Python package for daily Tasks
Project description
from iman import *
1-plt
2-now() (get time)
3-F (format floating point)
4-D (format int number)
5-Write_List(MyList,Filename)
6-Write_Dic(MyDic,Filename)
7-Read(Filename) (read txt file)
8-Read_Lines(Filename) (read txt file line by line and return list)
9-Write(_str,Filename)
10-gf(pattern) (Get files in a directory)
11-gfa(directory , ext=”.”) (Get Files in a Directory and SubDirectories)
12-ReadE(Filename) (Read Excel files)
13-PM(dir)(creat directory)
14-PB(fname)(get basename)
15-PN(fname) (get file name)
16-PE(fname)(get ext)
17-PD(fname)(get directory)
18-PS(fname)(get size)
19-PJ(segments) (Join Path)
20-clear() (clear cmd)
21-os
22-np
23-RI(start_int , end_int , count=1) (random int)
24-RF(start_float , end_float , count=1) (random float)
25-RS(Arr) (shuffle)
26-LJ(job_file_name)
27-SJ(value , job_file_name)
28-LN(np_file_name)
29-SN(arr , np_file_name)
from iman import Audio
1-Read(filename,sr)
2-Resample(data , fs, sr)
3-Read_Alaw(filename)
4-ReadMp3(filename,sr,mono=True)
5-Write(filename, data ,fs)
6-frame(y)
7-split(y)
from iman import info
1-get() info about cpu and gpu (need torch)
2-cpu() (get cpu percentage usage)
3-gpu() (get gpu memory usage)
4-memory() (get ram usage GB)
5-plot(fname=”log.txt” , delay=1)
from iman import metrics
1-EER(lab,score)
2-cosine_distance(v1,v2)
3-roc(lab,score)
4-wer(ref, hyp)
5-cer(ref, hyp)
6-wer_list(ref_list , hyp_list)
7-cer_list(ref_list , hyp_list)
from iman import tsne
1-plot(fea , label)
from iman import xvector
1-xvec,lda_xvec,gender = get(filename , model(model_path , model_name , model_speaker_num))
from iman import web
1-change_wallpaper()
2-dl(url)
from iman import matlab
1-np2mat(param , mat_file_name)
2-dic2mat(param , mat_file_name)
3-mat2dic (mat_file_name)
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