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  • Diogene : création de masques spécifiques de formulaires d’édition de contenus

    26 octobre 2010, par

    Diogene est un des plugins ? SPIP activé par défaut (extension) lors de l’initialisation de MediaSPIP.
    A quoi sert ce plugin
    Création de masques de formulaires
    Le plugin Diogène permet de créer des masques de formulaires spécifiques par secteur sur les trois objets spécifiques SPIP que sont : les articles ; les rubriques ; les sites
    Il permet ainsi de définir en fonction d’un secteur particulier, un masque de formulaire par objet, ajoutant ou enlevant ainsi des champs afin de rendre le formulaire (...)

  • 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 (...)

  • Utilisation et configuration du script

    19 janvier 2011, par

    Informations spécifiques à la distribution Debian
    Si vous utilisez cette distribution, vous devrez activer les dépôts "debian-multimedia" comme expliqué ici :
    Depuis la version 0.3.1 du script, le dépôt peut être automatiquement activé à la suite d’une question.
    Récupération du script
    Le script d’installation peut être récupéré de deux manières différentes.
    Via svn en utilisant la commande pour récupérer le code source à jour :
    svn co (...)

Sur d’autres sites (2680)

  • libavfilter/dnn : determine dnn output during execute_model instead of set_input_output

    25 avril 2019, par Guo, Yejun
    libavfilter/dnn : determine dnn output during execute_model instead of set_input_output

    Currently, within interface set_input_output, the dims/memory of the tensorflow
    
dnn model output is determined by executing the model with zero input,
    
actually, the output dims might vary with different input data for networks
    
such as object detection models faster-rcnn, ssd and yolo.
    

    This patch moves the logic from set_input_output to execute_model which
    
is suitable for all the cases. Since interface changed, and so dnn_backend_native
    
also changes.
    

    In vf_sr.c, it knows it's srcnn or espcn by executing the model with zero input,
    
so execute_model has to be called in function config_props
    

    Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
    
Signed-off-by : Pedro Arthur <bygrandao@gmail.com>
    • [DH] libavfilter/dnn_backend_native.c
    • [DH] libavfilter/dnn_backend_native.h
    • [DH] libavfilter/dnn_backend_tf.c
    • [DH] libavfilter/dnn_backend_tf.h
    • [DH] libavfilter/dnn_interface.h
    • [DH] libavfilter/vf_sr.c

  • libavfilter : Add derain filter

    30 mai 2019, par Xuewei Meng
    libavfilter : Add derain filter

    Remove the rain in the input image/video by applying the derain
    
methods based on convolutional neural networks. Training scripts
    
as well as scripts for model generation are provided in the
    
repository at https://github.com/XueweiMeng/derain_filter.git.
    

    Signed-off-by : Xuewei Meng <xwmeng96@gmail.com>
    • [DH] doc/filters.texi
    • [DH] libavfilter/Makefile
    • [DH] libavfilter/allfilters.c
    • [DH] libavfilter/vf_derain.c

  • Trying to use ffmpeg to create slideshow from ISO-8601 named pictures. Getting output with no playable streams

    19 juin 2019, par Robert Ellegate

    I’m trying to create a slideshow of images that are irregular in dimension/orientation but all named with the same ISO-8601 date format.

    I’ve normalized the filenames so they are all YYYYMMDD.jpg. I have tried using the globular pattern type for ffmpeg and various methods for inputting the files, including piping the concatenation of the files into ffmpeg.

    Here are the images I’m trying to use :

    $ ls *.jpg | xargs -n1 file
    
20190411.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=upper-left, width=0], baseline, precision 8, 10128x3984, components 3
    
20190417.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=lower-right, width=0], baseline, precision 8, 10176x3952, components 3
    
20190424.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=upper-left, width=0], baseline, precision 8, 12128x3840, components 3
    
20190429.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=upper-left, width=0], baseline, precision 8, 11104x3888, components 3
    
20190430.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=lower-right, width=0], baseline, precision 8, 10992x3920, components 3
    
20190501.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=lower-right, width=0], baseline, precision 8, 10528x3936, components 3
    
20190502.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=lower-right, width=0], baseline, precision 8, 10992x3792, components 3
    
20190508.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=lower-right, width=0], baseline, precision 8, 11008x3808, components 3
    
20190515.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=lower-right, width=0], baseline, precision 8, 10416x3760, components 3
    
20190516.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=lower-right, width=0], baseline, precision 8, 10928x3760, components 3
    
20190517.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=lower-right, width=0], baseline, precision 8, 10720x3840, components 3
    
20190522.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6552x1688, components 3
    
20190523.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6572x1700, components 3
    
20190524.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6468x1659, components 3
    
20190528.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 5424x1644, components 3
    
20190529.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=7, model=Pixel 2 XL, height=0, manufacturer=Google, orientation=[*0*], datetime=2019:05:29 16:38:01, width=0]
    
20190531.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6584x1693, components 3
    
20190603.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6536x1690, components 3
    
20190604.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 5748x1618, components 3
    
20190606.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6196x1690, components 3
    
20190607.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6112x1674, components 3
    
20190610.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6440x1670, components 3
    
20190611.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6312x1694, components 3
    
20190612.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6176x1689, components 3

    And these are the various ffmpeg commands I’ve tried using :

    cat *.jpg | ffmpeg -framerate 1/5 -c:v libx264 -r 30 -pix_fmt yuv420p out.mp4
    cat *.jpg | ffmpeg -f image2pipe -i - output.mkv
    ffmpeg -framerate 1/5 -pattern_type glob -i '*.jpg' out.mp4
    ffmpeg -framerate 1/5 -pattern_type glob -i '*.jpg' -c:v libx264 -vf fps=25 -pix_fmt yuv420p out.mp4

    I’m trying to create a video that shows each image for 5 seconds in order, but I’m getting a mp4 video file with no playable streams.

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