Guang

Universal function library of scientific calculation.

Requirements

Python 3
CUDA >= 10.0
PyTorch >= 1.0
Tensorflow >= 1.12.0
opencv-python
pydub
librosa
pyworld
soundfile
pypinyin
pomegranate
python-Levenshtein
streamlit
pyprobar
fire

Installation

# Before install `guang`, you need to have all the requirements installed.
pip install guang

​ Nightly Build

git clone https://github.com/beidongjiedeguang/guang.git
cd guang
python ./night_workflow.py

Examples

• Convert audio in .mp3/ .wav format to (sample rate=16k, single channel) .wav format

  Use in bash/shell

  guang cvt2wav INPUT OUTPUT

  Use as function

  from guang.Voice.convert import cvt2wav
  cvt2wav(input_name, output_name, sr=16000)
  
  # Multi-process
  from guang.Voice.convert import multi_cvt2wav 
  multi_cvt2wav(PATH1, PATH2,sr=16000, n_cpu=None)

• Let the video play at N times speed (install ffmpeg first)

  guang av_speed inputname outputname N --cut_frame=False

• Fourier visualization

  guang fourier

• Fourier draw anything

  

• FFT convolution

  from guang.sci import fft
  A = np.random.rand(100, 100)
  B = np.random.rand(100, 100)
  fft.fft_conv2d(A, B)

• Use dict_dotable to convert a dictionary to dot-able dictionary:

  from guang.Utils.toolsFunc import dict_dotable
  a = {'a':{'b':1}}
  a = dict_dotable(a)
  print(a.a.b)
  
  >> 1

• Use probar to display current progress has separated to pyprobar

  from guang.Utils.bar import bar, probar
  for idx, x in probar(range(10)):
      time.sleep(0.8)
  
  >> 100.00% |█████████████████████████████| 0'7.2"|0'7.2" ETC: 12-2 23:59:8
  
  N = 1024
  a = np.linspace(2, 5, N)
  for idx, i in enumerate(a):
      time.sleep(0.01)
      bar(idx, N)
  >> 100.00% |█████████████████████████████| 0:00:00|0:00:10  ETC: 02-19 20:33:34 

• @broadcast broadcast a non-broadcast function.

  from guang.Utils.toolsFunc import broadcast
  
  @broadcast
  def f(x):
      # A function that can map only a single element
      if x==1 or x==0:
          return x
      else:
          return f(x-1)+f(x-2)
  
  >> f([2,4,10])
  >> array([1, 3, 832040], dtype=object)

• download download files from google drive.

  from guang.Utils.google import download
  url = "https://drive.google.com/open?id=1eU57Fkv1DBEOqi-iOs1AebD02FqVDY23"
  outname = "filename.zip"
  download(url, outname)

• txt2ph Convert Chinese characters to phoneme.

  from guang.Voice.txt2pinyin import txt2ph
  txt2ph('你好，我是光')
  
  >> [('n', 'i3'), ('h', 'ao3'), ('sp1',), ('uo3',), ('sh', 'ii4'), ('g', 'uang1')]

• reduce_from_duration Remove files with duration less than least_time seconds. Note that this function does not work in the interactive interpreter because it uses multiprocessing.pool.Pool

  from guang.Voice.reduce import reduce_from_duration
  
  reduced_list = reduce_from_duration(path_list, least_time=2)
  print(len(path_list), len(reduced_list))
  
  >> (6889, 6714)

• Find NOT silence part of a sound file: find_no_silence

  from guang.Voice.reduce import find_no_silence
  start, end, arg_start, arg_end = find_no_silence(filename)

• Download wechat files.

  from guang.wechat.Utils.download import downloads
  downloads(nickName='caloi', fileType='mp3', d_t=60)

• Plots 3D Scatter:

  from guang.Utils.plotly import Scatter3d
  from guang.Utils.interesting import Lorenz
  trace = Lorenz.Trace()
  x,y,z = trace[:,0], trace[:,1], trace[:,2]
  
  fig = Scatter3d()
  fig.scatter3d(x,y,z,mode="lines+markers",color_line=z,color_marker=None,marker_size=2)
  fig.show()

  

• Data dimension reduction:

  cd guang/ML/manifold
  python test_digits.py

  

  python test_s_curve

  

• 😃