def test():
for i in range(10): # how many times I want to get data
t1 = time.time()
cortex = Cortex('./cortex_creds')
asyncio.run(do_stuff(cortex))
cortex.close()
t2 = time.time()
print(t2 - t1)
async def init_cortex(creds): ''' cortex.authorize token return should be stored and checked cortex.queryheadsets should be also stored, since is the same id cortex.create_session and cortex.create_record are still under study, they can remain, but hopefully we'll only need cortex.subscribe with the right configuration ''' if creds is None: raise ValueError(f'No credentials found') cortex = Cortex(creds) await cortex.authorize(license_id=LICENSE_ID,debit=50) await cortex.query_headsets() if len(cortex.headsets) < 1: raise ValueError(f'No headsets found') await cortex.create_session(activate=True,headset_id=cortex.headsets[0]) await cortex.create_record(title="emotiv raw trial") await cortex.subscribe(['eeg']) return cortex
def test():
cortex = Cortex('./cortex_creds')
asyncio.run(do_stuff(cortex))
cortex.close()
def test():
print("hello world")
cortex = Cortex('credentials.txt')
asyncio.run(do_stuff(cortex))
cortex.close()
def run():
cortex = Cortex('./cortex_creds')
asyncio.run(collect_data(cortex))
cortex.close()
def thr2():
cortex = Cortex('./cortex_creds')
asyncio.run(do_stuff(cortex, 1))
cortex.close()
if __name__ == '__main__':
args = parser.parse_args()
test = args.test
model_file = Path(args.model_file)
if not model_file.exists():
raise FileNotFoundError(f"Model file {model_file} does not exist")
model = load_model(str(model_file))
model.compile(optimizer='adam',
loss='categorical_crossentropy',
metrics=model.metrics + ["acc"],
weighted_metrics=model.metrics + ["acc"])
sequence_length = model.layers[0].input_shape[1]
if not test:
cortex = Cortex('./cortex_creds')
loop = asyncio.new_event_loop()
if not test:
cortex = loop.run_until_complete(_init(cortex))
asyncio.set_event_loop(loop)
# new_main_loop()
cozmo.run_program(main_loop)