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  • List of compatible distributions

    26 avril 2011, par

    The table below is the list of Linux distributions compatible with the automated installation script of MediaSPIP. Distribution nameVersion nameVersion number Debian Squeeze 6.x.x Debian Weezy 7.x.x Debian Jessie 8.x.x Ubuntu The Precise Pangolin 12.04 LTS Ubuntu The Trusty Tahr 14.04
    If you want to help us improve this list, you can provide us access to a machine whose distribution is not mentioned above or send the necessary fixes to add (...)

  • (Dés)Activation de fonctionnalités (plugins)

    18 février 2011, par

    Pour gérer l’ajout et la suppression de fonctionnalités supplémentaires (ou plugins), MediaSPIP utilise à partir de la version 0.2 SVP.
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    10 mars 2010, par

    PHP et safe_mode activé
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Sur d’autres sites (9583)

  • cap.isOpened() : returns false in CentOS for Python 3 and OpenCV 3.1.0

    29 octobre 2017, par Mona Jalal

    So cap from opencv 3 doesn’t work in CentOS. I had no problem in OSX or Windows 7 which I tried initially.
    Here is the example code :

    import cv2
    cap = cv2.VideoCapture('/home/grad3/jalal/PycharmProjects/hw4_cs58‌​5/Concession_LAN_8‌​‌​00‌​k.mp4',cv2.CAP_FFMPEG)

    if not cap.isOpened():
       print('not opened')

    while True:
       ret,frame = cap.read()

       if ret == False:
           print('frame empty')
           break
       cv2.imshow('frame', frame)
       if cv2.waitKey(1) == ord('q'):
           break

    And I get :

    /usr/local/anaconda3/bin/python /home/grad3/jalal/PycharmProjects/hw4_cs585/test.py
    not opened
    frame empty

    Process finished with exit code 0

    I can open the video using ffplay vid_name and also here is the result of https://pastebin.com/YGk2DDCi here https://pastebin.com/HSyHSsEZ (ffmpeg codecs). How should I fix this ?

    I have opencv 3.1.0 and here’s some sys info.

    $ uname -a
    Linux goku.bu.edu 3.10.0-693.5.2.el7.x86_64 #1 SMP Fri Oct 20 20:32:50 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux

    and

    $ lsb_release -a
    LSB Version:    :core-4.1-amd64:core-4.1-noarch
    Distributor ID: CentOS
    Description:    CentOS Linux release 7.4.1708 (Core)
    Release:    7.4.1708
    Codename:   Core

    cv2. getBuildInformation()
    General configuration for OpenCV 3.1.0 =====================================
     Version control:               unknown

     Platform:
       Host:                        Linux 4.8.0-46-generic x86_64
       CMake:                       3.6.3
       CMake generator:             Unix Makefiles
       CMake build tool:            /usr/bin/gmake
       Configuration:               Release

     C/C++:
       Built as dynamic libs?:      YES
       C++ Compiler:                /opt/rh/devtoolset-2/root/usr/bin/c++  (ver 4.8.2)
       C++ flags (Release):         -I/cs/software/anaconda3/include    -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 -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 -fopenmp -O3 -DNDEBUG  -DNDEBUG
       C++ flags (Debug):           -I/cs/software/anaconda3/include    -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 -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 -fopenmp -g  -O0 -DDEBUG -D_DEBUG
       C Compiler:                  /opt/rh/devtoolset-2/root/usr/bin/cc
       C flags (Release):           -I/cs/software/anaconda3/include    -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 -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 -fopenmp -O3 -DNDEBUG  -DNDEBUG
       C flags (Debug):             -I/cs/software/anaconda3/include    -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 -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 -fopenmp -g  -O0 -DDEBUG -D_DEBUG
       Linker flags (Release):
       Linker flags (Debug):
       Precompiled headers:         YES
       Extra dependencies:          /cs/software/anaconda3/lib/libjpeg.so /cs/software/anaconda3/lib/libpng.so /cs/software/anaconda3/lib/libtiff.so /cs/software/anaconda3/lib/libhdf5.so /usr/lib64/librt.so /usr/lib64/libpthread.so /cs/software/anaconda3/lib/libz.so /usr/lib64/libdl.so /usr/lib64/libm.so dl m pthread rt
       3rdparty dependencies:       libwebp libjasper IlmImf libprotobuf

     OpenCV modules:
       To be built:                 core flann hdf imgproc ml photo reg surface_matching video dnn fuzzy imgcodecs shape videoio highgui objdetect plot superres xobjdetect xphoto bgsegm bioinspired dpm face features2d line_descriptor saliency text calib3d ccalib datasets rgbd stereo structured_light tracking videostab xfeatures2d ximgproc aruco optflow stitching python3
       Disabled:                    world contrib_world
       Disabled by dependency:      -
       Unavailable:                 cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev java python2 ts viz cvv matlab sfm

     GUI:
       QT:                          NO
       GTK+:                        NO
       GThread :                    NO
       GtkGlExt:                    NO
       OpenGL support:              NO
       VTK support:                 NO

     Media I/O:
       ZLib:                        /cs/software/anaconda3/lib/libz.so (ver 1.2.8)
       JPEG:                        /cs/software/anaconda3/lib/libjpeg.so (ver 80)
       WEBP:                        build (ver 0.3.1)
       PNG:                         /cs/software/anaconda3/lib/libpng.so (ver 1.6.27)
       TIFF:                        /cs/software/anaconda3/lib/libtiff.so (ver 42 - 4.0.6)
       JPEG 2000:                   build (ver 1.900.1)
       OpenEXR:                     build (ver 1.7.1)
       GDAL:                        NO

     Video I/O:
       DC1394 1.x:                  NO
       DC1394 2.x:                  NO
       FFMPEG:                      NO
         codec:                     NO
         format:                    NO
         util:                      NO
         swscale:                   NO
         resample:                  NO
         gentoo-style:              NO
       GStreamer:                   NO
       OpenNI:                      NO
       OpenNI PrimeSensor Modules:  NO
       OpenNI2:                     NO
       PvAPI:                       NO
       GigEVisionSDK:               NO
       UniCap:                      NO
       UniCap ucil:                 NO
       V4L/V4L2:                    YES/YES
       XIMEA:                       NO
       Xine:                        NO
       gPhoto2:                     NO

     Parallel framework:            OpenMP

     Other third-party libraries:
       Use IPP:                     9.0.1 [9.0.1]
            at:                     /opt/conda/conda-bld/opencv_1491943704081/work/opencv-3.1.0/3rdparty/ippicv/unpack/ippicv_lnx
       Use IPP Async:               NO
       Use VA:                      NO
       Use Intel VA-API/OpenCL:     NO
       Use Eigen:                   YES (ver 3.2.8)
       Use Cuda:                    NO
       Use OpenCL:                  NO
       Use custom HAL:              NO

     Python 2:
       Interpreter:                 (ver 3.5.3)

     Python 3:
       Interpreter:                 /cs/software/anaconda3/bin/python (ver 3.5.3)
       Libraries:                   /cs/software/anaconda3/lib/libpython3.5m.so (ver 3.5.3)
       numpy:                       /cs/software/anaconda3/lib/python3.5/site-packages/numpy/core/include (ver 1.12.1)
       packages path:               /cs/software/anaconda3/lib/python3.5/site-packages

     Python (for build):            

     Java:
       ant:                         NO
       JNI:                         NO
       Java wrappers:               NO
       Java tests:                  NO

     Matlab:                        NO

     Tests and samples:
       Tests:                       NO
       Performance tests:           NO
       C/C++ Examples:              NO

     Install path:                  /cs/software/anaconda3

     cvconfig.h is in:              /opt/conda/conda-bld/opencv_1491943704081/work/opencv-3.1.0/build
    -----------------------------------------------------------------

    UPDATE : tried .avi and .flv formats and the same problem !

  • [FFmpeg on Windows] : help me converting a set of .png files to a video file

    31 octobre 2016, par Stefano Fedele

    Hi everybody I am on windows 10, I installed FFMpeg and I would like to use it to convert 100 .png image files into a video file.

    I am using it via the prompt, which is the Windows console, and I am struggling with the syntax (which probability comes from Linux). I set the folder in which ffmpeg.exe is contained as a windows system path as suggested on many websites and I moved the prompt to the folders in which the image files are contained which is reported here :

    cd C:\video\pnts + ag 40 nm- during-tmpyp 10-12- laser power 7mw- kinetic100- exposure time 1s- gain

    I would like to convert the image files contained in this folder into a video file, the names of those image files are reported here :

    pnts + ag 40 nm- during-tmpyp 10-12- laser power 7mw- kinetic100- exposure time 1s- gain 20 001.png

    pnts + ag 40 nm- during-tmpyp 10-12- laser power 7mw- kinetic100- exposure time 1s- gain 20 002.png

    ...

    ...

    pnts + ag 40 nm- during-tmpyp 10-12- laser power 7mw- kinetic100- exposure time 1s- gain 20 100.png

    The number of frames per second whould be 2.

    I read on internet that I should have to type something like this

    ffmpeg -i image-%03d.png video.webm

    But it looks like there are a lot of variables to consider and all the times I try to set them and run FFmpeg I get an error from the prompt.
    Is there anyone who could suggest me the proper syntax, please ?

  • Users Flow for Piwik : discover the most popular paths your users take through your website or app

    14 décembre 2016, par InnoCraft — Plugins

    Hi, this is Tom from InnoCraft. The company of the makers of Piwik.

    Do you know how your visitors navigate through your website or app ? Well, we thought we did, but it turned out we didn’t until we actually were able to visualize those paths over several steps in an easy to understand graph. We were really surprised by some paths our users took every day. We discovered new popular pages where we totally under-estimated their importance. We found that many users actually had a problem on our home page so they had to reload it and we improved some popular paths we didn’t expect users were going. Now these paths are much more straight-forward for our users.

    -> Read the rest of the story on the Users Flow Marketplace page.

    What does the new Users Flow report look like ?

    Here is below just a little preview of the Users Flow report. The plugin includes more reports and goodies !

    Where do I get Users Flow ?

    Users Flow is available on the Piwik Marketplace :

    Users Flow is premium plugin for Piwik and comes with our 14 day money back guarantee and 1-click installation & updates (all product updates come for free).

    You can also signup for a free Piwik Cloud-hosted trial to discover the power of Users Flow !

    Happy Analytics,