Ejemplo n.º 1
0
def main():
	# We create an argument parser
	arg_parser = arguments.create_argument_parser()

	# We parse the arguments
	args = arg_parser.parse_args(sys.argv[1:])
	arguments.process_arguments(args, arg_parser)

	# If the verbose mode is on, we display the arguments
	if args.verbose:
		arguments.print_arguments(args)

	# We open the database file where the proxies will be stored
	connection, cursor = database.initialize_database(args.database_file)

	try:
		# We generate the proxies
		for proxy in parser.generate_proxy(args):
			# And we store them in the database
			database.insert_in_database(cursor, proxy)
	except KeyboardInterrupt:
		if args.verbose:
			print('')
			print('[warn] received interruption signal')

	# We save the changes made to the database, and close the file
	connection.commit()
	connection.close()

	return 0
Ejemplo n.º 2
0
def main():
    # We create an argument parser
    arg_parser = arguments.create_argument_parser()

    # We parse the arguments
    args = arg_parser.parse_args(sys.argv[1:])
    arguments.process_arguments(args, arg_parser)

    # If the verbose mode is on, we display the arguments
    if args.verbose:
        arguments.print_arguments(args)

    # We open the database file where the proxies will be stored
    connection, cursor = database.initialize_database(args.database_file)

    try:
        # We generate the proxies
        for proxy in parser.generate_proxy(args):
            # And we store them in the database
            database.insert_in_database(cursor, proxy)
    except KeyboardInterrupt:
        if args.verbose:
            print('')
            print('[warn] received interruption signal')

    # We save the changes made to the database, and close the file
    connection.commit()
    connection.close()

    return 0
Ejemplo n.º 3
0
def main():
    # We create an argument parser
    arg_parser = arguments.create_argument_parser()

    # We parse the arguments
    args = arg_parser.parse_args(sys.argv[1:])
    arguments.process_arguments(args, arg_parser)

    # If the verbose mode is on, we display the arguments
    if args.verbose:
        arguments.print_arguments(args)

    if args.database_file is not None and args.text_file is None:
        # We open the database file where the proxies will be stored
        connection, cursor = database.initialize_database(args.database_file)

        try:
            # We generate the proxies
            for proxy in parser.generate_proxy(args):
                # And we store them in the database
                database.insert_in_database(cursor, proxy)
        except KeyboardInterrupt:
            if args.verbose:
                print('')
                print('[warn] received interruption signal')

        # We save the changes made to the database, and close the file
        connection.commit()
        connection.close()

        return 0

    # Write to text file with priority
    elif args.text_file is not None or args.text_file is not None and args.database_file is not None:
        with open(args.text_file, 'w') as tf:
            for proxy in parser.generate_proxy(args):
                proxy_line = proxy[2].lower() + '://' + str(
                    proxy[0]) + ':' + str(proxy[1]) + '\n'
                tf.write(proxy_line)
    elif args.database_file is None and args.text_file is None:
        return 'Please specify output file!'
Ejemplo n.º 4
0
# model name
model_name = '{}_nlayer{}_{}_lr{}_batch{}_momentum{}_schedule{}_nepoch{}_{}'.format(
        args.name,
        args.nlayer,
        args.optimizer,
        args.lr,
        args.batch_size,
        args.momentum,
        args.schedule,
        args.nepochs,
        args.arch
    )
logger = make_logger(log_file=model_name)
logger.info("saved model name "+model_name)        

arguments.print_arguments(args, logger)


multi_gpu = args.multi_gpu
set_gpu_num = args.gpu_num

if torch.cuda.is_available():
    print("gpu", torch.cuda.current_device(), torch.cuda.get_device_name())
else:
    print("cpu")
    
#----- model -----
if args.arch =='hrnet':
    model = get_pose_hrnet()
else:
    if args.flatten: