, const char *filename, char **names, int classes, int delay, char *prefix, int avg, float hier, int w, int h, int frames, int fullscreen)
{
    fprintf(stderr, "Demo needs OpenCV for webcam images.\n");
}
#endif