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  • Les formats acceptés

    28 janvier 2010, par

    Les commandes suivantes permettent d’avoir des informations sur les formats et codecs gérés par l’installation local de ffmpeg :
    ffmpeg -codecs ffmpeg -formats
    Les format videos acceptés en entrée
    Cette liste est non exhaustive, elle met en exergue les principaux formats utilisés : h264 : H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10 m4v : raw MPEG-4 video format flv : Flash Video (FLV) / Sorenson Spark / Sorenson H.263 Theora wmv :
    Les formats vidéos de sortie possibles
    Dans un premier temps on (...)

  • Supporting all media types

    13 avril 2011, par

    Unlike most software and media-sharing platforms, MediaSPIP aims to manage as many different media types as possible. The following are just a few examples from an ever-expanding list of supported formats : images : png, gif, jpg, bmp and more audio : MP3, Ogg, Wav and more video : AVI, MP4, OGV, mpg, mov, wmv and more text, code and other data : OpenOffice, Microsoft Office (Word, PowerPoint, Excel), web (html, CSS), LaTeX, Google Earth and (...)

  • Contribute to translation

    13 avril 2011

    You can help us to improve the language used in the software interface to make MediaSPIP more accessible and user-friendly. You can also translate the interface into any language that allows it to spread to new linguistic communities.
    To do this, we use the translation interface of SPIP where the all the language modules of MediaSPIP are available. Just subscribe to the mailing list and request further informantion on translation.
    MediaSPIP is currently available in French and English (...)

Sur d’autres sites (6036)

  • lavc/qsvenc : add support for oneVPL string API

    29 février 2024, par Mandava, Mounika
    lavc/qsvenc : add support for oneVPL string API

    A new option -qsv_params <str> is added, where <str> is a :-separated
    
list of key=value parameters.
    

    Example :
    
$ ffmpeg -y -f lavfi -i testsrc -vf "format=nv12" -c:v h264_qsv -qsv_params
    
"TargetUsage=1:GopPicSize=30:GopRefDist=2:TargetKbps=5000" -f null -
    

    Signed-off-by : Mounika Mandava <mounika.mandava@intel.com>
    
Signed-off-by : Haihao Xiang <haihao.xiang@intel.com>
    • [DH] Changelog
    • [DH] configure
    • [DH] doc/encoders.texi
    • [DH] libavcodec/qsvenc.c
    • [DH] libavcodec/qsvenc.h

  • Revision d22a504d11 : Improved 8t filters Reformatted version of a patch submitted by Erik/Tamar from

    11 septembre 2013, par Scott LaVarnway

    Changed Paths :
     Modify /vp9/common/x86/vp9_asm_stubs.c


     Add /vp9/common/x86/vp9_subpixel_8t_intrin_ssse3.c


     Modify /vp9/vp9_common.mk



    Improved 8t filters

    Reformatted version of a patch submitted by Erik/Tamar
    from Intel. For the test clips used, the decoder
    performance improved by 2%.

    Change-Id : Ifbc37ac6311bca9ff1cfefe3f2e9b7f13a4a511b

  • dnn/vf_dnn_detect.c : add tensorflow output parse support

    6 mai 2021, par Ting Fu
    dnn/vf_dnn_detect.c : add tensorflow output parse support

    Testing model is tensorflow offical model in github repo, please refer
    
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_detection_zoo.md
    
to download the detect model as you need.
    
For example, local testing was carried on with 'ssd_mobilenet_v2_coco_2018_03_29.tar.gz', and
    
used one image of dog in
    
https://github.com/tensorflow/models/blob/master/research/object_detection/test_images/image1.jpg
    

    Testing command is :
    
./ffmpeg -i image1.jpg -vf dnn_detect=dnn_backend=tensorflow:input=image_tensor:output=\
    
"num_detections&detection_scores&detection_classes&detection_boxes":model=ssd_mobilenet_v2_coco.pb,\
    
showinfo -f null -
    

    We will see the result similar as below :
    
[Parsed_showinfo_1 @ 0x33e65f0]   side data - detection bounding boxes :
    
[Parsed_showinfo_1 @ 0x33e65f0] source : ssd_mobilenet_v2_coco.pb
    
[Parsed_showinfo_1 @ 0x33e65f0] index : 0,       region : (382, 60) -> (1005, 593), label : 18, confidence : 9834/10000.
    
[Parsed_showinfo_1 @ 0x33e65f0] index : 1,       region : (12, 8) -> (328, 549), label : 18, confidence : 8555/10000.
    
[Parsed_showinfo_1 @ 0x33e65f0] index : 2,       region : (293, 7) -> (682, 458), label : 1, confidence : 8033/10000.
    
[Parsed_showinfo_1 @ 0x33e65f0] index : 3,       region : (342, 0) -> (690, 325), label : 1, confidence : 5878/10000.
    

    There are two boxes of dog with cores 94.05% & 93.45% and two boxes of person with scores 80.33% & 58.78%.
    

    Signed-off-by : Ting Fu <ting.fu@intel.com>
    
Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
    • [DH] libavfilter/vf_dnn_detect.c

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