Closed Hideousmon closed 1 year ago
Sincerely suggest that you could add “\” before the “`” in ncnn_sample's README.md, so that it may be easier for new comers to get started.
HI,* g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn/ lib/libncnn.a pkg-config --libs --cflags opencv
-fopenmp
Sincerely suggest that you could add “\” before the “`” in ncnn_sample's README.md, so that it may be easier for new comers to get started.
HI,* g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn/ lib/libncnn.a
pkg-config --libs --cflags opencv
-fopenmp
- Usage: ./yolo-fastest: how to use?
If there is no errors while compiling, you should be able to simply run ./yolo-fastest in the dir.
Sincerely suggest that you could add “\” before the “`” in ncnn_sample's README.md, so that it may be easier for new comers to get started.
HI,* g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn/ lib/libncnn.a
pkg-config --libs --cflags opencv
-fopenmp
- Usage: ./yolo-fastest: how to use?
If there is no errors while compiling, you should be able to simply run ./yolo-fastest in the dir.
After compiling NCNN,run Yolo-fastest?
Sincerely suggest that you could add “\” before the “`” in ncnn_sample's README.md, so that it may be easier for new comers to get started.
HI,* g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn/ lib/libncnn.a
pkg-config --libs --cflags opencv
-fopenmp
- Usage: ./yolo-fastest: how to use?
If there is no errors while compiling, you should be able to simply run ./yolo-fastest in the dir.
After compiling NCNN,run Yolo-fastest?
g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn/ lib/libncnn.a `pkg-config --libs --cflags opencv` -fopenmp
and if you use OPENCV 4.X, it should be:
g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn/ lib/libncnn.a `pkg-config --libs --cflags opencv4` -fopenmp
./yolo-fastest
Hope helpful.
Thanks very much!
---Original--- From: "Zhenyu ZHAO"<notifications@github.com> Date: Tue, Oct 20, 2020 15:12 PM To: "dog-qiuqiu/Yolo-Fastest"<Yolo-Fastest@noreply.github.com>; Cc: "Comment"<comment@noreply.github.com>;"2684160504"<2684160504@qq.com>; Subject: Re: [dog-qiuqiu/Yolo-Fastest] About ncnn_sample Compile Guide (#25)
Sincerely suggest that you could add “\” before the “`” in ncnn_sample's README.md, so that it may be easier for new comers to get started.
HI,* g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn/ lib/libncnn.a pkg-config --libs --cflags opencv -fopenmp
Usage: ./yolo-fastest: how to use?
If there is no errors while compiling, you should be able to simply run ./yolo-fastest in the dir.
After compiling NCNN,run Yolo-fastest?
complie ncnn.
copy NCNN's 'lib' and 'include' (in the dir 'ncnn->build->install' after successfully compiling ncnn ) into the dir 'ncnn_sample'.
run the instruction to compile: g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn/ lib/libncnn.a pkg-config --libs --cflags opencv -fopenmp and if you use OPENCV 4.X, it should be: g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn/ lib/libncnn.a pkg-config --libs --cflags opencv4 -fopenmp
run ./yolo-fastest
Hope helpful.
— You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.
Sincerely suggest that you could add “\” before the “`” in ncnn_sample's README.md, so that it may be easier for new comers to get started.
Hi,how do the other files work in yolofastestmaster?Such as darknet_image.py.I,m looking forward to your reply,thank you.
Sincerely suggest that you could add “\” before the “`” in ncnn_sample's README.md, so that it may be easier for new comers to get started.
Hi,how do the other files work in yolofastestmaster?Such as darknet_image.py.I,m looking forward to your reply,thank you.
I haven't tried to run darknet_image.py. 😂 You can refer to the the usage in yolov3, maybe.
Sincerely suggest that you could add “\” before the “`” in ncnn_sample's README.md, so that it may be easier for new comers to get started.
Hi,how do the other files work in yolofastestmaster?Such as darknet_image.py.I,m looking forward to your reply,thank you.
I haven't tried to run darknet_image.py. joy You can refer to the the usage in yolov3, maybe.
Thanks a lot,I will try it.
- complie ncnn.
- copy NCNN's 'lib' and 'include' (in the dir 'ncnn->build->install' after successfully compiling ncnn ) into the dir 'ncnn_sample'.
- run the instruction to compile:
g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn/ lib/libncnn.a `pkg-config --libs --cflags opencv` -fopenmp
and if you use OPENCV 4.X, it should be:g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn/ lib/libncnn.a `pkg-config --libs --cflags opencv4` -fopenmp
- run
./yolo-fastest
Hope helpful.
Hi, @Hideousmon Could you let me see your contents in ncnn\build\install\lib
my lib folder seems not include libncnn.a
:
It's on Ubunutu 18.04 Mate. I didn't have a try on Windows.
- complie ncnn.
- copy NCNN's 'lib' and 'include' (in the dir 'ncnn->build->install' after successfully compiling ncnn ) into the dir 'ncnn_sample'.
- run the instruction to compile:
g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn/ lib/libncnn.a `pkg-config --libs --cflags opencv` -fopenmp
and if you use OPENCV 4.X, it should be:g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn/ lib/libncnn.a `pkg-config --libs --cflags opencv4` -fopenmp
- run
./yolo-fastest
Hope helpful.
Hi, @Hideousmon Could you let me see your contents in
ncnn\build\install\lib
my lib folder seems not includelibncnn.a
:
anyone who know how to compile this demo in window?
@2684160504 @Hideousmon
anyone who know how to compile this demo in window?
I did not try that.:sweat: It should be similar to compiling the other C++ programs on Windows but include ncnn's libs since ncnn is supported on Windows.
my instruction in the ncnn sample dir in cmd: g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn lib/ncnn.lib 'pkg-config --libs --cflags opencv' -fopenmp mistake: g++: error: 'pkg-config: No such file or directory g++: error: opencv': No such file or directory g++: error: unrecognized command line option '--libs' g++: error: unrecognized command line option '--cflags'
my instruction in the ncnn sample dir in cmd: g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn lib/ncnn.lib 'pkg-config --libs --cflags opencv' -fopenmp mistake: g++: error: 'pkg-config: No such file or directory g++: error: opencv': No such file or directory g++: error: unrecognized command line option '--libs' g++: error: unrecognized command line option '--cflags'
Try to replace ' with `.:smiley:
instruction :g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn lib/ncnn.lib pkg-config --libs --cflags opencv
-fopenmp
still this mistake:
g++: error: pkg-config: No such file or directory g++: error: opencv
: No such file or directory
g++: error: unrecognized command line option '--libs'
g++: error: unrecognized command line option '--cflags'
instruction :g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn lib/ncnn.lib
pkg-config --libs --cflags opencv
-fopenmp still this mistake: g++: error:pkg-config: No such file or directory g++: error: opencv
: No such file or directory g++: error: unrecognized command line option '--libs' g++: error: unrecognized command line option '--cflags'
I didn't try this on Windows
But I think you may try to replace `pkg-config --libs --cflags` with the -L -I
options because pkg-config
is a Linux command.
For example in OpenCV C++ installation on Windows with MinGW Step 5,
$ g++ -I"C:\opencv\install\include" -L"C:\opencv\install\x64\mingw\lib" -L"C:\opencv\install\x64\mingw\bin" opencvtry.cpp -lopencv_core420 -lopencv_highgui420 -lopencv_imgproc420 -lopencv_imgcodecs420 -o app
Replace the above path with your opencv installation path.
The -I
option tell g++ where to search the opencv header files, the -L
option tell g++ where to search the opencv libs.
Or it looks like we could install pkg-config
on Windows, How to install pkg config in windows?
Maybe you could try it, I am curious about the results.
instruction :g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn lib/ncnn.lib
pkg-config --libs --cflags opencv
-fopenmp still this mistake: g++: error:pkg-config: No such file or directory g++: error: opencv
: No such file or directory g++: error: unrecognized command line option '--libs' g++: error: unrecognized command line option '--cflags'
On linux, it should work if ncnn and opencv are well installed. CW-B-W's reply seems quite helpful for compling the demo on Windows.
@Hideousmon @CW-B-W
my instruction in the ncnn sample dir in cmd:g++ -o yolo-fastest yolo-fastest.cpp -I"D:\Yolo-fastest-github\Yolo-Fastest-master\ncnn_sample\include\ncnn" -L"D:\Yolo-fastest-github\Yolo-Fastest-master\ncnn_sample\lib/ncnn.lib" -L"D:\opencv3.4.1\opencv\build\x64\vc14\lib" -I"D:\opencv3.4.1\opencv\build\include" -fopenmp
I try it and still meet the question on the next:
C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x141): undefined reference to ncnn::Mat::from_pixels_resize(unsigned char const*, int, int, int, int, int, ncnn::Allocator*)' C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x1ad): undefined reference to
ncnn::Mat::substract_mean_normalize(float const, float const)'
C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x1c3): undefined reference to ncnn::Net::create_extractor() const' C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x1e4): undefined reference to
ncnn::Extractor::set_num_threads(int)'
C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x205): undefined reference to ncnn::Extractor::input(char const*, ncnn::Mat const&)' C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x245): undefined reference to
ncnn::Extractor::extract(char const, ncnn::Mat&, int)'
C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x451): undefined reference to cv::rectangle(cv::_InputOutputArray const&, cv::Point_<int>, cv::Point_<int>, cv::Scalar_<double> const&, int, int, int)' C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x504): undefined reference to
cv::getTextSize(cv::String const&, int, double, int, int)'
C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x5fc): undefined reference to cv::putText(cv::_InputOutputArray const&, cv::String const&, cv::Point_<int>, int, double, cv::Scalar_<double>, int, int, bool)' C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x665): undefined reference to
ncnn::Extractor::~Extractor()'
C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x776): undefined reference to ncnn::Extractor::~Extractor()' C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x882): undefined reference to
ncnn::Net::Net()'
C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x8a0): undefined reference to ncnn::Net::load_param(char const*)' C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x8b7): undefined reference to
ncnn::Net::load_model(char const*)'
C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x8f0): undefined reference to cv::VideoCapture::VideoCapture(int)' C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x8f8): undefined reference to
cv::VideoCapture::operator>>(cv::Mat&)'
C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x91a): undefined reference to ncnn::get_current_time()' C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x948): undefined reference to
ncnn::get_current_time()'
C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x9b7): undefined reference to cv::imshow(cv::String const&, cv::_InputArray const&)' C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0x9eb): undefined reference to
cv::waitKey(int)'
C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0xa50): undefined reference to cv::VideoCapture::~VideoCapture()' C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o:yolo-fastest.cpp:(.text+0xae2): undefined reference to
ncnn::Net::~Net()'
d:/pkg-config-for-g++/windows--build/bin/../lib/gcc/i686-w64-mingw32/4.8.3/../../../../i686-w64-mingw32/bin/ld.exe: C:\Users\~1\AppData\Local\Temp\ccNA9Hda.o: bad reloc address 0x0 in section `.data'
d:/pkg-config-for-g++/windows--build/bin/../lib/gcc/i686-w64-mingw32/4.8.3/../../../../i686-w64-mingw32/bin/ld.exe: final link failed: Invalid operation
collect2.exe: error: ld returned 1 exit status
instruction :g++ -o yolo-fastest yolo-fastest.cpp -I include/ncnn lib/ncnn.lib
pkg-config --libs --cflags opencv
-fopenmp still this mistake: g++: error:pkg-config: No such file or directory g++: error: opencv
: No such file or directory g++: error: unrecognized command line option '--libs' g++: error: unrecognized command line option '--cflags'On linux, it should work if ncnn and opencv are well installed. CW-B-W's reply seems quite helpful for compling the demo on Windows.
I install the pkg-config and window--build,but still questions I decide to give up .Thank you very much for helping me .
Sincerely suggest that you could add “\” before the “`” in ncnn_sample's README.md, so that it may be easier for new comers to get started.