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Des sites réalisés avec MediaSPIP
2 mai 2011, parCette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page. -
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 -
Changer son thème graphique
22 février 2011, parLe thème graphique ne touche pas à la disposition à proprement dite des éléments dans la page. Il ne fait que modifier l’apparence des éléments.
Le placement peut être modifié effectivement, mais cette modification n’est que visuelle et non pas au niveau de la représentation sémantique de la page.
Modifier le thème graphique utilisé
Pour modifier le thème graphique utilisé, il est nécessaire que le plugin zen-garden soit activé sur le site.
Il suffit ensuite de se rendre dans l’espace de configuration du (...)
Sur d’autres sites (13327)
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Animation speed adjustment using ffmpeg in Python
5 novembre 2015, par neither-norI’m been for years using stock ffmpeg script to sequentially snitch together temporal plots in Python. However, I cannot figure out the trivial issue of how to, for instance, slow down the animation speed so that the resultant video file has a longer duration.
Example :
import matplotlib.pyplot as plt
import os, sys
for t in range(100):
plt.cla()
plt.text(0.5, 0.5, 'time %02d'%(t+1))
plt.draw()
fname = '_tmp%02d.png'%(t+1)
plt.savefig(fname)
os.system("ffmpeg -i _tmp%02d.png -pix_fmt yuv420p -r 20 -b:v 20M flipbook.mp4")
os.system("rm _tmp*.png")The resulting "flip book" takes 4s and the time stamp increases steadily. However, I tried to make the animation last twice as long by testing the following :
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Change
20
after-r
to1
: this still lasts 4s but now the time stamp "leaps" nonlinearly -
Change
20M
to1M
: no discernible effect
I can’t find much information about this line of code, either the usage of each flag or how to modify aspects of it (e.g.,speed).
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swresample/resample : speed up build_filter by 50%
4 novembre 2015, par Ganesh Ajjanagaddeswresample/resample : speed up build_filter by 50%
This speeds up build_filter by 50%. This gain should be pretty
consistent across all architectures and platforms.Essentially, this relies on a observation that the filters have some
even/odd symmetry that may be exploited during the construction of the
polyphase filter bank. In particular, phases (scaled to [0, 1]) in [0.5, 1] are
easily derived from [0, 0.5] and expensive reevaluation of function
points are unnecessary. This requires some rather annoying even/odd
bookkeeping as can be seen from the patch.I vaguely recall from signal processing theory more general symmetries allowing even greater
optimization of the construction. At a high level, "even functions"
correspond to 2, and one can imagine variations. Nevertheless, for the sake
of some generality and because of existing filters, this is all that is
being exploited.Currently, this patch relies on phase_count being even or (trivially) 1,
though this is not an inherent limitation to the approach. This
assumption is safe as phase_count is 1 << phase_bits, and is hence a
power of two. There is no way for user API to set it to a nontrivial odd
number. This assumption has been placed as an assert in the code.To repeat, this assumes even symmetry of the filters, which is the most common
way to get generalized linear phase anyway and is true of all currently
supported filters.As a side note, accuracy should be identical or perhaps slightly better
due to this "forcing" filter symmetries leading to a better phase
characteristic. As before, I can’t test this claim easily, though it may
be of interest.Patch tested with FATE.
Sample benchmark (x86-64, Haswell, GNU/Linux) :
test : swr-resample-dblp-44100-2626
new :
527376779 decicycles in build_filter(loop 1000), 256 runs, 0 skips
524361765 decicycles in build_filter(loop 1000), 512 runs, 0 skips
516552574 decicycles in build_filter(loop 1000), 1024 runs, 0 skipsold :
974178658 decicycles in build_filter(loop 1000), 256 runs, 0 skips
972794408 decicycles in build_filter(loop 1000), 512 runs, 0 skips
954350046 decicycles in build_filter(loop 1000), 1024 runs, 0 skipsNote that lower level optimizations are entirely possible, I focussed on
getting the high level semantics correct. In any case, this should
provide a good foundation.Reviewed-by : Michael Niedermayer <michael@niedermayer.cc>
Signed-off-by : Ganesh Ajjanagadde <gajjanagadde@gmail.com> -
aacenc_ltp : adjust and speed up autocorrelation calculations
17 octobre 2015, par Rostislav Pehlivanov