argparse包用于解析命令行参数，

import argparse

# parse parameter

parser = argparse.ArgumentParser(description='Client')

parser.add_argument('--ckpt', type=str,

help='test vid list file',default='.')

parser.add_argument('--tsbd', type=str,

help='test vid list file',default='.')

parser.add_argument('--img-shape', type=str,

help='test vid list file',default='56,56,3')

parser.add_argument('--batchsize', type=int,

help='test vid list file',default=5)

parser.add_argument('--model-name', type=str,

help='basemodel',default='resnet50')

parser.add_argument('--datagenerator-nb-workers',type = int,default=10,

help='the number of datagenerator-workers')

parser.add_argument('--max_queue_size',type = int,default=50,

help='t')

parser.add_argument('--GPU',type = str,default= '0',

help="cpuid,such as 0 for single; 0,1,2,3 for multi")

parser.add_argument('--loadweightpath',type = str,default= None,

help="preloadweights")

parser.add_argument('--loadbranchmodelweightpath',type = str,default= None,

help="preloadweights")

parser.add_argument('--loss-ratio',type = str,default= '1,1,1,1',

help="cls1loss:cls2loss:cls3loss:tripleloss")

parser.add_argument('--epoch',type = int,default=20,

help="train epoch")

parser.add_argument('--freeze',type = int ,default=0,

help="freeze=1 :freeze all except fc")

parser.add_argument('--lr',type = float ,default=0.005,

help="learning rate")

parser.add_argument('--max_steps',type = int ,default=50000,

help="steps of iterations")

parser.add_argument('--store_step',type = int ,default=10000,

help="steps of iterations")

parser.add_argument('--last-train',type = bool,default=False,help ="when last train for submit set True")

args = parser.parse_args()

lr = args.lr

loadweightpath = args.loadweightpath

batchsize = args.batchsize

nb_workers = args.datagenerator_nb_workers

max_steps = args.max_steps

store_step = args.store_step

if not loadweightpath == None:

saver.restore(loadweightpath)

print("load weights")