opencv4.3.0+darknet安装配置

opencv的編譯看前面的文章

darknet安装

yolo官网下载darknet

git clone https://github.com/pjreddie/darknet
cd darknet

打开makefile，修改前几行为

GPU=1
CUDNN=1
OPENCV=1

然后make，

sudo make

如果之前opencv.pc没有配置好的话，会出现‘fatal error: opencv2/opencv.hpp: 没有那个文件或目录‘的错误。此时会出现
./src/image_opencv.cpp:12:1: error: ‘IplImage’ does not name a type; did you mean ‘image’?

cd darknet/src

在src文件夹下查找错误里的image_opencv.cpp，修改為下面的代碼

#ifdef OPENCV
#include “stdio.h”
#include “stdlib.h”
#include “opencv2/opencv.hpp”
#include “image.h”
using namespace cv;
extern “C” {
Mat image_to_mat(image im)
{
 image copy = copy_image(im);
 constrain_image(copy);
 if(im.c == 3) rgbgr_image(copy);
Mat m(cv::Size(im.w,im.h), CV_8UC(im.c));
 int x,y,c;
int step = m.step;
 for(y = 0; y < im.h; ++y){
 for(x = 0; x < im.w; ++x){
 for(c= 0; c < im.c; ++c){
 float val = im.data[c*im.h*im.w + y*im.w + x];
 m.data[y*step + x*im.c + c] = (unsigned char)(val*255);
 }
 }
 }
free_image(copy);
 return m;
}
image mat_to_image(Mat m)
{
 int h = m.rows;
 int w = m.cols;
 int c = m.channels();
 image im = make_image(w, h, c);
 unsigned char *data = (unsigned char *)m.data;
 int step = m.step;
 int i, j, k;
for(i = 0; i < h; ++i){
 for(k= 0; k < c; ++k){
 for(j = 0; j < w; ++j){
 im.data[k*w*h + i*w + j] = data[i*step + j*c + k]/255.;
 }
 }
 }
 rgbgr_image(im);
 return im;
}
void *open_video_stream(const char *f, int c, int w, int h, int fps)
{
 VideoCapture *cap;
 if(f) cap = new VideoCapture(f);
 else cap = new VideoCapture(c);
 if(!cap->isOpened()) return 0;
 if(w) cap->set(CAP_PROP_FRAME_WIDTH, w);
 if(h) cap->set(CAP_PROP_FRAME_HEIGHT, w);
 if(fps) cap->set(CAP_PROP_FPS, w);
 return (void *) cap;
}
image get_image_from_stream(void *p)
{
 VideoCapture *cap = (VideoCapture *)p;
 Mat m;
 *cap >> m;
 if(m.empty()) return make_empty_image(0,0,0);
 return mat_to_image(m);
}
image load_image_cv(char *filename, int channels)
{
 int flag = -1;
 if (channels == 0) flag = -1;
 else if (channels == 1) flag = 0;
 else if (channels == 3) flag = 1;
 else {
 fprintf(stderr, “OpenCV can’t force load with %d channels\n”, channels);
 }
 Mat m;
 m = imread(filename, flag);
 if(!m.data){
 fprintf(stderr, “Cannot load image \”%s\”\n”, filename);
 char buff[256];
 sprintf(buff, “echo %s >> bad.list”, filename);
 system(buff);
 return make_image(10,10,3);
 //exit(0);
 }
 image im = mat_to_image(m);
 return im;
}
int show_image_cv(image im, const char* name, int ms)
{
 Mat m = image_to_mat(im);
 imshow(name, m);
 int c = waitKey(ms);
 if (c != -1) c = c%256;
 return c;
}
void make_window(char *name, int w, int h, int fullscreen)
{
 namedWindow(name, WINDOW_NORMAL); 
 if (fullscreen) {
 setWindowProperty(name, WND_PROP_FULLSCREEN, WINDOW_FULLSCREEN);
 } else {
 resizeWindow(name, w, h);
 if(strcmp(name, “Demo”) == 0) moveWindow(name, 0, 0);
 }
}
}
#endif

後面就按照darknet說明做就可以了