質問編集履歴
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書式の使い方を誤り，また伝わりにくい質問をしてしまいました．大変，失礼致しました．
test
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attempt to get argmax of an empty sequence
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attempt to get argmax of an empty sequenceのエラーを直し行列値を取得したいです．
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### 前提・実現したいこと
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ここに質問の内容を詳しく書いてください。
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現在，Pythonのtensorflowでprdict.pyという未知の値を予測するためのart neural netのコードを書いています．
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argmax の値が空というエラーが出ており，行列値が取得できません．
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直接，値を入れたりとしたのですが（temp = [1, 1, 2]のように），違うような感じがします．下にコードをを記載させていただきますが、temp = [] という部分がおそらくエラーの原因ではないかと考えております．
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また，参考に致しましたソースコードは以下のリンクのものです．（predict.py)
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https://github.com/exelban/myo-armband-nn
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エラー文は以下のようなものです
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ValueError: attempt to get argmax of an empty sequence
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よろしければ，ぜひご教示頂きたいです．何卒，よろしく，お願いいたします．
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### 発生している問題・エラーメッセージ
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エラーメッセージ
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```
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Failed to restore checkpoint. Initializing variables instead.
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Traceback (most recent call last):
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File "C:\Users\ユーザー名\Desktop\myo-python-1.0.4\myo-armband-nn-master\predict.py", line 57, in <module>
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response = np.argmax(np.bincount(temp))
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File "<_arry_function_internals>", line 6, in argmax
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return_wrapfunc(a, 'argmax', axis=axis, out=out)
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File "C:\Program Files\Python36\lib\site-packages\numpy\core\fromnumeric.py", line 56, in _wrapfunc
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return bound(*args, **kwds)
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ValueError:attempt to get argmax of an empty sequence
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[Finished in 8.365s]
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### 該当のソースコード
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``````
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import collections
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import myo
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import threading
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import time
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import numpy as np
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import tensorflow as tf
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from include.model import model
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x, y, output, global_step, y_pred_cls = model()
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saver = tf.train.Saver()
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_SAVE_PATH = "C:/Users/ユーザー名/Desktop/myo-python-1.0.4/myo-armband-nn-master/data/tensorflow_sessions/myo_armband/"
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#"./data/tensorflow_sessions/myo_armband/"
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sess = tf.Session()
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try:
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print("Trying to restore last checkpoint ...")
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last_chk_path = tf.train.latest_checkpoint(checkpoint_dir=_SAVE_PATH)
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print(last_chk_path)
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saver.restore(sess, save_path=last_chk_path)
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print("Restored checkpoint from:", last_chk_path)
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except:
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print("Failed to restore checkpoint. Initializing variables instead.")
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sess.run(tf.global_variables_initializer())
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class MyListener(myo.DeviceListener):
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def __init__(self, queue_size=8):
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self.lock = threading.Lock()
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self.emg_data_queue = collections.deque(maxlen=queue_size)
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def on_connect(self, device, timestamp, firmware_version):
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device.set_stream_emg(myo.StreamEmg.enabled)
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def on_emg_data(self, device, timestamp, emg_data):
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with self.lock:
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self.emg_data_queue.append((timestamp, emg_data))
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def get_emg_data(self):
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with self.lock:
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return list(self.emg_data_queue)
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myo.init('C:/Users/ユーザー名/Desktop/myo-python-1.0.4/myo64.dll')
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hub = myo.Hub()
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start = time.time()
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temp = [] ☚ ここではないかと思います．
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try:
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listener = MyListener()
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hub.run(listener, 2000)
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while True:
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data = listener.get_emg_data()
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if time.time() - start >= 1:
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response = np.argmax(np.bincount(temp))
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print("Predicted gesture: {0}".format(response))
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temp = []
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start = time.time()
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if len(data) > 0:
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tmp = []
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for v in listener.get_emg_data():
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tmp.append(v[1])
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tmp = list(np.stack(tmp).flatten())
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if len(tmp) >= 64:
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pred = sess.run(y_pred_cls, feed_dict={x: np.array([tmp])})
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temp.append(pred[0])
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time.sleep(0.01)
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finally:
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sess.close()
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```
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コード
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```
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# -*- coding: utf-8 -*-
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"""
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Created on Tue Aug 25 14:53:03 2020
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@author: tazawa
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"""
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import collections
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import myo
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import threading
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import time
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import numpy as np
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import tensorflow as tf
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from include.model import model
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x, y, output, global_step, y_pred_cls = model()
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saver = tf.train.Saver()
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_SAVE_PATH = "./data/tensorflow_sessions/myo_armband/"
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sess = tf.Session()
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try:
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print("Trying to restore last checkpoint ...")
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last_chk_path = tf.train.latest_checkpoint(checkpoint_dir=_SAVE_PATH)
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print(last_chk_path)
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saver.restore(sess, save_path=last_chk_path)
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print("Restored checkpoint from:", last_chk_path)
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except:
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print("Failed to restore checkpoint. Initializing variables instead.")
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sess.run(tf.global_variables_initializer())
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class MyListener(myo.DeviceListener):
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def __init__(self, queue_size=8):
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self.lock = threading.Lock()
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self.emg_data_queue = collections.deque(maxlen=queue_size)
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def on_connect(self, device, timestamp, firmware_version):
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device.set_stream_emg(myo.StreamEmg.enabled)
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def on_emg_data(self, device, timestamp, emg_data):
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with self.lock:
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self.emg_data_queue.append((timestamp, emg_data))
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def get_emg_data(self):
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return list(self.emg_data_queue)
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myo.init(bin_path=r'C:\Users\田澤龍之介\Desktop\myo-sdk-win-0.9.0\bin')
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hub = myo.Hub()
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start = time.time()
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temp = [] # ☚ここではないかと
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try:
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listener = MyListener()
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hub.run(listener, 2000)
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while True:
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data = listener.get_emg_data()
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if time.time() - start >= 1:
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response = np.argmax(np.bincount(temp))
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print("Predicted gesture: {0}".format(response))
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temp = []
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start = time.time()
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if len(data) > 0:
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tmp = []
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for v in listener.get_emg_data():
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tmp.append(v[1])
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tmp = list(np.stack(tmp).flatten())
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if len(tmp) >= 64:
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pred = sess.run(y_pred_cls, feed_dict={x: np.array([tmp])})
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temp.append(pred[0])
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time.sleep(0.01)
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finally:
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#hub.shutdown()
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sess.close()
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### 試したこと
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213
|
おそらくtemp[]の表現の仕方が間違っていると推測し，直接行列値を代入などしましたが，うまくいきませんでした．
|
|
196
214
|
|
|
197
|
-
|
|
215
|
+
|
|
198
216
|
|
|
199
217
|
|
|
200
218
|
|