Recherche avancée

Médias (1)

Mot : - Tags -/lev manovitch

Autres articles (50)

  • MediaSPIP v0.2

    21 juin 2013, par

    MediaSPIP 0.2 est la première version de MediaSPIP stable.
    Sa date de sortie officielle est le 21 juin 2013 et est annoncée ici.
    Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
    Comme pour la version précédente, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
    Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...)

  • Mise à disposition des fichiers

    14 avril 2011, par

    Par défaut, lors de son initialisation, MediaSPIP ne permet pas aux visiteurs de télécharger les fichiers qu’ils soient originaux ou le résultat de leur transformation ou encodage. Il permet uniquement de les visualiser.
    Cependant, il est possible et facile d’autoriser les visiteurs à avoir accès à ces documents et ce sous différentes formes.
    Tout cela se passe dans la page de configuration du squelette. Il vous faut aller dans l’espace d’administration du canal, et choisir dans la navigation (...)

  • MediaSPIP version 0.1 Beta

    16 avril 2011, par

    MediaSPIP 0.1 beta est la première version de MediaSPIP décrétée comme "utilisable".
    Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
    Pour avoir une installation fonctionnelle, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
    Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...)

Sur d’autres sites (8970)

  • FFMPEG tee muxer giving "Output file #0 does not contain any stream"

    31 août 2020, par Giorgi Aptsiauri

    I am trying to create two streams : one is mpegts UDP stream another - rtmp to Twitch servers.

    


    This command works :

    


      ffmpeg -threads:v 2 -threads:a 16 -filter_threads 2 -thread_queue_size 16 -y \
 -f dshow -video_size 1920x1080 -pixel_format uyvy422 -framerate 25 -rtbufsize 500M -i video="Decklink Video Capture" \
 -f dshow -rtbufsize 100M -i audio="Decklink Audio Capture" \
 -preset ultrafast -c:v libx264 -tune zerolatency -b:v 900k -map 0:v:0 -f mpegts udp://127.0.0.1:5555 \ 
 -pix_fmt yuv420p -c:v libx264 -crf 20 -tune zerolatency -f flv rtmp://live-fra05.twitch.tv/app/stream_key


    


    But it requires double the encoding CPU power.

    


    So, following this, I rewrote the command like this :

    


    ffmpeg -threads:v 2 -threads:a 16 -filter_threads 2 -thread_queue_size 16 -y \
 -f dshow -video_size 1920x1080 -pixel_format uyvy422 -framerate 25 -rtbufsize 500M -i video="Decklink Video Capture" \
 -f dshow -rtbufsize 100M -i audio="Decklink Audio Capture" \
 -preset ultrafast -c:v libx264 -tune zerolatency -b:v 900k \
 -f tee "[select=\'0:v:0\':f=mpegts]udp://127.0.0.1:5555|[select=\'0:v:0,1:a:0\':f=flv]rtmp://live-fra05.twitch.tv/app/stream_key"


    


    By writing -f tee "[select=\'0:v:0\':f=mpegts]udp://127.0.0.1:5555|[select=\'0:v:0,1:a:0\':f=flv]rtmp://live-fra05.twitch.tv/app/stream_key", I mean :

    


      

    • create UDP stream at udp ://127.0.0.1:5555 and only include video stream from "Decklink Video Capture"
    • 


    • create RTMP stream where we include the same video stream as above and also the audio stream from "Decklink Audio Capture"
    • 


    


    I get the error message :

    


    Output file #0 does not contain any stream


    


    How do I fix this ? I assume I made a mistake in the command.

    


  • Video from images to mp4 in nvidia GPU

    16 août 2019, par M.y

    I am trying to encode a h264 .mp4 video created from .jpg images using a 1070ti nvidia cuda power, having a a crossfade transition between each image.
    I am able to render the video in GPU using the flags -c:v h264_nvenc, I see a short peak in the GPU encoding, but with a long period of computer CPU hight load, I guess preparing the transitioning images. But the image preparation it happens on cpu/ram due the -filter_complex and is quite slow.
    This works :

    ffmpeg.exe, -y, -loop, 1, -t, 2.5, -i, 1565957420594_labeled.jpg, -loop, 1, -t, 2.5, -i, 1565957453659_labeled.jpg, -loop, 1, -t, 2.5, -i, 1565957487743_labeled.jpg, -loop, 1, -t, 2.5, -i, 1565957525280_labeled.jpg, -loop, 1, -t, 2.5, -i, 1565957587308_labeled.jpg, -loop, 1, -t, 2.5, -i, 1565957644898_labeled.jpg, -loop, 1, -t, 2.5, -i, 1565957859119_labeled.jpg, -loop, 1, -t, 2.5, -i,1565959133561_labeled.jpg, -loop, 1, -t, 2.5, -i, 1565959412948_labeled.jpg, -loop, 1, -t, 2.5, -i, 1565959501884_labeled.jpg, -loop, 1, -t, 2.5, -i, 1565959755432_labeled.jpg, -loop, 1, -t, 2.5, -i, 1565959882380_labeled.jpg, -loop, 1, -t, 2.5, -i, 1565960023185_labeled.jpg, -loop, 1, -t, 2.5, -i, 1565960157174_labeled.jpg, -loop, 1, -t, 2.5, -i, 1565960683303_labeled.jpg, -loop, 1, -t, 2.5, -i, 1565961151548_labeled.jpg, -loop, 1, -t, 2.5, -i, 1565961230278_labeled.jpg, -loop, 1, -t, 2.5, -i, 1565961671766_labeled.jpg, -loop, 1, -t, 2.5, -i, final.jpg, -loop, 1, -t, 2.5, -i, final.jpg, -c:v, h264_nvenc, -preset, fast, -filter_complex, [1]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+0.5/TB[f0];[2]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+1.0/TB[f1];[3]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+1.5/TB[f2];[4]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+2.0/TB[f3];[5]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+2.5/TB[f4];[6]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+3.0/TB[f5];[7]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+3.5/TB[f6];[8]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+4.0/TB[f7];[9]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+4.5/TB[f8];[10]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+5.0/TB[f9];[11]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+5.5/TB[f10];[12]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+6.0/TB[f11];[13]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+6.5/TB[f12];[14]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+7.0/TB[f13];[15]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+7.5/TB[f14];[16]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+8.0/TB[f15];[17]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+8.5/TB[f16];[18]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+9.0/TB[f17];[19]fade=d=0.5:t=in:alpha=1,setpts=PTS-STARTPTS+9.5/TB[f18];[0][f0]overlay[bg1];[bg1][f1]overlay[bg2];[bg2][f2]overlay[bg3];[bg3][f3]overlay[bg4];[bg4][f4]overlay[bg5];[bg5][f5]overlay[bg6];[bg6][f6]overlay[bg7];[bg7][f7]overlay[bg8];[bg8][f8]overlay[bg9];[bg9][f9]overlay[bg10];[bg10][f10]overlay[bg11];[bg11][f11]overlay[bg12];[bg12][f12]overlay[bg13];[bg13][f13]overlay[bg14];[bg14][f14]overlay[bg15];[bg15][f15]overlay[bg16];[bg16][f16]overlay[bg17];[bg17][f17]overlay[bg18];[bg18][f18]overlay[v], -map, [v], -movflags, +faststart, output.mp4

    I am trying to do all work in the GPU, theoretically I can encode all images in GPU memory using in each -i the flags "-hwaccel cuvid -c:v mjpeg_cuvid" I receive the following error :

    [mjpeg_cuvid @ 00000000024ef980] ignoring invalid SAR: 0/0
    Impossible to convert between the formats supported by the filter 'graph 0 input from stream 1:0' and the filter 'auto_scaler_0'
    Error reinitializing filters!
    Failed to inject frame into filter network: Function not implemented
    Error while processing the decoded data for stream #0:0

    Is there a way to load images in the GPU with the "fade" flag applied ?

    Thanks in advance !

  • aacenc_pred : rework the way prediction is done

    29 août 2015, par Rostislav Pehlivanov
    aacenc_pred : rework the way prediction is done
    

    This commit completely alters the algorithm of prediction.
    The original commit which introduced prediction was completely
    incorrect to even remotely care about what the actual coefficients
    contain or whether any options were enabled. Not my actual fault.

    This commit treats prediction the way the decoder does and expects
    to do : like lossy encryption. Everything related to prediction now
    happens at the very end but just before quantization and encoding
    of coefficients. On the decoder side, prediction happens before
    anything has had a chance to even access the coefficients.

    Also the original implementation had problems because it actually
    touched the band_type of special bands which already had their
    scalefactor indices marked and it’s a wonder the asserion wasn’t
    triggered when transmitting those.

    Overall, this now drastically increases audio quality and you should
    think about enabling it if you don’t plan on playing anything encoded
    on really old low power ultra-embedded devices since they might not
    support decoding of prediction or AAC-Main. Though the specifications
    were written ages ago and as times change so do the FLOPS.

    Signed-off-by : Rostislav Pehlivanov <atomnuker@gmail.com>

    • [DH] libavcodec/aac.h
    • [DH] libavcodec/aaccoder.c
    • [DH] libavcodec/aacenc.c
    • [DH] libavcodec/aacenc.h
    • [DH] libavcodec/aacenc_pred.c
    • [DH] libavcodec/aacenc_pred.h