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Autres articles (53)

  • Multilang : améliorer l’interface pour les blocs multilingues

    18 février 2011, par

    Multilang est un plugin supplémentaire qui n’est pas activé par défaut lors de l’initialisation de MediaSPIP.
    Après son activation, une préconfiguration est mise en place automatiquement par MediaSPIP init permettant à la nouvelle fonctionnalité d’être automatiquement opérationnelle. Il n’est donc pas obligatoire de passer par une étape de configuration pour cela.

  • 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

  • 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

Sur d’autres sites (10063)

  • Android NDK - ffmpeg header files not found by compiler

    7 septembre 2015, par markt

    I am trying to use the ffmpeg libraries with Android NDK in the experimental plugin.

    I am attempting to compile this example :
    https://github.com/roman10/android-ffmpeg-tutorial/blob/master/android-ffmpeg-tutorial01/jni/tutorial01.c

    My problem is that the header files are not being found by the compiler :

    Error:(13, 32) libavcodec/avcodec.h: No such file or directory

    I added flags to build.grade :

    cppFlags += "-ilibavcodec -ilibavutil -ilibavformat -ilibswscale"
    ldFlags += "-llibavcodec -llibavutil -llibavformat -llibswscale"

    Which seems to keep lint happy, but not the compiler. (Not sure if I have done this right ?)

    I Have added the header files to the /jni folder :
    Project folder structure

    And build.grade looks like this :

    apply plugin: 'com.android.model.application'
    model {
       android {
           compileSdkVersion = 23
           buildToolsVersion = "23.0.1"

           defaultConfig.with {
               applicationId = "roman10.tutorial.android_ffmpeg_tutorial01"
               minSdkVersion.apiLevel = 10
               targetSdkVersion.apiLevel = 23

           }
       }

       compileOptions.with {
           sourceCompatibility = JavaVersion.VERSION_1_7
           targetCompatibility = JavaVersion.VERSION_1_7
       }

       android.buildTypes {
           release {
               minifyEnabled = false
               proguardFiles += file('proguard-rules.pro')
           }
       }


       android.ndk {
           moduleName = "tutorial01"
           ldLibs += ["android","log","jnigraphics","z"]
           cppFlags += "-ilibavcodec -ilibavutil -ilibavformat -ilibswscale"
           ldFlags += "-llibavcodec -llibavutil -llibavformat -llibswscale"
       }
    }

    dependencies {
       compile fileTree(dir: 'libs', include: ['*.jar'])
       compile 'com.android.support:support-v4:23.0.1'
    }

    Thanks.

  • Latency issue with CMU Sphinx 4

    22 septembre 2015, par vijaym

    I have written the speech recognition application using CMU sphinx 4 and followed the details from this link. I have defined the Acoustic,Dictionary and Language Model as below

    configuration.setAcousticModelPath("resource:/edu/cmu/sphinx/models/en-us/en-us");

    configuration.setDictionaryPath("resource:/edu/cmu/sphinx/models/en-us/cmudict-en-us.dict");

    configuration.setLanguageModelPath("resource:/edu/cmu/sphinx/models/en-us/en-us.lm.bin");

    With the above configuration the 20 minutes of wav file takes almost close to 20 minutes to do the transcription.Hence than I tried to pass the user defined config.xml. I did n’t find the configuration manager option to pass the user defined config.xml with the current version of Sphinx4.Then I had written own recognizer by extending the AbstractSpeechRecognizer.java class(It may be useless) and changed few parameters of config.xml and I tried it but still no improvement.

    I have downloaded video and audio across multiple source and converted into WAV file using FFMPEG

    The command is as below

    ffmpeg -i input.mp3 -acodec pcm_s16le -ac 1 -ar 16000 output.wav

    Environment Details :

    Java 8

    Ubuntu 14.04

    RAM 4GB

    I5 Processor

    What I would like to know is, what I am missing here and how to improve the performance ?

  • Rails Thumbnails for videos being uploaded to S3

    20 octobre 2015, par Dani

    I have a rails application where I need to upload videos to an amazon s3 bucket alongwith their thumbnails. I am using ffmpeg to generate thumbnails and I am using carrierwave to handle video uploads. Here is my video uploader class

    class VideoUploader < CarrierWave::Uploader::Base
     include CarrierWave::Video
     storage :fog
     def store_dir
        "uploads/#{model.class.to_s.underscore}/#{mounted_as}/#{model.id}"
     end
     def extension_white_list
       %w(mp4 flv)
     end
    end

    The video uploads fine and the column for video url is set in videos table but I want to generate thumbnail and upload it as well. I know I have to use ffmpeg here but don’t exactly know how to do it.

    Any help will be appreciated.