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Spoon - Revenge !
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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My Morning Jacket - One Big Holiday
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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Zap Mama - Wadidyusay ?
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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David Byrne - My Fair Lady
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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Beastie Boys - Now Get Busy
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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Granite de l’Aber Ildut
9 septembre 2011, par
Mis à jour : Septembre 2011
Langue : français
Type : Texte
Autres articles (35)
-
HTML5 audio and video support
13 avril 2011, parMediaSPIP uses HTML5 video and audio tags to play multimedia files, taking advantage of the latest W3C innovations supported by modern browsers.
The MediaSPIP player used has been created specifically for MediaSPIP and can be easily adapted to fit in with a specific theme.
For older browsers the Flowplayer flash fallback is used.
MediaSPIP allows for media playback on major mobile platforms with the above (...) -
Support audio et vidéo HTML5
10 avril 2011MediaSPIP utilise les balises HTML5 video et audio pour la lecture de documents multimedia en profitant des dernières innovations du W3C supportées par les navigateurs modernes.
Pour les navigateurs plus anciens, le lecteur flash Flowplayer est utilisé.
Le lecteur HTML5 utilisé a été spécifiquement créé pour MediaSPIP : il est complètement modifiable graphiquement pour correspondre à un thème choisi.
Ces technologies permettent de distribuer vidéo et son à la fois sur des ordinateurs conventionnels (...) -
De l’upload à la vidéo finale [version standalone]
31 janvier 2010, parLe chemin d’un document audio ou vidéo dans SPIPMotion est divisé en trois étapes distinctes.
Upload et récupération d’informations de la vidéo source
Dans un premier temps, il est nécessaire de créer un article SPIP et de lui joindre le document vidéo "source".
Au moment où ce document est joint à l’article, deux actions supplémentaires au comportement normal sont exécutées : La récupération des informations techniques des flux audio et video du fichier ; La génération d’une vignette : extraction d’une (...)
Sur d’autres sites (4300)
-
ffmpeg app using node occasionally crashes as file doesn't appear to be read correctly
31 mai 2022, par ZabsI have an simple Node application that allows me to pass an AWS S3 URL link to a file (in this case video files). It uses the FFMPEG library to read the video file and return data like codecs, duration, bitrate etc..


The script is called from PHP script which in turn send the data to the Node endpoint and passes the Amazon S3 URL to node. Sometimes for no obvious reasons the video file fails to return the expected values regarding container, codec, duration etc... and just returns '0'. But when I try the exact same file/request again it returns this data correctly e.g
container:mp4


I'm not sure but I think the script somehow needs the
createWriteStream
to be closed but I cannot be sure, the problem is the issue I have found doesn't happen all the time but sporadically so its hard to get to the issue when its difficult to replicate it.

Any ideas ?


router.post('/', async function(req, res) {
 const fileURL = new URL(req.body.file);
 var path = fileURL.pathname;
 path = 'tmp/'+path.substring(1); // removes the initial / from the path

 let file = fs.createWriteStream(path); // create the file locally
 const request = https.get(fileURL, function(response) {
 response.pipe(file);
 });
 
 // after file has saved
 file.on('finish', function () {
 var process = new ffmpeg(path);
 process.then(function (video) {
 let metadata = formatMetadata(video.metadata);

 res.send ({
 status: '200',
 data: metadata,
 errors: errors,
 response: 'success'
 });

 }, function (err) {
 console.warn('Error: ' + err);

 res.send ({
 status: '400',
 data: 'Something went wrong processing this video',
 response: 'fail',
 });
 });
 });

 file.on('error', function (err) {
 console.warn(err);
 });

});

function formatMetadata(metadata) {
 const data = {
 'video' : metadata.video,
 'audio' : metadata.audio,
 'duration' : metadata.duration
 };
 return data;
}



// Expected output


{"data":{"video":{"container":"mov","bitrate":400,"stream":0,"codec":"h264","resolution":{"w":1280,"h":720},"resolutionSquare":{"w":1280,"h":720},"aspect":{"x":16,"y":9,"string":"16:9","value":1.7777777777777777},"rotate":0,"fps":25,"pixelString":"1:1","pixel":1},"audio":{"codec":"aac","bitrate":"127","sample_rate":44100,"stream":0,"channels":{"raw":"stereo","value":2}},"duration":{"raw":"00:00:25.68","seconds":25}}



// Actual output


{"data":{"video":{"container":"","bitrate":0,"stream":0,"codec":"","resolution":{"w":0,"h":0},"resolutionSquare":{"w":0,"h":null},"aspect":{},"rotate":0,"fps":0,"pixelString":"","pixel":0},"audio":{"codec":"","bitrate":"","sample_rate":0,"stream":0,"channels":{"raw":"","value":""}},"duration":{"raw":"","seconds":0}}



Note - this happens sporadically


-
lavc/aarch64 : motion estimation functions in neon
26 juin 2022, par Swinney, Jonathanlavc/aarch64 : motion estimation functions in neon
- ff_pix_abs16_neon
- ff_pix_abs16_xy2_neonIn direct micro benchmarks of these ff functions verses their C implementations,
these functions performed as follows on AWS Graviton 3.ff_pix_abs16_neon :
pix_abs_0_0_c : 141.1
pix_abs_0_0_neon : 19.6ff_pix_abs16_xy2_neon :
pix_abs_0_3_c : 269.1
pix_abs_0_3_neon : 39.3Tested with :
./tests/checkasm/checkasm —test=motion —bench —disable-linux-perfSigned-off-by : Jonathan Swinney <jswinney@amazon.com>
Signed-off-by : Martin Storsjö <martin@martin.st>- [DH] libavcodec/aarch64/Makefile
- [DH] libavcodec/aarch64/me_cmp_init_aarch64.c
- [DH] libavcodec/aarch64/me_cmp_neon.S
- [DH] libavcodec/me_cmp.c
- [DH] libavcodec/me_cmp.h
- [DH] tests/checkasm/Makefile
- [DH] tests/checkasm/checkasm.c
- [DH] tests/checkasm/checkasm.h
- [DH] tests/checkasm/motion.c
- [DH] tests/fate/checkasm.mak
-
AWS EC2 and OpenCV with UDP consumer
22 juillet 2021, par NoobZikI have two EC2


- 

- A That grabs the video feed from Amazon Kinesis Video to send it into via UDP to B
- B the consumer which it will grab the UDP feed from the A






While debugging my opencv not grabbing the UDP feed, I suspect something is wrong with ffpmeg, so I am going to make sure that ffplay can read packets sent from A.


Now when I try to read udp packets with
ffplay {adress-ip-with-port}
I have the following error :

Could not initialize SDL - No available video device
(Did you set the DISPLAY variable?)



How do I fix this one since there is no display on EC2.


Also if it can help, this is my code for the consumer part


Create your views here.
from django.http import HttpResponse
from django.template import loader
from django.shortcuts import render
# from .models import Vehicule
import cv2
import threading
from django.views.decorators import gzip
from django.http import StreamingHttpResponse


@gzip.gzip_page
def webcam(request):
 try:
 cam = VideoCamera()
 return StreamingHttpResponse(gen(cam), content_type="multipart/x-mixed-replace;boundary=frame")
 except:
 pass
 return render(request, 'vebcam.html')

#capture video
class VideoCamera(object):
 def __init__(self):
 self.video = cv2.VideoCapture('udp://172.31.57.243:55055', cv2.CAP_FFMPEG)
 (self.grabbed, self.frame) = self.video.read()
 threading.Thread(target=self.update, args=()).start()

 def __del__(self):
 self.video.release()

 def get_frame(self):
 image = self.frame
 _, jpeg = cv2.imencode('.jpg', image)
 return jpeg.tobytes()

 def update(self):
 while True:
 (self.grabbed, self.frame) = self.video.read()

def gen(camera):
 while True:
 frame = camera.get_frame()
 yield (b'--frame\r\n'b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n\r\n')



It runs fine on local but not on EC2


This is the log that led me to check ffplay


Traceback (most recent call last):
 File "/usr/lib/python3.8/wsgiref/handlers.py", line 138, in run
 self.finish_response()
 File "/usr/lib/python3.8/wsgiref/handlers.py", line 183, in finish_response
 for data in self.result:
 File "/home/ubuntu/.local/lib/python3.8/site-packages/django/utils/text.py", line 304, in compress_sequence
 for item in sequence:
 File "/home/ubuntu/site/mysite/mysite/views.py", line 42, in gen
 frame = camera.get_frame()
 File "/home/ubuntu/site/mysite/mysite/views.py", line 33, in get_frame
 _, jpeg = cv2.imencode('.jpg', image)
cv2.error: OpenCV(4.5.3) /tmp/pip-req-build-xw6jtoah/opencv/modules/imgcodecs/src/loadsave.cpp:978: error: (-215:Assertion failed) !image.empty() in function 'imencode'