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  • MediaSPIP v0.2

    21 juin 2013, par

    MediaSPIP 0.2 est la première version de MediaSPIP stable.
    Sa date de sortie officielle est le 21 juin 2013 et est annoncée ici.
    Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
    Comme pour la version précédente, 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 (...)

  • 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 (...)

  • 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 (4426)

  • How to visualize matplotlib animation in Jupyter notebook

    23 avril 2020, par anonymous13

    I am trying to create a racing bar chart similar to the one in the link (https://towardsdatascience.com/bar-chart-race-in-python-with-matplotlib-8e687a5c8a41). 
However I am unable to see the animation in my Jupyter notebook

    



    code

    



    import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import matplotlib.animation as animation
from IPython.display import HTML

df = pd.read_csv('https://gist.githubusercontent.com/johnburnmurdoch/4199dbe55095c3e13de8d5b2e5e5307a/raw/fa018b25c24b7b5f47fd0568937ff6c04e384786/city_populations', 
                 usecols=['name', 'group', 'year', 'value'])

current_year = 2018
dff = (df[df['year'].eq(current_year)]
       .sort_values(by='value', ascending=True)
       .head(10))

colors = dict(zip(
    ['India', 'Europe', 'Asia', 'Latin America',
     'Middle East', 'North America', 'Africa'],
    ['#adb0ff', '#ffb3ff', '#90d595', '#e48381',
     '#aafbff', '#f7bb5f', '#eafb50']
))
group_lk = df.set_index('name')['group'].to_dict()


fig, ax = plt.subplots(figsize=(15, 8))
def draw_barchart(year):
    dff = df[df['year'].eq(year)].sort_values(by='value', ascending=True).tail(10)
    ax.clear()
    ax.barh(dff['name'], dff['value'], color=[colors[group_lk[x]] for x in dff['name']])
    dx = dff['value'].max() / 200
    for i, (value, name) in enumerate(zip(dff['value'], dff['name'])):
        ax.text(value-dx, i,     name,           size=14, weight=600, ha='right', va='bottom')
        ax.text(value-dx, i-.25, group_lk[name], size=10, color='#444444', ha='right', va='baseline')
        ax.text(value+dx, i,     f'{value:,.0f}',  size=14, ha='left',  va='center')
    # ... polished styles
    ax.text(1, 0.4, year, transform=ax.transAxes, color='#777777', size=46, ha='right', weight=800)
    ax.text(0, 1.06, 'Population (thousands)', transform=ax.transAxes, size=12, color='#777777')
    ax.xaxis.set_major_formatter(ticker.StrMethodFormatter('{x:,.0f}'))
    ax.xaxis.set_ticks_position('top')
    ax.tick_params(axis='x', colors='#777777', labelsize=12)
    ax.set_yticks([])
    ax.margins(0, 0.01)
    ax.grid(which='major', axis='x', linestyle='-')
    ax.set_axisbelow(True)
    ax.text(0, 1.12, 'The most populous cities in the world from 1500 to 2018',
            transform=ax.transAxes, size=24, weight=600, ha='left')
    ax.text(1, 0, 'by @pratapvardhan; credit @jburnmurdoch', transform=ax.transAxes, ha='right',
            color='#777777', bbox=dict(facecolor='white', alpha=0.8, edgecolor='white'))
    plt.box(False)

draw_barchart(2018)

import matplotlib.animation as animation
from IPython.display import HTML
fig, ax = plt.subplots(figsize=(15, 8))
animator = animation.FuncAnimation(fig, draw_barchart, frames=range(1968, 2019))
HTML(animator.to_jshtml()) 



    



    Below is what I tried using and the errors

    



    HTML(animator.to_jshtml())  <-- Static output with buttons unable to visualize animation
plt.rcParams["animation.html"] = "jshtml"  <- no error and output
HTML(animator.to_html5_video())  <---Requested MovieWriter (ffmpeg) not available 



    



    Note I have FFmpeg installed in my system.
Can you help me with the issue

    


  • FFmpeg - PCM audio direct copy error

    24 décembre 2013, par Yehudi

    I try to use FFmpeg to redirect a rtp/rtsp streaming from one server to another. But it seems has some problem on my audio copy of PCM. My usage is

    ffmpeg -re -max_delay 500000 -i rtsp://admin:password@192.168.2.2/h264 -vcodec copy -acodec copy -f rtsp -muxdelay 0.1 rtsp://192.168.2.6/livetest/live.sdp

    and got the result :

    ffmpeg version N-59275-g9b195dd Copyright (c) 2000-2013 the FFmpeg developers
     built on Dec 21 2013 22:01:05 with gcc 4.8.2 (GCC)
     configuration: --enable-gpl --enable-version3 --disable-w32threads --enable-av
    isynth --enable-bzlib --enable-fontconfig --enable-frei0r --enable-gnutls --enab
    le-iconv --enable-libass --enable-libbluray --enable-libcaca --enable-libfreetyp
    e --enable-libgsm --enable-libilbc --enable-libmodplug --enable-libmp3lame --ena
    ble-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-l
    ibopus --enable-librtmp --enable-libschroedinger --enable-libsoxr --enable-libsp
    eex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvo-aa
    cenc --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libwavp
    ack --enable-libx264 --enable-libxavs --enable-libxvid --enable-zlib
     libavutil      52. 58.101 / 52. 58.101
     libavcodec     55. 45.103 / 55. 45.103
     libavformat    55. 22.100 / 55. 22.100
     libavdevice    55.  5.102 / 55.  5.102
     libavfilter     4.  0.100 /  4.  0.100
     libswscale      2.  5.101 /  2.  5.101
     libswresample   0. 17.104 /  0. 17.104
     libpostproc    52.  3.100 / 52.  3.100
    [h264 @ 02869300] sps_id out of range
       Last message repeated 1 times
    [h264 @ 02869300] non-existing PPS referenced
    [h264 @ 02869300] non-existing PPS 0 referenced
    [h264 @ 02869300] decode_slice_header error
    [h264 @ 02869300] no frame!
    Guessed Channel Layout for  Input Stream #0.1 : mono
    Input #0, rtsp, from 'rtsp://admin:password@192.168.2.2/h264':
     Metadata:
       title           : Network Camera Live Session
     Duration: N/A, start: 0.000000, bitrate: 64 kb/s
       Stream #0:0: Video: h264 (Main), yuv420p, 1280x720, 29.97 tbr, 90k tbn, 180k
    tbc
       Stream #0:1: Audio: pcm_mulaw, 8000 Hz, mono, s16, 64 kb/s
    [rtp @ 04ae1020] Cannot respect max delay: frame size = 0
    Output #0, rtsp, to 'rtsp://192.168.2.6/livetest/live.sdp':
     Metadata:
       title           : Network Camera Live Session
       encoder         : Lavf55.22.100
       Stream #0:0: Video: h264, yuv420p, 1280x720, q=2-31, 90k tbn, 90k tbc
       Stream #0:1: Audio: pcm_mulaw, 8000 Hz, mono, 64 kb/s
    Stream mapping:
     Stream #0:0 -> #0:0 (copy)
     Stream #0:1 -> #0:1 (copy)
    Press [q] to stop, [?] for help
    [rtp @ 04ae1020] Application provided invalid, non monotonically increasing dts
    to muxer in stream 0: 1605 >= 1605
    av_interleaved_write_frame(): Invalid argument

    The major errors are

    ....
    [rtp @ 04ae1020] Cannot respect max delay: frame size = 0
    ...
    [rtp @ 04ae1020] Application provided invalid, non monotonically increasing dts
       to muxer in stream 0: 1605 >= 1605
       av_interleaved_write_frame(): Invalid argument

    Do not understand why the direct audio copy would cause this error, could someone kindly prompt how to fix it ?

    Thanks

  • Announcing Long Term Support in Piwik 2 – The analytics platform for your mission critical projects

    11 janvier 2016, par Matthieu Aubry — About, Development

    We are proud to announce our Long Term Support (LTS) for Piwik 2.X !

    Why Long Term Support (LTS) ?

    Part of our mission is to ready Piwik for the enterprise — and ready the enterprise for Piwik. Our fast release cycle and our ability to quickly innovate has served us well for the past seven years and has lead Piwik to being one of the most popular open source projects, used by over one million websites worldwide. But Piwik’s success today has also shown us that this fast release cycle is not suited for all users and customers. Like most large open source projects (such as Ubuntu, Firefox, Debian, Symfony, Node.js, etc.) at Piwik we now also offer a Long Term Support release which gives users the confidence that Piwik can be used for mission critical projects for months to come.

    What does LTS mean for Piwik ?

    For the duration of the LTS period, Piwik 2.X will continue to receive the following fixes :

    • Critical bugs causing data loss or data corruption.
    • Major and Critical security issues.

    Our goal is to offer you a Piwik LTS release that you can trust for all your mission critical projects.

    How long will Piwik 2.X be supported ?

    Piwik 2.X will be supported for at least 12 months after the initial release of Piwik 3.0.0.
    Piwik 3.0.0 is expected to be released in the second half of 2016.
    This means that Piwik 2.X will be supported at least until the second half of 2017.

    Which Piwik version is LTS ?

    The latest Piwik 2.16.X release is our Long Term Support version.

    How do I benefit from the LTS version ?

    To get the full benefits of Piwik LTS, please make sure you are using the latest LTS version. First, update to the latest Piwik 2.X version, then Configure Piwik to use the LTS release channel and then update to the latest LTS version.

    How do I configure Piwik to use the LTS version ?

    By default, Piwik will not use the LTS version. When you use the one-click update your Piwik instance will be updated to the very latest release : when Piwik 3.0.0 will be released, the one click update will update your instance to 3.0.0. It is however possible to configure your Piwik so that you will stay on Piwik 2.X and keep using the LTS Long Term Support version :

    • Login Piwik as the Super User,
    • Go to Settings > General > Update settings,
    • Under “Release channel” click “Latest stable 2.X Long Term Support version”, and click “Save”.

    How do I get professional Piwik Support ?

    If you need professional support for your Piwik service get in touch with the Piwik experts.


    For other questions, feedback or discussion, feel free to join our forums and comment on this LTS forum post.

    We wish you all a fantastic year 2016 !