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How to compile YOLOv3 with opencv?


Package opencv was not found in the pkg-config search pathDebian compiling OpenCV examples with IPP: /usr/bin/ld: cannot find -llibsvml.so collect2: error: ld returned 1 exit statuscompiling c++ opencv 3.1 on raspberry pi 3Compiling hello world with opencv c++ on mac os x sierraHow to install opencv without building in space constrain for YOLO darknetMake Error 127 -( obj/convolutioanl_kernels.o) while compiling Yolo (Darknet) with GPU=1Package opencv was not found in the pkg-config search path when trying to build docker imageProblems with compiling darknet under ANACONDAYoloV3 : undefined symbol: _ZN9_IplImageC1ERKN2cv3MatE when Build with OpenCVYOLOv3 SPP and YOLOv3 difference?






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty height:90px;width:728px;box-sizing:border-box;








0















I want to user YOLOv3 for object detection in videos on macOS 10.14.1
I hence installed opencv 4.0.1



brew install opencv


Changed the line



OPENCV=0


to



OPENCV=1


in the darknet makefile



I then specified the pkgconfig link



 export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig


and recompiled



make

g++ -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv` -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -c ./src/image_opencv.cpp -o obj/image_opencv.o
Package opencv was not found in the pkg-config search path.
Perhaps you should add the directory containing `opencv.pc'
to the PKG_CONFIG_PATH environment variable
No package 'opencv' found
./src/image_opencv.cpp:5:10: fatal error: 'opencv2/opencv.hpp' file not found
#include "opencv2/opencv.hpp"


Should I understand YOLOv3 works with openCV 2.0 only?










share|improve this question






















  • You can use Yolo directly with the dnn module without downloading/making Darknet at all, if you want. Check this tutorial and that tutorial.

    – alkasm
    Mar 22 at 21:49

















0















I want to user YOLOv3 for object detection in videos on macOS 10.14.1
I hence installed opencv 4.0.1



brew install opencv


Changed the line



OPENCV=0


to



OPENCV=1


in the darknet makefile



I then specified the pkgconfig link



 export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig


and recompiled



make

g++ -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv` -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -c ./src/image_opencv.cpp -o obj/image_opencv.o
Package opencv was not found in the pkg-config search path.
Perhaps you should add the directory containing `opencv.pc'
to the PKG_CONFIG_PATH environment variable
No package 'opencv' found
./src/image_opencv.cpp:5:10: fatal error: 'opencv2/opencv.hpp' file not found
#include "opencv2/opencv.hpp"


Should I understand YOLOv3 works with openCV 2.0 only?










share|improve this question






















  • You can use Yolo directly with the dnn module without downloading/making Darknet at all, if you want. Check this tutorial and that tutorial.

    – alkasm
    Mar 22 at 21:49













0












0








0








I want to user YOLOv3 for object detection in videos on macOS 10.14.1
I hence installed opencv 4.0.1



brew install opencv


Changed the line



OPENCV=0


to



OPENCV=1


in the darknet makefile



I then specified the pkgconfig link



 export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig


and recompiled



make

g++ -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv` -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -c ./src/image_opencv.cpp -o obj/image_opencv.o
Package opencv was not found in the pkg-config search path.
Perhaps you should add the directory containing `opencv.pc'
to the PKG_CONFIG_PATH environment variable
No package 'opencv' found
./src/image_opencv.cpp:5:10: fatal error: 'opencv2/opencv.hpp' file not found
#include "opencv2/opencv.hpp"


Should I understand YOLOv3 works with openCV 2.0 only?










share|improve this question














I want to user YOLOv3 for object detection in videos on macOS 10.14.1
I hence installed opencv 4.0.1



brew install opencv


Changed the line



OPENCV=0


to



OPENCV=1


in the darknet makefile



I then specified the pkgconfig link



 export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig


and recompiled



make

g++ -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv` -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -c ./src/image_opencv.cpp -o obj/image_opencv.o
Package opencv was not found in the pkg-config search path.
Perhaps you should add the directory containing `opencv.pc'
to the PKG_CONFIG_PATH environment variable
No package 'opencv' found
./src/image_opencv.cpp:5:10: fatal error: 'opencv2/opencv.hpp' file not found
#include "opencv2/opencv.hpp"


Should I understand YOLOv3 works with openCV 2.0 only?







opencv yolo darknet






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Mar 22 at 18:45









Xavier PrudentXavier Prudent

517824




517824












  • You can use Yolo directly with the dnn module without downloading/making Darknet at all, if you want. Check this tutorial and that tutorial.

    – alkasm
    Mar 22 at 21:49

















  • You can use Yolo directly with the dnn module without downloading/making Darknet at all, if you want. Check this tutorial and that tutorial.

    – alkasm
    Mar 22 at 21:49
















You can use Yolo directly with the dnn module without downloading/making Darknet at all, if you want. Check this tutorial and that tutorial.

– alkasm
Mar 22 at 21:49





You can use Yolo directly with the dnn module without downloading/making Darknet at all, if you want. Check this tutorial and that tutorial.

– alkasm
Mar 22 at 21:49












1 Answer
1






active

oldest

votes


















0














I finally found out, YOLOv3 indeed needs opencv 2.0



you can find the version using



brew search opencv


and then



brew install opencv@2


the information will be displayed on how to update your links



YOLOV3 then compiles and runs as a charm.



(I will update the answer if things eventually go south...)






share|improve this answer























  • I'm using more modern darknet fork from AlexeyAB: github.com/AlexeyAB/darknet

    – Nuzhny
    Mar 22 at 20:17











  • No. Just use opencv 3.xx and you will be fine

    – gameon67
    Mar 23 at 4:50











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









0














I finally found out, YOLOv3 indeed needs opencv 2.0



you can find the version using



brew search opencv


and then



brew install opencv@2


the information will be displayed on how to update your links



YOLOV3 then compiles and runs as a charm.



(I will update the answer if things eventually go south...)






share|improve this answer























  • I'm using more modern darknet fork from AlexeyAB: github.com/AlexeyAB/darknet

    – Nuzhny
    Mar 22 at 20:17











  • No. Just use opencv 3.xx and you will be fine

    – gameon67
    Mar 23 at 4:50















0














I finally found out, YOLOv3 indeed needs opencv 2.0



you can find the version using



brew search opencv


and then



brew install opencv@2


the information will be displayed on how to update your links



YOLOV3 then compiles and runs as a charm.



(I will update the answer if things eventually go south...)






share|improve this answer























  • I'm using more modern darknet fork from AlexeyAB: github.com/AlexeyAB/darknet

    – Nuzhny
    Mar 22 at 20:17











  • No. Just use opencv 3.xx and you will be fine

    – gameon67
    Mar 23 at 4:50













0












0








0







I finally found out, YOLOv3 indeed needs opencv 2.0



you can find the version using



brew search opencv


and then



brew install opencv@2


the information will be displayed on how to update your links



YOLOV3 then compiles and runs as a charm.



(I will update the answer if things eventually go south...)






share|improve this answer













I finally found out, YOLOv3 indeed needs opencv 2.0



you can find the version using



brew search opencv


and then



brew install opencv@2


the information will be displayed on how to update your links



YOLOV3 then compiles and runs as a charm.



(I will update the answer if things eventually go south...)







share|improve this answer












share|improve this answer



share|improve this answer










answered Mar 22 at 19:14









Xavier PrudentXavier Prudent

517824




517824












  • I'm using more modern darknet fork from AlexeyAB: github.com/AlexeyAB/darknet

    – Nuzhny
    Mar 22 at 20:17











  • No. Just use opencv 3.xx and you will be fine

    – gameon67
    Mar 23 at 4:50

















  • I'm using more modern darknet fork from AlexeyAB: github.com/AlexeyAB/darknet

    – Nuzhny
    Mar 22 at 20:17











  • No. Just use opencv 3.xx and you will be fine

    – gameon67
    Mar 23 at 4:50
















I'm using more modern darknet fork from AlexeyAB: github.com/AlexeyAB/darknet

– Nuzhny
Mar 22 at 20:17





I'm using more modern darknet fork from AlexeyAB: github.com/AlexeyAB/darknet

– Nuzhny
Mar 22 at 20:17













No. Just use opencv 3.xx and you will be fine

– gameon67
Mar 23 at 4:50





No. Just use opencv 3.xx and you will be fine

– gameon67
Mar 23 at 4:50



















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