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La conservation du net art au musée. Les stratégies à l’œuvre
26 mai 2011
Mis à jour : Juillet 2013
Langue : français
Type : Texte
Autres articles (53)
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Gestion générale des documents
13 mai 2011, parMédiaSPIP ne modifie jamais le document original mis en ligne.
Pour chaque document mis en ligne il effectue deux opérations successives : la création d’une version supplémentaire qui peut être facilement consultée en ligne tout en laissant l’original téléchargeable dans le cas où le document original ne peut être lu dans un navigateur Internet ; la récupération des métadonnées du document original pour illustrer textuellement le fichier ;
Les tableaux ci-dessous expliquent ce que peut faire MédiaSPIP (...) -
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 -
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.
Sur d’autres sites (8547)
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JW Player fails with error with wma files : Task Queue failed at step 5
17 mars 2018, par SabeenaI have a JW Player which plays MP3 files but with WMA files it gives the error :
Task Queue failed at step 5: Playlist could not be loaded: Playlist file did not contain a valid playlistI thought of two reasons :
- There is no support for WMA but please confirm me this.
- Somewhere I need to setup the type of file I am using in this player.
If WMA not supported in JW Player how can I play WMA and MP3 files in my website ?
Is
ffmpegneeded to convert WMA to MP3 while uploading ? -
CUDA_ERORR_INVALID_CONTEXT
15 août 2021, par Meme MachineI am making a desktop sharing application based off of these repositories from NVIDIA.


https://github.com/NVIDIA/video-sdk-samples/tree/master/nvEncDXGIOutputDuplicationSample


https://github.com/NVIDIA/video-sdk-samples/blob/master/Samples/AppDecode/AppDecD3D/


https://github.com/NVIDIA/video-sdk-samples/tree/master/Samples/AppDecode/AppDecMem


I intend to have a setup function that is called once when Remote Desktop is selected, and then a second function that actually displays the received frames which is called when a frame is received


The below functions are nearly identical to the main() and NvD3D() functions found in AppDecD3D and AppDecMem repositories


CUcontext cuContext = NULL; // maybe it has to do with this variable?

int setup()
{
 char szInFilePath[256] = "C:\\Users\\Admin\\Desktop\\test.h264";
 int iGpu = 0;
 int iD3d = 0;
 try
 {
 //ParseCommandLine(argc, argv, szInFilePath, NULL, iGpu, NULL, &iD3d);
 CheckInputFile(szInFilePath);

 ck(cuInit(0));
 int nGpu = 0;
 ck(cuDeviceGetCount(&nGpu));
 if (iGpu < 0 || iGpu >= nGpu)
 {
 std::ostringstream err;
 err << "GPU ordinal out of range. Should be within [" << 0 << ", " << nGpu - 1 << "]" << std::endl;
 throw std::invalid_argument(err.str());
 }
 CUdevice cuDevice = 0;
 ck(cuDeviceGet(&cuDevice, iGpu));
 char szDeviceName[80];
 ck(cuDeviceGetName(szDeviceName, sizeof(szDeviceName), cuDevice));
 std::cout << "GPU in use: " << szDeviceName << std::endl;

 ck(cuCtxCreate(&cuContext, CU_CTX_SCHED_BLOCKING_SYNC, cuDevice));
 //NvDecD3D<framepresenterd3d11>(szInFilePath);

 std::cout << "Display with D3D11." << std::endl;
 }
 catch (const std::exception& ex)
 {
 std::cout << ex.what();
 exit(1);
 }
 return 0;
}

template<class typename="std::enable_if<std::is_base_of<FramePresenterD3D," framepresentertype="framepresentertype">::value>>
int NvDecD3D(char* szInFilePath)
{
 FileDataProvider dp(szInFilePath);
 FFmpegDemuxer demuxer(&dp);
 NvDecoder dec(cuContext, demuxer.GetWidth(), demuxer.GetHeight(), true, FFmpeg2NvCodecId(demuxer.GetVideoCodec()));
 FramePresenterType presenter(cuContext, demuxer.GetWidth(), demuxer.GetHeight());
 CUdeviceptr dpFrame = 0;
 ck(cuMemAlloc(&dpFrame, demuxer.GetWidth() * demuxer.GetHeight() * 4));
 int nVideoBytes = 0, nFrameReturned = 0, nFrame = 0;
 uint8_t* pVideo = NULL, ** ppFrame;

 do
 {
 demuxer.Demux(&pVideo, &nVideoBytes);
 dec.Decode(pVideo, nVideoBytes, &ppFrame, &nFrameReturned);
 if (!nFrame && nFrameReturned)
 LOG(INFO) << dec.GetVideoInfo();

 for (int i = 0; i < nFrameReturned; i++)
 {
 if (dec.GetBitDepth() == 8)
 Nv12ToBgra32((uint8_t*)ppFrame[i], dec.GetWidth(), (uint8_t*)dpFrame, 4 * dec.GetWidth(), dec.GetWidth(), dec.GetHeight());
 else
 P016ToBgra32((uint8_t*)ppFrame[i], 2 * dec.GetWidth(), (uint8_t*)dpFrame, 4 * dec.GetWidth(), dec.GetWidth(), dec.GetHeight());
 presenter.PresentDeviceFrame((uint8_t*)dpFrame, demuxer.GetWidth() * 4);
 }
 nFrame += nFrameReturned;
 } while (nVideoBytes);
 ck(cuMemFree(dpFrame));
 std::cout << "Total frame decoded: " << nFrame << std::endl;
 return 0;
}
</class></framepresenterd3d11>

Notice the line
NvDecD3D<framepresenterd3d11>(szInFilePath);</framepresenterd3d11>? I plan to callNvDecD3D()when a frame is received. So, I commented out the call insetup()and moved it to my asio:async_read function. (see below)

void do_read_body()
 {
 readBuffer.reserve(_read_msg.ReadLength);
 _read_msg.Body = readBuffer.data();
 auto self(shared_from_this());
 asio::async_read(_socket,
 asio::buffer(_read_msg.Body, _read_msg.ReadLength),
 [this, self](std::error_code ec, std::size_t /*length*/)
 {
 if (!ec)
 {
 if (_read_msg.CmdId == 0x5)
 {
 std::cout << "Received a frame" << std::endl;

 NvDecD3D<framepresenterd3d11>(szInFilePath);
 }
 else
 {
 std::cout << std::string(_read_msg.Body, 0, _read_msg.ReadLength) << std::endl;
 }
 
 do_read_header();
 }
 else
 {
 _room.leave(shared_from_this());
 }
 });
 }
</framepresenterd3d11>

However, when I go to execute it, I get
CUDA_ERORR_INVALID_CONTEXTwhencuMemAlloc()is called. If I uncomment the call toNvDecD3D()insidesetup()and call it from there, it does not error however.

Do you have any idea what could be causing this problem ? Perhaps it is related to the ASIO.


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How to create a Python AWS Lambda zip with OpenCV + FFmpeg ?
8 juin 2017, par dannyeuuOn my desktop I have FFmpeg, OpenCV compilated right, and works well.
The function load a video on S3 and run a model that extract some frames and store them in another S3 Bucket.
But I have to deploy a conda env with my lambda function and packages with OpenCV without FFmpeg, but I need it to opencv mp4 video file.
python-project/
- cv2/
- numpy/
- lambda_handler.pyHow can I setup the opencv that enable videos on OpenCV ? I tried to compile in another desktop but none.
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