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Autres articles (96)
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MediaSPIP 0.1 Beta version
25 avril 2011, parMediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
The zip file provided here only contains the sources of MediaSPIP in its standalone version.
To get a working installation, you must manually install all-software dependencies on the server.
If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...) -
Multilang : améliorer l’interface pour les blocs multilingues
18 février 2011, parMultilang 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. -
ANNEXE : Les plugins utilisés spécifiquement pour la ferme
5 mars 2010, parLe site central/maître de la ferme a besoin d’utiliser plusieurs plugins supplémentaires vis à vis des canaux pour son bon fonctionnement. le plugin Gestion de la mutualisation ; le plugin inscription3 pour gérer les inscriptions et les demandes de création d’instance de mutualisation dès l’inscription des utilisateurs ; le plugin verifier qui fournit une API de vérification des champs (utilisé par inscription3) ; le plugin champs extras v2 nécessité par inscription3 (...)
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Command build failed ndk
1er janvier 2021, par ALI RAZAI want to integrate ffmpeg lib in my android app . So i am using ndk ,but i am stuck on this issue,I dont know why the error is appearing ,Thanks in advance ;


It is the gradle code that i am using in my app and also the ffmpeg-android-maker path is provided


plugins {
id 'com.android.application'





android 
compileSdkVersion 30
buildToolsVersion "30.0.3"


defaultConfig {
 applicationId "com.reactive.myapplication"
 minSdkVersion 16
 targetSdkVersion 30
 versionCode 1
 versionName "1.0"

 testInstrumentationRunner "androidx.test.runner.AndroidJUnitRunner"
 externalNativeBuild {
 cmake {
 cppFlags ""
 }
 }
}
flavorDimensions "market"
productFlavors {
 google {
 dimension "market"
 ndk {
 // Since the App Bundle is used, there is no problem in packaging all these ABIs
 abiFilters 'x86', 'x86_64', 'armeabi-v7a', 'arm64-v8a'
 }
 }
 amazon {
 dimension "market"
 applicationIdSuffix ".amzn"
 ndk {
 // Amazon Appstore doesn't support multiple APKs for non-Amazon devices.
 // There is no point in x86 support here, as the majority of devices with the
 // Amazon Appstore are ARM-based. And it seems to be a common practice for other
 // apps in this market.
 abiFilters 'armeabi-v7a'
 }
 }
 huawei {
 dimension "market"
 applicationIdSuffix ".huawei"
 ndk {
 // Huawei App Gallery supports App Bundle format
 abiFilters 'x86', 'x86_64', 'armeabi-v7a', 'arm64-v8a'
 }
 }
}
sourceSets {
 main {
 // let gradle pack the shared library into the apk
 jniLibs.srcDirs = ['../ffmpeg-android-maker/output/lib']
 }
}

bundle {
 language {
 enableSplit = true
 }
 density {
 enableSplit = true
 }
 abi {
 enableSplit = true
 }
}

buildTypes {
 release {
 minifyEnabled false
 proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro'
 }
}
externalNativeBuild {
 cmake {
 path "src/main/cpp/CMakeLists.txt"
 version "3.10.2"
 }
}
compileOptions {
 sourceCompatibility JavaVersion.VERSION_1_8

 targetCompatibility JavaVersion.VERSION_1_8
}





dependencies


implementation 'androidx.appcompat:appcompat:1.1.0'
implementation 'com.google.android.material:material:1.1.0'
implementation 'androidx.constraintlayout:constraintlayout:1.1.3'
testImplementation 'junit:junit:4.+'
androidTestImplementation 'androidx.test.ext:junit:1.1.1'
androidTestImplementation 'androidx.test.espresso:espresso-core:3.2.0'







And this is error i am facing :
Build command failed.
Error while executing process /home/ali/Android/Sdk/cmake/3.10.2.4988404/bin/ninja with arguments -C /home/ali/AndroidStudioProjects/FfmpegApp/app/.cxx/cmake/amazonDebug/armeabi-v7a native-lib
ninja : Entering directory `/home/ali/AndroidStudioProjects/FfmpegApp/app/.cxx/cmake/amazonDebug/armeabi-v7a'


ninja : error : '/home/ali/AndroidStudioProjects/FfmpegApp/app/src/main/ffmpeg-android-maker/output/lib/armeabi-v7a/libavutil.so', needed by '/home/ali/AndroidStudioProjects/FfmpegApp/app/build/intermediates/cmake/amazonDebug/obj/armeabi-v7a/libnative-lib.so', missing and no known rule to make it


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AWS elastic beanstalk UnhandledPromiseRejectionWarning : Cannot find ffprobe
1er janvier 2021, par Ali AhmedUsing elasticbeanstalk with Node.js 10 running on 64bit Amazon Linux 2/5.2.3. I have a packages.config file under .ebextensions folder.


packages:
 yum:
 ImageMagick: []
 ImageMagick-devel: []
commands:
 01-wget:
 command: "wget -O /tmp/ffmpeg.tar.xz http://ffmpeg.org/releases/ffmpeg-4.1.tar.gz"
 02-mkdir:
 command: "if [ ! -d /opt/ffmpeg ] ; then mkdir -p /opt/ffmpeg; fi"
 03-tar:
 command: "tar xvf /tmp/ffmpeg.tar.xz -C /opt/ffmpeg"
 04-ln:
 command: "if [[ ! -f /usr/bin/ffmpeg ]] ; then ln -sf /opt/ffmpeg/ffmpeg-4.1/ffmpeg /usr/bin/ffmpeg; fi"
 05-ln:
 command: "if [[ ! -f /usr/bin/ffprobe ]] ; then ln -sf /opt/ffmpeg/ffmpeg-4.1/ffprobe /usr/bin/ffprobe; fi"
 06-pecl:
 command: "if [ `pecl list | grep imagick` ] ; then pecl install -f imagick; fi"



I am using fluent-ffmpeg@2.1.2 module for saving screenshot.


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Generating number of thumbnails depending on video size using AWS MediaConvert
1er décembre 2020, par sakhunzaiAfter reading this article I get the sense that AWS media convert job template cannot be re-used to generate thumbnails of arbitrary video size. The article assumes that we know the size/duration of video uploaded upfront hence the number of thumbnails we desire.


What I am looking for is to generate a random number of thumbnails based of video size (e.g large number of thumbnails for large video and small number of thumbnails for small video). I approached this solution using lambda trigger and ffmpeg lambda layer but lambda function timeouts (15 minutes max) for videos larger than 150MB (since it takes time to read the video from the s3 bucket).


What are my options to process large number of video , generate a variable number of thumbnails, merge those thumbs to generate a sprite ?


I tried lambda trigger with ffmpeg/ffprob to generate sprite, but that has timeout issue. Now I have setup a cloud watch event rule to trigger lambda function on mediaconvert job status change( completed)
and merge the thumbs to generate sprite, which seems much lighter but I need an arbitrary number of thumbs.