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Sintel MP4 Surround 5.1 Full
13 mai 2011, par
Mis à jour : Février 2012
Langue : English
Type : Video
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Participer à sa traduction
10 avril 2011Vous pouvez nous aider à améliorer les locutions utilisées dans le logiciel ou à traduire celui-ci dans n’importe qu’elle nouvelle langue permettant sa diffusion à de nouvelles communautés linguistiques.
Pour ce faire, on utilise l’interface de traduction de SPIP où l’ensemble des modules de langue de MediaSPIP sont à disposition. ll vous suffit de vous inscrire sur la liste de discussion des traducteurs pour demander plus d’informations.
Actuellement MediaSPIP n’est disponible qu’en français et (...) -
Publier sur MédiaSpip
13 juin 2013Puis-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 -
Les statuts des instances de mutualisation
13 mars 2010, parPour des raisons de compatibilité générale du plugin de gestion de mutualisations avec les fonctions originales de SPIP, les statuts des instances sont les mêmes que pour tout autre objets (articles...), seuls leurs noms dans l’interface change quelque peu.
Les différents statuts possibles sont : prepa (demandé) qui correspond à une instance demandée par un utilisateur. Si le site a déjà été créé par le passé, il est passé en mode désactivé. publie (validé) qui correspond à une instance validée par un (...)
Sur d’autres sites (9049)
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avcodec/jpeg2000dec : Make decoder init-threadsafe
7 mai 2021, par Andreas Rheinhardtavcodec/jpeg2000dec : Make decoder init-threadsafe
The JPEG-2000 decoder and encoder share common luts ; the decoder
initializes them once, guarded by a dedicated AVOnce, whereas
the encoder initializes them always during init. This means that
the decoder is not init-threadsafe ; in fact there is a potential
data race because these luts can be initialized while an active
decoder/encoder is using them.Fix this and make the decoder init-threadsafe by making the
initialization function guard initialization itself with a dedicated
AVOnce.Signed-off-by : Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
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avcodec/mqc : Hardcode tables to save space
7 mai 2021, par Andreas Rheinhardtavcodec/mqc : Hardcode tables to save space
mqc currently initializes three arrays at runtime ; each of them
has 2 * 47 elements, one is uint16_t, two are uint8_t, so that their
combined size is 8 * 47. The source data for these initializations
is contained in an array of 47 elements of size six. Said array is
only used in order to initialize the other arrays, so the savings
are just 2 * 47B. Yet this is dwarfed by the size of the code for
performing the initializations : It is 109B (GCC 10.2, x64, -O3 albeit
in an av_cold function) ; this does not even include the size of the
code in the callers. So just hardcode these tables.This also fixes a data race, because the encoder always initialized
these tables during init, although they might already be used at the
same time by already running encoder/decoder instances.Signed-off-by : Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
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Ffmpeg is installed, but I get the exception : You do not have ffmpeg installed on your machine
13 janvier 2023, par Tin KommenI've searched for hours for a solution, but I haven't found one yet. Maybe someone here knows what is going wrong.


I'm trying to make a Bar Chart Race in Python. Although I have downloaded and installed Ffmpeg,
I keep on getting multiple errors :


MovieWriter ffmpeg unavailable; using Pillow instead.
 Traceback (most recent call last):
 File "/Users/___/PycharmProjects/data_visualization/venv/lib/python3.6/site- packages/matplotlib/animation.py", line 251, in saving
 yield self
 File "/Users/___/PycharmProjects/data_visualization/venv/lib/python3.6/site- packages/matplotlib/animation.py", line 1161, in save
 writer.grab_frame(**savefig_kwargs)
 File "/Users/____/PycharmProjects/data_visualization/venv/lib/python3.6/site- packages/matplotlib/animation.py", line 549, in grab_frame
 renderer = self.fig.canvas.get_renderer()
 AttributeError: 'FigureCanvasBase' object has no attribute 'get_renderer'

 During handling of the above exception, another exception occurred:

 Traceback (most recent call last):
 File "/Users/___/PycharmProjects/data_visualization/venv/lib/python3.6/site- packages/bar_chart_race/_make_chart.py", line 435, in make_animation
 ret_val = anim.save(self.filename, fps=self.fps, writer=self.writer)
 File "/Users/___/PycharmProjects/data_visualization/venv/lib/python3.6/site- packages/matplotlib/animation.py", line 1161, in save
 writer.grab_frame(**savefig_kwargs)
 File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/contextlib.py", line 100, in __exit__
 self.gen.throw(type, value, traceback)
 File "/Users/___/PycharmProjects/data_visualization/venv/lib/python3.6/site- packages/matplotlib/animation.py", line 253, in saving
 self.finish()
 File "/Users/____/PycharmProjects/data_visualization/venv/lib/python3.6/site- packages/matplotlib/animation.py", line 554, in finish
 self._frames[0].save(
 IndexError: list index out of range

 During handling of the above exception, another exception occurred:

 Exception: You do not have ffmpeg installed on your machine. Download
 ffmpeg from here: https://www.ffmpeg.org/download.html.
 Matplotlib's original error message below:
 list index out of range



I've tried installing ffmpeg with conda, pip and homebrew. When I check the version, i get the following :


ffmpeg version 4.2.3 Copyright (c) 2000-2020 the FFmpeg developers
 built with clang version 9.0.1
 configuration: --prefix=/Users/___/opt/miniconda3 --cc=x86_64-apple-darwin13.4.0-clang --disable-doc --disable-openssl --enable-avresample --enable-gnutls --enable-gpl --enable-hardcoded-tables --enable-libfreetype --enable-libopenh264 --enable-libx264 --enable-pic --enable-pthreads --enable-shared --enable-static --enable-version3 --enable-zlib --enable-libmp3lame
 libavutil 56. 31.100 / 56. 31.100
 libavcodec 58. 54.100 / 58. 54.100
 libavformat 58. 29.100 / 58. 29.100
 libavdevice 58. 8.100 / 58. 8.100
 libavfilter 7. 57.100 / 7. 57.100
 libavresample 4. 0. 0 / 4. 0. 0
 libswscale 5. 5.100 / 5. 5.100
 libswresample 3. 5.100 / 3. 5.100
 libpostproc 55. 5.100 / 55. 5.100



Here is the code :


import numpy as np
 import pandas as pd
 import bar_chart_race as bcr
 import os



 df = pd.read_csv('/Users/____/Documents/data/dummy_data.csv', delimiter=';', encoding="utf-8-sig")
 bcr.bar_chart_race(
 df=df,
 filename='test_win2.mov',
 orientation='h',
 sort='desc',
 n_bars=8,
 fixed_order=False,
 fixed_max=False,
 steps_per_period=50,
 interpolate_period=False,
 label_bars=True,
 bar_size=.95,
 period_label={'x': .99, 'y': .25, 'ha': 'right', 'va': 'center'},
 period_summary_func=lambda v, r: {'x': .99, 'y': .18,
 's': f'Totaal: {v.nlargest(8).sum():,.0f}',
 'ha': 'right', 'size': 8, 'family': 'Courier New'},
 perpendicular_bar_func='median',
 figsize=(3.5, 3),
 period_length=100,
 dpi=300,
 cmap='dark12',
 title='Title?',
 title_size='',
 bar_label_size=4,
 tick_label_size=4,
 shared_fontdict={'family': 'Helvetica', 'color': '.1'},
 scale='linear',
 writer=None,
 fig=None,
 bar_kwargs={'alpha': .3},
 filter_column_colors=False)