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Médias (1)
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Spitfire Parade - Crisis
15 mai 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
Autres articles (96)
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Des sites réalisés avec MediaSPIP
2 mai 2011, parCette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page. -
Mediabox : ouvrir les images dans l’espace maximal pour l’utilisateur
8 février 2011, parLa visualisation des images est restreinte par la largeur accordée par le design du site (dépendant du thème utilisé). Elles sont donc visibles sous un format réduit. Afin de profiter de l’ensemble de la place disponible sur l’écran de l’utilisateur, il est possible d’ajouter une fonctionnalité d’affichage de l’image dans une boite multimedia apparaissant au dessus du reste du contenu.
Pour ce faire il est nécessaire d’installer le plugin "Mediabox".
Configuration de la boite multimédia
Dès (...) -
Support de tous types de médias
10 avril 2011Contrairement à beaucoup de logiciels et autres plate-formes modernes de partage de documents, MediaSPIP a l’ambition de gérer un maximum de formats de documents différents qu’ils soient de type : images (png, gif, jpg, bmp et autres...) ; audio (MP3, Ogg, Wav et autres...) ; vidéo (Avi, MP4, Ogv, mpg, mov, wmv et autres...) ; contenu textuel, code ou autres (open office, microsoft office (tableur, présentation), web (html, css), LaTeX, Google Earth) (...)
Sur d’autres sites (17585)
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how to scale server setup with ffmpeg for converting videos on website
26 mai 2020, par TomI have a website that will offer video conversion service with ffmpeg. Users will select some options and click a button to process and create a video. The site is currently using laravel/php. If there are many requests at the same time, how should I handle the scaling up ? How can it be done with traditional ISP ? How about cloud service, e.g. Amazon, Digital Ocean ?


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ffmpeg extract multiple frames from single input
10 octobre 2023, par Andrew StillI'm trying to dynamically extract multiple different frames from single video input. So the command I'm calling looking like this


ffmpeg -loglevel debug -hide_banner -t 13.269541 -y -ss 0 -i "input-s3-url" -ss 13.269541 -i "same-input-s3-url" -map 0:v -vframes 1 /tmp/ca4cd7a3159743938c5362c171ea2cae.0.png -map 1:v -vframes 1 /tmp/ca4cd7a3159743938c5362c171ea2cae.13.269541.png



It works and everything is good, until I deploy it to lambda. Even though I'm using 10gb of RAM it still failing with error. Locally it works like a charm but not on lambda. I'm not sure what the problem here but i'm regularly (not always) getting SIGSEGV




Double-checked memory usage and it's doesn't look like a reason, but I'm not sure how correct this number




I'm think maybe it's because it's making requests for each input, at least that's what I saw in debug mode, but still have no idea what's the problem here, would appreciate any suggestions/optimizations/help. Thanks


ffmpeg added on lambda using this layer - https://serverlessrepo.aws.amazon.com/applications/us-east-1/145266761615/ffmpeg-lambda-layer


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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