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 you want

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

:smiley:

Release files for guang 0.0.8.1.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for guang 0.0.8.1.6
File	Size	Uploaded
guang-0.0.8.1.6.tar.gz	112.9 kB	Jun 10, 2021	Details

Built distribution (wheel)

Table of built distributions (wheels) for guang 0.0.8.1.6
File	Interpreter	ABI	Platform	Reset
guang-0.0.8.1.6-py3-none-any.whl 157.4 kB Jun 10, 2021	Python 3	none	any	Details

Total release size: 270.3 kB

Release files / guang-0.0.8.1.6.tar.gz

Download URL	guang-0.0.8.1.6.tar.gz
Size	112.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`0b9c52a4f32f6c9905f68cca944914e3172e5d1d78cd775d2e9ae09ea870faa4`
BLAKE2b-256 checksum How to use checksums	`06f15b86c3b52f01a86fb32ef21d712a00fa2e5396deae9d97cc6ba3bdd32431`
Upload date	Jun 10, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.5`

Release files / guang-0.0.8.1.6-py3-none-any.whl

Download URL	guang-0.0.8.1.6-py3-none-any.whl
Size	157.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`9acf0ccaf4bc80221cd9fc86a7fd2fbfff30ae5ae2977b4993ceeacf38be658f`
BLAKE2b-256 checksum How to use checksums	`800db5f0558ded4acbf71b492a66fcf4fd87cb5205fa6b5baf8e0f1dd12e2e88`
Upload date	Jun 10, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.5`