basicsr.utils.logger

class basicsr.utils.logger.AvgTimer(window=200)

Bases: object

get_avg_time()

get_current_time()

record()

start()

class basicsr.utils.logger.MessageLogger(opt, start_iter=1, tb_logger=None)

Bases: object

Message logger for printing.

Parameters:

• opt (dict) – Config. It contains the following keys: name (str): Exp name. logger (dict): Contains ‘print_freq’ (str) for logger interval. train (dict): Contains ‘total_iter’ (int) for total iters. use_tb_logger (bool): Use tensorboard logger.

• start_iter (int) – Start iter. Default: 1.

• (obj (tb_logger) – tb_logger): Tensorboard logger. Default： None.

reset_start_time()

basicsr.utils.logger.get_env_info()

Get environment information.

Currently, only log the software version.

basicsr.utils.logger.get_root_logger(logger_name='basicsr', log_level=20, log_file=None)

Get the root logger.

The logger will be initialized if it has not been initialized. By default a StreamHandler will be added. If log_file is specified, a FileHandler will also be added.

Parameters:

• logger_name (str) – root logger name. Default: ‘basicsr’.

• log_file (str | None) – The log filename. If specified, a FileHandler will be added to the root logger.

• log_level (int) – The root logger level. Note that only the process of rank 0 is affected, while other processes will set the level to “Error” and be silent most of the time.

Returns:

The root logger.

Return type:

logging.Logger

basicsr.utils.logger.init_tb_logger(log_dir)

basicsr.utils.logger.init_wandb_logger(opt)

We now only use wandb to sync tensorboard log.