
Recherche avancée
Médias (1)
-
Revolution of Open-source and film making towards open film making
6 octobre 2011, par
Mis à jour : Juillet 2013
Langue : English
Type : Texte
Autres articles (58)
-
Les autorisations surchargées par les plugins
27 avril 2010, parMediaspip core
autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs -
MediaSPIP v0.2
21 juin 2013, parMediaSPIP 0.2 est la première version de MediaSPIP stable.
Sa date de sortie officielle est le 21 juin 2013 et est annoncée ici.
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Comme pour la version précédente, 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 (...) -
Mise à disposition des fichiers
14 avril 2011, parPar défaut, lors de son initialisation, MediaSPIP ne permet pas aux visiteurs de télécharger les fichiers qu’ils soient originaux ou le résultat de leur transformation ou encodage. Il permet uniquement de les visualiser.
Cependant, il est possible et facile d’autoriser les visiteurs à avoir accès à ces documents et ce sous différentes formes.
Tout cela se passe dans la page de configuration du squelette. Il vous faut aller dans l’espace d’administration du canal, et choisir dans la navigation (...)
Sur d’autres sites (9065)
-
Trouble with hardware-assisted encoding/decoding via FFmpeg on Azure GPU vm's (ubuntu 16.04)
17 avril 2018, par user3776020I am trying to use NVIDIA hardware acceleration with FFmpeg/libav, but can’t get it to work correctly on Azure vm’s running Ubuntu 16.04. For a sample case, I am trying to do a simple decoding of an h264 video into a raw YUV file (as detailed here : https:// developer.nvidia.com/ffmpeg).
So far, I’ve tried it on NC-6, NC-12, and NV-6 machines (in different regions). In each of these instances, it would take about 30-45 seconds to process a single video frame. As a comparison, I also tried it on a P2.xlarge vm on AWS (which has very similar specs to the NC-6), which was able to process about 3000 frames in about 5 seconds. Has anyone else run into this issue with Azure machines, or has any idea why this would be the case ?
Here are the commands I used to install the necessary drivers/libraries/etc (I also verified that each machine as the same NVIDIA driver version installed - 375.51) :
CUDA_REPO_PKG=cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
wget -O /tmp/$CUDA_REPO_PKG
http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/$CUDA_REPO_PKGsudo dpkg -i /tmp/$CUDA_REPO_PKG
sudo apt-get update
sudo apt-get install -y cuda-drivers
sudo apt-get install -y cuda
sudo apt-get install -y nvidia-cuda-toolkit
[reboot]
sudo apt-get update
sudo apt-get upgrade -y
sudo apt-get dist-upgrade -y
[reboot]
git clone https://github.com/FFmpeg/FFmpeg.git
[download the latest video codec SDK from NVIDIA at : https://
developer.nvidia.com/designworks/video_codec_sdk/downloads/v7.1][unzipped codec, and copy header files from
/Video_Codec_SDK_7.1.9/Samples/common/inc/ into /usr/include/]cd /FFmpeg
./configure —enable-nonfree —disable-shared —enable-nvenc
—enable-cuda —enable-cuvid —enable-libnpp —extra-cflags=-Ilocal/include —extra-cflags=-I../nv_sdk —extra-ldflags=-L../nv_sdksudo make && sudo make install
For the FFmpeg command that I used to decode a sample movie file, I used the following :
sudo ffmpeg -vsync 0 -c:v h264_cuvid -i sample_vid.mp4 -f rawvideo outputvid.yuv
-
Trouble with hardware-assisted encoding/decoding via FFmpeg on Azure GPU vm's (ubuntu 16.04)
3 mai 2017, par user3776020I am trying to use NVIDIA hardware acceleration with FFmpeg/libav, but can’t get it to work correctly on Azure vm’s running Ubuntu 16.04. For a sample case, I am trying to do a simple decoding of an h264 video into a raw YUV file (as detailed here : https:// developer.nvidia.com/ffmpeg).
So far, I’ve tried it on NC-6, NC-12, and NV-6 machines (in different regions). In each of these instances, it would take about 30-45 seconds to process a single video frame. As a comparison, I also tried it on a P2.xlarge vm on AWS (which has very similar specs to the NC-6), which was able to process about 3000 frames in about 5 seconds. Has anyone else run into this issue with Azure machines, or has any idea why this would be the case ?
Here are the commands I used to install the necessary drivers/libraries/etc (I also verified that each machine as the same NVIDIA driver version installed - 375.51) :
CUDA_REPO_PKG=cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
wget -O /tmp/$CUDA_REPO_PKG
http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/$CUDA_REPO_PKGsudo dpkg -i /tmp/$CUDA_REPO_PKG
sudo apt-get update
sudo apt-get install -y cuda-drivers
sudo apt-get install -y cuda
sudo apt-get install -y nvidia-cuda-toolkit
[reboot]
sudo apt-get update
sudo apt-get upgrade -y
sudo apt-get dist-upgrade -y
[reboot]
git clone https://github.com/FFmpeg/FFmpeg.git
[download the latest video codec SDK from NVIDIA at : https://
developer.nvidia.com/designworks/video_codec_sdk/downloads/v7.1][unzipped codec, and copy header files from
/Video_Codec_SDK_7.1.9/Samples/common/inc/ into /usr/include/]cd /FFmpeg
./configure —enable-nonfree —disable-shared —enable-nvenc
—enable-cuda —enable-cuvid —enable-libnpp —extra-cflags=-Ilocal/include —extra-cflags=-I../nv_sdk —extra-ldflags=-L../nv_sdksudo make && sudo make install
For the FFmpeg command that I used to decode a sample movie file, I used the following :
sudo ffmpeg -vsync 0 -c:v h264_cuvid -i sample_vid.mp4 -f rawvideo outputvid.yuv
-
Compiling ffmpeg (-3.0) on windows 7 with nvenc
21 février 2016, par aviyaCheI’m trying to compile ffmpeg (version 3.0) with the following configuration :
./configure --prefix=ffmpeg/ --disable-yasm --enable-nonfree --enable-nvenc
But I get the following error :
ERROR: nvEncodeAPI.h not found.
I download the latest Nvidia video SDK (version 6.0.1), but I don’t know where to copy the
nvEncodeAPI.h
file.I have the following set up :
- windows 7 64 bit
- cygwin64 terminal
- Nvidia Quadro k4200, with driver 361.91