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  • Compiling OpenCV in Android NDK

    - by evident
    PLEASE SEE THE ADDITIONS AT THE BOTTOM! The first problem is solved in Linux, not under Windows and Cygwin yet, but there is a new problem. Please see below! I am currently trying to compile OpenCV for Android NDK so that I can use it in my apps. For this I tried to follow this guide: http://www.stanford.edu/~zxwang/android_opencv.html But when compiling the downloaded stuff with ndk-build I get this error: $ /cygdrive/u/flori/workspace/android-ndk-r5b/ndk-build Compile++ thumb : opencv <= cvjni.cpp Compile++ thumb : cxcore <= cxalloc.cpp Compile++ thumb : cxcore <= cxarithm.cpp Compile++ thumb : cxcore <= cxarray.cpp Compile++ thumb : cxcore <= cxcmp.cpp Compile++ thumb : cxcore <= cxconvert.cpp Compile++ thumb : cxcore <= cxcopy.cpp Compile++ thumb : cxcore <= cxdatastructs.cpp Compile++ thumb : cxcore <= cxdrawing.cpp Compile++ thumb : cxcore <= cxdxt.cpp Compile++ thumb : cxcore <= cxerror.cpp Compile++ thumb : cxcore <= cximage.cpp Compile++ thumb : cxcore <= cxjacobieigens.cpp Compile++ thumb : cxcore <= cxlogic.cpp Compile++ thumb : cxcore <= cxlut.cpp Compile++ thumb : cxcore <= cxmathfuncs.cpp Compile++ thumb : cxcore <= cxmatmul.cpp Compile++ thumb : cxcore <= cxmatrix.cpp Compile++ thumb : cxcore <= cxmean.cpp Compile++ thumb : cxcore <= cxmeansdv.cpp Compile++ thumb : cxcore <= cxminmaxloc.cpp Compile++ thumb : cxcore <= cxnorm.cpp Compile++ thumb : cxcore <= cxouttext.cpp Compile++ thumb : cxcore <= cxpersistence.cpp Compile++ thumb : cxcore <= cxprecomp.cpp Compile++ thumb : cxcore <= cxrand.cpp Compile++ thumb : cxcore <= cxsumpixels.cpp Compile++ thumb : cxcore <= cxsvd.cpp Compile++ thumb : cxcore <= cxswitcher.cpp Compile++ thumb : cxcore <= cxtables.cpp Compile++ thumb : cxcore <= cxutils.cpp StaticLibrary : libstdc++.a StaticLibrary : libcxcore.a Compile++ thumb : cv <= cvaccum.cpp Compile++ thumb : cv <= cvadapthresh.cpp Compile++ thumb : cv <= cvapprox.cpp Compile++ thumb : cv <= cvcalccontrasthistogram.cpp Compile++ thumb : cv <= cvcalcimagehomography.cpp Compile++ thumb : cv <= cvcalibinit.cpp Compile++ thumb : cv <= cvcalibration.cpp Compile++ thumb : cv <= cvcamshift.cpp Compile++ thumb : cv <= cvcanny.cpp Compile++ thumb : cv <= cvcolor.cpp Compile++ thumb : cv <= cvcondens.cpp Compile++ thumb : cv <= cvcontours.cpp Compile++ thumb : cv <= cvcontourtree.cpp Compile++ thumb : cv <= cvconvhull.cpp Compile++ thumb : cv <= cvcorner.cpp Compile++ thumb : cv <= cvcornersubpix.cpp Compile++ thumb : cv <= cvderiv.cpp Compile++ thumb : cv <= cvdistransform.cpp Compile++ thumb : cv <= cvdominants.cpp Compile++ thumb : cv <= cvemd.cpp Compile++ thumb : cv <= cvfeatureselect.cpp Compile++ thumb : cv <= cvfilter.cpp Compile++ thumb : cv <= cvfloodfill.cpp Compile++ thumb : cv <= cvfundam.cpp Compile++ thumb : cv <= cvgeometry.cpp Compile++ thumb : cv <= cvhaar.cpp Compile++ thumb : cv <= cvhistogram.cpp Compile++ thumb : cv <= cvhough.cpp Compile++ thumb : cv <= cvimgwarp.cpp Compile++ thumb : cv <= cvinpaint.cpp Compile++ thumb : cv <= cvkalman.cpp Compile++ thumb : cv <= cvlinefit.cpp Compile++ thumb : cv <= cvlkpyramid.cpp Compile++ thumb : cv <= cvmatchcontours.cpp Compile++ thumb : cv <= cvmoments.cpp Compile++ thumb : cv <= cvmorph.cpp Compile++ thumb : cv <= cvmotempl.cpp Compile++ thumb : cv <= cvoptflowbm.cpp Compile++ thumb : cv <= cvoptflowhs.cpp Compile++ thumb : cv <= cvoptflowlk.cpp Compile++ thumb : cv <= cvpgh.cpp Compile++ thumb : cv <= cvposit.cpp Compile++ thumb : cv <= cvprecomp.cpp Compile++ thumb : cv <= cvpyramids.cpp Compile++ thumb : cv <= cvpyrsegmentation.cpp Compile++ thumb : cv <= cvrotcalipers.cpp Compile++ thumb : cv <= cvsamplers.cpp Compile++ thumb : cv <= cvsegmentation.cpp Compile++ thumb : cv <= cvshapedescr.cpp Compile++ thumb : cv <= cvsmooth.cpp Compile++ thumb : cv <= cvsnakes.cpp Compile++ thumb : cv <= cvstereobm.cpp Compile++ thumb : cv <= cvstereogc.cpp Compile++ thumb : cv <= cvsubdivision2d.cpp Compile++ thumb : cv <= cvsumpixels.cpp Compile++ thumb : cv <= cvsurf.cpp Compile++ thumb : cv <= cvswitcher.cpp Compile++ thumb : cv <= cvtables.cpp Compile++ thumb : cv <= cvtemplmatch.cpp Compile++ thumb : cv <= cvthresh.cpp Compile++ thumb : cv <= cvundistort.cpp Compile++ thumb : cv <= cvutils.cpp StaticLibrary : libcv.a SharedLibrary : libopencv.so U:/flori/workspace/android-ndk-r5b/toolchains/arm-linux-androideabi-4.4.3/prebui lt/windows/bin/../lib/gcc/arm-linux-androideabi/4.4.3/../../../../arm-linux-andr oideabi/bin/ld.exe: cannot find -lcxcore collect2: ld returned 1 exit status make: *** [/cygdrive/u/flori/workspace/android/testOpenCV/obj/local/armeabi/libo pencv.so] Error 1 I am trying to compile it on a Windows system and with the newest NDK version... Does anybody have an idea what this linking error means and what I can to to have it work again? Would be great if anybody could help After getting the problem to work I found that there is another way of compiling OpenCV for Android, using the current version of OpenCV (instead of the 1.1 one from above) and the modified Android NDK from crystax, which supports STL and exceptions and therefore supports the newest OpenCV Version. All information on that can be found here: http://opencv.willowgarage.com/wiki/Android There it says to download the current svn trunk and the crystax-r4 android-ndk, as well as swig, which I did. I entered the folder, created the build directory, ran cmake and then built the static libs, which seemed to work. At least it successfully ran the make-command without errors. I now wanted to build the shared libraries so I entered the android-jni folder and ran 'make' again, but got this error: % make -j4 OPENCV_CONFIG = ../build/android-opencv.mk make clean-swig &&\ mkdir -p jni/gen &&\ mkdir -p src/com/opencv/jni &&\ swig -java -c++ -package "com.opencv.jni" \ -outdir src/com/opencv/jni \ -o jni/gen/android_cv_wrap.cpp jni/android-cv.i OPENCV_CONFIG = ../build/android-opencv.mk make[1]: Entering directory `/home/florian/android-opencv-willowgarage/android/android-jni' make[1]: warning: jobserver unavailable: using -j1. Add `+' to parent make rule. rm -f jni/gen/android_cv_wrap.cpp make[1]: Leaving directory `/home/florian/android-opencv-willowgarage/android/android-jni' /home/florian/android-ndk-r4-crystax/ndk-build OPENCV_CONFIG=../build/android-opencv.mk \ PROJECT_PATH= ARM_TARGETS="armeabi armeabi-v7a" V= /home/florian/android-ndk-r4-crystax/ndk-build OPENCV_CONFIG=../build/android-opencv.mk \ PROJECT_PATH= ARM_TARGETS="armeabi armeabi-v7a" V= make[1]: Entering directory `/home/florian/android-opencv-willowgarage/android/android-jni' /home/florian/android-opencv-willowgarage/android/android-jni/jni/Android.mk:10: ../build/android-opencv.mk: No such file or directory make[1]: Entering directory `/home/florian/android-opencv-willowgarage/android/android-jni' /home/florian/android-opencv-willowgarage/android/android-jni/jni/Android.mk:10: ../build/android-opencv.mk: No such file or directory /home/florian/android-opencv-willowgarage/android/android-jni/jni/Android.mk:10: ../build/android-opencv.mk: No such file or directory make[1]: warning: jobserver unavailable: using -j1. Add `+' to parent make rule. /home/florian/android-opencv-willowgarage/android/android-jni/jni/Android.mk:10: ../build/android-opencv.mk: No such file or directory make[1]: *** No rule to make target `../build/android-opencv.mk'. Stop. make[1]: Leaving directory `/home/florian/android-opencv-willowgarage/android/android-jni' make: *** [libs/armeabi/libandroid-opencv.so] Error 2 make: *** Waiting for unfinished jobs.... make[1]: warning: jobserver unavailable: using -j1. Add `+' to parent make rule. make[1]: *** No rule to make target `../build/android-opencv.mk'. Stop. make[1]: Leaving directory `/home/florian/android-opencv-willowgarage/android/android-jni' make: *** [libs/armeabi-v7a/libandroid-opencv.so] Error 2 Does anybody have an idea what this means and what I can do to build the shared libraries? ... Ok after having a look at the error message it came to me that it seems to have something missing in the build directory... but there wasn't even a build directory in the android folder so I created one, ran 'cmake' in there and 'make' again but get this error: Compile thumb : opencv_lapack <= /home/florian/android-opencv-willowgarage/3rdparty/lapack/sgetrf.c Compile thumb : opencv_lapack <= /home/florian/android-opencv-willowgarage/3rdparty/lapack/scopy.c Compile++ thumb: opencv_core <= /home/florian/android-opencv-willowgarage/modules/core/src/matrix.cpp cc1plus: error: /home/florian/android-opencv-willowgarage/android/../modules/index.rst/include: Not a directory make[3]: *** [/home/florian/android-opencv-willowgarage/android/build/obj/local/armeabi/objs/opencv_core/src/matrix.o] Error 1 make[3]: *** Waiting for unfinished jobs.... make[2]: *** [android-opencv] Error 2 make[1]: *** [CMakeFiles/ndk.dir/all] Error 2 make: *** [all] Error 2 Anybody know what this means?

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  • How to install opencv?

    - by Rick_2047
    Hello All, I am trying to learn image processing and obviously opencv is one of the best options. Usually synaptic does all my installing work for me so I just checked the repos. But in the repos there is only on libcv1 and it is listed as 1.0.0-6.2ubuntu1. Does that mean it is version 1.0 of opencv? Also I found this page in community wiki https://help.ubuntu.com/community/OpenCV It says I need to install libcv4 which is not in my repos. I also downloaded the source but it uses something called cmake, never used it before. Is it similar to make?

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  • How to install opencv on 9.10?

    - by Rick_2047
    Hello All, I am trying to learn image processing and obviously opencv is one of the best options. Usually synaptic does all my installing work for me so I just checked the repos. But in the repos there is only on libcv1 and it is listed as 1.0.0-6.2ubuntu1. Does that mean it is version 1.0 of opencv? Also I found this page in community wiki https://help.ubuntu.com/community/OpenCV It says I need to install libcv4 which is not in my repos. I also downloaded the source but it uses something called cmake, never used it before. Is it similar to make?

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  • Using opencv on 12.04

    - by leighman
    I have some simple opencv files which I wanted to compile on 12.04. I have installed all the -dev packages They use: #include <cv.h> #include <highgui.h> at the top of the file. Using g++ `pkg-config --cflags --libs opencv` canny.cpp gives cv.h: No such file or directory pkg-config seems to list /usr/include/opencv but the directory created at install is /usr/include/opencv2 Is this a bug? Any advice?

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  • Adaptive Threshold in OpenCV (Version 1 - the swig version)

    - by Neil Benn
    Hello I'm trying to get adaptive thresholding working in the python binding to opencv (the swig one - cannot get opencv 2.0 working as I am using a beagleboard as the cross compiling is not working yet). I have a greyscale image (ccg.jpg) and the following code import opencv from opencv import highgui img = highgui.cvLoadImage("ccg.png") img_bw = opencv.cvCreateImage(opencv.cvGetSize(img), opencv.IPL_DEPTH_8U, 1) opencv.cvAdaptiveThreshold(img, img_bw, 125, opencv.CV_ADAPTIVE_THRESH_MEAN_C, opencv.CV_THRESH_BINARY, 7, 10) When I run this I get the error: RuntimeError: openCV Error: Status=Formats of input arguments do not match function name=cvAdaptiveThreshold error messgae= file_name=cvadapthresh.cpp line=122 I've also tried having both the source and dest arguments both the same (greyscale) and I get the error 'Unsupported format or combination of formats'. Does anyone have any clues as to where I could be going wrong? Cheers, Neil

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  • How to install OpenCV without nVidia drivers

    - by Subhamoy Sengupta
    I have a laptop with on-board Intel graphics. I have been using OpenCV for years with this machine and I have managed to avoid manual compilation so far. But in Ubuntu 13.10, when I try to install libopencv-dev from the repositories, it brings along libopencv-ocl, which seems to be dependent on nvidia drivers. Letting the driver install messes up my xserver completely and when I do glxinfo afterwards, I get this: name of display: :0.0 Xlib: extension "GLX" missing on display ":0.0". Xlib: extension "GLX" missing on display ":0.0". Xlib: extension "GLX" missing on display ":0.0". Xlib: extension "GLX" missing on display ":0.0". Xlib: extension "GLX" missing on display ":0.0". Error: couldn't find RGB GLX visual or fbconfig Xlib: extension "GLX" missing on display ":0.0". Xlib: extension "GLX" missing on display ":0.0". Xlib: extension "GLX" missing on display ":0.0". Xlib: extension "GLX" missing on display ":0.0". Xlib: extension "GLX" missing on display ":0.0". Xlib: extension "GLX" missing on display ":0.0". Xlib: extension "GLX" missing on display ":0.0". To solve this, I purge all nVidia drivers and reinstall xserver, much like it has been suggested here, and when I purge the nvidia drivers, OpenCV development libraries are also removed, as apt-get tells me they are no longer needed. This is foreign to me, because I expected a warning that I have installed packages that depend on this, but how can removing a dependency automatically remove the package I installed without warnings or asking? I understand it has something to do with nVidia being the provider of the libopencv-ocl in the repo. How could I get around it? I would rather not compile OpenCV if I can help it. I have seen similar questions, but not a suitable answer.

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  • openCV Won't copy to image after changed color ( opencv and c++ )

    - by user1656647
    I am a beginner at opencv. I have this task: Make a new image Put a certain image in it at 0,0 Convert the certain image to gray scale put the grayscaled image next to it ( at 300, 0 ) This is what I did. I have a class imagehandler that has constructor and all the functions. cv::Mat m_image is the member field. Constructor to make new image: imagehandler::imagehandler(int width, int height) : m_image(width, height, CV_8UC3){ } Constructor to read image from file: imagehandler::imagehandler(const std::string& fileName) : m_image(imread(fileName, CV_LOAD_IMAGE_COLOR)) { if(!m_image.data) { cout << "Failed loading " << fileName << endl; } } This is the function to convert to grayscale: void imagehandler::rgb_to_greyscale(){ cv::cvtColor(m_image, m_image, CV_RGB2GRAY); } This is the function to copy paste image: //paste image to dst image at xloc,yloc void imagehandler::copy_paste_image(imagehandler& dst, int xLoc, int yLoc){ cv::Rect roi(xLoc, yLoc, m_image.size().width, m_image.size().height); cv::Mat imageROI (dst.m_image, roi); m_image.copyTo(imageROI); } Now, in the main, this is what I did : imagehandler CSImg(600, 320); //declare the new image imagehandler myimg(filepath); myimg.copy_paste_image(CSImg, 0, 0); CSImg.displayImage(); //this one showed the full colour image correctly myimg.rgb_to_greyscale(); myimg.displayImage(); //this shows the colour image in GRAY scale, works correctly myimg.copy_paste_image(CSImg, 300, 0); CSImg.displayImage(); // this one shows only the full colour image at 0,0 and does NOT show the greyscaled one at ALL! What seems to be the problem? I've been scratching my head for hours on this one!!!

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  • OpenCV install problems on Studio 12.04 - broken dependencies

    - by Will
    I'm trying to follow the Ubuntu OpenCV documentation at OpenCV. The provided script has a line which executed for some time, taking away more packages than I expected (such as ubuntu-studio video); sudo apt-get -qq remove ffmpeg x264 libx264-dev When the script gets to the line below, it bombs; sudo apt-get -qq install libopencv-dev build-essential checkinstall cmake pkg-config yasm libtiff4-dev libjpeg-dev libjasper-dev libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev libxine-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev python-dev python-numpy libtbb-dev libqt4-dev libgtk2.0-dev libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev x264 v4l-utils ffmpeg The error msg is; E: Unable to correct problems, you have held broken packages. I've since run Update-Manager, run sudo apt-get updates, rebooted, tried the above script line manually, and still no change. I've just run sudo apt-get install -f and nothing seemed to change. It did mention that some packages were no longer needed and could be removed by apt-get autoremove, so I ran that. It removed a number of packages, so I reran the install command above. Still same problem of held broken packages. I just ran sudo apt-get -u dist-upgrade Part of the response was; The following packages have been kept back: gstreamer0.10-ffmpeg I'm not sure what that means. I do know that it shows up in my Update-Manager and cannot be checked I then ran sudo dpkg --configure -a and then reran sudo apt-get -f install and the package was still not upgraded, though there was this very interesting comment; Some packages could not be installed. This may mean that you have requested an impossible situation or if you are using the unstable distribution that some required packages have not yet been created or been moved out of Incoming. The following information may help to resolve the situation: The following packages have unmet dependencies: gstreamer0.10-ffmpeg : Depends: libavcodec53 (< 5:0) but it is not going to be installed or libavcodec-extra-53 (< 5:0) but 5:0.7.2-1ubuntu1+codecs1~oneiric2 is to be installed E: Unable to correct problems, you have held broken packages. Then I ran sudo apt-get -u dist-upgrade It showed I had one held package, so I ran; sudo apt-get -o Debug::pkgProblemResolver=yes dist-upgrade It also exited without upgrading the package, so I ran; sudo apt-get remove --dry-run gstreamer0.10-ffmpeg:i386 And it gave me; *The following packages will be REMOVED: arista gstreamer0.10-ffmpeg 0 upgraded, 0 newly installed, 2 to remove and 0 not upgraded. Remv arista [0.9.7-3ubuntu1] Remv gstreamer0.10-ffmpeg [0.10.12-1ubuntu1]* But when I reran sudo apt-get -u dist-upgrade It showed the package was still there. *The following packages have been kept back: gstreamer0.10-ffmpeg 0 upgraded, 0 newly installed, 0 to remove and 1 not upgraded.* Update: Just went into Synaptic PM and completely removed gstreamer0.10-ffmpeg Reran sudo apt-get -u dist-upgrade And was told; 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. However, when I ran the original apt-get to install opencv (first code at the top of this question), it still gave me the same broken package errors. So I tried $ cat /etc/apt/sources.list # # deb cdrom:[Ubuntu-Studio 11.10 _Oneiric Ocelot_ - Release i386 (20111011.1)]/ oneiric main multiverse restricted universe # deb cdrom:[Ubuntu-Studio 11.10 _Oneiric Ocelot_ - Release i386 (20111011.1)]/ oneiric main multiverse restricted universe # See http://help.ubuntu.com/community/UpgradeNotes for how to upgrade to # newer versions of the distribution. deb http://us.archive.ubuntu.com/ubuntu/ precise main restricted deb-src http://us.archive.ubuntu.com/ubuntu/ precise main restricted ## Major bug fix updates produced after the final release of the ## distribution. deb http://us.archive.ubuntu.com/ubuntu/ precise-updates main restricted deb-src http://us.archive.ubuntu.com/ubuntu/ precise-updates main restricted ## N.B. software from this repository is ENTIRELY UNSUPPORTED by the Ubuntu ## team. Also, please note that software in universe WILL NOT receive any ## review or updates from the Ubuntu security team. deb http://us.archive.ubuntu.com/ubuntu/ precise universe deb-src http://us.archive.ubuntu.com/ubuntu/ precise universe deb http://us.archive.ubuntu.com/ubuntu/ precise-updates universe deb-src http://us.archive.ubuntu.com/ubuntu/ precise-updates universe ## N.B. software from this repository is ENTIRELY UNSUPPORTED by the Ubuntu ## team, and may not be under a free licence. Please satisfy yourself as to ## your rights to use the software. Also, please note that software in ## multiverse WILL NOT receive any review or updates from the Ubuntu ## security team. deb http://us.archive.ubuntu.com/ubuntu/ precise multiverse deb-src http://us.archive.ubuntu.com/ubuntu/ precise multiverse deb http://us.archive.ubuntu.com/ubuntu/ precise-updates multiverse deb-src http://us.archive.ubuntu.com/ubuntu/ precise-updates multiverse ## N.B. software from this repository may not have been tested as ## extensively as that contained in the main release, although it includes ## newer versions of some applications which may provide useful features. ## Also, please note that software in backports WILL NOT receive any review ## or updates from the Ubuntu security team. deb http://security.ubuntu.com/ubuntu precise-security main restricted deb-src http://security.ubuntu.com/ubuntu precise-security main restricted deb http://security.ubuntu.com/ubuntu precise-security universe deb-src http://security.ubuntu.com/ubuntu precise-security universe deb http://security.ubuntu.com/ubuntu precise-security multiverse deb-src http://security.ubuntu.com/ubuntu precise-security multiverse ## Uncomment the following two lines to add software from Canonical's ## 'partner' repository. ## This software is not part of Ubuntu, but is offered by Canonical and the ## respective vendors as a service to Ubuntu users. deb http://archive.canonical.com/ubuntu precise partner # deb-src http://archive.canonical.com/ubuntu oneiric partner ## Uncomment the following two lines to add software from Ubuntu's ## 'extras' repository. ## This software is not part of Ubuntu, but is offered by third-party ## developers who want to ship their latest software. # deb http://extras.ubuntu.com/ubuntu oneiric main # deb-src http://extras.ubuntu.com/ubuntu oneiric main # deb http://download.opensuse.org/repositories/home:/popinet/xUbuntu_11.04 ./ # disabled on upgrade to precise and then; $ cat /etc/apt/sources.list.d/* But I don't have enough reputation to post the results here (it says I need at least 10 reputation points to post more than 2 links), so I don't know how to provide the requested feedback. Then tried; $ sudo apt-get check [sudo] password for <abcd>: Reading package lists... Done Building dependency tree Reading state information... Done However, no resolution of the problem yet. What else do I need to do? Will an upgrade to Ubuntu Studio 13.xx solve this problem (or compound it)?

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  • OpenCV 2.4.2 on Matlab 2012b (Windows 7)

    - by Maik Xhani
    Hello i am trying to use OpenCV 2.4.2 in Matlab 2012b. I have tried those actions: downloaded OpenCV 2.4.2 used CMake on opencv folder using Visual Studio 10 and Visual Studio 10 Win64 compiler built Debug and Release version with Visual Studio first without any other option and then with D_SCL_SECURE=1 specified for every project changed Matlab's mexopts.bat and adding new lines refering to library and include (see bottom for mexopts.bat content) with Visual Studio 10 compiler tried to compile a simple file with a OpenCV library inclusion and all goes well. try to compile something that actually uses OpenCV commands and get errors. I used openmexopencv library and when tried to compile something i get this error cv.make mex -largeArrayDims -D_SECURE_SCL=1 -Iinclude -I"C:\OpenCV\build\include" -L"C:\OpenCV\build\x64\vc10\lib" -lopencv_calib3d242 -lopencv_contrib242 -lopencv_core242 -lopencv_features2d242 -lopencv_flann242 -lopencv_gpu242 -lopencv_haartraining_engine -lopencv_highgui242 -lopencv_imgproc242 -lopencv_legacy242 -lopencv_ml242 -lopencv_nonfree242 -lopencv_objdetect242 -lopencv_photo242 -lopencv_stitching242 -lopencv_ts242 -lopencv_video242 -lopencv_videostab242 src+cv\CamShift.cpp lib\MxArray.obj -output +cv\CamShift CamShift.cpp C:\Program Files\MATLAB\R2012b\extern\include\tmwtypes.h(821) : warning C4091: 'typedef ': ignorato a sinistra di 'wchar_t' quando non si dichiara alcuna variabile c:\program files\matlab\r2012b\extern\include\matrix.h(319) : error C4430: identificatore di tipo mancante, verr… utilizzato int. Nota: default-int non Š pi— supportato in C++ the content of my mexopts.bat is @echo off rem MSVC100OPTS.BAT rem rem Compile and link options used for building MEX-files rem using the Microsoft Visual C++ compiler version 10.0 rem rem $Revision: 1.1.6.4.2.1 $ $Date: 2012/07/12 13:53:59 $ rem Copyright 2007-2009 The MathWorks, Inc. rem rem StorageVersion: 1.0 rem C++keyFileName: MSVC100OPTS.BAT rem C++keyName: Microsoft Visual C++ 2010 rem C++keyManufacturer: Microsoft rem C++keyVersion: 10.0 rem C++keyLanguage: C++ rem C++keyLinkerName: Microsoft Visual C++ 2010 rem C++keyLinkerVersion: 10.0 rem rem ******************************************************************** rem General parameters rem ******************************************************************** set MATLAB=%MATLAB% set VSINSTALLDIR=c:\Program Files (x86)\Microsoft Visual Studio 10.0 set VCINSTALLDIR=%VSINSTALLDIR%\VC set OPENCVDIR=C:\OpenCV rem In this case, LINKERDIR is being used to specify the location of the SDK set LINKERDIR=c:\Program Files (x86)\Microsoft SDKs\Windows\v7.0A\ set PATH=%VCINSTALLDIR%\bin\amd64;%VCINSTALLDIR%\bin;%VCINSTALLDIR%\VCPackages;%VSINSTALLDIR%\Common7\IDE;%VSINSTALLDIR%\Common7\Tools;%LINKERDIR%\bin\x64;%LINKERDIR%\bin;%MATLAB_BIN%;%PATH% set INCLUDE=%OPENCVDIR%\build\include;%VCINSTALLDIR%\INCLUDE;%VCINSTALLDIR%\ATLMFC\INCLUDE;%LINKERDIR%\include;%INCLUDE% set LIB=%OPENCVDIR%\build\x64\vc10\lib;%VCINSTALLDIR%\LIB\amd64;%VCINSTALLDIR%\ATLMFC\LIB\amd64;%LINKERDIR%\lib\x64;%MATLAB%\extern\lib\win64;%LIB% set MW_TARGET_ARCH=win64 rem ******************************************************************** rem Compiler parameters rem ******************************************************************** set COMPILER=cl set COMPFLAGS=/c /GR /W3 /EHs /D_CRT_SECURE_NO_DEPRECATE /D_SCL_SECURE_NO_DEPRECATE /D_SECURE_SCL=0 /DMATLAB_MEX_FILE /nologo /MD set OPTIMFLAGS=/O2 /Oy- /DNDEBUG set DEBUGFLAGS=/Z7 set NAME_OBJECT=/Fo rem ******************************************************************** rem Linker parameters rem ******************************************************************** set LIBLOC=%MATLAB%\extern\lib\win64\microsoft set LINKER=link set LINKFLAGS=/dll /export:%ENTRYPOINT% /LIBPATH:"%LIBLOC%" libmx.lib libmex.lib libmat.lib /MACHINE:X64 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib opencv_calib3d242.lib opencv_contrib242.lib opencv_core242.lib opencv_features2d242.lib opencv_flann242.lib opencv_gpu242.lib opencv_haartraining_engine.lib opencv_imgproc242.lib opencv_highgui242.lib opencv_legacy242.lib opencv_ml242.lib opencv_nonfree242.lib opencv_objdetect242.lib opencv_photo242.lib opencv_stitching242.lib opencv_ts242.lib opencv_video242.lib opencv_videostab242.lib /nologo /manifest /incremental:NO /implib:"%LIB_NAME%.x" /MAP:"%OUTDIR%%MEX_NAME%%MEX_EXT%.map" set LINKOPTIMFLAGS= set LINKDEBUGFLAGS=/debug /PDB:"%OUTDIR%%MEX_NAME%%MEX_EXT%.pdb" set LINK_FILE= set LINK_LIB= set NAME_OUTPUT=/out:"%OUTDIR%%MEX_NAME%%MEX_EXT%" set RSP_FILE_INDICATOR=@ rem ******************************************************************** rem Resource compiler parameters rem ******************************************************************** set RC_COMPILER=rc /fo "%OUTDIR%mexversion.res" set RC_LINKER= set POSTLINK_CMDS=del "%LIB_NAME%.x" "%LIB_NAME%.exp" set POSTLINK_CMDS1=mt -outputresource:"%OUTDIR%%MEX_NAME%%MEX_EXT%;2" -manifest "%OUTDIR%%MEX_NAME%%MEX_EXT%.manifest" set POSTLINK_CMDS2=del "%OUTDIR%%MEX_NAME%%MEX_EXT%.manifest" set POSTLINK_CMDS3=del "%OUTDIR%%MEX_NAME%%MEX_EXT%.map"

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  • OpenCV, Python (ctypes), and OS X 10.5: dylib errors/confusion

    - by Jeff
    I have tried two brands of ctypes (ctypes-opencv and another) wrappers for OpenCV (2.0 from svn head), can use Python and OpenCV in the Python console, but whenever I try to import the packages (from ctypes_opencv import *) from another Python file, I get the following error message: OSError: dlopen(/usr/local/lib/libcv.dylib, 6): Symbol not found: __ZN2cv10fastMallocEm Referenced from: /usr/local/lib/libcv.dylib Expected in: flat namespace And some more Python errors: module body in __init__.py at line 18 from ctypes_opencv.cxcore import * module body in cxcore.py at line 80 _cxDLL, _cvDLL, _hgDLL = detect_opencv() function detect_opencv in cxcore.py at line 59 cvDLL = cdll.LoadLibrary(find_lib('cv')) function LoadLibrary in __init__.py at line 431 return self._dlltype(name) function __init__ in __init__.py at line 353 self._handle = _dlopen(self._name, mode) I most recently built OpenCV using flags the ctypes_opencv wiki recommended: ENABLE_SSE(2) OFF and BUILD_NEW_PYTHON_SUPPORT OFF. I've tried a number of flag combinations though. I also tried using the MacPorts install of OpenCV, got the same messages, uninstalled it, and now it errors out as well. :P And if that wasn't enough, I tried using the latest ctypes wrapper, but get boost-jam errors. Any help would be very much appreciated.

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  • Setting Up OpenCV and .lib files

    - by jhaip
    I have been trying to set up OpenCV for the past few days with no results. I am using Windows 7 and VS C++ 2008 express edition. I have downloaded and installed OpenCV 2.1 and some of the examples work. I downloaded CMake and ran it to generate the VS project files and built all of them but there with several errors, and couldn't get any farther than that. When I ran CMake I configured it to use the VS 9 compiler, and then it brought up a list of items in red such as BUILD_EXAMPLES, BUILD_LATEX_DOCS, ect. All of them were unchecked except BUILD_NEW_PYTHON_SUPPORT, BUILD_TESTS, ENABLE_OPENMP, and OPENCV_BUILD_3RDPARTY_LIBS. I configured and generate without changing anything and then it generated the VS files such as ALL_BUILD.vcproj. I built the OpenCV VS solution in debug mode and it had 15 failures (maybe this is part of the problem or is it because I don't have python and stuff like that?) Now there was a lib folder created after building but inside there was just this VC++ Minimum Rebuild Dependency file and Program Debug Database file, both called cvhaartraining. I believe it should have created the .lib files I need instead of this. Also, the bin folder now has a folder called Debug with the same types of files with names like cv200d and cvaux200d. Believe I need those .lib files to move forward. I would also greatly appreciate if someone could direct me to a reliable tutorial to set up VS for OpenCV because I have been reading a lot of tutorials and they all say different things such as some say to configure Window's environment variables and other say files are located in folders such as OpenCV/cv which I don't have. I have gotten past the point of clear headed thinking so if anyone could offer some direction or a simple list of the files I need to link then I would be thankful. Also a side question: why when linking the OpenCV libs do you have to put them in quotes?

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  • Why won't OpenCV compile in NVCC?

    - by zenna
    Hi there I am trying to integrate CUDA and openCV in a project. Problem is openCV won't compile when NVCC is used, while a normal c++ project compiles just fine. This seems odd to me, as I thought NVCC passed all host code to the c/c++ compiler, in this case the visual studio compiler. The errors I get are? c:\opencv2.0\include\opencv\cxoperations.hpp(1137): error: no operator "=" matches these operands operand types are: const cv::Range = cv::Range c:\opencv2.0\include\opencv\cxoperations.hpp(2469): error: more than one instance of overloaded function "std::abs" matches the argument list: function "abs(long double)" function "abs(float)" function "abs(double)" function "abs(long)" function "abs(int)" argument types are: (ptrdiff_t) So my question is why the difference considering the same compiler (should be) is being used and secondly how I could remedy this.

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  • Interpolation and Morphing of an image in labview and/or openCV

    - by Marc
    I am working on an image manipulation problem. I have an overhead projector that projects onto a screen, and I have a camera that takes pictures of that. I can establish a 1:1 correspondence between a subset of projector coordinates and a subset of camera pixels by projecting dots on the screen and finding the centers of mass of the resulting regions on the camera. I thus have a map proj_x, proj_y <-- cam_x, cam_y for scattered point pairs My original plan was to regularize this map using the Mathscript function griddata. This would work fine in MATLAB, as follows [pgridx, pgridy] = meshgrid(allprojxpts, allprojypts) fitcx = griddata (proj_x, proj_y, cam_x, pgridx, pgridy); fitcy = griddata (proj_x, proj_y, cam_y, pgridx, pgridy); and the reverse for the camera to projector mapping Unfortunately, this code causes Labview to run out of memory on the meshgrid step (the camera is 5 megapixels, which apparently is too much for labview to handle) I then started looking through openCV, and found the cvRemap function. Unfortunately, this function takes as its starting point a regularized pixel-pixel map like the one I was trying to generate above. However, it made me hope that functions for creating such a map might be available in openCV. I couldn't find it in the openCV 1.0 API (I am stuck with 1.0 for legacy reasons), but I was hoping it's there or that someone has an easy trick. So my question is one of the following 1) How can I interpolate from scattered points to a grid in openCV; (i.e., given z = f(x,y) for scattered values of x and y, how to fill an image with f(im_x, im_y) ? 2) How can I perform an image transform that maps image 1 to image 2, given that I know a scattered mapping of points in coordinate system 1 to coordinate system 2. This could be implemented either in Labview or OpenCV. Note: I am tagging this post delaunay, because that's one method of doing a scattered interpolation, but the better tag would be "scattered interpolation"

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  • Problem with cvCreateVideoWriter in OpenCv. Again )

    - by lyuba
    I know, that the issue had been widely discussed before, but after 5 hours of inefficient googling I guess I deserve to ask :) By the way, all such problems concerned earlier versions of OpenCV, so.. I've compiled fresh OpenCV 2.1. from source under Ubuntu 9.10. It works fine except of cvCreateVideoWriter, which returns null to the following request: CvVideoWriter *writer = cvCreateVideoWriter("video.avi", CV_FOURCC('M','J','P','G'), fps, size, 0); I've walked through the OpenCv folders - it even seems to have ffmpeg inside. I've also installed it on the system to make sure. I've changed CV_FOURCC('M','J','P','G') to -1 - all worthless. I would appreciate your help soo much! P.S. I've also explored some new way for writing videos here: http://opencv.willowgarage.com/documentation/cpp/reading_and_writing_images_and_video.html#videowriter But it fails to work as well, showing the mistake: error: no match for ‘operator>>’ in ‘writer >> frame’ My code is here: http://pastie.org/984734

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  • Using HandVU with OpenCV on Mac OS X 10.6.3

    - by 23tux
    Hi, I've tried to user HandVU with OpenCV but when I tried to run "hvOpenCV config/default.conductor" I get a "Segmentation fault". Anybody know this problem? macbook:handvu-beta3 User$ hvOpenCV config/default.conductor will load conductor from file: config/default.conductor Segmentation fault I installed OpenCV through http://opencv.willowgarage.com/wiki/Mac_OS_X_OpenCV_Port on Mac OS X 10.6.3, and HandVU through http://www.movesinstitute.org/~kolsch/HandVu/doc/InstallationLinux.html#source I think it's a problem with opencv, because if I'm trying to run the peopledetect example, I get a segmentation fault too. macbook:c User$ ./peopledetect pic1.png Segmentation fault And if I try to run the facedetect sample I get an error too: macbook:c User$ ./facedetect --cascade="../../haarcascades/haarcascade_frontalface_alt.xml" Xlib: extension "RANDR" missing on display "/tmp/launch-WUMho1/org.x:0". Hope someone can help! thx, tux

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  • Memory allocation problem with SVMs in OpenCV

    - by worksintheory
    Hi, I've been using OpenCV happily for a while, but now I have a problem which has bugged me for quite some time. The following code is reasonably minimal example of my problem: #include <cv.h> #include <ml.h> using namespace cv; int main(int argc, char **argv) { int sampleCountForTesting = 2731; //BROKEN: Breaks svm.train_auto(...) for values of 2731 or greater! Mat trainingData( sampleCountForTesting, 1, CV_32FC1, Scalar::all(0.0) ); Mat trainingResponses( sampleCountForTesting, 1, CV_32FC1, Scalar::all(0.0) ); for(int j = 0; j < 6; j++) { trainingData.at<float>( j, 0 ) = (float) (j%2); trainingResponses.at<float>( j, 0 ) = (float) (j%2); //Setting a few values so I don't get a "single class" error } CvSVMParams svmParams( 100, //100 is CvSVM::C_SVC, 2, //2 is CvSVM::RBF, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, NULL, TermCriteria( TermCriteria::MAX_ITER | TermCriteria::EPS, 2, 1.0 ) ); CvSVM svm = CvSVM(); svm.train_auto( trainingData, trainingResponses, Mat(), Mat(), svmParams ); return 0; } I just create matrices to hold the training data and responses, then set a few entries to some value other than zero, then run the SVM. But it breaks whenever there are 2731 rows or more: OpenCV Error: One of arguments' values is out of range (requested size is negative or too big) in cvMemStorageAlloc, file [omitted]/opencv/OpenCV-2.2.0/modules/core/src/datastructs.cpp, line 332 With fewer rows, it seems to be fine and a classifier trained in a similar manner to the above seems to be giving reasonable output. Am I doing something wrong? I'm pretty sure it's not actually anything to do with lack of memory, as I've got 6GB and also the code works fine when the data has 2730 rows and 10000 columns, which is a much bigger allocation. I'm running OpenCV 2.2 on OSX 10.6 and initially I thought the problem might be related to this bug if for some reason the fix wasn't included in the MacPorts version. Now I've also tried downloading the most recent stable version from the OpenCV site and building with cmake and using that, but I still get the same error, and the fix is definitely included in that version. Any help would be much appreciated! Thanks,

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  • how to integrate openCV and ARtoolkit

    - by mehmet
    hi all, I need to use both openCV and ARtoolkit libraries in the same project. I'm trying to get frame by using arVideoGetImage() function in order to process for with openCV functions. however program throws a "System.AccessViolationException" error in the following line of face detection example: CvSeq *faces = cvHaarDetectObjects(img, cascade, storage, 1.1, 3, 0, cvSize( 40, 40 )); ARtoolkit and openCV are work perfectly separately. Anyone has able to work these two library together, or any suggestion?? thanks

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  • Python bindings for C++ code using OpenCV giving segmentation fault

    - by lightalchemist
    I'm trying to write a python wrapper for some C++ code that make use of OpenCV but I'm having difficulties returning the result, which is a OpenCV C++ Mat object, to the python interpreter. I've looked at OpenCV's source and found the file cv2.cpp which has conversions functions to perform conversions to and fro between PyObject* and OpenCV's Mat. I made use of those conversions functions but got a segmentation fault when I tried to use them. I basically need some suggestions/sample code/online references on how to interface python and C++ code that make use of OpenCV, specifically with the ability to return OpenCV's C++ Mat to the python interpreter or perhaps suggestions on how/where to start investigating the cause of the segmentation fault. Currently I'm using Boost Python to wrap the code. Thanks in advance to any replies. The relevant code: // This is the function that is giving the segmentation fault. PyObject* ABC::doSomething(PyObject* image) { Mat m; pyopencv_to(image, m); // This line gives segmentation fault. // Some code to create cppObj from CPP library that uses OpenCV cv::Mat processedImage = cppObj->align(m); return pyopencv_from(processedImage); } The conversion functions taken from OpenCV's source follows. The conversion code gives segmentation fault at the commented line with "if (!PyArray_Check(o)) ...". static int pyopencv_to(const PyObject* o, Mat& m, const char* name = "<unknown>", bool allowND=true) { if(!o || o == Py_None) { if( !m.data ) m.allocator = &g_numpyAllocator; return true; } if( !PyArray_Check(o) ) // Segmentation fault inside PyArray_Check(o) { failmsg("%s is not a numpy array", name); return false; } int typenum = PyArray_TYPE(o); int type = typenum == NPY_UBYTE ? CV_8U : typenum == NPY_BYTE ? CV_8S : typenum == NPY_USHORT ? CV_16U : typenum == NPY_SHORT ? CV_16S : typenum == NPY_INT || typenum == NPY_LONG ? CV_32S : typenum == NPY_FLOAT ? CV_32F : typenum == NPY_DOUBLE ? CV_64F : -1; if( type < 0 ) { failmsg("%s data type = %d is not supported", name, typenum); return false; } int ndims = PyArray_NDIM(o); if(ndims >= CV_MAX_DIM) { failmsg("%s dimensionality (=%d) is too high", name, ndims); return false; } int size[CV_MAX_DIM+1]; size_t step[CV_MAX_DIM+1], elemsize = CV_ELEM_SIZE1(type); const npy_intp* _sizes = PyArray_DIMS(o); const npy_intp* _strides = PyArray_STRIDES(o); bool transposed = false; for(int i = 0; i < ndims; i++) { size[i] = (int)_sizes[i]; step[i] = (size_t)_strides[i]; } if( ndims == 0 || step[ndims-1] > elemsize ) { size[ndims] = 1; step[ndims] = elemsize; ndims++; } if( ndims >= 2 && step[0] < step[1] ) { std::swap(size[0], size[1]); std::swap(step[0], step[1]); transposed = true; } if( ndims == 3 && size[2] <= CV_CN_MAX && step[1] == elemsize*size[2] ) { ndims--; type |= CV_MAKETYPE(0, size[2]); } if( ndims > 2 && !allowND ) { failmsg("%s has more than 2 dimensions", name); return false; } m = Mat(ndims, size, type, PyArray_DATA(o), step); if( m.data ) { m.refcount = refcountFromPyObject(o); m.addref(); // protect the original numpy array from deallocation // (since Mat destructor will decrement the reference counter) }; m.allocator = &g_numpyAllocator; if( transposed ) { Mat tmp; tmp.allocator = &g_numpyAllocator; transpose(m, tmp); m = tmp; } return true; } static PyObject* pyopencv_from(const Mat& m) { if( !m.data ) Py_RETURN_NONE; Mat temp, *p = (Mat*)&m; if(!p->refcount || p->allocator != &g_numpyAllocator) { temp.allocator = &g_numpyAllocator; m.copyTo(temp); p = &temp; } p->addref(); return pyObjectFromRefcount(p->refcount); } My python test program: import pysomemodule # My python wrapped library. import cv2 def main(): myobj = pysomemodule.ABC("faces.train") # Create python object. This works. image = cv2.imread('61.jpg') processedImage = myobj.doSomething(image) cv2.imshow("test", processedImage) cv2.waitKey() if __name__ == "__main__": main()

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  • OpenCV videos across platform

    - by Gurman Gill
    I am writing a video using OpenCV on linux machine. I want to read the same video using OpenCV on a windows machine. I am not able to do this using the standard codecs provided in openCV. Can anybody suggest how I can read/write videos across the two platforms?

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  • c++ OpenCV CVCalibrateCamera2 is causing multiple errors

    - by tlayton
    I am making a simple calibration program in C++ using OpenCV. Everything goes fine until I actually try to call CVCalibrateCamera2. At this point, I get one of several errors: If the number of images which I am using is equal to 4 (which is the number of points being drawn from each image: OpenCV Error: Sizes of input arguments do not match (Both matrices must have the same number of points) in unknown function, file ......\src\cv\cvfundam.cpp, line 870 If the number of images is below 20: OpenCV Error: Bad argument (The total number of matrix elements is not divisible by the new number of rows) in unknown function, file ......\src\cxcore\cxarray.cpp, line 2749 Otherwise, if the number of image is 20 or above: OpenCV Error: Unsupported format or combination of formats (Invalid matrix type) in unknown function, file ......\src\cxcore\cxarray.cpp, line 117 I have checked the arguments for CVCalibrateCamera2 many times, and I am certain that they are of the correct dimensions relative to one another. It seems like somewhere the program is trying to reshape a matrix based on the number of images, but I can't figure out where or why. Any ideas? I am using Eclipse Galileo, MINGW 5.1.6, and OpenCV 2.1.

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  • compiling opencv 2.4 on a 64 bit mac in Xcode

    - by Walt
    I have an opencv project that I've been developing under ubuntu 12.04, on a parellels VM on a mac which has an x86_64 architecture. There have been many screen switching performance issues that I believe are due to the VM, where linux video modes flip around for a couple seconds while camera access is made by the opencv application. I decided to moved the project into Xcode on the mac side of the computer to continue the opencv development. However, I'm not that familiar with xcode and am having trouble getting the project to build correctly there. I have xcode installed. I downloaded and decompressed the latest version of opencv on the mac, and ran: ~/src/opencv/build/cmake-gui -G Xcode .. per the instructions from willowgarage and various other locations. This appeared to work fine (however I'm wondering now if I'm missing an architecture setting in here, although it is 64-bit intel in Xcode). I then setup an xcode project with the source files from the linux project and changed the include directories to use /opt/local/include/... rather than the /usr/local/include/... I switched xcode to use the LLVM GCC compiler in the build settings for the project then set the Apple LLVM Dialog for C++ to Language Dialect to GNU++11 (which seems possibly inconsistant with the line above) I'm not using a makefile in xcode, (that I'm aware of - it has its own project file...) I was also running into a linker issue that looked like they may be resolved with the addition of this linker flag: -lopencv_video based on a similar posting here: other thread however in that case the person was using a Makefile in their project. I've tried adding this linker flag under "Other Linker Flags" in xcode build settings but still get build errors. I think I may have two issues here, one with the architecture settings when building the opencv libraries with Cmake, and one with the linker flag settings in my project. Currently the build error list looks like this: Undefined symbols for architecture x86_64: "cv::_InputArray::_InputArray(cv::Mat const&)", referenced from: _main in main.o "cv::_OutputArray::_OutputArray(cv::Mat&)", referenced from: _main in main.o "cv::Mat::deallocate()", referenced from: cv::Mat::release() in main.o "cv::Mat::copySize(cv::Mat const&)", referenced from: cv::Mat::Mat(cv::Mat const&)in main.o cv::Mat::operator=(cv::Mat const&)in main.o "cv::Mat::Mat(_IplImage const*, bool)", referenced from: _main in main.o "cv::imread(std::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int)", referenced from: _main in main.o ---SNIP--- ld: symbol(s) not found for architecture x86_64 collect2: ld returned 1 exit status Can anyone provide some guidance on what to try next? Thanks, Walt

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  • Resize an array of images with OpenCV

    - by amr
    I'm passing an array of images (IplImage**) to an object in C++ using OpenCV. I'm then trying to iterate over that array and resize them all to a fixed size (150x150) I'm doing it this way: for(int i = 0; i< this->numTrainingFaces; i++) { IplImage* frame_copy = cvCreateImage( cvSize(150,150), this->faceImageArray[0]->depth, this->faceImageArray[0]->nChannels ); cout << "Created image" << endl; cvResize(this->faceImageArray[i], frame_copy); cout << "Resized image" << endl; IplImage* grey_image = cvCreateImage( cvSize( frame_copy->width, frame_copy->height ), IPL_DEPTH_8U, 1 ); cout << "Created grey image" << endl; cvCvtColor( frame_copy, grey_image, CV_RGB2GRAY ); cout << "Converted image" << endl; this->faceImageArray[i] = grey_image; cvReleaseImage(&frame_copy); cvReleaseImage(&grey_image); } But I'm getting this output, and I'm not sure why: Created image Resized image Created grey image Converted image Created image OpenCV Error: Assertion failed (src.type() == dst.type()) in cvResize, file /build/buildd/opencv-2.1.0/src/cv/cvimgwarp.cpp, line 3102 terminate called after throwing an instance of 'cv::Exception' what(): /build/buildd/opencv-2.1.0/src/cv/cvimgwarp.cpp:3102: error: (-215) src.type() == dst.type() in function cvResize Aborted I'm basically just trying to replace the image in the array with the resized one in as few steps as possible. Edit: Revised my code as follows: for(int i = 0; i< this->numTrainingFaces; i++) { IplImage* frame_copy = cvCreateImage( cvSize(150,150), this->faceImageArray[i]->depth, this->faceImageArray[i]->nChannels ); cvResize(this->faceImageArray[i], frame_copy); IplImage* grey_image = cvCreateImage( cvSize( frame_copy->width, frame_copy->height ), IPL_DEPTH_8U, 1 ); cvCvtColor( frame_copy, grey_image, CV_RGB2GRAY ); faceImageArray[i] = cvCreateImage( cvSize(grey_image->width, grey_image->height), grey_image->depth, grey_image->nChannels); cvCopy(grey_image,faceImageArray[i]); cvReleaseImage(&frame_copy); cvReleaseImage(&grey_image); } Then later on I'm performing some PCA, and get this output: OpenCV Error: Null pointer (Null pointer to the written object) in cvWrite, file /build/buildd/opencv-2.1.0/src/cxcore/cxpersistence.cpp, line 4740 But I don't think my code has got to the point where I'm explicitly calling cvWrite, so it must be part of the library. I can give a full implementation if necessary - is there anything in my code that's going to create a null pointer?

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  • Integrate QT and OpenCV in Visual Studio

    - by user2891190
    Sorry If you feel that this is an already asked question. But I googled for more than 2 days any tried lots of solution which given through stackoverflow and referred lots of tutorials. But I couldn't get a proper idea. I am already working in a project which use c++(visual studio) with opencv which I am developing as my university project. I have developing this for last 2 months. But now I want to add a better UI.(Previously I considered only on the functionality) So I decided to move into QT. I'm new to QT. So I did some google search. I know that I can do this with the QT creator. But I want to do this in visual studio as the functionality of my project is bit complex. What I already know is I have to build opencv with Qt using cmake. I followed few tutorials. But most of the tutorials use mingw and QT creator. http://www.anlak.com/build-debug-opencv-vs2010/ Accoring to above tutorial I generated a visual studio project using cmake. But when I tried to open that solution file my visual studio becomes not-responding. I can't figure out the reason. I tried two days and I couldn't find a proper tutorial which describes integration of QT and opencv in visual studio. So can someone give me the instruction to integrate QT and Opencv in visual studio.

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