
Recherche avancée
Médias (1)
-
The Great Big Beautiful Tomorrow
28 octobre 2011, par
Mis à jour : Octobre 2011
Langue : English
Type : Texte
Autres articles (52)
-
Websites made with MediaSPIP
2 mai 2011, parThis page lists some websites based on MediaSPIP.
-
Automated installation script of MediaSPIP
25 avril 2011, parTo overcome the difficulties mainly due to the installation of server side software dependencies, an "all-in-one" installation script written in bash was created to facilitate this step on a server with a compatible Linux distribution.
You must have access to your server via SSH and a root account to use it, which will install the dependencies. Contact your provider if you do not have that.
The documentation of the use of this installation script is available here.
The code of this (...) -
Other interesting software
13 avril 2011, parWe don’t claim to be the only ones doing what we do ... and especially not to assert claims to be the best either ... What we do, we just try to do it well and getting better ...
The following list represents softwares that tend to be more or less as MediaSPIP or that MediaSPIP tries more or less to do the same, whatever ...
We don’t know them, we didn’t try them, but you can take a peek.
Videopress
Website : http://videopress.com/
License : GNU/GPL v2
Source code : (...)
Sur d’autres sites (6036)
-
Amazon S3 : how to combine all images into a video ?
17 mars 2015, par scientifficI’m in my Rails app, I enable users to upload images, which get processed using ffmpeg to create a video slideshow.
I have this working locally, but am wondering how to do this when deploying the app using Heroku. In particular, I know Heroku has limited storage and has a read-only filesystem, so using Carrierwave without S3 or an external storage option doesn’t seem like an option.
But how would I run a task like the following using S3, where I combine all images into a video ?
The ffmpeg command is
ffmpeg -r 5 -i https://s3.amazonaws.com/[]/uploads/image/image_file/26/img%03d.jpg output.mp4 -y
And the AWS "folder" contains the following :
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img001.jpg
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img002.jpg
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img003.jpgWhen I try to do the following, I get an error with ffmpeg not knowing what to do with :
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img%03d.jpg
Note, this whole video compilation process works fine for me locally, so I know in theory it should work.
-
Intsallation of ffmpeg-php on Amazon Ec2 Linux AMI
1er décembre 2015, par TannyI am about two days into attempting to install FFMPEG-php with dependencies on an AWS EC2 instance running the Amazon Linux AMI. I’ve installed FFMPEG, and have read reportedly successful instructions on installing on Red Hat/Fedora. I have followed a number of tutorials and forum articles to do so, but have had no luck yet. As far as I can tell, the main problems are as followed :
I have installed all the dependency for ffmpeg-php. I run the following command successfully.
$wget http://downloads.sourceforge.net/project/ffmpeg-php/ffmpeg-php/0.6.0/ffmpeg-php-0.6.0.tbz2
$tar xvfj ffmpeg-php-0.6.0.tbz2
$phpizeBut when I run the following command it throw the error like below :
$sudo ./configure
configure : error : ffmpeg shared libraries not found. Make sure ffmpeg is compiled as shared libraries using the —enable-shared option}
I have used enable shared option with shared enable option but it throw the same error.
On to my question : Has anyone successfully installed FFMPEG-php on Amazon Linux ? Is there a fundamental incompatibility ? If anyone could share specific instructions on installing ffmpeg-php on amazon linux I would be greatly appreciative. Any other insights/experiences would also be appreciated.
-
NVIDIA accelerated ffmpeg (nvenc_h264 ) is dead slow on Amazon G2 instance
16 novembre 2015, par Abhijit PathakFFMPEG when compiled with following options give abysmal performance on Amazon G2 instance( g2.2xlarge, GRID K520) when compared with standalone Dell-Precision-T1700 (Quadro-k620)
"--enable-nonfree --enable-gpl --enable-version3 --enable-shared --enable pthreads [b]--enable-nvenc[/b] --enable-runtime-cpudetect --disable-doc --enable-libmp3lame"
Above ffmpeg binary took 66 seconds to transcode 5.22 mins BVE_Localize.mp4 file with following command.
time ffmpeg -y -i BVE_Localize.mp4 -strict -2 -vcodec nvenc_h264 -b 5000k -acodec aac -ab 256k -f mpegts BVELocalize.ts ( took 1m6.990s on G2)
When same ffmpeg command is executed on Dell-Precision-T1700 (Xeon Dual core, Quadro K620) based workstation takes 0m41.572s.
I would like ffmpeg to perform better on Amazon G2 instance. What do you think I might be missing ? My Amazon G2 instance configuration is Ubuntu 14.04 64 bit, Cuda 7.0 , 352.55 drivers, MSI disabled,NVIDIA SDK 5.0.1