读取文件
[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
pad=1
activation=leaky
# Downsample
[convolutional]
batch_normalize=1
filters=64
size=3
stride=2
pad=1
activation=leaky
file = open(file, 'r')
lines = file.read().split('/n')
#相比file.readlines()会自动去掉换行符
lines = [x for x in lines if len(x) > 0]
#去掉空白字符串
lines = [x for x in lines if x[0] != '#']
#去掉#xxxx行
#得到'='两边字符串
key, value = line.split('=')