parser_b.add_argument('-a', type=float, help='model parameter: tf sparseness', default=0.7)
parser_b.add_argument('-b', type=float, help='model parameter: tf scale', default=1.9)
parser_b.add_argument('-decay', type=float, help='model parameter: decay', default=.001)
parser_b.add_argument('-amp', type=float, help='model parameter: scale rgc output', default=.5)
parser_b.add_argument('-mom', type=float, help='momentum', default=.0)
args = parser.parse_args()
if args.daemon:
from cv.daemon.colord import ColorDaemon
app = ColorDaemon()
is_running, pid = app.is_deamon_running(return_pid=True)
if is_running:
print
print 'colord is already running with pid ' + str(pid) + '.'
print 'stop deamon first: $python colord.py stop'
print
exit()
else:
app.job_initialize(args)
app.start()
else:
from cv.train import start_training_from_args
start_training_from_args(args)
