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Rennes Emotion Map 2010-11
19 octobre 2011, par
Mis à jour : Juillet 2013
Langue : français
Type : Texte
Autres articles (36)
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Personnaliser en ajoutant son logo, sa bannière ou son image de fond
5 septembre 2013, parCertains thèmes prennent en compte trois éléments de personnalisation : l’ajout d’un logo ; l’ajout d’une bannière l’ajout d’une image de fond ;
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Les formats acceptés
28 janvier 2010, parLes commandes suivantes permettent d’avoir des informations sur les formats et codecs gérés par l’installation local de ffmpeg :
ffmpeg -codecs ffmpeg -formats
Les format videos acceptés en entrée
Cette liste est non exhaustive, elle met en exergue les principaux formats utilisés : h264 : H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10 m4v : raw MPEG-4 video format flv : Flash Video (FLV) / Sorenson Spark / Sorenson H.263 Theora wmv :
Les formats vidéos de sortie possibles
Dans un premier temps on (...) -
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 (4848)
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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.