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Personnaliser en ajoutant son logo, sa bannière ou son image de fond
5 septembre 2013, parCertains thèmes prennent en compte trois éléments de personnalisation : l’ajout d’un logo ; l’ajout d’une bannière l’ajout d’une image de fond ;
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Websites made with MediaSPIP
2 mai 2011, parThis page lists some websites based on MediaSPIP.
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Creating farms of unique websites
13 avril 2011, parMediaSPIP platforms can be installed as a farm, with a single "core" hosted on a dedicated server and used by multiple websites.
This allows (among other things) : implementation costs to be shared between several different projects / individuals rapid deployment of multiple unique sites creation of groups of like-minded sites, making it possible to browse media in a more controlled and selective environment than the major "open" (...)
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FFmpeg java.lang.UnsatisfiedLinkError dlopen failed : library "libavutil.so" not found in Vivo model device
9 février 2024, par sejnFacing a lot of crashes in the Android Vivo devices with the above error. Can I restrict this to the Vivo models in Android.


I'm using the implementation 'com.arthenica:mobile-ffmpeg-full:4.4'


Fatal Exception: java.lang.UnsatisfiedLinkError dlopen failed: library "libavutil.so" not found

init {
 try{
 System.loadLibrary("avutil")
 System.loadLibrary("avcodec")
 System.loadLibrary("avformat")
 System.loadLibrary("swscale")
 System.loadLibrary("avfilter")
 }
 catch (e:Exception){
 Log.i("error","${e.message}")
 }
}


In app/build.gradle




ndk 
abiFilters 'armeabi-v7a','arm64-v8a','x86','x86_64'




Note : If I migrate to the latest version ffmpeg-kit-full:6.0-2


Clarifications :


- 

- Shall I need to add this below in the code as well if I use the FFmpeg-kit
- If I did not need to use means, does it make any issues in the app ?.(i.e) if I removed
- Shall I need to add any additional loadlibrary in the init ?
- Is there any simple fix for the above error for Oppo alone without migrating ?
- Shall I need to add these architectures in ndk of my app ?














arm-v7a, arm-v7a-neon, arm64-v8a, x86 and x86_64 architectures




init {
 try{
 System.loadLibrary("avutil")
 System.loadLibrary("avcodec")
 System.loadLibrary("avformat")
 System.loadLibrary("swscale")
 System.loadLibrary("avfilter")
 }
 catch (e:Exception){
 Log.i("error","${e.message}")
 }
 }


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Model the loss of video codec
10 janvier 2024, par MonacoI want to use a neural network to model the error loss after video encoding. The modeling process is as follows :


I use ffmpeg to encode and decode video frames. Since this process is not implemented using tensors in PyTorch and cannot compute gradients, I have to separately implement a neural network in PyTorch to enable gradient backpropagation. However, it turns out that the neural network cannot effectively learn the video encoding.

I want to know if there are currently any implementations of video encoders or decoders that support backpropagation of gradients. I don't necessarily need to update the parameters of the encoder/decoder, but I want it to support gradient backpropagation so that I can use it for various tasks related to deep learning.


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avutil : introduce an Immersive Audio Model and Formats API
25 novembre 2023, par James Almer
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