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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 (...)

  • Personnaliser en ajoutant son logo, sa bannière ou son image de fond

    5 septembre 2013, par

    Certains thèmes prennent en compte trois éléments de personnalisation : l’ajout d’un logo ; l’ajout d’une bannière l’ajout d’une image de fond ;

Sur d’autres sites (13851)

  • Error in Splitting Educational Videos into Segments Using Python (ffmpeg issue) [closed]

    28 décembre 2024, par Yahia Mohamed Hanbal

    I created a Python project to split long educational videos into smaller segments, each focused on a single question. The program uses OCR to detect text on video frames, identifies the word "Question," extracts the number following it, and splits the video whenever the number increases.

    


    here is the video i am tring to split ((video))

    


    Here’s an example of the program’s output :

    


    Video loaded: 14071 frames at 60 FPS, duration: 234.52s  
Frame 480, Time 8.00s, Question: 6  
...  
Frame 12360, Time 206.00s, Question: 7  
Creating segment 1: 8.00s to 206.00s  
Error: module 'ffmpeg' has no attribute 'Error'


    


    I’ve shared the full code in a GitHub repository for reference : Automated Video Scene Cutting.

    


    What the Program Does

    


      

    • Input : A long educational video.
    • 


    • Processing :

        

      • Detects text in each frame using OCR.
      • 


      • Searches for the word "Question" followed by a number.
      • 


      • Monitors when the number increases to identify segment boundaries.
      • 


      


    • 


    • Output : Creates video segments corresponding to individual questions.
    • 


    


    The Problem

    


    The program detects the questions and timestamps correctly, but when it tries to create the segments, I encounter the following error :

    


    Error: module 'ffmpeg' has no attribute 'Error'


    


    What I’ve Tried

    


      

    • Verified the ffmpeg-python library is installed (pip show ffmpeg-python confirms the installation).
    • 


    • Ensured the ffmpeg binary is accessible from the command line.
    • 


    • Reviewed the library documentation to ensure the correct usage of ffmpeg.
    • 


    • Tested with different video files to rule out input-specific issues.
    • 


    


    Environment Details

    


      

    • OS : Windows 11
    • 


    • Python Version : 3.9.13
    • 


    • Key Libraries : ffmpeg-python
    • 


    


    If anyone has insights into resolving this issue or suggestions for alternative approaches to handle this use case, I’d greatly appreciate your help.

    


    Thank you !

    


  • build : Fine-grained link-time dependency settings

    22 janvier 2017, par Diego Biurrun
    build : Fine-grained link-time dependency settings
    

    Previously, all link-time dependencies were added for all libraries,
    resulting in bogus link-time dependencies since not all dependencies
    are shared across libraries. Also, in some cases like libavutil, not
    all dependencies were taken into account, resulting in some cases of
    underlinking.

    To address all this mess a machinery is added for tracking which
    dependency belongs to which library component and then leveraged
    to determine correct dependencies for all individual libraries.

    • [DBH] Makefile
    • [DBH] avbuild/common.mak
    • [DBH] avbuild/library.mak
    • [DBH] configure
    • [DBH] tests/checkasm/Makefile
  • lavfi : add a new filtergraph parsing API

    16 janvier 2023, par Anton Khirnov
    lavfi : add a new filtergraph parsing API
    

    Callers currently have two ways of adding filters to a graph - they can
    either
    - create, initialize, and link them manually
    - use one of the avfilter_graph_parse*() functions, which take a
    (typically end-user-written) string, split it into individual filter
    definitions+options, then create filters, apply options, initialize
    filters, and finally link them - all based on information from this
    string.

    A major problem with the second approach is that it performs many
    actions as a single atomic unit, leaving the caller no space to
    intervene in between. Such intervention would be useful e.g. to
    - modify filter options ;
    - supply hardware device contexts ;
    both of which typically must be done before the filter is initialized.

    Callers who need such intervention are then forced to invent their own
    filtergraph parsing, which is clearly suboptimal.

    This commit aims to address this problem by adding a new modular
    filtergraph parsing API. It adds a new avfilter_graph_segment_parse()
    function to parse a string filtergraph description into an intermediate
    tree-like representation (AVFilterGraphSegment and its children).

    This intermediate form may then be applied step by step using further
    new avfilter_graph_segment*() functions, with user intervention possible
    between each step.

    • [DH] doc/APIchanges
    • [DH] libavfilter/avfilter.h
    • [DH] libavfilter/graphparser.c
    • [DH] libavfilter/version.h