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#3 The Safest Place
16 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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#4 Emo Creates
15 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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#2 Typewriter Dance
15 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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#1 The Wires
11 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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ED-ME-5 1-DVD
11 octobre 2011, par
Mis à jour : Octobre 2011
Langue : English
Type : Audio
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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 (99)
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MediaSPIP 0.1 Beta version
25 avril 2011, parMediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
The zip file provided here only contains the sources of MediaSPIP in its standalone version.
To get a working installation, you must manually install all-software dependencies on the server.
If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...) -
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 (...) -
Amélioration de la version de base
13 septembre 2013Jolie sélection multiple
Le plugin Chosen permet d’améliorer l’ergonomie des champs de sélection multiple. Voir les deux images suivantes pour comparer.
Il suffit pour cela d’activer le plugin Chosen (Configuration générale du site > Gestion des plugins), puis de configurer le plugin (Les squelettes > Chosen) en activant l’utilisation de Chosen dans le site public et en spécifiant les éléments de formulaires à améliorer, par exemple select[multiple] pour les listes à sélection multiple (...)
Sur d’autres sites (11319)
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Trying to grab video stream from a 802W device
1er juin 2015, par brentilA group of us in the RC hobby forums had started trying to use a device called the 802W, it takes RCA in and then broadcasts it back out over a WiFi you connect to via an Android or iOS device. They’re typically used for backup camera addon systems for vehicles. We want to use it to do FPV (First Person Video/View) with using smartphones instead of buying more expensive FPV goggles.
802W device example (plenty of clones online)
http://www.amazon.com/Wireless-Backup-Camera-Transmitter-Android/dp/B00LJPTJSY
The problem is you can only use their application WIFI_AVIN or WIFI_AVIN2 from the app stores to connect to it because they don’t publish the information about how to grab the stream data. We want to write our own apps that can use the stream to better show the information. We’ve tried using VLC to grab the stream from an Android phone or a Windows PC but we’ve had no success so far. I was hoping someone could look at the Wireshark outputs and might understand what they’re looking at better than I am. I "think" it’s a UDP multicast being broadcasted but I just don’t know enough to be sure. We’ve tried using VLC to connect to network streams directly on the device or from udp ://@ type addresses but I think part of the issue too might be we’re missing the file path of the stream file.
Attempting to reverse engineer their code for learning purposes showed that ffmpeg is inside a compiled .so library which also seems to be where the actual connection code happens which we were unable to dig into.
In the images 192.168.72.33 is my phone and 192.168.72.173 is the 802W device.
Image of what I believe is a UDP broadcast of the video information.
This is what the stream turns into when the device connects using the WIFI_AVIN application.
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swscale/aarch64 : use multiply accumulate and increase vector factor to 4
17 novembre 2019, par Sebastian Popswscale/aarch64 : use multiply accumulate and increase vector factor to 4
This patch implements ff_hscale_8_to_15_neon with NEON fused multiply accumulate
and bumps the vectorization factor from 2 to 4.
The speedup is of 25% on Graviton1 A1 instances based on A-72 cpus :$ ffmpeg -nostats -f lavfi -i testsrc2=4k:d=2 -vf bench=start,scale=1024x1024,bench=stop -f null -
before : t:0.040303 avg:0.040287 max:0.040371 min:0.039214
after : t:0.032168 avg:0.032215 max:0.033081 min:0.032146The speedup is of 39% on Graviton2 m6g instances based on Neoverse-N1 cpus :
$ ffmpeg -nostats -f lavfi -i testsrc2=4k:d=2 -vf bench=start,scale=1024x1024,bench=stop -f null -
before : t:0.019446 avg:0.019423 max:0.019493 min:0.019181
after : t:0.014015 avg:0.014096 max:0.015018 min:0.013971Tested with `make check` on aarch64-linux.
Signed-off-by : Sebastian Pop <spop@amazon.com>
Reviewed-by : Jean-Baptiste Kempf <jb@videolan.org>
Signed-off-by : Michael Niedermayer <michael@niedermayer.cc> -
FFmpeg transcode GIF into Mp4 and Mp4 to AVI using GPU
9 octobre 2023, par CristianI'm trying to convert GIF animated to mp4 and mp4 to AVI with FFmpeg.


I started to use just the CPU, but I have to process millions of GIFs/mp4 content pieces. So, I started to have a lot of errors processing them, and it ended as a bottleneck. Therefore, I'm trying to use GPU to process the videos.


Converting GIF to mp4 with CPU, I run the following command :


ffmpeg -i animated.gif -movflags faststart -pix_fmt yuv420p -vf "scale=trunc(iw/2)*2:trunc(ih/2)*2" video.mp4



Using the GPU I'm trying the following :


ffmpeg
 -y
 -hwaccel nvdec
 -hwaccel_output_format cuda
 -i gifInputPath
 -threads 1
 -filter_threads 1
 -c:v h264_nvenc
 -vf hwupload_cuda,scale_cuda=-2:320:240:format=yuv420p
 -gpu 0
 mp4VideoPath



The above command generates an exit status 1.


The following is the dmesg command log


Converting mp4 videos to AVI videos I'm running the following command


ffmpeg
-i videoInputPath
-vcodec rawvideo
-pix_fmt yuv420p
-acodec pcm_s16le
-ar 44100
-ac 2
-s 320x240
-r 4
-f avi
aviOutputVideoPath



For GPU I tried :


ffmpeg
 -y
 -hwaccel cuda
 -hwaccel_output_format cuda
 -i videoInputPath
 -threads 1
 -filter_threads 1
 -c:a pcm_s16le
 -ac 2
 -ar 44100
 -c:v h264_nvenc
 -vf hwupload_cudascale_cuda=-2:320:240:format=yuv420p
 -r 4
 -f avi
 -gpu 0
 aviOutputVideoPath



The following is the dmseg output is log


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What should be the best command for converting the GIF into Mp4 and Mp4 into AVI based on CPU configuration using the GPU(Amazon Nvidia t4) for best performance, low CPU, and moderated GPU consumption ?


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What are the best suggestions to Process these content pieces concurrently using GPU ?








Note : I'm using Golang to execute the FFmpeg commands.


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