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  • Publier sur MédiaSpip

    13 juin 2013

    Puis-je poster des contenus à partir d’une tablette Ipad ?
    Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir

  • Les autorisations surchargées par les plugins

    27 avril 2010, par

    Mediaspip core
    autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs

  • D’autres logiciels intéressants

    12 avril 2011, par

    On ne revendique pas d’être les seuls à faire ce que l’on fait ... et on ne revendique surtout pas d’être les meilleurs non plus ... Ce que l’on fait, on essaie juste de le faire bien, et de mieux en mieux...
    La liste suivante correspond à des logiciels qui tendent peu ou prou à faire comme MediaSPIP ou que MediaSPIP tente peu ou prou à faire pareil, peu importe ...
    On ne les connais pas, on ne les a pas essayé, mais vous pouvez peut être y jeter un coup d’oeil.
    Videopress
    Site Internet : (...)

Sur d’autres sites (7924)

  • Revision 28201 : - chaine le langue manquante

    28 avril 2009, par marcimat@… — Log

    - chaine le langue manquante

  • Your 6-step guide to increasing acquisition

    2 juillet 2019, par Matomo Core Team — Analytics Tips

    Your 6-step guide to increasing acquisition

    Want to save time and money, as well as increase conversions and acquisition ? Matomo Analytics is here to help with that !

    Let’s start by helping you create a website visitors’ acquisition strategy, without it you might be going in blind and missing opportunities that might’ve been easily found in your metrics.

    To help you craft a strategy for your site, check out the steps below !

    Step one : Get familiar with the Acquisition feature

    The easiest way is to start with Matomo’s Acquisition feature itself. Discover and take action on the marketing channels with the biggest ROI for your business. You’ll learn :

    How to get traffic from external websites : Find out who’s helping you succeed from external websites and convince them to do more of it. Get more traffic by proactively asking for : paid sponsorships ; guest blog posts ; or spending more advertising on the particular website.

    About Social Networks : Which social media channels are connecting with the audience you want ? Take the guesswork out by using only the ones you need. By finding out which social channels your ideal audience prefers, you can generate shareable, convincing and engaging content to drive shares and traffic through to your site.

    Campaigns : This helps you understand which marketing campaign is working and which isn’t. You can then shift your efforts to effectively gain more visitors with less costs. Keep track of every ad and content piece you show across internal and external channels to see which has the biggest impact on your business objectives.

    Enhanced SEO : Every acquisition plan needs a focus on maximising your Search Engine Optimization (SEO) efforts. When it comes to getting conclusive search engine referrer metrics, you need to be sure you’re getting ALL the insights to drive your SEO strategy. See keyword position rankings, integrate Google, Bing and Yahoo search consoles, and no longer be restricted with “keyword not defined” showing up in your keywords reports.

    >> Watch Acquisition introduction video (playtime : 2.54 minutes)

    Step two : Set your goals and monitor conversion funnels

    Let the Goals feature guide you

    Goals are essential for building your marketing strategy and getting new customers. The more goals you track, the more you learn about behavioural changes and modify pathways to impact acquisitions over time. 

    Are you checking :

    • Which channels are converting the best for your business ?
    • Which cities/countries are most popular ?
    • What devices will attract the most visitors ?
    • How engaged your visitors are before converting ?

    This way you can see if your campaigns (SEO, PPC, signups, blogs etc.) or optimising efforts (A/B Testing, Funnels) have made an impact with the time and investment you’ve put in.

    >> Watch Goals introduction video (playtime : 2.04 minutes)

    The Funnels feature leads you to success

    Conversion funnels give you the big picture on whether your acquisition plans are paying off and where they may be falling short. If the ultimate goal of your site is to drive conversions, then each funnel can tell you how effectively you’re driving traffic through to your desired outcome.

    >> Watch Funnels introduction video (playtime : 2.29 minutes)

    Goals feature web analytics

    Step three : Measure the success of every touchpoint in your customer’s journey

    Multi Attribution feature

    Accurately identify channels where visitors first engage with your business, as well as the final channel they came from, before purchasing your product/service. This helps you make smarter decisions when determining acquisition spend to accurately calculate the Customer Acquisition Cost (CAC). Here you no longer falsely over-estimate investment in failing marketing channels.

    >> Watch Multi Attribution introduction video (playtime : 2.28 minutes)

    Step four : For ecommerce sites, understand who your customers are to increase sales

    Ecommerce feature to significantly increase $ potential

    If your website’s overall purpose is to generate revenue, the Ecommerce feature gives you comprehensive insights into your customer’s purchasing behaviours.

    This heavily reduces your risks when marketing products to potential customers as you’ll understand who to target, what to target them with and where further opportunities exist.

    >> Watch Ecommerce introduction video (playtime : 2.04 minutes)

    e-commerce analytics

    Step five : Make sure the forms on your website are easy to complete

    Form Analytics feature

    Once you get visitors through the funnel, the forms on your website are the final step to conversion and need special attention. If not done right, you could be missing out on converting a large portion of your visitors.

    Thankfully, you can now identify and fix pain points on the forms that are most important to your business’ success.

    >> Watch Form Analytics introduction video (playtime : 2.39 minutes)

    Form analytics feature

    Step six : Discover what a customer journey looks like on a user-by-user basis and bring in key acquisition elements to your strategy

    Visitor Profiles tell you each visitors’ history

    The Profile feature summarises every visit, action and purchase made.

    Better understand :

    • Why your visitors viewed your website.
    • Why your returning visitors continue to view your website.
    • What specifically your visitors are looking for and whether they found it on your website.

    The benefit is being able to see how a combination of acquisition channels play a part in a single buyer’s journey.

    >> Watch Visitors introduction video (playtime : 1.46 minutes)

    To summarise

    This guide will set you on a path to creating a well-planned acquisition strategy. It’s the key to attracting and capturing the attention of potential visitors/leads, and successfully driving them through a funnel/buyer’s journey on your website.

    Because of Matomo’s reputation as a trusted analytics platform, the features above can be used to assist you in making smarter data-driven decisions. You can pursue different acquisition avenues with confidence and create a strategy that’s agile and ready for success, all while respecting user privacy.

  • trying to make OpenCV 3.2.0 work with virtualenv

    24 juillet 2017, par lollercoaster

    I’m on Ubuntu 16.04 with Python 2.7 and virtualenv & virtualenvwrapper.

    By following this guide I managed to get the following script working with my system Python2.7 which has cv2 globally installed.

    I used this script to install it :

    ######################################
    # INSTALL OPENCV ON UBUNTU OR DEBIAN #
    ######################################

    # |         THIS SCRIPT IS TESTED CORRECTLY ON         |
    # |----------------------------------------------------|
    # | OS             | OpenCV       | Test | Last test   |
    # |----------------|--------------|------|-------------|
    # | Ubuntu 16.04.2 | OpenCV 3.2.0 | OK   | 20 May 2017 |
    # | Debian 8.8     | OpenCV 3.2.0 | OK   | 20 May 2017 |
    # | Debian 9.0     | OpenCV 3.2.0 | OK   | 25 Jun 2017 |

    # 1. KEEP UBUNTU OR DEBIAN UP TO DATE

    sudo apt-get -y update
    sudo apt-get -y upgrade
    sudo apt-get -y dist-upgrade
    sudo apt-get -y autoremove


    # 2. INSTALL THE DEPENDENCIES

    # Build tools:
    sudo apt-get install -y build-essential cmake

    # GUI (if you want to use GTK instead of Qt, replace 'qt5-default' with 'libgtkglext1-dev' and remove '-DWITH_QT=ON' option in CMake):
    sudo apt-get install -y qt5-default libvtk6-dev

    # Media I/O:
    sudo apt-get install -y zlib1g-dev libjpeg-dev libwebp-dev libpng-dev libtiff5-dev libjasper-dev libopenexr-dev libgdal-dev

    # Video I/O:
    sudo apt-get install -y libdc1394-22-dev libavcodec-dev libavformat-dev libswscale-dev libtheora-dev libvorbis-dev libxvidcore-dev libx264-dev yasm libopencore-amrnb-dev libopencore-amrwb-dev libv4l-dev libxine2-dev

    # Parallelism and linear algebra libraries:
    sudo apt-get install -y libtbb-dev libeigen3-dev

    # Python:
    sudo apt-get install -y python-dev python-tk python-numpy python3-dev python3-tk python3-numpy

    # Documentation:
    sudo apt-get install -y doxygen

    # UI stuff
    sudo apt-get install libgtk-3-dev libatlas-base-dev gfortran


    # 3. INSTALL THE LIBRARY (YOU CAN CHANGE '3.2.0' FOR THE LAST STABLE VERSION)
    sudo apt-get install -y unzip wget

    # opencv contrib
    wget https://github.com/opencv/opencv_contrib/archive/3.2.0.zip -O opencv_contrib-3.2.0.zip
    unzip opencv_contrib-3.2.0.zip
    rm opencv_contrib-3.2.0.zip

    # opencv
    wget https://github.com/opencv/opencv/archive/3.2.0.zip
    unzip 3.2.0.zip
    rm 3.2.0.zip
    mv opencv-3.2.0 OpenCV-3.2.0
    cd OpenCV-3.2.0

    mkdir build
    cd build
    cmake -D WITH_QT=ON \
       -D WITH_OPENGL=ON \
       -D FORCE_VTK=ON \
       -D WITH_TBB=ON \
       -D WITH_GDAL=ON \
       -D WITH_XINE=ON \
       -D BUILD_EXAMPLES=ON \
       -D INSTALL_PYTHON_EXAMPLES=ON \
       -D ENABLE_PRECOMPILED_HEADERS=OFF \
       -D BUILD_NEW_PYTHON_SUPPORT=ON \
       ..

    make -j4
    sudo make install
    sudo ldconfig


    # 4. EXECUTE SOME OPENCV EXAMPLES AND COMPILE A DEMONSTRATION

    # To complete this step, please visit 'http://milq.github.io/install-opencv-ubuntu-debian'.

    The following script below works great with that system-wide installation :

    import cv2

    img = cv2.imread('some_img.jpg')

    Though this one doesn’t - even the system Python can’t read videos for some reason...

    import cv2

    video_capture = cv2.VideoCapture(0)
    ret, frame = video_capture.read()
    print ret  # always False

    but I want it to work with my virtualenv. So I recompiled OpenCV with :

    cmake -D WITH_QT=ON \
       -D WITH_OPENGL=ON \
       -D FORCE_VTK=ON \
       -D WITH_TBB=ON \
       -D WITH_GDAL=ON \
       -D WITH_XINE=ON \
       -D BUILD_EXAMPLES=ON \
       -D INSTALL_PYTHON_EXAMPLES=ON \
       -D ENABLE_PRECOMPILED_HEADERS=OFF \
       -D BUILD_NEW_PYTHON_SUPPORT=ON \
       -D OPENCV_EXTRA_MODULES_PATH=/home/me/code/myproject/opencv_contrib-3.2.0/modules \
       -D PYTHON_EXECUTABLE=~/.envs/myenv/bin/python \
       ..

    make -j4
    sudo make install
    sudo ldconfig

    Here’s the CMake log :

    -- Found VTK ver. 6.2.0 (usefile: /usr/lib/cmake/vtk-6.2/UseVTK.cmake)
    -- Caffe:   NO
    -- Protobuf:   YES
    -- Glog:   NO
    -- freetype2:   YES
    -- harfbuzz:    YES
    -- Module opencv_sfm disabled because the following dependencies are not found: Glog/Gflags
    -- freetype2:   YES
    -- harfbuzz:    YES
    -- Checking for modules 'tesseract;lept'
    --   No package 'tesseract' found
    --   No package 'lept' found
    -- Tesseract:   NO
    -- Check contents of vgg_generated_48.i ...
    -- Check contents of vgg_generated_64.i ...
    -- Check contents of vgg_generated_80.i ...
    -- Check contents of vgg_generated_120.i ...
    -- Check contents of boostdesc_bgm.i ...
    -- Check contents of boostdesc_bgm_bi.i ...
    -- Check contents of boostdesc_bgm_hd.i ...
    -- Check contents of boostdesc_binboost_064.i ...
    -- Check contents of boostdesc_binboost_128.i ...
    -- Check contents of boostdesc_binboost_256.i ...
    -- Check contents of boostdesc_lbgm.i ...
    --
    -- General configuration for OpenCV 3.2.0 =====================================
    --   Version control:               817bd7b-dirty
    --
    --   Extra modules:
    --     Location (extra):            /home/me/code/myproject/opencv_contrib-3.2.0/modules
    --     Version control (extra):     817bd7b-dirty
    --
    --   Platform:
    --     Timestamp:                   2017-07-20T18:25:26Z
    --     Host:                        Linux 4.8.0-58-generic x86_64
    --     CMake:                       3.5.1
    --     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 5.4.0)
    --     C++ flags (Release):         -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -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 -Wno-comment -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -msse -msse2 -mno-avx -msse3 -mno-ssse3 -mno-sse4.1 -mno-sse4.2 -ffunction-sections -fvisibility=hidden -fvisibility-inlines-hidden -O3 -DNDEBUG  -DNDEBUG
    --     C++ flags (Debug):           -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -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 -Wno-comment -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -msse -msse2 -mno-avx -msse3 -mno-ssse3 -mno-sse4.1 -mno-sse4.2 -ffunction-sections -fvisibility=hidden -fvisibility-inlines-hidden -g  -O0 -DDEBUG -D_DEBUG
    --     C Compiler:                  /usr/bin/cc
    --     C flags (Release):           -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wno-narrowing -Wno-comment -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -msse -msse2 -mno-avx -msse3 -mno-ssse3 -mno-sse4.1 -mno-sse4.2 -ffunction-sections -fvisibility=hidden -O3 -DNDEBUG  -DNDEBUG
    --     C flags (Debug):             -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wno-narrowing -Wno-comment -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -msse -msse2 -mno-avx -msse3 -mno-ssse3 -mno-sse4.1 -mno-sse4.2 -ffunction-sections -fvisibility=hidden -g  -O0 -DDEBUG -D_DEBUG
    --     Linker flags (Release):
    --     Linker flags (Debug):
    --     ccache:                      NO
    --     Precompiled headers:         NO
    --     Extra dependencies:          Qt5::Test Qt5::Concurrent Qt5::OpenGL /usr/lib/x86_64-linux-gnu/libwebp.so /usr/lib/x86_64-linux-gnu/libjasper.so /usr/lib/x86_64-linux-gnu/libImath.so /usr/lib/x86_64-linux-gnu/libIlmImf.so /usr/lib/x86_64-linux-gnu/libIex.so /usr/lib/x86_64-linux-gnu/libHalf.so /usr/lib/x86_64-linux-gnu/libIlmThread.so /usr/lib/libgdal.so dc1394 xine avcodec-ffmpeg avformat-ffmpeg avutil-ffmpeg swscale-ffmpeg Qt5::Core Qt5::Gui Qt5::Widgets /usr/lib/x86_64-linux-gnu/hdf5/serial/lib/libhdf5.so /usr/lib/x86_64-linux-gnu/libpthread.so /usr/lib/x86_64-linux-gnu/libsz.so /usr/lib/x86_64-linux-gnu/libdl.so /usr/lib/x86_64-linux-gnu/libm.so vtkRenderingOpenGL vtkImagingHybrid vtkIOImage vtkCommonDataModel vtkCommonMath vtkCommonCore vtksys vtkCommonMisc vtkCommonSystem vtkCommonTransforms vtkCommonExecutionModel vtkDICOMParser vtkIOCore /usr/lib/x86_64-linux-gnu/libz.so vtkmetaio /usr/lib/x86_64-linux-gnu/libjpeg.so /usr/lib/x86_64-linux-gnu/libpng.so /usr/lib/x86_64-linux-gnu/libtiff.so vtkImagingCore vtkRenderingCore vtkCommonColor vtkFiltersExtraction vtkFiltersCore vtkFiltersGeneral vtkCommonComputationalGeometry vtkFiltersStatistics vtkImagingFourier vtkalglib vtkFiltersGeometry vtkFiltersSources vtkInteractionStyle vtkRenderingLOD vtkFiltersModeling vtkIOPLY vtkIOGeometry /usr/lib/x86_64-linux-gnu/libjsoncpp.so vtkFiltersTexture vtkRenderingFreeType /usr/lib/x86_64-linux-gnu/libfreetype.so vtkftgl vtkIOExport vtkRenderingAnnotation vtkImagingColor vtkRenderingContext2D vtkRenderingGL2PS vtkRenderingContextOpenGL /usr/lib/libgl2ps.so vtkRenderingLabel dl m pthread rt /usr/lib/x86_64-linux-gnu/libGLU.so /usr/lib/x86_64-linux-gnu/libGL.so tbb
    --     3rdparty dependencies:       libprotobuf
    --
    --   OpenCV modules:
    --     To be built:                 core flann hdf imgproc ml photo reg surface_matching video viz dnn freetype fuzzy imgcodecs shape videoio highgui objdetect plot superres ts xobjdetect xphoto bgsegm bioinspired dpm face features2d line_descriptor saliency text calib3d ccalib cvv datasets rgbd stereo tracking videostab xfeatures2d ximgproc aruco optflow phase_unwrapping stitching structured_light java python2 python3
    --     Disabled:                    world contrib_world
    --     Disabled by dependency:      -
    --     Unavailable:                 cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev cnn_3dobj matlab sfm
    --
    --   GUI:
    --     QT 5.x:                      YES (ver 5.5.1)
    --     QT OpenGL support:           YES (Qt5::OpenGL 5.5.1)
    --     OpenGL support:              YES (/usr/lib/x86_64-linux-gnu/libGLU.so /usr/lib/x86_64-linux-gnu/libGL.so)
    --     VTK support:                 YES (ver 6.2.0)
    --
    --   Media I/O:
    --     ZLib:                        /usr/lib/x86_64-linux-gnu/libz.so (ver 1.2.8)
    --     JPEG:                        /usr/lib/x86_64-linux-gnu/libjpeg.so (ver )
    --     WEBP:                        /usr/lib/x86_64-linux-gnu/libwebp.so (ver encoder: 0x0202)
    --     PNG:                         /usr/lib/x86_64-linux-gnu/libpng.so (ver 1.2.54)
    --     TIFF:                        /usr/lib/x86_64-linux-gnu/libtiff.so (ver 42 - 4.0.6)
    --     JPEG 2000:                   /usr/lib/x86_64-linux-gnu/libjasper.so (ver 1.900.1)
    --     OpenEXR:                     /usr/lib/x86_64-linux-gnu/libImath.so /usr/lib/x86_64-linux-gnu/libIlmImf.so /usr/lib/x86_64-linux-gnu/libIex.so /usr/lib/x86_64-linux-gnu/libHalf.so /usr/lib/x86_64-linux-gnu/libIlmThread.so (ver 2.2.0)
    --     GDAL:                        /usr/lib/libgdal.so
    --     GDCM:                        NO
    --
    --   Video I/O:
    --     DC1394 1.x:                  NO
    --     DC1394 2.x:                  YES (ver 2.2.4)
    --     FFMPEG:                      YES
    --       avcodec:                   YES (ver 56.60.100)
    --       avformat:                  YES (ver 56.40.101)
    --       avutil:                    YES (ver 54.31.100)
    --       swscale:                   YES (ver 3.1.101)
    --       avresample:                NO
    --     GStreamer:                   NO
    --     OpenNI:                      NO
    --     OpenNI PrimeSensor Modules:  NO
    --     OpenNI2:                     NO
    --     PvAPI:                       NO
    --     GigEVisionSDK:               NO
    --     Aravis SDK:                  NO
    --     UniCap:                      NO
    --     UniCap ucil:                 NO
    --     V4L/V4L2:                    NO/YES
    --     XIMEA:                       NO
    --     Xine:                        YES (ver 1.2.6)
    --     gPhoto2:                     NO
    --
    --   Parallel framework:            TBB (ver 4.4 interface 9002)
    --
    --   Other third-party libraries:
    --     Use IPP:                     9.0.1 [9.0.1]
    --          at:                     /home/me/code/myproject/OpenCV-3.2.0/build/3rdparty/ippicv/ippicv_lnx
    --     Use IPP Async:               NO
    --     Use VA:                      NO
    --     Use Intel VA-API/OpenCL:     NO
    --     Use Lapack:                  NO
    --     Use Eigen:                   YES (ver 3.2.92)
    --     Use Cuda:                    NO
    --     Use OpenCL:                  YES
    --     Use OpenVX:                  NO
    --     Use custom HAL:              NO
    --
    --   OpenCL:                        <dynamic loading="loading" of="of" opencl="opencl" library="library">
    --     Include path:                /home/me/code/myproject/OpenCV-3.2.0/3rdparty/include/opencl/1.2
    --     Use AMDFFT:                  NO
    --     Use AMDBLAS:                 NO
    --
    --   Python 2:
    --     Interpreter:                 /home/me/.envs/myenv/bin/python (ver 2.7.12)
    --     Libraries:                   /usr/lib/x86_64-linux-gnu/libpython2.7.so (ver 2.7.12)
    --     numpy:                       /home/me/.envs/myenv/local/lib/python2.7/site-packages/numpy/core/include (ver 1.13.1)
    --     packages path:               lib/python2.7/site-packages
    --
    --   Python 3:
    --     Interpreter:                 /usr/bin/python3 (ver 3.5.2)
    --     Libraries:                   /usr/lib/x86_64-linux-gnu/libpython3.5m.so (ver 3.5.2)
    --     numpy:                       /usr/lib/python3/dist-packages/numpy/core/include (ver 1.11.0)
    --     packages path:               lib/python3.5/dist-packages
    --
    --   Python (for build):            /home/me/.envs/myenv/bin/python
    --
    --   Java:
    --     ant:                         /usr/bin/ant (ver 1.9.6)
    --     JNI:                         /usr/lib/jvm/default-java/include /usr/lib/jvm/default-java/include/linux /usr/lib/jvm/default-java/include
    --     Java wrappers:               YES
    --     Java tests:                  YES
    --
    --   Matlab:                        Matlab not found or implicitly disabled
    --
    --   Documentation:
    --     Doxygen:                     /usr/bin/doxygen (ver 1.8.11)
    --
    --   Tests and samples:
    --     Tests:                       YES
    --     Performance tests:           YES
    --     C/C++ Examples:              YES
    --
    --   Install path:                  /usr/local
    --
    --   cvconfig.h is in:              /home/me/code/myproject/OpenCV-3.2.0/build
    -- -----------------------------------------------------------------
    --
    </dynamic>

    Unfortunately, while this works and I can import cv2 in the shell, it cannot read video using the above script, probably due to incorrect compilation or linking of ffmpeg ? The confusing part is the system-wide installation of OpenCV works fine, even without ffmpeg installed !

    What am I doing wrong ? How can I get OpenCV working with a virtualenv ?

    ====

    EDIT : Running the C++ video writing example has this result :

    $ cd /home/me/code/myproject/OpenCV-3.2.0/build/bin
    $ ./cpp-tutorial-video-write ../../samples/data/vtest.avi R Y
    ------------------------------------------------------------------------------
    This program shows how to write video files.
    You can extract the R or G or B color channel of the input video.
    Usage:
    ./video-write  [ R | G | B] [Y | N]
    ------------------------------------------------------------------------------

    OpenCV: FFMPEG: tag 0xffffffff/'����' is not found (format 'avi / AVI (Audio Video Interleaved)')'

    (cpp-tutorial-video-write:19523): GStreamer-CRITICAL **: gst_element_make_from_uri: assertion 'gst_uri_is_valid (uri)' failed
    OpenCV Error: Unsupported format or combination of formats (Gstreamer Opencv backend does not support this codec.) in CvVideoWriter_GStreamer::open, file /home/me/code/myproject/OpenCV-3.2.0/modules/videoio/src/cap_gstreamer.cpp, line 1388
    VIDEOIO(cvCreateVideoWriter_GStreamer(filename, fourcc, fps, frameSize, is_color)): raised OpenCV exception:

    /home/me/code/myproject/OpenCV-3.2.0/modules/videoio/src/cap_gstreamer.cpp:1388: error: (-210) Gstreamer Opencv backend does not support this codec. in function CvVideoWriter_GStreamer::open

    Could not open the output video for write: ../../samples/data/vtest.avi

    And the opencv_test_videoio unit test reports the following : https://pastebin.com/q4mf224Q

    However, running the c++ video starter example DOES work, with the following command and output, I can see the webcam working and streaming video in the highgui interface :

    $ ./cpp-example-videocapture_starter 0
    VIDEOIO ERROR: V4L: device 0: Unable to query number of channels
    (ERROR)icvOpenAVI_XINE(): Unable to initialize video driver.
    GStreamer: Error opening bin: no element "0"
    press space to save a picture. q or esc to quit
    init done
    opengl support available