def clean_up(): GPIO.clean_up()
ap.add_argument("-p", "--pin", required=True, help="signal input pin")
ap.add_argument("-e", "--exec", required=True, help="command to exec")
ap.add_argument("-d", "--debounce", default=2, help="debounce time")
ap.add_argument("-i",
"--init",
choices=["down", "up"],
default="down",
help="down or up")
args = vars(ap.parse_args())
last = time.time()
pin = int(args['pin'])
wait = int(args['debounce'])
exec_id = args['exec']
GPIO.setmode(GPIO.BOARD)
pull_type = GPIO.PUD_DOWN if (args['init'] == "down") else GPIO.PUD_UP
GPIO.setup(pin, GPIO.IN, pull_up_down=pull_type)
GPIO.add_event_detect(pin,
GPIO.BOTH,
callback=lambda ch: detect(ch, wait, exec_id),
bouncetime=500)
#app = make_app()
#app.listen(5000)
#tornado.ioloop.IOLoop.current().start()
while True:
sleep(1)
GPIO.clean_up()
kl.train(train_gen,
val_gen,
saved_model_path=model_path,
steps=steps_per_epoch,
train_split=cfg.TRAIN_TEST_SPLIT)
if __name__ == '__main__':
args = docopt(__doc__)
cfg = dk.load_config()
try:
if args['drive']:
drive(cfg, model_path = args['--model'], use_joystick=args['--js'])
elif args['train']:
tub = args['--tub']
model = args['--model']
cache = not args['--no_cache']
train(cfg, tub, model)
except (KeyboardInterrupt,SystemExit):
GPIO.clean_up()
raise
