raykit is a python toolkit including a diverse set of useful functions for fast-prototyping in research, which is developed by Anyi Rao.
For fun only ๐๏ธ
pip install raykit
raykit with version odd e.g. 0.0.3
is for simple usage, while version even e.g. 0.0.4
is for pytorch-based usage. you can specifiy it with e.g.
pip install raykit==0.0.3
Requirements pytorch
is needed for even number version.
from raykit.package import *
Usually when we start a python program, we need to import a lot of packages such as argparse, os, os.path as osp, numpy as np
etc. Just simply use from raykit.package import *
, you get all.
When you are at the terminal, you want to check a file quickly but you don't have a GUI. Use the following. With read_txt_list, read_json, read_pkl
, you read a txt as list or a json as dict or a pickle as it be. mmcv have the the similar functionalities, such as mmcv.load('test.json'), mmcv.load('test.yaml'), mmcv.load('test.pkl')
but do not load txt.
With write_txt_list, write_json, write_pkl
, you write as vice versa as above.
With get_folder_list
, you os.listdir
and output the list to a desired location.
With mkdir_ifmiss
, you do not need to use os.makedirs(,exist_ok=True)
.
With strcal(string,num,fill)
you are able to calculate a string type data and a float or int number and zfill it.
to_numpy
and to_torch
quickly transfer the datatype.