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utils.py
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utils.py
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import os
import logging
import numpy as np
import matplotlib.pyplot as plt
def create_logger(save_path='', file_type='', level='debug', console=True):
if level == 'debug':
_level = logging.DEBUG
elif level == 'info':
_level = logging.INFO
logger = logging.getLogger()
logger.setLevel(_level)
if console:
cs = logging.StreamHandler()
cs.setLevel(_level)
logger.addHandler(cs)
if save_path != '':
file_name = os.path.join(save_path, file_type + '_log.txt')
fh = logging.FileHandler(file_name, mode='w')
fh.setLevel(_level)
logger.addHandler(fh)
return logger
def print_args(args, logger=None):
for k, v in vars(args).items():
if logger is not None:
logger.info('{:<16} : {}'.format(k, v))
else:
print('{:<16} : {}'.format(k, v))
def plot_single_curve(path, name, point, freq=1, xlabel='Epoch',ylabel=None):
x = (np.arange(len(point)) + 1) * freq
plt.plot(x, point, color='purple')
plt.xlabel(xlabel)
if ylabel is None:
ylabel = name
plt.ylabel(ylabel)
plt.savefig(os.path.join(path, name + '.png'))
plt.close()
def plot_curves(path, name, point_list, curve_names=None, freq=1, xlabel='Epoch',ylabel=None):
if curve_names is None:
curve_names = [''] * len(point_list)
else:
assert len(point_list) == len(curve_names)
x = (np.arange(len(point_list[0])) + 1) * freq
if len(point_list) <= 10:
cmap = plt.get_cmap('tab10')
else:
cmap = plt.get_cmap('tab20')
for i, (point, curve_name) in enumerate(zip(point_list, curve_names)):
assert len(point) == len(x)
plt.plot(x, point, color=cmap(i), label=curve_name)
plt.xlabel(xlabel)
if ylabel is not None:
plt.ylabel(ylabel)
plt.legend()
plt.savefig(os.path.join(path, name + '.png'))
plt.close()