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  • MediaSPIP 0.1 Beta version

    25 avril 2011, par

    MediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
    The zip file provided here only contains the sources of MediaSPIP in its standalone version.
    To get a working installation, you must manually install all-software dependencies on the server.
    If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...)

  • 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 (...)

  • Amélioration de la version de base

    13 septembre 2013

    Jolie sélection multiple
    Le plugin Chosen permet d’améliorer l’ergonomie des champs de sélection multiple. Voir les deux images suivantes pour comparer.
    Il suffit pour cela d’activer le plugin Chosen (Configuration générale du site > Gestion des plugins), puis de configurer le plugin (Les squelettes > Chosen) en activant l’utilisation de Chosen dans le site public et en spécifiant les éléments de formulaires à améliorer, par exemple select[multiple] pour les listes à sélection multiple (...)

Sur d’autres sites (16563)

  • Converting ffmpeg loudnorm first pass dcf summary report output to data.frame R

    23 décembre 2022, par Chris

    Following from operations on a video with ffmpeg, a loudnorm first pass report for purely audio files is produced

    


    names(aud_proc_df)
[1] "in_files" "proc_out" "filter"

cmds_loudness_report <- with(aud_proc_df, sprintf("ffmpeg -hide_banner -i %s -af loudnorm=I=-23:TP=-2:LRA=7:print_format=summary -f null /dev/null 2>&1 | tail -n 12 >> loudness_rpt_all.txt", in_files)) # linux specific notation
lapply(cmds_loudness_report, system)


    


    reading this as a .csv rather than .dcf

    


    loudness_df_csv <- read.csv('loudness_rpt_all.txt', header = FALSE, sep =':')
head(loudness_df_csv)
                 V1                  V2
1  Input Integrated          -24.7 LUFS
2   Input True Peak           -1.6 dBTP
3         Input LRA             17.9 LU
4   Input Threshold          -37.8 LUFS
5 Output Integrated          -23.4 LUFS
6  Output True Peak           -2.0 dBTP
#data
structure(list(V1 = c("Input Integrated", "Input True Peak", 
"Input LRA", "Input Threshold", "Output Integrated", "Output True Peak", 
"Output LRA", "Output Threshold", "Normalization Type", "Target Offset", 
"Input Integrated", "Input True Peak", "Input LRA", "Input Threshold", 
"Output Integrated", "Output True Peak", "Output LRA", "Output Threshold", 
"Normalization Type", "Target Offset"), V2 = c("    -24.7 LUFS", 
"      -1.6 dBTP", "            17.9 LU", "     -37.8 LUFS", 
"   -23.4 LUFS", "     -2.0 dBTP", "           14.8 LU", "    -36.2 LUFS", 
"   Dynamic", "        +0.4 LU", "    -23.9 LUFS", "      +0.2 dBTP", 
"            22.0 LU", "     -37.6 LUFS", "   -23.6 LUFS", "     -2.0 dBTP", 
"           21.9 LU", "    -37.0 LUFS", "   Dynamic", "        +0.6 LU"
)), row.names = c(NA, 20L), class = "data.frame")


    


    then, for column notation portability between win and linux systems

    


    df_names <- unique(loudness_df_csv$V1)
df_names2 <- gsub(' ', '_', df_names)


    


    and then make a data.frame

    


    loudnorm_rpt <- data.frame(loudness_df_csv$V2[which(loudness_df_csv$V1 == df_names[1])], loudness_df_csv$V2[which(loudness_df_csv$V1 == df_names[2])], loudness_df_csv$V2[which(loudness_df_csv$V1 == df_names[3])], loudness_df_csv$V2[which(loudness_df_csv$V1 == df_names[4])], loudness_df_csv$V2[which(loudness_df_csv$V1 == df_names[5])], loudness_df_csv$V2[which(loudness_df_csv$V1 == df_names[6])], loudness_df_csv$V2[which(loudness_df_csv$V1 == df_names[7])], loudness_df_csv$V2[which(loudness_df_csv$V1 == df_names[8])], loudness_df_csv$V2[which(loudness_df_csv$V1 == df_names[9])], loudness_df_csv$V2[which(loudness_df_csv$V1 == df_names[10])])
names(loudnorm_rpt) <- df_names2
rownames(loudnorm_rpt) <- c('A', 'B')


    


    Should I just wrap this in a function or is there a dcf to data.frame function that I've missed ?

    


  • How to show video (no audio) from ffmpeg via RTP in VLC ?

    15 juillet 2019, par Sagi Mann

    I’m trying to stream RTP (video only) from ffmpeg to VLC :

    ffmpeg -stream_loop -1 -i video.mp4 -vcodec copy -an -f rtp rtp://0.0.0.0:1235

    In VLC app, I do file -> "open network" and set the url to rtp ://@:1235.
    But I get an error :

    SDP required
    
A description in SDP format is required to receive the RTP stream.
    
Note that rtp:// URIs cannot work with dynamic RTP payload format (96).

    What am I doing wrong ? I see in ffmpeg’s output that SDP is being generated :

    SDP:
    
v=0
    
o=- 0 0 IN IP4 127.0.0.1
    
s=No Name
    
c=IN IP4 0.0.0.0
    
t=0 0
    
a=tool:libavformat 58.20.100
    
m=video 1235 RTP/AVP 96
    
b=AS:1205
    
a=rtpmap:96 H264/90000
    
a=fmtp:96 packetization-mode=1; sprop-parameter-sets=Z01AH9oBQBbsBEAAAAMAQAAADIPGDKg=,aO88gA==; profile-level-id=4D401F

  • configure : remove libdl dependency from libndi_newtek

    10 octobre 2017, par Marton Balint
    configure : remove libdl dependency from libndi_newtek

    We are not using dynamic loading for libndi.
    

    Reviewed-by : James Almer <jamrial@gmail.com>
    
Signed-off-by : Marton Balint <cus@passwd.hu>
    • [DH] configure

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