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Rennes Emotion Map 2010-11
19 octobre 2011, par
Mis à jour : Juillet 2013
Langue : français
Type : Texte
Autres articles (25)
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XMP PHP
13 mai 2011, parDixit Wikipedia, XMP signifie :
Extensible Metadata Platform ou XMP est un format de métadonnées basé sur XML utilisé dans les applications PDF, de photographie et de graphisme. Il a été lancé par Adobe Systems en avril 2001 en étant intégré à la version 5.0 d’Adobe Acrobat.
Étant basé sur XML, il gère un ensemble de tags dynamiques pour l’utilisation dans le cadre du Web sémantique.
XMP permet d’enregistrer sous forme d’un document XML des informations relatives à un fichier : titre, auteur, historique (...) -
Use, discuss, criticize
13 avril 2011, parTalk to people directly involved in MediaSPIP’s development, or to people around you who could use MediaSPIP to share, enhance or develop their creative projects.
The bigger the community, the more MediaSPIP’s potential will be explored and the faster the software will evolve.
A discussion list is available for all exchanges between users. -
Installation en mode ferme
4 février 2011, parLe mode ferme permet d’héberger plusieurs sites de type MediaSPIP en n’installant qu’une seule fois son noyau fonctionnel.
C’est la méthode que nous utilisons sur cette même plateforme.
L’utilisation en mode ferme nécessite de connaïtre un peu le mécanisme de SPIP contrairement à la version standalone qui ne nécessite pas réellement de connaissances spécifique puisque l’espace privé habituel de SPIP n’est plus utilisé.
Dans un premier temps, vous devez avoir installé les mêmes fichiers que l’installation (...)
Sur d’autres sites (5168)
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how to install and run phpize
13 décembre 2016, par Hrishikesh ChoudhariI have been meaning to install ffmpeg as an extension to my php setup. So before I can install it, I need to
phpize
it. I installed php5-dev bysudo apt-get install php5-dev
But now when I run phpize I get the following error :phpize
Cannot find config.m4.
Make sure that you run '/usr/bin/phpize' in the top level source directory of the moduleThe location of my php.ini is
/usr/local/zend/etc/php.ini
From another online resource i tried this
sudo apt-get install autoconf automake libtool m4
But all of them are already installed.
Locate config.m4 didnt return anything.
Any pointers here how I can get phpize and thus, ffmpeg up and running ?
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FFmpeg similar images filtering into png
6 juillet 2020, par UdiI'm using FFmpeg on Mp4 and Avi videos, trying to output all the frames in configurable frame rate to png files using the following command :


./ffmpeg -i ~/Downloads/test.mp4 -vf mpdecimate=hi=1536:lo=640:frac=0.5,setpts=N/60/TB,fps=60/60 "/tmp/resultOutpu/(#%04d).png"



test.mp4 is a 10 seconds video of my face using the phone and I expect it to take 10 frames and drop 9 because it is much similar to the first frame. (The video is 1 pose)


The actual results it 10 frames of the actual first frame ! Meaning it actually using mpdecimate but it also creates 9 more frames of the first.


Is there any way I can filter them out ? So my png results will be only frames that not similar to the previous one ?


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How to upload object to a bucket in Google Cloud Platform from Python script
7 juillet 2016, par BryanThe goal of this script is to extract audio from a video file using ffmpeg and upload it into a bucket on Google Cloud Platform each time it is called. Eventually I will have to extract audio from a large list of videos, so ideally I would want my script to extract and subsequently upload it into the cloud.
My confusion is how to use GCP API to upload my object into a bucket. Any advice would be greatly appreciated !
Link for reference : https://cloud.google.com/storage/docs/json_api/v1/json-api-python-samples#setup-code
import subprocess
import sys
import re
fullVideo = sys.argv[1]
title = re.findall('^([^.]*).*', fullVideo)
title = str(title[0])
subprocess.call('ffmpeg -i ' + fullVideo + ' -vn -ab 128k ' + title + '.flac', shell = True)
def upload_object(bucket, filename, readers, owners):
service = create_service()
# This is the request body as specified:
# http://g.co/cloud/storage/docs/json_api/v1/objects/insert#request
body = {
'name': filename,
}
# If specified, create the access control objects and add them to the
# request body
if readers or owners:
body['acl'] = []
for r in readers:
body['acl'].append({
'entity': 'user-%s' % r,
'role': 'READER',
'email': r
})
for o in owners:
body['acl'].append({
'entity': 'user-%s' % o,
'role': 'OWNER',
'email': o
})
# Now insert them into the specified bucket as a media insertion.
# http://g.co/dev/resources/api-libraries/documentation/storage/v1/python/latest/storage_v1.objects.html#insert
with open(filename, 'rb') as f:
req = service.objects().insert(
bucket=bucket, body=body,
# You can also just set media_body=filename, but # for the sake of
# demonstration, pass in the more generic file handle, which could
# very well be a StringIO or similar.
media_body=http.MediaIoBaseUpload(f, 'application/octet-stream'))
resp = req.execute()
return resp