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  • Websites made ​​with MediaSPIP

    2 mai 2011, par

    This page lists some websites based on MediaSPIP.

  • Creating farms of unique websites

    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" (...)

  • Other interesting software

    13 avril 2011, par

    We don’t claim to be the only ones doing what we do ... and especially not to assert claims to be the best either ... What we do, we just try to do it well and getting better ...
    The following list represents softwares that tend to be more or less as MediaSPIP or that MediaSPIP tries more or less to do the same, whatever ...
    We don’t know them, we didn’t try them, but you can take a peek.
    Videopress
    Website : http://videopress.com/
    License : GNU/GPL v2
    Source code : (...)

Sur d’autres sites (7975)

  • How to set background to subtitle in ffmpeg ?

    10 avril 2017, par supermario

    It is described here how ot burn a srt file into a video.
    However, I want to put a semi-transparent background to the subtitles so that the texts can be read more easily. How can I do that ?

  • timelapse images into a movie, 500 at a time

    2 mars 2017, par molly78

    I am trying to make a script to turn a bunch of timelapse images into a movie, using ffmpeg.

    The latest problem is how to loop thru the images in, say, batches of 500.

    There could be 100 images from the day, or there could be 5000 images.

    The reason for breaking this apart is due to running out of memory.

    Afterwards I would need to cat them using MP4Box to join all together...

    I am entirely new to bash, but not entirely programming.

    What I think needs to happen is this

    1) read in the folders contents as the images may not be consecutively named

    2) send ffmpeg a list of 500 at a time to process (https://trac.ffmpeg.org/wiki/Concatenate)

    2b) while you’re looping thru this, set a counter to determine how many loops you’ve done

    3) use the number of loops to create the MP4Box cat command line to join them all at the end.

    the basic script that works if there’s only say 500 images is :

    #!/bin/bash

    dy=$(date '+%Y-%m-%d')

    ffmpeg -framerate 24 -s hd1080 -pattern_type glob -i "/mnt/cams/Camera1/$dy/*.jpg" -vcodec libx264 -pix_fmt yuv420p Cam1-"$dy".mp4

    MP4Box’s cat command looks like :

    MP4Box -cat Cam1-$dy7.mp4 -cat Cam1-$dy6.mp4 -cat Cam1-$dy5.mp4 -cat Cam1-$dy4.mp4 -cat Cam1-$dy3.mp4 -cat Cam1-$dy2.mp4 -cat Cam1-$dy1.mp4 "Cam1 - $dy1 to $dy7.mp4"

    Needless to say help is immensely appreciated for my project

  • ffmpeg and gnu parallel

    16 août 2013, par souvik

    My work would require me to encode a few thousand movies in a few days. Each movie needs to be encoded in 3 different formats. I use ffmpeg to output these formats in parallel with a single read of the input source as detailed here : http://ffmpeg.org/trac/ffmpeg/wiki/Creating%20multiple%20outputs

    In addition, I am using GNU Parallel to encode from multiple video files in parallel. We have four blade servers of different configurations (48, 32, 16 and 16 cores) encoding videos in parallel. Ideally, we should be able to encode 112 videos in parallel.

    However, it seems that encoding completes faster on machines with lesser cores. I have 16 completed encodes on the 16 core servers in around 4 hours, while it takes close to 10 hours for 48 encodes to complete on the 48 core system. What could be the bottleneck ? A typical encode command is as follows :

    ffmpeg -i sample.mpg -y -vcodec libx264 -vprofile baseline -level 30 -acodec libfdk_aac -ab 128k -ac 2 -b:v 500K -threads 1  encoded/sample_enc.mp4

    Any pointers highly appreciated. Thanks !