无法使用Asus Xtion Pro Live从VideoCapture OpenCV中获取图像

时间:2014-03-16 21:32:34

标签: c++ opencv openni primesense

我刚刚安装了OpenCV 2.4.7 OpenNI和primesense传感器,因为它可以在以下构建信息中看到。

我从VideoCapture对象抓取问题。例如,如果我运行openni_capture示例,我会得到"无法抓取图像。"但我得到有关深度和RGB相机的信息,所以我认为我正确地打开了VideoCapture对象,但是当它试图抓取图像时,抓取函数返回0。

我使用的是Asus Xtion Pro Live,OpenNI和Sensor工作正常,因为我可以运行NiViewer等示例。

我很感激这个问题的一些帮助。

谢谢!

General configuration for OpenCV 2.4.7 =====================================
  Version control:               unknown

  Platform:
    Host:                        Linux 3.5.0-47-generic x86_64
    CMake:                       2.8.9
    CMake generator:             Unix Makefiles
    CMake build tool:            /usr/bin/make
    Configuration:               Release

  C/C++:
    Built as dynamic libs?:      YES
    C++ Compiler:                /usr/bin/c++  (ver 4.7.2)
    C++ flags (Release):         -fsigned-char -W -Wall -Werror=return-type -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wno-narrowing -Wno-delete-non-virtual-dtor -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -msse -msse2 -msse3 -ffunction-sections -O3 -DNDEBUG  -DNDEBUG
    C++ flags (Debug):           -fsigned-char -W -Wall -Werror=return-type -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wno-narrowing -Wno-delete-non-virtual-dtor -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -msse -msse2 -msse3 -ffunction-sections -g  -O0 -DDEBUG -D_DEBUG -ggdb3
    C Compiler:                  /usr/bin/gcc
    C flags (Release):           -fsigned-char -W -Wall -Werror=return-type -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wno-narrowing -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -msse -msse2 -msse3 -ffunction-sections -O3 -DNDEBUG  -DNDEBUG
    C flags (Debug):             -fsigned-char -W -Wall -Werror=return-type -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wno-narrowing -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -msse -msse2 -msse3 -ffunction-sections -g  -O0 -DDEBUG -D_DEBUG -ggdb3
    Linker flags (Release):      
    Linker flags (Debug):        
    Precompiled headers:         YES

  OpenCV modules:
    To be built:                 core flann imgproc highgui features2d calib3d ml video legacy objdetect photo gpu ocl nonfree contrib java python stitching superres ts videostab
    Disabled:                    world
    Disabled by dependency:      -
    Unavailable:                 androidcamera

  GUI: 
    QT:                          NO
    GTK+ 2.x:                    YES (ver 2.24.13)
    GThread :                    YES (ver 2.34.1)
    GtkGlExt:                    NO
    OpenGL support:              NO

  Media I/O: 
    ZLib:                        /usr/lib/x86_64-linux-gnu/libz.so (ver 1.2.7)
    JPEG:                        libjpeg (ver 62)
    PNG:                         /usr/lib/x86_64-linux-gnu/libpng.so (ver 1.2.49)
    TIFF:                        /usr/lib/x86_64-linux-gnu/libtiff.so (ver 42 - 4.0.2)
    JPEG 2000:                   /usr/lib/x86_64-linux-gnu/libjasper.so (ver 1.900.1)
    OpenEXR:                     build (ver 1.7.1)

  Video I/O:
    DC1394 1.x:                  NO
    DC1394 2.x:                  YES (ver 2.2.0)
    FFMPEG:                      YES
      codec:                     YES (ver 53.35.0)
      format:                    YES (ver 53.21.1)
      util:                      YES (ver 51.22.2)
      swscale:                   YES (ver 2.1.0)
      gentoo-style:              YES
    GStreamer:                   
      base:                      YES (ver 0.10.36)
      app:                       YES (ver 0.10.36)
      video:                     YES (ver 0.10.36)
    OpenNI:                      YES (ver 1.5.7, build 10)
    OpenNI PrimeSensor Modules:  YES (/usr/lib/libXnCore.so)
    PvAPI:                       NO
    GigEVisionSDK:               NO
    UniCap:                      NO
    UniCap ucil:                 NO
    V4L/V4L2:                    Using libv4l (ver 0.8.8)
    XIMEA:                       NO
    Xine:                        NO

  Other third-party libraries:
    Use IPP:                     NO
    Use Eigen:                   YES (ver 3.0.93)
    Use TBB:                     NO
    Use OpenMP:                  NO
    Use GCD                      NO
    Use Concurrency              NO
    Use C=:                      NO
    Use Cuda:                    NO
    Use OpenCL:                  YES

  OpenCL:
    Version:                     dynamic
    Include path:                /home/xxx/imageproc/opencv-2.4.7/3rdparty/include/opencl/1.2
    Use AMD FFT:                 NO
    Use AMD BLAS:                NO

  Python:
    Interpreter:                 /usr/bin/python2 (ver 2.7.3)
    Libraries:                   /usr/lib/libpython2.7.so (ver 2.7.3)
    numpy:                       /usr/lib/python2.7/dist-packages/numpy/core/include (ver 1.6.2)
    packages path:               lib/python2.7/dist-packages

  Java:
    ant:                         /usr/bin/ant (ver 1.8.2)
    JNI:                         /usr/lib/jvm/java-6-openjdk/include /usr/lib/jvm/java-6-openjdk/include /usr/lib/jvm/java-6-openjdk/include
    Java tests:                  YES

  Documentation:
    Build Documentation:         NO
    Sphinx:                      NO
    PdfLaTeX compiler:           /usr/bin/pdflatex

  Tests and samples:
    Tests:                       YES
    Performance tests:           YES
    C/C++ Examples:              YES

  Install path:                  /usr/local

  cvconfig.h is in:              /home/xxx/imageproc/opencv-2.4.7/release

我实例化视频捕捉并尝试按如下方式抓取图像:

VideoCapture capture;

capture.open(CV_CAP_OPENNI);

if ( !capture.isOpened() )
{
    cout << "Error opening capture" << endl;
    return -1;
}


if( !capture.grab() )
{
    cout << "Can not grab image" << endl;
}

1 个答案:

答案 0 :(得分:2)

基于你的代码,我的猜测是使用kinect openni驱动程序而不是asus openni驱动程序

这个怎么样:

VideoCapture capture;

capture.open(CV_CAP_OPENNI_ASUS);

if ( !capture.isOpened() )
{
    cout << "Error opening capture" << endl;
    return -1;
}


if( !capture.grab() )
{
    cout << "Can not grab image" << endl;
}

过去我设法使用两个带有opencv的asus xtion pro传感器,你可以看到我的测试code here

此外,这些是来自highui types header的值,其中包含注释:

CV_CAP_OPENNI   =900,   // OpenNI (for Kinect)
CV_CAP_OPENNI_ASUS =910,   // OpenNI (for Asus Xtion)