
Recherche avancée
Médias (16)
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#7 Ambience
16 octobre 2011, par
Mis à jour : Juin 2015
Langue : English
Type : Audio
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#6 Teaser Music
16 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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#5 End Title
16 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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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
Autres articles (16)
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Encoding and processing into web-friendly formats
13 avril 2011, parMediaSPIP automatically converts uploaded files to internet-compatible formats.
Video files are encoded in MP4, Ogv and WebM (supported by HTML5) and MP4 (supported by Flash).
Audio files are encoded in MP3 and Ogg (supported by HTML5) and MP3 (supported by Flash).
Where possible, text is analyzed in order to retrieve the data needed for search engine detection, and then exported as a series of image files.
All uploaded files are stored online in their original format, so you can (...) -
Keeping control of your media in your hands
13 avril 2011, parThe vocabulary used on this site and around MediaSPIP in general, aims to avoid reference to Web 2.0 and the companies that profit from media-sharing.
While using MediaSPIP, you are invited to avoid using words like "Brand", "Cloud" and "Market".
MediaSPIP is designed to facilitate the sharing of creative media online, while allowing authors to retain complete control of their work.
MediaSPIP aims to be accessible to as many people as possible and development is based on expanding the (...) -
Other interesting software
13 avril 2011, parWe don’t claim to be the only ones doing what we do ... and especially not to assert claims to be the best either ... What we do, we just try to do it well and getting better ...
The following list represents softwares that tend to be more or less as MediaSPIP or that MediaSPIP tries more or less to do the same, whatever ...
We don’t know them, we didn’t try them, but you can take a peek.
Videopress
Website : http://videopress.com/
License : GNU/GPL v2
Source code : (...)
Sur d’autres sites (4222)
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Read H264 streaming from Elp H264 with OpenCV + Pyhton
15 janvier 2017, par Francesco PaissanI’m trying to read an udp streaming of a H264 encoded image. The software structure is like follows :
On a BeagleBoneBlack (Ubuntu 16.04) I’ve an Elp H264 cam (see here : https://www.amazon.com/ELP-Support-Android-Windows-Surveillance/dp/B00VDSBH9G ). I stream frames with ffmpeg on a Unicast UDP Stream.
I want to read this images from python and opencv to be able to process them.
I tried with this simple code to see if the cap is opened or not :
import cv2
try:
cap = cv2.VideoCapture("udp://localhost:1234/")
cap.set(CV_CAP_PROP_FOURCC, CV_FOURCC('H', '2', '6', '4'));
except Exception, e:
print str(e)But when I run this script python says :
DtsGetHWFeatures : Create File Failed DtsGetHWFeatures : Create File
Failed Running DIL (3.22.0) Version DtsDeviceOpen : Opening HW in mode
0 DtsDeviceOpen : Create File Failed libva info : VA-API version 0.38.1
libva info : va_getDriverName() returns -1 libva error :
va_getDriverName() failed with unknown libva error,driver_name=(null)
libva info : VA-API version 0.38.1 libva info : va_getDriverName()
returns -1 libva error : va_getDriverName() failed with unknown libva
error,driver_name=(null) libva info : VA-API version 0.38.1 libva info :
va_getDriverName() returns -1 libva error : va_getDriverName() failed
with unknown libva error,driver_name=(null) libva info : VA-API version
0.38.1 libva info : va_getDriverName() returns -1 libva error : va_getDriverName() failed with unknown libva error,driver_name=(null)
GStreamer Plugin : Embedded video playback halted ; module vaapidecode
reported : Could not initialize supporting library. OpenCV
Error : Unspecified error (GStreamer : unable to start pipeline ) in
cvCaptureFromCAM_GStreamer, file /builddir/build/BUILD/opencv-
2.4.12.3/modules/highgui/src/cap_gstreamer.cpp, line 816 /builddir/build/BUILD/opencv-2.4.12.3/modules/highgui/src/cap_gstreamer.cpp:816 :
error : (-2) GStreamer : unable to start pipeline in function
cvCaptureFromCAM_GStreamerCan anybody help me ?
Thanks,
Francesco.
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Read H264 streaming from Elp H264 with OpenCV + Python
3 février 2017, par Francesco PaissanI’m trying to read an udp streaming of a H264 encoded image. The software structure is like follows :
On a BeagleBoneBlack (Ubuntu 16.04) I’ve an Elp H264 cam (see here : https://www.amazon.com/ELP-Support-Android-Windows-Surveillance/dp/B00VDSBH9G ). I stream frames with ffmpeg on a Unicast UDP Stream.
I want to read this images from python and opencv to be able to process them.
I tried with this simple code to see if the cap is opened or not :
import cv2
try:
cap = cv2.VideoCapture("udp://localhost:1234/")
cap.set(CV_CAP_PROP_FOURCC, CV_FOURCC('H', '2', '6', '4'));
except Exception, e:
print str(e)But when I run this script python says :
DtsGetHWFeatures : Create File Failed DtsGetHWFeatures : Create File
Failed Running DIL (3.22.0) Version DtsDeviceOpen : Opening HW in mode
0 DtsDeviceOpen : Create File Failed libva info : VA-API version 0.38.1
libva info : va_getDriverName() returns -1 libva error :
va_getDriverName() failed with unknown libva error,driver_name=(null)
libva info : VA-API version 0.38.1 libva info : va_getDriverName()
returns -1 libva error : va_getDriverName() failed with unknown libva
error,driver_name=(null) libva info : VA-API version 0.38.1 libva info :
va_getDriverName() returns -1 libva error : va_getDriverName() failed
with unknown libva error,driver_name=(null) libva info : VA-API version
0.38.1 libva info : va_getDriverName() returns -1 libva error : va_getDriverName() failed with unknown libva error,driver_name=(null)
GStreamer Plugin : Embedded video playback halted ; module vaapidecode
reported : Could not initialize supporting library. OpenCV
Error : Unspecified error (GStreamer : unable to start pipeline ) in
cvCaptureFromCAM_GStreamer, file /builddir/build/BUILD/opencv-
2.4.12.3/modules/highgui/src/cap_gstreamer.cpp, line 816 /builddir/build/BUILD/opencv-2.4.12.3/modules/highgui/src/cap_gstreamer.cpp:816 :
error : (-2) GStreamer : unable to start pipeline in function
cvCaptureFromCAM_GStreamerCan anybody help me ?
Thanks,
Francesco.
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FFmpeg transcoding on Lambda results in unusable (static) audio
17 mai 2020, par jmkmayI'd like to move towards serverless for audio transcoding routines in AWS. I've been trying to setup a Lambda function to do just that ; execute a static FFmpeg binary and re-upload the resulting audio file. The static binary I'm using is here.



The Lambda function I'm using in Python looks like this :



import boto3

s3client = boto3.client('s3')
s3resource = boto3.client('s3')

import json
import subprocess 

from io import BytesIO

import os

os.system("cp -ra ./bin/ffmpeg /tmp/")
os.system("chmod -R 775 /tmp")

def lambda_handler(event, context):

 bucketname = event["Records"][0]["s3"]["bucket"]["name"]
 filename = event["Records"][0]["s3"]["object"]["key"]

 audioData = grabFromS3(bucketname, filename)

 with open('/tmp/' + filename, 'wb') as f:
 f.write(audioData.read())

 os.chdir('/tmp/')

 try:
 process = subprocess.check_output(['./ffmpeg -i /tmp/joe_and_bill.wav /tmp/joe_and_bill.aac'], shell=True, stderr=subprocess.STDOUT)
 pushToS3(bucketname, filename)
 return process.decode('utf-8')
 except subprocess.CalledProcessError as e:
 return e.output.decode('utf-8'), os.listdir()


def grabFromS3(bucket, file):

 obj = s3client.get_object(Bucket=bucket, Key=file)
 data = BytesIO(obj['Body'].read())

 return(data)

def pushToS3(bucket, file):

 s3client.upload_file('/tmp/' + file[:-4] + '.aac', bucket, file[:-4] + '.aac')

 return




You can listen to the output of this here. WARNING : Turn your volume down or your ears will bleed.



The original file can be heard here.



Does anyone have any idea what might be causing the encoding errors ? It doesn't seem to be an issue with the file upload, since the md5 on the Lambda fs matches the MD5 of the uploaded file.



I've also tried building the static binary on an Amazon Linux instance in EC2, then zipping and porting it into the Lambda project, but the same issue persists.



I'm stumped ! :(