In predict.py, I get an error when I try to initialize the listener:
import collections
import myo as libmyo
from myo import Hub
import threading
import time
import numpy as np
import tensorflow as tf
from include.model import model
x, y, output, global_step, y_pred_cls = model()
saver = tf.train.Saver()
_SAVE_PATH = "./data/tensorflow_sessions/myo_armband/"
sess = tf.Session()
try:
print("Trying to restore last checkpoint ...")
last_chk_path = tf.train.latest_checkpoint(checkpoint_dir=_SAVE_PATH)
print(last_chk_path)
saver.restore(sess, save_path=last_chk_path)
print("Restored checkpoint from:", last_chk_path)
except:
print("Failed to restore checkpoint. Initializing variables instead.")
sess.run(tf.global_variables_initializer())
class MyListener(libmyo.DeviceListener):
def __init__(self, queue_size=8):
self.lock = threading.Lock()
self.emg_data_queue = collections.deque(maxlen=queue_size)
def on_connect(self, device, timestamp, firmware_version):
device.set_stream_emg(libmyo.StreamEmg.enabled)
def on_emg_data(self, device, timestamp, emg_data):
with self.lock:
self.emg_data_queue.append((timestamp, emg_data))
def get_emg_data(self):
with self.lock:
return list(self.emg_data_queue)
libmyo.init()
hub = Hub()
start = time.time()
temp = []
try:
listener = MyListener()
hub.run(2000, listener) ---> ERROR
while True:
data = listener.get_emg_data()
if time.time() - start >= 1:
response = np.argmax(np.bincount(temp))
print("Predicted gesture: {0}".format(response))
temp = []
start = time.time()
if len(data) > 0:
tmp = []
for v in listener.get_emg_data():
tmp.append(v[1])
tmp = list(np.stack(tmp).flatten())
if len(tmp) >= 64:
pred = sess.run(y_pred_cls, feed_dict={x: np.array([tmp])})
temp.append(pred[0])
time.sleep(0.01)
finally:
sess.close()
hub.run(2000, listener)
File "C:\Python35\lib\site-packages\myo_python-1.0.3-py3.5.egg\myo_ffi.py", line 527, in run
TypeError: expected callable or DeviceListener
I had the same problem. Use the myo lib v1.0.0a21 and the myo-python lib v0.2.2. The newer versions of myo-python changed the syntax and name of some classes, hence this problem.
In predict.py, I get an error when I try to initialize the listener:
What could be the reason?