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Richard Stallman et le logiciel libre
19 octobre 2011, par
Mis à jour : Mai 2013
Langue : français
Type : Texte
Autres articles (41)
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Publier sur MédiaSpip
13 juin 2013Puis-je poster des contenus à partir d’une tablette Ipad ?
Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir -
Ajouter notes et légendes aux images
7 février 2011, parPour pouvoir ajouter notes et légendes aux images, la première étape est d’installer le plugin "Légendes".
Une fois le plugin activé, vous pouvez le configurer dans l’espace de configuration afin de modifier les droits de création / modification et de suppression des notes. Par défaut seuls les administrateurs du site peuvent ajouter des notes aux images.
Modification lors de l’ajout d’un média
Lors de l’ajout d’un média de type "image" un nouveau bouton apparait au dessus de la prévisualisation (...) -
Librairies et binaires spécifiques au traitement vidéo et sonore
31 janvier 2010, parLes logiciels et librairies suivantes sont utilisées par SPIPmotion d’une manière ou d’une autre.
Binaires obligatoires FFMpeg : encodeur principal, permet de transcoder presque tous les types de fichiers vidéo et sonores dans les formats lisibles sur Internet. CF ce tutoriel pour son installation ; Oggz-tools : outils d’inspection de fichiers ogg ; Mediainfo : récupération d’informations depuis la plupart des formats vidéos et sonores ;
Binaires complémentaires et facultatifs flvtool2 : (...)
Sur d’autres sites (8134)
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AWS Lambda function for modify video
4 février 2017, par Gold FishI want to create a Lambda function that invoked whenever someone uploads to the S3 bucket. The purpose of the function is to take the uploaded file and if its a video file (mp4) so make a new file which is a preview of the last one (using ffmpeg). The Lambda function is written in nodejs.
I took the code here for reference, but I do something wrong for I get an error saying that no input specified for SetStartTime ://dependecies
var async = require('async');
var AWS = require('aws-sdk');
var util = require('util');
var ffmpeg = require('fluent-ffmpeg');
// get reference to S3 client
var s3 = new AWS.S3();
exports.handler = function(event, context, callback) {
// Read options from the event.
console.log("Reading options from event:\n", util.inspect(event, {depth: 5}));
var srcBucket = event.Records[0].s3.bucket.name;
// Object key may have spaces or unicode non-ASCII characters.
var srcKey =
decodeURIComponent(event.Records[0].s3.object.key.replace(/\+/g, " "));
var dstBucket = srcBucket;
var dstKey = "preview_" + srcKey;
// Sanity check: validate that source and destination are different buckets.
if (srcBucket == dstBucket) {
callback("Source and destination buckets are the same.");
return;
}
// Infer the video type.
var typeMatch = srcKey.match(/\.([^.]*)$/);
if (!typeMatch) {
callback("Could not determine the video type.");
return;
}
var videoType = typeMatch[1];
if (videoType != "mp4") {
callback('Unsupported video type: ${videoType}');
return;
}
// Download the video from S3, transform, and upload to a different S3 bucket.
async.waterfall([
function download(next) {
// Download the video from S3 into a buffer.
s3.getObject({
Bucket: srcBucket,
Key: srcKey
},
next);
},
function transform(response, next) {
console.log("response.Body:\n", response.Body);
ffmpeg(response.Body)
.setStartTime('00:00:03')
.setDuration('10') //.output('public/videos/test/test.mp4')
.toBuffer(videoType, function(err, buffer) {
if (err) {
next(err);
} else {
next(null, response.ContentType, buffer);
}
});
},
function upload(contentType, data, next) {
// Stream the transformed image to a different S3 bucket.
s3.putObject({
Bucket: dstBucket,
Key: dstKey,
Body: data,
ContentType: contentType
},
next);
}
], function (err) {
if (err) {
console.error(
'Unable to modify ' + srcBucket + '/' + srcKey +
' and upload to ' + dstBucket + '/' + dstKey +
' due to an error: ' + err
);
} else {
console.log(
'Successfully modify ' + srcBucket + '/' + srcKey +
' and uploaded to ' + dstBucket + '/' + dstKey
);
}
callback(null, "message");
}
);
};So what am I doing wrong ?
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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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Maven dependency works on machine but not when packaged in a .war - org.bytedeco.javacpp.avutil
26 décembre 2016, par Jake MillerI have a web app where you can upload a video and a thumbnail is created for this video. It works completely fine on my machine, but as soon as I deploy to AWS (Amazon Web Services) as a .war file, I experience dependency issues with maven.
Here’s the exception from the logs :
Caused by: java.lang.NoClassDefFoundError: Could not initialize class org.bytedeco.javacpp.avutil
at java.lang.Class.forName0(Native Method) ~[na:1.8.0_101]
at java.lang.Class.forName(Class.java:348) ~[na:1.8.0_101]
at org.bytedeco.javacpp.Loader.load(Loader.java:472) ~[javacpp-1.2.1.jar!/:1.2.1]
at org.bytedeco.javacpp.Loader.load(Loader.java:417) ~[javacpp-1.2.1.jar!/:1.2.1]
at org.bytedeco.javacpp.avformat$AVFormatContext.<clinit>(avformat.java:2597) ~[ffmpeg-2.8.1-1.1.jar!/:1.2.1]
at org.bytedeco.javacv.FFmpegFrameGrabber.startUnsafe(FFmpegFrameGrabber.java:391) ~[javacv-1.2.jar!/:1.2]
at org.bytedeco.javacv.FFmpegFrameGrabber.start(FFmpegFrameGrabber.java:385) ~[javacv-1.2.jar!/:1.2]
at com.myapp.app.service.ICampaignService.createThumbnail(ICampaignService.java:425) ~[classes!/:0.0.44T-SNAPSHOT]
at com.myapp.app.service.ICampaignService$$FastClassBySpringCGLIB$$47736265.invoke(<generated>) ~[classes!/:0.0.44T-SNAPSHOT]
at org.springframework.cglib.proxy.MethodProxy.invoke(MethodProxy.java:204) ~[spring-core-4.3.2.RELEASE.jar!/:4.3.2.RELEASE]
at org.springframework.aop.framework.CglibAopProxy$CglibMethodInvocation.invokeJoinpoint(CglibAopProxy.java:720) ~[spring-aop-4.3.2.RELEASE.jar!/:4.3.2.RELEASE]
at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:157) ~[spring-aop-4.3.2.RELEASE.jar!/:4.3.2.RELEASE]
at org.springframework.transaction.interceptor.TransactionInterceptor$1.proceedWithInvocation(TransactionInterceptor.java:99) ~[spring-tx-4.3.2.RELEASE.jar!/:4.3.2.RELEASE]
at org.springframework.transaction.interceptor.TransactionAspectSupport.invokeWithinTransaction(TransactionAspectSupport.java:280) ~[spring-tx-4.3.2.RELEASE.jar!/:4.3.2.RELEASE]
at org.springframework.transaction.interceptor.TransactionInterceptor.invoke(TransactionInterceptor.java:96) ~[spring-tx-4.3.2.RELEASE.jar!/:4.3.2.RELEASE]
at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:179) ~[spring-aop-4.3.2.RELEASE.jar!/:4.3.2.RELEASE]
at org.springframework.aop.framework.CglibAopProxy$DynamicAdvisedInterceptor.intercept(CglibAopProxy.java:655) ~[spring-aop-4.3.2.RELEASE.jar!/:4.3.2.RELEASE]
at com.myapp.app.service.ICampaignService$$EnhancerBySpringCGLIB$$67e59894.createThumbnail(<generated>) ~[classes!/:0.0.44T-SNAPSHOT]
at com.myapp.app.controllers.CampaignController.uploadCampaign(CampaignController.java:237) ~[classes!/:0.0.44T-SNAPSHOT]
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) ~[na:1.8.0_101]
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) ~[na:1.8.0_101]
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) ~[na:1.8.0_101]
at java.lang.reflect.Method.invoke(Method.java:498) ~[na:1.8.0_101]
at org.springframework.web.method.support.InvocableHandlerMethod.doInvoke(InvocableHandlerMethod.java:221) ~[spring-web-4.3.2.RELEASE.jar!/:4.3.2.RELEASE]
at org.springframework.web.method.support.InvocableHandlerMethod.invokeForRequest(InvocableHandlerMethod.java:136) ~[spring-web-4.3.2.RELEASE.jar!/:4.3.2.RELEASE]
at org.springframework.web.servlet.mvc.method.annotation.ServletInvocableHandlerMethod.invokeAndHandle(ServletInvocableHandlerMethod.java:114) ~[spring-webmvc-4.3.2.RELEASE.jar!/:4.3.2.RELEASE]
at org.springframework.web.servlet.mvc.method.annotation.RequestMappingHandlerAdapter.invokeHandlerMethod(RequestMappingHandlerAdapter.java:827) ~[spring-webmvc-4.3.2.RELEASE.jar!/:4.3.2.RELEASE]
at org.springframework.web.servlet.mvc.method.annotation.RequestMappingHandlerAdapter.handleInternal(RequestMappingHandlerAdapter.java:738) ~[spring-webmvc-4.3.2.RELEASE.jar!/:4.3.2.RELEASE]
at org.springframework.web.servlet.mvc.method.AbstractHandlerMethodAdapter.handle(AbstractHandlerMethodAdapter.java:85) ~[spring-webmvc-4.3.2.RELEASE.jar!/:4.3.2.RELEASE]
at org.springframework.web.servlet.DispatcherServlet.doDispatch(DispatcherServlet.java:963) ~[spring-webmvc-4.3.2.RELEASE.jar!/:4.3.2.RELEASE]
... 85 common frames omitted
</generated></generated></clinit>Here are my maven dependencies for the ffmpeg wrapper I’m using :
<dependency>
<groupid>org.bytedeco</groupid>
<artifactid>javacv</artifactid>
<version>1.3</version>
</dependency>
<dependency>
<groupid>org.bytedeco</groupid>
<artifactid>javacpp</artifactid>
<version>1.3</version>
</dependency>I’ve tried various different versions but nothing has worked so far. What’s strange is the error says
org.bytedeco.javacpp.avutil
but I have access to theavutil
class in my IDE.EDIT
I’ve also tried everything at this github post : https://github.com/bytedeco/javacpp-presets/issues/225
No solution I’ve found has worked. I’ve tried various different versions and various different org.bytedeco dependencies but they all yield the same error.