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• avformat : add demuxer for argonaut games' ASF format

  26 janvier 2020, par Zane van Iperen

  avformat : add demuxer for argonaut games' ASF format
  Adds support for the custom ASF container used by some Argonaut Games'
  
  games, such as 'Croc ! Legend of the Gobbos', and 'Croc 2'.
  Can also handle the sample files in :
  
  https://samples.ffmpeg.org/game-formats/brender/part2.zip
  Signed-off-by : Zane van Iperen <zane@zanevaniperen.com>
  

  • [DH] Changelog
  • [DH] libavformat/Makefile
  • [DH] libavformat/allformats.c
  • [DH] libavformat/argo_asf.c
  • [DH] libavformat/version.h

• Cannot Register my dll using regsrv32 but only with Release build, Debug build works ok

  4 février 2020, par kirit

  I am having same problem as this question.

  I have my own Dlls that uses ffmpeg (Ver 0.6.3) dlls (AVCODEC-52.dll, AVFormat-52.dll,.. all build under MinGW using mingw-get-inst-20110530) ..
  I have the dlls and libs in my VC2008 project and it all builds ok in both debug and release mode and also runs ok... but if i try to register using regsvr32 it errors out for release Only (Debug works ok).
  Checking my dll using dependence walker tool shows that this dlls are of readish color and shows CoCreateInstance, CoInitialize ...(i think this are part of old32.dll) are missing..

  Based on the above link looks like some kind of build issue with ffmpeg under minGW.. but details of the solutions is missing.. any help or suggestion are well come.

• 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.
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