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Rennes Emotion Map 2010-11
19 octobre 2011, par
Mis à jour : Juillet 2013
Langue : français
Type : Texte
Autres articles (69)
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Des sites réalisés avec MediaSPIP
2 mai 2011, parCette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page. -
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 (...) -
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 (...)
Sur d’autres sites (8493)
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JNI crash when I split code in two functions
13 septembre 2013, par LescottI have a properly working native C function which I call from my java code. But when I split this code in two functions and sequentially call them both I got fatal error.
//global variables
AVFormatContext *pFormatCtx;
AVFrame *pFrame;
AVFrame *pFrameRGB;
AVCodecContext *pCodecCtx;
AVCodec *pCodec;
uint8_t *buffer;
int videoStream;
struct SwsContext *sws_ctx = NULL;
int outWidth, outHeight;Working unsplitted function
JNIEXPORT void JNICALL Java_foo(JNIEnv * env, jclass class) {
av_register_all();
const char* videoPath = "11.mp4";
int numBytes;
AVDictionary *optionsDict = NULL;
pFrame = NULL;
pFrameRGB = NULL;
buffer = NULL;
pCodec = NULL;
pFormatCtx = NULL;
// Open video file
if(avformat_open_input(&pFormatCtx, videoPath, NULL, NULL)!=0)
exit(1); // Couldn't open file
// Retrieve stream information
if(avformat_find_stream_info(pFormatCtx, NULL)<0)
exit(1); // Couldn't find stream information
av_dump_format(pFormatCtx, 0,videoPath, 0);
// Find the first video stream
videoStream=-1;
int i;
for(i=0; inb_streams; i++) {
if(pFormatCtx->streams[i]->codec->codec_type==AVMEDIA_TYPE_VIDEO) {
videoStream=i;
break;
}
}
if(videoStream==-1)
exit(1); // Didn't find a video stream
// Get a pointer to the codec context for the video stream
pCodecCtx=pFormatCtx->streams[videoStream]->codec;
// Find the decoder for the video stream
pCodec=avcodec_find_decoder(pCodecCtx->codec_id);
if(pCodec==NULL) {
fprintf(stderr, "Unsupported codec!\n");
exit(1); // Codec not found
}
// Open codec
if(avcodec_open2(pCodecCtx, pCodec, &optionsDict)<0)
exit(1); // Could not open codec
// Allocate video frame
pFrame=avcodec_alloc_frame();
// Allocate an AVFrame structure
pFrameRGB=avcodec_alloc_frame();
if(pFrameRGB==NULL)
exit(1);
outWidth = 128;
outHeight = 128;
// Determine required buffer size and allocate buffer
numBytes=avpicture_get_size(PIX_FMT_RGB24, outWidth, outHeight);
buffer=(uint8_t *)av_malloc(numBytes*sizeof(uint8_t));
sws_ctx = sws_getContext(
pCodecCtx->width,
pCodecCtx->height,
pCodecCtx->pix_fmt,
outWidth,
outHeight,
PIX_FMT_RGB24,
SWS_BILINEAR,
NULL,
NULL,
NULL
);
// Assign appropriate parts of buffer to image planes in pFrameRGB
// Note that pFrameRGB is an AVFrame, but AVFrame is a superset
// of AVPicture
avpicture_fill((AVPicture *)pFrameRGB, buffer, PIX_FMT_RGB24, outWidth, outHeight);
}Failing splitted functions
JNIEXPORT void JNICALL Java_foo1(JNIEnv * env, jclass class) {
av_register_all();
}
JNIEXPORT void JNICALL Java_foo2(JNIEnv * env, jclass class) {
//all lines of code from Java_foo exept the first
}Java code
System.loadLibrary("mylib");
Mylib.foo1();
Mylib.foo2(); //fatal error
#
# A fatal error has been detected by the Java Runtime Environment:
#
# SIGSEGV (0xb) at pc=0x00007faab5012dc0, pid=15571, tid=140371352766208Any ideas ?
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getting a `InValid URL` when I send a voice message
9 septembre 2023, par AmmadWhen I try to send voice messages I always get invalid url error with. I am using whisper to convert the audio to text but for some reason I cannot seem to pass the file to the whisper. It worked when I used this in java script but not in typescript for some reason


async function createFile(path: string): Promise<file> {
 const response = await fetch(path);
 const data = await response.blob();
 
 // Extract file name from the path
 const fileName = path.split('/').pop() || 'unknown';
 
 // Extract file extension and determine MIME type
 const fileExtension = fileName.split('.').pop()?.toLowerCase() || '';
 const mimeTypes: Record = {
 'mp3': 'audio/mpeg',
 // Add more mappings as needed
 };
 const fileType = mimeTypes[fileExtension] || 'application/octet-stream';
 
 const metadata = {
 type: fileType
 };
 
 return new File([data], fileName, metadata);
}

async function sendAudioForTranscription(file_path:string) {
 try {
 
 // const audioData = fs.createReadStream(file_path);
 const audioFile = await createFile(file_path)

 const response = await openai.createTranscription(audioFile, "whisper-1");
 const transcribed = response.data.text;

 return transcribed;
 } catch (error) {
 console.error("Error transcribing the audio:", error);
 return null;
 }
}
</file>

I am new to this so any help would be appreciated. This is the error


Error transcribing the audio: TypeError: Failed to parse URL from src\audio_files\false_xxxxxxxxx8@c.us_B161BC6FA04DB01B8B31F5E0F83EDAD5.mp3
 at Object.fetch (node:internal/deps/undici/undici:11576:11)
 at process.processTicksAndRejections (node:internal/process/task_queues:95:5) {
 [cause]: TypeError [ERR_INVALID_URL]: Invalid URL
 at new NodeError (node:internal/errors:405:5)
 at new URL (node:internal/url:778:13)
 at new Request (node:internal/deps/undici/undici:7132:25)
 at fetch2 (node:internal/deps/undici/undici:10715:25)
 at Object.fetch (node:internal/deps/undici/undici:11574:18)
 at fetch (node:internal/process/pre_execution:270:25)
 at C:\Users\Ammad Ali\Documents\Documents\alex-whatsapp-bot\build\openai\transcript.js:28:32
 at C:\Users\Ammad Ali\Documents\Documents\alex-whatsapp-bot\build\openai\transcript.js:8:71
 at new Promise (<anonymous>)
 at __awaiter (C:\Users\Ammad Ali\Documents\Documents\alex-whatsapp-bot\build\openai\transcript.js:4:12)
 at createFile (C:\Users\Ammad Ali\Documents\Documents\alex-whatsapp-bot\build\openai\transcript.js:27:12)
 at Object.<anonymous> (C:\Users\Ammad Ali\Documents\Documents\alex-whatsapp-bot\build\openai\transcript.js:49:37)
 at Generator.next (<anonymous>)
 at C:\Users\Ammad Ali\Documents\Documents\alex-whatsapp-bot\build\openai\transcript.js:8:71
 at new Promise (<anonymous>) {
 input: 'src\\audio_files\\false_xxxxxxxxx8@c.us_B161BC6FA04DB01B8B31F5E0F83EDAD5.mp3',
 code: 'ERR_INVALID_URL'
 }
}
</anonymous></anonymous></anonymous></anonymous>

To get a response back in voice message


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How to use (django-celery,RQ) worker to execute a video filetype conversion (ffmpeg) in django on heroku (My code works locally)
15 janvier 2013, par GetItDoneOne part of my website includes a form that allows users to upload video. I use ffmpeg to convert the video to flv. My media and static files are stored on Amazon S3. I can get everything to work perfectly locally, however I can't seem to figure out how to use a worker to run the video conversion subprocess in production. I have dj-celery and rq installed in my app. The code in my view that I was able to get to work locally is :
#views.py
def upload_broadcast(request):
if request.method == 'POST':
form = VideoUploadForm(request.POST, request.FILES)
if form.is_valid():
new_video=form.save()
def convert_to_flv(video):
filename = video.video_upload
sourcefile = "%s%s" % (settings.MEDIA_ROOT, filename)
flvfilename = "%s.flv" % video.id
imagefilename = "%s.png" % video.id
thumbnailfilename = "%svideos/flv/%s" % (settings.MEDIA_ROOT, imagefilename)
targetfile = "%svideos/flv/%s" % (settings.MEDIA_ROOT, flvfilename)
ffmpeg = "ffmpeg -i %s -acodec mp3 -ar 22050 -f flv -s 320x240 %s" % (sourcefile, targetfile)
grabimage = "ffmpeg -y -i %s -vframes 1 -ss 00:00:02 -an -vcodec png -f rawvideo -s 320x240 %s" % (sourcefile, thumbnailfilename)
print ("SOURCE: %s" % sourcefile)
print ("TARGET: %s" % targetfile)
print ("TARGET IMAGE: %s" % thumbnailfilename)
print ("FFMPEG TASK CODE: %s" % ffmpeg)
print ("IMAGE TASK CODE: %s" % grabimage)
try:
ffmpegresult = subprocess.call(ffmpeg)
print "---------------FFMPEG---------------"
print ffmpegresult
except:
print "Not working."
try:
videothumbnail = subprocess.call(grabimage)
print "---------------IMAGE---------------"
print videothumbnail
except:
print "Not working."
video.flvfilename = flvfilename
video.videothumbnail = imagefilename
video.save()
convert_to_flv(new_video)
return HttpResponseRedirect('/video_list/')
else:
...This is my first time trying to use a worker (or ever pushing a project to production), so even with the documentation it is still unclear to me what I need to do. I have tried several different things but nothing seems to work. Is there just a simple way to tell celery to run the ffmpegresult = subprocess.call(ffmpeg) ? Thanks in advance for any help or insight.
EDIT- Added heroku logs
2013-01-10T20:58:57+00:00 app[web.1]: TARGET: /media/videos/flv/8.flv
2013-01-10T20:58:57+00:00 app[web.1]: IMAGE TASK CODE: ffmpeg -y -i /media/videos/practice.wmv -vframes 1 -ss 00:00:02 - an -vcodec png -f rawvideo -s 320x240 /media/videos/flv/8.png
2013-01-10T20:58:57+00:00 app[web.1]: SOURCE: /media/videos/practice.wmv
2013-01-10T20:58:57+00:00 app[web.1]: FFMPEG TASK CODE: ffmpeg -i /media/videos/practice.wmv -acodec mp3 -ar 22050 -f fl v -s 320x240 /media/videos/flv/8.flv
2013-01-10T20:58:57+00:00 app[web.1]: TARGET IMAGE: /media/videos/flv/8.png
2013-01-10T20:58:57+00:00 app[web.1]: Not working.
2013-01-10T20:58:57+00:00 app[web.1]: Not working.NEWER EDIT
I tried adding a tasks.py and added the task :
celery = Celery('tasks', broker='redis://guest@localhost//')
@celery.task
def ffmpeg_task(video):
converted_file = subprocess.call(video)
return converted_filethen I changed the relevant section of my view to :
...
try:
ffmpeg_task.delay(ffmpeg)
print "---------------FFMPEG---------------"
print ffmpegresult
except:
print "Not working."
...My new logs are :
2013-01-15T13:19:52+00:00 app[web.1]: TARGET IMAGE: /media/videos/flv/12.png
2013-01-15T13:19:52+00:00 app[web.1]: SOURCE: /media/videos/practice.wmv
2013-01-15T13:19:52+00:00 app[web.1]: FFMPEG TASK CODE: ffmpeg -i /media/videos/practice.wmv -acodec mp3 -ar 22050 -f fl v -s 320x240 /media/videos/flv/12.flv
2013-01-15T13:19:52+00:00 app[web.1]: IMAGE TASK CODE: ffmpeg -y -i /media/videos/practice.wmv -vframes 1 -ss 00:00:02 -an -vcodec png -f rawvideo -s 320x240 /media/videos/flv/12.png
2013-01-15T13:19:52+00:00 app[web.1]: TARGET: /media/videos/flv/12.flv
2013-01-15T13:20:17+00:00 app[web.1]: 2013-01-15 13:20:17 [2] [CRITICAL] WORKER TIMEOUT (pid:12)
2013-01-15T13:20:17+00:00 app[web.1]: 2013-01-15 13:20:17 [2] [CRITICAL] WORKER TIMEOUT (pid:12)
2013-01-15T13:20:17+00:00 app[web.1]: 2013-01-15 13:20:17 [19] [INFO] Booting worker with pid: 19Am I completely missing something ? I'll keep trying, but will be very appreciative of any direction or assistance.
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