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    2 mai 2011, par

    This page lists some websites based on MediaSPIP.

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    13 avril 2011, par

    MediaSPIP platforms can be installed as a farm, with a single "core" hosted on a dedicated server and used by multiple websites.
    This allows (among other things) : implementation costs to be shared between several different projects / individuals rapid deployment of multiple unique sites creation of groups of like-minded sites, making it possible to browse media in a more controlled and selective environment than the major "open" (...)

  • Publier sur MédiaSpip

    13 juin 2013

    Puis-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

Sur d’autres sites (10179)

  • 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.

  • 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

  • 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

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