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The Great Big Beautiful Tomorrow
28 octobre 2011, par
Mis à jour : Octobre 2011
Langue : English
Type : Texte
Autres articles (33)
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Selection of projects using MediaSPIP
2 mai 2011, parThe examples below are representative elements of MediaSPIP specific uses for specific projects.
MediaSPIP farm @ Infini
The non profit organizationInfini develops hospitality activities, internet access point, training, realizing innovative projects in the field of information and communication technologies and Communication, and hosting of websites. It plays a unique and prominent role in the Brest (France) area, at the national level, among the half-dozen such association. Its members (...) -
Sélection de projets utilisant MediaSPIP
29 avril 2011, parLes exemples cités ci-dessous sont des éléments représentatifs d’usages spécifiques de MediaSPIP pour certains projets.
Vous pensez avoir un site "remarquable" réalisé avec MediaSPIP ? Faites le nous savoir ici.
Ferme MediaSPIP @ Infini
L’Association Infini développe des activités d’accueil, de point d’accès internet, de formation, de conduite de projets innovants dans le domaine des Technologies de l’Information et de la Communication, et l’hébergement de sites. Elle joue en la matière un rôle unique (...) -
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 (...)
Sur d’autres sites (4648)
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How to upload files to Azure Blob Stotage like FTP ?
25 janvier 2016, par CG-GuyI am able to upload files from my
ffmpeg
app to an FTP using this path :ftp://[user:password]@server[:port]/MyFolder/video/video.flv
How do I achieve the same thing in Azure Blob ? I have tried this path :
https://[account-name].blob.core.windows.net/video/video.flv /DestKey:[account-storage-key]
But that doesn’t seem to work. TCP connection shows the app is making a connection with the Azure account to the remote address
104.208.XXX.XX
and remote port443
. However, it drops the connection and starts attempts to reconnect repeatedly. It will then time out after countless attempts and crash the app. I have also tried/>
without success. The same thing happens. It attempts connecting to the remote address and port80
.The FFMPEG app has full access to firewall ports and the app communication shell show files are published without errors. System is a Server 2008 R2 unit on-site, not VM.
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Path to publish FFMPEG video files to Azure Blob Storage ?
25 janvier 2016, par CG-GuyPlease kindly help me get out of a bad situation with a very very unhappy client. I am using FFMPEG based app to publish video files to Azure Blob storage, but the files are not going through the network. FFMPEG app has full access to firewall ports. FFMPEG communication shell show files are published without errors. A look at TCP connections shows the app is making connection with Azure account remote address 104.208.XXX.XX and remote port 443. However, it drops the connection and starts repeating attempts over and over. It will then time out after countless attempts and crash the app. Here is my publish point. Is this the correct publish point for this kind of connection ? What is the proper connection string ? :
https://account-name.blob.core.windows.net/video/video.flv /DestKey :account-storage-key
I have also tried http:// without success. Same thing happens. It attempts connecting to remote address and port 80. Again, after several attempts it will timeout and crash. System is a Server 2008 R2 unit on-site, not VM. Your help is much appreciated. Thanks a lot !
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Trying to convert an mp3 file to a Numpy Array, and ffmpeg just hangs
5 juillet 2016, par RichI’m working on a music classification methodology with Scikit-learn, and the first step in that process is converting a music file to a numpy array.
After unsuccessfully trying to call ffmpeg from a python script, I decided to simply pipe the file in directly :
FFMPEG_BIN = "ffmpeg"
cwd = (os.getcwd())
dcwd = (cwd + "/temp")
if not os.path.exists(dcwd): os.makedirs(dcwd)
folder_path = sys.argv[1]
f = open("test.txt","a")
for f in glob.glob(os.path.join(folder_path, "*.mp3")):
ff = f.replace("./", "/")
print("Name: " + ff)
aa = (cwd + ff)
command = [ FFMPEG_BIN,
'-i', aa,
'-f', 's16le',
'-acodec', 'pcm_s16le',
'-ar', '22000', # ouput will have 44100 Hz
'-ac', '1', # stereo (set to '1' for mono)
'-']
pipe = sp.Popen(command, stdout=sp.PIPE, bufsize=10**8)
raw_audio = pipe.proc.stdout.read(88200*4)
audio_array = numpy.fromstring(raw_audio, dtype="int16")
print (str(audio_array))
f.write(audio_array + "\n")The problem is, when I run the file, it starts ffmpeg and then does nothing :
[mp3 @ 0x1446540] Estimating duration from bitrate, this may be inaccurate
Input #0, mp3, from '/home/don/Code/Projects/MC/Music/Spaz.mp3':
Metadata:
title : Spaz
album : Seeing souns
artist : N*E*R*D
genre : Hip-Hop
encoder : Audiograbber 1.83.01, LAME dll 3.96, 320 Kbit/s, Joint Stereo, Normal quality
track : 5/12
date : 2008
Duration: 00:03:50.58, start: 0.000000, bitrate: 320 kb/s
Stream #0:0: Audio: mp3, 44100 Hz, stereo, s16p, 320 kb/s
Output #0, s16le, to 'pipe:':
Metadata:
title : Spaz
album : Seeing souns
artist : N*E*R*D
genre : Hip-Hop
date : 2008
track : 5/12
encoder : Lavf56.4.101
Stream #0:0: Audio: pcm_s16le, 22000 Hz, mono, s16, 352 kb/s
Metadata:
encoder : Lavc56.1.100 pcm_s16le
Stream mapping:
Stream #0:0 -> #0:0 (mp3 (native) -> pcm_s16le (native))
Press [q] to stop, [?] for helpIt just sits there, hanging, for far longer than the song is. What am I doing wrong here ?,