darknet測試使用時,會調用 example/detector.c 文件
我們的目的是單目標檢測,只畫一類的框,其他類則屏蔽掉,要注意的是,這樣並不會減少時間,因爲計算量並沒有大程度的減少。
我們要找的是test_detector函數下的draw_detections
這個函數在src/iamge.c的文件下
我們需要做的是添加判定的條件:
這樣就可以做到輸出的單目標化,若想做到框的單目標化,就需要代碼的調移具體修改如下:
void draw_detections(image im, detection *dets, int num, float thresh, char **names, image **alphabet, int classes)
{
int i,j;
printf("start test");
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]);
}
//single_change
if(strcmp(names[j], "dog") ==0 )
{
printf("%s: %.0f%% single_ok \n ", names[j], dets[i].prob[j]*100);
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("%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;
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);
}
}
}
}
}
}