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utils.py
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utils.py
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# -*- coding: utf-8 -*-
import logging
import numpy as np
import time
import math
def random_extract(feat, t_max):
r = np.random.randint(len(feat) - t_max)
return feat[r:r + t_max]
def uniform_extract(feat, t_max):
r = np.linspace(0, len(feat) - 1, t_max, dtype=np.uint16)
return feat[r, :]
def pad(feat, min_len):
if np.shape(feat)[0] <= min_len:
return np.pad(feat, ((0, min_len - np.shape(feat)[0]), (0, 0)), mode='constant', constant_values=0)
else:
return feat
def process_feat(feat, length, is_random=True):
if len(feat) > length:
if is_random:
return random_extract(feat, length)
else:
return uniform_extract(feat, length)
else:
return pad(feat, length)
def process_test_feat(feat, length):
tem_len = len(feat)
num = math.ceil(tem_len / length)
if len(feat) < length:
return pad(feat, length)
else:
return pad(feat, num * length)
def Prepare_logger():
logger = logging.getLogger(__name__)
logger.propagate = False
logger.setLevel(logging.INFO)
handler = logging.StreamHandler()
formatter = logging.Formatter('%(asctime)s %(levelname)s %(message)s')
handler.setFormatter(formatter)
handler.setLevel(0)
logger.addHandler(handler)
date = time.strftime('%Y%m%d%H%M', time.localtime(time.time()))
logfile = 'log/' + date + '.log'
file_handler = logging.FileHandler(logfile, mode='w')
file_handler.setLevel(logging.INFO)
formatter = logging.Formatter('%(asctime)s %(levelname)s %(message)s')
file_handler.setFormatter(formatter)
logger.addHandler(file_handler)
return logger