【CV源码实现及调试】darknet中opencv的问题

【CV源码实现及调试】darknet中opencv的问题

error

./src/image_opencv.cpp:5:10: fatal error: opencv2/opencv.hpp: No such file or directory 5 | #include "opencv2/opencv.hpp"

error

./src/image_opencv.cpp:12:1: error: ‘IplImage’ does not name a type 12

问题原因，说到底就是opencv include和lib的路径问题；

安装opencv

使用cmake安装，编译阶段会出现问题，或者编译安装成功，但是没有opencv_world库，最后直接使用cmake gui安装；

解决方法：

重新安装opencv，修改Makefile中opencv部分，然后更改src/image_opencv.cpp文件，使用Mat替换IplImage，且 remove all CV_ from opencv flags；

sudo apt install libopencv-dev # opencv 4.2.0dpkg --list | grep opencvpkg-config --libs opencv4pkg-config

Makefile

LDFLAGS+= `pkg-config --libs opencv4` -lstdc++COMMON+= `pkg-config

src/image_opencv.cpp

#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;}/*IplImage *image_to_ipl(image im){ int x,y,c; IplImage *disp = cvCreateImage(cvSize(im.w,im.h), IPL_DEPTH_8U, im.c); int step = disp->widthStep; 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]; disp->imageData[y*step + x*im.c + c] = (unsigned char)(val*255); } } } return disp;}image ipl_to_image(IplImage* src){ int h = src->height; int w = src->width; int c = src->nChannels; image im = make_image(w, h, c); unsigned char *data = (unsigned char *)src->imageData; int step = src->widthStep; 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.; } } } return im;}Mat image_to_mat(image im){ image copy = copy_image(im); constrain_image(copy); if(im.c == 3) rgbgr_image(copy); IplImage *ipl = image_to_ipl(copy); Mat m = cvarrToMat(ipl, true); cvReleaseImage(&ipl); free_image(copy); return m;}image mat_to_image(Mat m){ IplImage ipl = m; image im = ipl_to_image(&ipl); 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

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参考

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