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  • Ajouter notes et légendes aux images

    7 février 2011, par

    Pour pouvoir ajouter notes et légendes aux images, la première étape est d’installer le plugin "Légendes".
    Une fois le plugin activé, vous pouvez le configurer dans l’espace de configuration afin de modifier les droits de création / modification et de suppression des notes. Par défaut seuls les administrateurs du site peuvent ajouter des notes aux images.
    Modification lors de l’ajout d’un média
    Lors de l’ajout d’un média de type "image" un nouveau bouton apparait au dessus de la prévisualisation (...)

  • MediaSPIP v0.2

    21 juin 2013, par

    MediaSPIP 0.2 is the first MediaSPIP stable release.
    Its official release date is June 21, 2013 and is announced here.
    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 (...)

  • HTML5 audio and video support

    13 avril 2011, par

    MediaSPIP uses HTML5 video and audio tags to play multimedia files, taking advantage of the latest W3C innovations supported by modern browsers.
    The MediaSPIP player used has been created specifically for MediaSPIP and can be easily adapted to fit in with a specific theme.
    For older browsers the Flowplayer flash fallback is used.
    MediaSPIP allows for media playback on major mobile platforms with the above (...)

Sur d’autres sites (4260)

  • How can I get my saved mp4 to exactly match the output of plot.show() ?

    10 mai 2019, par Jimmy

    When I try to save the results of an animation to mp4 using ffmpeg, I am getting a jumbled mess.

    plt.show() shows exactly what I want it to show in the animation. However, when I save it using ffmpeg, the result is very different from what plt.show() returns. I have tried various arguments for fps etc. but nothing has helped.

    %matplotlib
    import pandas as pd
    import matplotlib as mpl ## uncomment this if you are running this on a Mac
    #mpl.use('TkAgg')         ## and want to use blit=True
    import matplotlib.pyplot as plt
    import matplotlib.animation as animation
    import numpy as np
    import csv

    people = ('','Jim', 'Dan')
    plt.rcdefaults()
    fig, ax = plt.subplots()
    y_pos = np.arange(len(people))

    ax.set_xlim(0,10)
    ax.set_yticks(y_pos)
    ax.set_yticklabels(people)
    ax.invert_yaxis()
    ax.set_xlabel('Skill')
    titleList=['Basketball','Hockey','Baseball']
    df=[[0,5,7],[0,4,9],[0,2,6]]
    def animate(i):
      # Example data
       while i<3:
           ax.set_yticks(y_pos)
           ax.set_yticklabels(people)
           ax.set_xlabel(titleList[i])
           performance=df[i]

           title = ax.text(0.5,0.95,str(titleList[i]), bbox={'facecolor':'w', 'alpha':0.5, 'pad':5},transform=ax.transAxes, ha="center")

           rects = ax.barh(y_pos, performance, align='center',
                   color='blue', ecolor='None')
           return [rect for rect in rects] + [title]


    ani = animation.FuncAnimation(fig,animate, frames=3, blit=True
                               ,interval=2000,repeat=False)

    plt.rcParams['animation.ffmpeg_path'] = 'C:\\ffmpeg\\bin\\ffmpeg.exe'
    Writer = animation.writers['ffmpeg']
    ani.save('test.mp4')
    plt.show()

    The result is a very fast video where all the data gets written over (similar to the plt.show() results when blit=False).

  • libavdevice/gdigrab : fix ffmpeg -devices doesn't show gdigrab

    17 mai 2019, par Jun Zhao
    libavdevice/gdigrab : fix ffmpeg -devices doesn't show gdigrab
    

    missed the category AV_CLASS_CATEGORY_DEVICE_VIDEO_INPUT lead to
    ffmpeg -devices doesn't show gdigrab as a input device

    FIx #7848

    Found-by : dangibson
    Reviewed-by : Paul B Mahol <onemda@gmail.com>
    Signed-off-by : Jun Zhao <barryjzhao@tencent.com>

    • [DH] libavdevice/gdigrab.c
  • Direct Show Video capture performance

    23 mai 2019, par Barry Andrews

    I originally started out looking for an example of how I can use FFMPEG in c++ builder to create an application to record from usb capture device and playback video because of apparrent poor performance

    I tried Mitov components, Datastead, FFMPEGVCL and winsoft camera which use directshow but their capture performance seemed poor.

    I need to capture 1920x1080 at up to 60fps into a compressed format and play this back later at both normal speed and slow speed.

    What I found was that DirectShow itself has a number of limitations which can be improved by adding things like FFMPEG, but ultimately PC hardware, in particular the HDD and processor limit capture capability.

    1920x1080 60fps is basically the upper end for DirectShow so you need to have best performing hardware in order to achieve this sort of performance @Spektre kindly gave me examples of DirectShow using the API direct which were good for comparison with the purchased components.

    Using this and comparing to the components I found that MITOV has a major issue with regards the larger video sizes and frame rates. Using this 1920x108 30fps and 60fps can be previewed but they have a massive delay between video feed and preview (5 or 6 seconds). The other components performed similar to the API direct method with only minor variations in performance. None were able to capture and record 1920x108 60fps with any sort of compression filter without large frame drops and very jerky preview.