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%%
", 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%%
", 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
", 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
", centerx,centery,left,top,right,bot);
fprintf(fp,"%d %d %d %d %d %d
",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 <stdio.h>
#include <math.h>
#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
", 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%%
", 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%%
", 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
", 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
", centerx,centery,left,top,right,bot);
fprintf(fp,"%d %d %d %d %d %d
",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
", 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
", 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
", 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
", shift);
}
else{
printf("%d
", 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
", 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
", 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"
STB Reason: %s
", 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("
");
if(j > 30) break;
}
printf("
");
}
printf("
");
}
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 <sys/time.h>
#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(" 33[2J");
printf(" 33[1;1H");
printf("
FPS:%.1f
",fps);
printf("Objects:
");
/////////////////////////////////////////////////////////////////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,"
FPS:%.1f
",fps);
fprintf(fp,"
frame:%d
",framenum);
framenum += 1;
fprintf(fp,"Objects:
");
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
");
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
", 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.
");
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
");
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
", 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.
");
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.
");
}
#endif