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Other articles (23)
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Websites made with MediaSPIP
2 May 2011, byThis page lists some websites based on MediaSPIP.
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Creating farms of unique websites
13 April 2011, byMediaSPIP platforms can be installed as a farm, with a single "core" hosted on a dedicated server and used by multiple websites.
This allows (among other things): implementation costs to be shared between several different projects / individuals rapid deployment of multiple unique sites creation of groups of like-minded sites, making it possible to browse media in a more controlled and selective environment than the major "open" (...) -
Other interesting software
13 April 2011, byWe don’t claim to be the only ones doing what we do ... and especially not to assert claims to be the best either ... What we do, we just try to do it well and getting better ...
The following list represents softwares that tend to be more or less as MediaSPIP or that MediaSPIP tries more or less to do the same, whatever ...
We don’t know them, we didn’t try them, but you can take a peek.
Videopress
Website: http://videopress.com/
License: GNU/GPL v2
Source code: (...)
On other websites (5725)
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lavc/vaapi_encode: grow packet if vaMapBuffer returns multiple buffers
31 May 2019, by Linjie Fulavc/vaapi_encode: grow packet if vaMapBuffer returns multiple buffers
Currently, assigning new buffer for pkt when multiple buffers were returned
from vaMapBuffer will overwrite the previous encoded pkt data and lead
to encode issues.Iterate through the buf_list first to find out the total buffer size
needed for the pkt, allocate the whole pkt to avoid repeated reallocation
and memcpy, then copy data from each buf to pkt.Signed-off-by: Linjie Fu <linjie.fu@intel.com>
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Remove unreachable returns
14 February 2013, by Diego Biurrun -
tf.contrib.signal.stft returns an empty matrix
9 December 2017, by matt-pielatThis is the piece of code I run:
import tensorflow as tf
sess = tf.InteractiveSession()
filename = 'song.mp3' # 30 second mp3 file
SAMPLES_PER_SEC = 44100
audio_binary = tf.read_file(filename)
pcm = tf.contrib.ffmpeg.decode_audio(audio_binary, file_format='mp3', samples_per_second=SAMPLES_PER_SEC, channel_count = 1)
stft = tf.contrib.signal.stft(pcm, frame_length=1024, frame_step=512, fft_length=1024)
sess.close()The mp3 file is properly decoded because
print(pcm.eval().shape)
returns:(1323119, 1)
And there are even some actual non-zero values when I print them with
print(pcm.eval()[1000:1010])
:[[ 0.18793298]
[ 0.16214484]
[ 0.16022217]
[ 0.15918455]
[ 0.16428113]
[ 0.19858395]
[ 0.22861415]
[ 0.2347789 ]
[ 0.22684409]
[ 0.20728172]]But for some reason
print(stft.eval().shape)
evaluates to:(1323119, 0, 513) # why the zero dimension?
And therefore
print(stft.eval())
is:[]
According to this the second dimension of the
tf.contrib.signal.stft
output is equal to the number of frames. Why are there no frames though?