Python常用函数及常用库整理笔记

class X(object): def __init__(self, a, b, range): self.a = a self.b = b self.range = range def __del__(self, a, b, range): del self.a del self.b del self.range def __call__(self, a, b): self.a = a self.b = b print('__call__ with （{}, {}）'.format(self.a, self.b)) >>> xInstance = X(1, 2, 3) >>> xInstance(1,2) __call__ with (1, 2) >>> del X

elements = ('foo', 'bar', 'baz') >>> for elem in elements: ...     print elem ... foo bar baz >>> for count, elem in enumerate(elements): ...     print count, elem ... 0 foo 1 bar 2 baz >>> for count, elem in enumerate(elements, 42): ...     print count, elem ... 42 foo 43 bar 44 baz

#对序列进行操作（分别使用' '与':'作为分隔符） >>> seq1 = ['hello','good','boy','doiido'] >>> print(' '.join(seq1)) hello good boy doiido >>> print(':'.join(seq1)) hello:good:boy:doiido #对字符串进行操作 >>> seq2 = "hello good boy doiido" >>> print(':'.join(seq2)) h:e:l:l:o: :g:o:o:d: :b:o:y: :d:o:i:i:d:o #对元组进行操作 >>> seq3 = ('hello','good','boy','doiido') >>> print(':'.join(seq3)) hello:good:boy:doiido #对字典进行操作 >>> seq4 = {'hello':1,'good':2,'boy':3,'doiido':4} >>> print(':'.join(seq4)) boy:good:doiido:hello

class tqdm(object): """ Decorate an iterable object, returning an iterator which acts exactly like the original iterable, but prints a dynamically updating progressbar every time a value is requested. """ def __init__(self, iterable=None, desc=None, total=None, leave=False, file=sys.stderr, ncols=None, mininterval=0.1, maxinterval=10.0, miniters=None, ascii=None, disable=False, unit='it', unit_scale=False, dynamic_ncols=False, smoothing=0.3, nested=False, bar_format=None, initial=0, gui=False):

import time from tqdm import tqdm, trange #trange(i)是tqdm(range(i))的一种简单写法 for i in trange(100): time.sleep(0.05) for i in tqdm(range(100), desc='Processing'): time.sleep(0.05) dic = ['a', 'b', 'c', 'd', 'e'] pbar = tqdm(dic) for i in pbar: pbar.set_description('Processing '+i) time.sleep(0.2) 100%|██████████| 100/100 [00:06<00:00, 16.04it/s] Processing: 100%|██████████| 100/100 [00:06<00:00, 16.05it/s] Processing e: 100%|██████████| 5/5 [00:01<00:00,  4.69it/s]

import time from tqdm import tqdm with tqdm(total=200) as pbar: pbar.set_description('Processing:') # total表示总的项目, 循环的次数20*10(每次更新数目) = 200(total) for i in range(20): # 进行动作, 这里是过0.1s time.sleep(0.1) # 进行进度更新, 这里设置10个 pbar.update(10) Processing:: 100%|██████████| 200/200 [00:02<00:00, 91.94it/s]

# my_project/config.py from yacs.config import CfgNode as CN _C = CN() _C.SYSTEM = CN() # Number of GPUS to use in the experiment _C.SYSTEM.NUM_GPUS = 8 # Number of workers for doing things _C.SYSTEM.NUM_WORKERS = 4 _C.TRAIN = CN() # A very important hyperparameter _C.TRAIN.HYPERPARAMETER_1 = 0.1 # The all important scales for the stuff _C.TRAIN.SCALES = (2, 4, 8, 16) def get_cfg_defaults(): """Get a yacs CfgNode object with default values for my_project.""" # Return a clone so that the defaults will not be altered # This is for the "local variable" use pattern return _C.clone() # Alternatively, provide a way to import the defaults as # a global singleton: # cfg = _C  # users can `from config import cfg`

GPUS: (0,1,2,3) OUTPUT_DIR: 'output' CUDNN: ENABLED: true MODEL: NAME: 'yolo' PRETRAINED: 'xx.pth' EXTRA: FINAL_CONV_KERNEL: 1 STAGE2: NUM_MODULES: 1

import os from yacs.config import CfgNode as CN class config(): def __init__(self): self.cfg = CN() self.cfg.GPUS= (0,1,2,3) self.cfg.OUTPUT_DIR= 'output' self.cfg.CUDNN=CN() self.cfg.CUDNN.ENABLED=True self.cfg.MODEL=CN() self.cfg.MODEL.NAME='' self.cfg.MODEL.PRETRAINED='' self.cfg.MODEL.EXTRA=CN() self.cfg.MODEL.EXTRA.FINAL_CONV_KERNEL=0 self.cfg.MODEL.EXTRA.STAGE2=CN() self.cfg.MODEL.EXTRA.STAGE2.NUM_MODULES=0 def get_cfg(self): return  self.cfg.clone() def load(self,config_file): self.cfg.OUTPUT_DIR = '' self.cfg.defrost() self.cfg.merge_from_file(config_file) self.cfg.freeze() if __name__ == '__main__': cc=config() cc.load("test.yaml") print(cc.cfg) print(cc.get_defalut_cfg()) 

import logging def setLog(): log_file = 'L:/log/console.log' head = '%(asctime)-15s %(message)s' logging.basicConfig(filename=str(log_file), format=head) logger = logging.getLogger() logger.setLevel(logging.INFO) console = logging.StreamHandler() logging.getLogger('').addHandler(console) return logger if __name__ == '__main__': logger = setLog() logger.info('input message')