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Spoon - Revenge !
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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My Morning Jacket - One Big Holiday
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Langue : English
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Beastie Boys - Now Get Busy
15 septembre 2011, par
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Autres articles (88)
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List of compatible distributions
26 avril 2011, parThe 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 (...) -
MediaSPIP version 0.1 Beta
16 avril 2011, parMediaSPIP 0.1 beta est la première version de MediaSPIP décrétée comme "utilisable".
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Pour avoir une installation fonctionnelle, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...) -
Librairies et logiciels spécifiques aux médias
10 décembre 2010, parPour un fonctionnement correct et optimal, plusieurs choses sont à prendre en considération.
Il est important, après avoir installé apache2, mysql et php5, d’installer d’autres logiciels nécessaires dont les installations sont décrites dans les liens afférants. Un ensemble de librairies multimedias (x264, libtheora, libvpx) utilisées pour l’encodage et le décodage des vidéos et sons afin de supporter le plus grand nombre de fichiers possibles. Cf. : ce tutoriel ; FFMpeg avec le maximum de décodeurs et (...)
Sur d’autres sites (7684)
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iOS Recorded Video Playback on Android
1er mars 2015, par NiravI am trying to record video from iPhone device using UIImagePickerController and able to store it in MP4 format. The same video is uploaded on the Amazon S3 cloud.
When I try to play the same video on Android devices, it fails to play with an error, cannot play.
I searched forums/google and found that ffmpeg should be used to compress the video before uploading. I want to do the compression on the phone itself rather than on the server. Which is the best way to achieve this ?
Regards,
Nirav
-
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


-
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