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Médias (1)
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The pirate bay depuis la Belgique
1er avril 2013, par
Mis à jour : Avril 2013
Langue : français
Type : Image
Autres articles (40)
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La file d’attente de SPIPmotion
28 novembre 2010, parUne file d’attente stockée dans la base de donnée
Lors de son installation, SPIPmotion crée une nouvelle table dans la base de donnée intitulée spip_spipmotion_attentes.
Cette nouvelle table est constituée des champs suivants : id_spipmotion_attente, l’identifiant numérique unique de la tâche à traiter ; id_document, l’identifiant numérique du document original à encoder ; id_objet l’identifiant unique de l’objet auquel le document encodé devra être attaché automatiquement ; objet, le type d’objet auquel (...) -
Emballe médias : à quoi cela sert ?
4 février 2011, parCe plugin vise à gérer des sites de mise en ligne de documents de tous types.
Il crée des "médias", à savoir : un "média" est un article au sens SPIP créé automatiquement lors du téléversement d’un document qu’il soit audio, vidéo, image ou textuel ; un seul document ne peut être lié à un article dit "média" ; -
Supporting all media types
13 avril 2011, parUnlike most software and media-sharing platforms, MediaSPIP aims to manage as many different media types as possible. The following are just a few examples from an ever-expanding list of supported formats : images : png, gif, jpg, bmp and more audio : MP3, Ogg, Wav and more video : AVI, MP4, OGV, mpg, mov, wmv and more text, code and other data : OpenOffice, Microsoft Office (Word, PowerPoint, Excel), web (html, CSS), LaTeX, Google Earth and (...)
Sur d’autres sites (7747)
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"Error configuring filters" FFmpeg issue while using Vogon
8 juillet 2018, par Jk425Prerequisites :
vogon, python 2.7, ffmpeg 2.3.6(newer versions caused + one more error :
"Error configuring complex filters" due to vogon outdate itself, i
suppose)sample_project/
├── adwords_video_csv.py
├── adwords_video_csv.pyc
├── assets
│ ├── car_ad.mp4
│ ├── README.txt
│ └── vogon.png
├── edit_config.py
├── output
│ └── README.txt
├── sample.csv
├── sample.json
├── sample_win.json
├── vogon.py
├── vogon.pyc
├── yt_upload.py
└── yt_upload.pycGetting such a message after executing command :
python vogon.py sample.json --noauth_local_webserver
Input #1, image2, from 'assets/vogon.png':
Duration: 00:00:00.04, start: 0.000000, bitrate: N/A
Stream #1:0: Video: png, rgba, 400x223 [SAR 2835:2835 DAR 400:223], 25 tbr, 25 tbn, 25 tbc
[Parsed_movie_1 @ 0x1b35480] Failed to avformat_open_input '/tmp/vogon_Ql9UW7.gif'
[AVFilterGraph @ 0x1af08e0] Error initializing filter 'movie' with args '/tmp/vogon_Ql9UW7.gif'
Error configuring filters.vogon.py -h:
positional arguments:
config_file Configuration JSON file
optional arguments:
-h, --help show this help message and exit
--auth_host_name AUTH_HOST_NAME
Hostname when running a local web server.
--noauth_local_webserver
Do not run a local web server.
--auth_host_port [AUTH_HOST_PORT [AUTH_HOST_PORT ...]]
Port web server should listen on.
--logging_level {DEBUG,INFO,WARNING,ERROR,CRITICAL}
Set the logging level of detail.
--youtube_upload Upload generated videos to YouTube
--preview_line PREVIEW_LINE
Generate only one video, for the given CSV line numberMakes me think it is an ffmgep issue. What could it be ?
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converting a "gif" to video using swift
3 décembre 2019, par James WoodrowI’ve looked around and found a few things here and there, mainly that I should be using AVAssetWriter to do this but I have 0 experience with this and video editing/creation so it doesn’t help me much since I can’t seem to find anything that does something I can modify easily (or not at my level of knowledge at least) so that it works as I intend it to.
I have an app which takes
n
photos everycft
(capture frame time which I get from a backend server) seconds (it’s a double for obvious reasons) I then display these frames using a UIImageView and the frames change everydft
(display frame time which I also get from a backend server and can be different fromcft
). Up until this point nothing complicated.now what is currently the workflow is that these frames are sent back to a server with any relevant information I want and then the server would use imagemagick to create a real gif file and ffmpeg to create a 15 seconds video using said gif.
the issue is this makes it so that my heroku server bills aren’t as low as I would like because of the limited memory on the dynos and the time it takes to generate these videos is of about 5-10 seconds I believe (not sure but it’s longer than I’d like)
So the idea I had was to make the app create the video since he already has all the information he needs for this, and then simply upload it with the rest of the frames and relevant data. Using bandwidth nowadays is much cheaper than buying extra processing power on a server.
- he has
n
frames to loop over - he has a float value representing how long each frame should last
dft
- he has a gpu or at least a much better cpu than the dynos heroku have to offer
I’ve also looked around to see if anyone made an extensive tutorial on how to use ffmpeg in swift but I still didn’t find anything at my level and I didn’t even find a tutorial per se, only some GitHub projects which were partially completed and/or without the original tutorial linked to understand the thought process.
I would appreciate any tips/code sample/tutorials on the subject.
I’m adding the ffmpeg command line equivalent to what I would love to be able to do (if I could use ffmpeg directly with iOS this could be nice too)
ffmpeg -framerate 100/13 -loop 1 -i frame%02d.png -c:v libx264 -r 100/13 -pix_fmt yuv420p -t 0:15 instagram.mp4
where basically I did
100 / (dft * 100)
for the input frame rate and just output at the same fps for 15 seconds. by the way if there are any ways to optimise this command to make it run faster without losing quality I might be able to keep the current way of functioning with heroku although I would still prefer some iOS solution. - he has
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dashenc : Don't output frameRates at both AS and Representation-level. Only output...
29 octobre 2017, par Anton Schubertdashenc : Don't output frameRates at both AS and Representation-level. Only output maxFrameRate at AS-level.
Fix conformance regarding section "3.2.4. Presence of Attributes and
Element" of the "Guidelines for Implementation : DASH-IF Interoperability
Points V4.1" (http://dashif.org/guidelines/)Signed-off-by : Anton Schubert <ischluff@mailbox.org>
Signed-off-by : Peter Große <pegro@friiks.de>
Signed-off-by : Michael Niedermayer <michael@niedermayer.cc>