def main():
parser = argparser.ArgumentParser()
parser.add_argument("--src_img", type=str,
help = "source directory of original images",
default = "./images")
parser.add_argument("--src_label", type=str,
help = "source directory of orginal labels",
default = "./labels" )
parser.add_argument("--dest", type=str,
help = "output directory",
default = "./results")
args = parser.parse_args()
Aug = Augmentor(args.src_img, args.src_label, args.dest)
Aug.handle()
import argparser
if __name__ == '__main__':
parser = argparser.ArgumentParser(description='Demo of argparse')
# add positional variable, which will be parsed at same position/ order in which it is defined
parser.add_argument('num1', help='Number 1',
type=float) # by default, type is string
# python file.py 800
# add optional variable, which will be parsed in any order as long as variable is defined
parser.add_argument('--num1', help='Number 1', type=float, dafault='100.0')
# python file.py --num1 80
# add optional variable, which will be parsed in any order as long as variable is defined
parser.add_argument('-n',
'--num1',
help='Number 1',
type=float,
dafault='100.0')
# python file.py -n=80
# python file.py --help
# To clean help query
parser.add_argument('-n',
'--num1',
metavar="",
help='Number 1',
type=float,
dafault='100.0')
# python file.py -n=80
import argparser
def main(args):
train_file =
if __name__ == "__main__":
parser = argparser.ArgumentParser(
description=__doc__,
formatter_class = argparser.RawDescriptionHelpFormatter
)
parser.add_argument('-train_file','--train_file',dtype=str,default="/home4/data/zhengquan/from_huangbo/lr_feature_select/new_data/train_ins_continues.txt")
parser.add_argument('-test_file','--test_file',dtype=str,default="/home4/data/zhengquan/from_huangbo/lr_feature_select/new_data/eval_ins_continues.txt")
args = parser.parse_args()
#!/usr/bin/env python
# encoding: utf-8
import os, sys
from twython import TwythonStreamer
import time
import argparser
argsfuc = argparser.ArgumentParser(description="Twitter Downloader")
argsfuc.add_argument('-kwf',
dest='kwf',
default='./keyword_list.txt',
help='the keywords file')
argsv = argsfuc.parse_args()
APP_KEY = ""
APP_SECRET = ""
OAUTH_TOKEN = ""
OAUTH_TOKEN_SECRET = ""
class MyStreamer(TwythonStreamer):
destfile = 'None'
'''
A sample of data jason:
{u'quote_count': 0,
u'contributors': None,
u'truncated': True,
u'text': u'#cybersecurity #mustread BellaButler14RT SachinLulla: The DDoS Attack Against Dyn One Year Later\u2026 https://t.co/1KZNxndMZr',
u'is_quote_status': False,
u'in_reply_to_status_id': None,
logger.add_scalar('lr', optim.param_groups[0]['lr'], epoch)
logger.add_scalar('epoch_acc/train', train_acc, epoch)
logger.add_scalar('epoch_loss/train', train_loss, epoch)
print(f"Epoch {epoch} train accuracy {train_acc:.4f}")
print(f"Epoch {epoch} train loss {train_loss:.4f}")
test_acc, test_loss = test(model, test_loader, criterion, logger, epoch, cfg['use_cuda'])
print(f"Epoch {epoch} test accuracy {test_acc:.4f}")
print(f"Epoch {epoch} test loss {test_loss:.4f}")
logger.add_scalar('epoch_acc/test', test_acc, epoch)
logger.add_scalar('epoch_loss/test', test_loss, epoch)
scheduler.step()
# Save best metrics
if best_metrics['acc'] < test_acc:
best_model = model
best_metrics['acc'] = test_acc
best_metrics['loss'] = test_loss
utils.save_state(os.path.join(cfg['checkpoint']['log_dir'],
cfg['checkpoint']['model_path']),
model, optim, epoch, best_model, best_metrics)
logger.flush()
if __name__ == "__main__":
import argparser
parser = argparser.ArgumentParser()
parser.add_argument('config', required=True, type=str, help="Config Yaml file")
with open(args.config, 'r') as f:
cfg = yaml.load(f, yaml.Loader)
run(cfg)
def getArguments():
parser = argparser.ArgumentParser()
parser.add_argument("-t", "--target", dest=target,
help="Target IP / IP range.")
options = parser.parse_args()
return options