Sur d’autres sites (8617)

• Anomalie #4540 : Accessibilité des boutons radios et checkboxes

  31 août 2020, par nicod _

  La première chose à faire serait de définir le markup et la ou les classes css et de mettre à jour la doc officielle (https://www.spip.net/fr_article3791.html), pour pouvoir démarrer les modifications sur le core et sur le plugin saisies en même temps.

  L’exemple que j’ai posté me parait suffisant en terme de html, je propose d’utiliser simplement une classe fieldset_choix, qui permet de les cibler :

  <span class="CodeRay"><span class="tag">span> <span class="attribute-name">class</span>=<span class="string"><span class="delimiter">"</span><span class="content">editer-groupe</span><span class="delimiter">"</span></span><span class="tag">></span>
  
    ...
  
    <span class="tag">span> <span class="attribute-name">class</span>=<span class="string"><span class="delimiter">"</span><span class="content">editer editer_radio</span><span class="delimiter">"</span></span><span class="tag">></span>
  
      <span class="tag">span> <span class="attribute-name">class</span>=<span class="string"><span class="delimiter">"</span><span class="content">fieldset_choix</span><span class="delimiter">"</span></span><span class="tag">></span>
  
      <span class="tag"><legend></legend></span>Label des boutons radios<span class="tag"></span>
  
         <span class="tag">span> <span class="attribute-name">class</span>=<span class="string"><span class="delimiter">"</span><span class="content">choix choix_choix1</span><span class="delimiter">"</span></span><span class="tag">></span>
  
  </span></span></span></span></span>

• avcodec : add decoder for argonaut games' adpcm codec

  26 janvier 2020, par Zane van Iperen

  avcodec : add decoder for argonaut games' adpcm codec
  Adds support for the ADPCM variant used by some Argonaut Games' games,
  
  such as 'Croc ! Legend of the Gobbos', and 'Croc 2'.
  Signed-off-by : Zane van Iperen <zane@zanevaniperen.com>
  

  • [DH] Changelog
  • [DH] doc/general.texi
  • [DH] libavcodec/Makefile
  • [DH] libavcodec/adpcm.c
  • [DH] libavcodec/allcodecs.c
  • [DH] libavcodec/avcodec.h
  • [DH] libavcodec/codec_desc.c
  • [DH] libavcodec/version.h

• How to create a spectrogram image from an audio file in Python just like how FFMPEG does ?

  2 mai 2020, par hamandishe Mk

  My code :

  



  import matplotlib.pyplot as plt
from matplotlib.pyplot import specgram
import librosa
import librosa.display
import numpy as np
import io
from PIL import Image

samples, sample_rate = librosa.load('thabo.wav')
fig = plt.figure(figsize=[4, 4])
ax = fig.add_subplot(111)
ax.axes.get_xaxis().set_visible(False)
ax.axes.get_yaxis().set_visible(False)
ax.set_frame_on(False)
S = librosa.feature.melspectrogram(y=samples, sr=sample_rate)
librosa.display.specshow(librosa.power_to_db(S, ref=np.max))
buf = io.BytesIO()
plt.savefig(buf,  bbox_inches='tight',pad_inches=0)

# plt.close('all')
buf.seek(0)
im = Image.open(buf)
# im = Image.open(buf).convert('L')
im.show()
buf.close()


  



  Spectrogram produced

  



  

  



  Using FFMPEG

  



  ffmpeg -i thabo.wav -lavfi showspectrumpic=s=224x224:mode=separate:legend=disabled spectrogram.png

  



  Spectrogram produced

  



  

  



  Please help, i want a spectrogram that is exactly the same as the one produced by FFMPEG, for use with a speech recognition model exported from google's teachable machine.
Offline recognition