“如何修复：TypeError __init() 得到了一个与进度条相关的意外关键字参数‘max_value’

Question

我目前正在尝试使用 Mozilla deepspeech 训练语音识别模型。这已经在linux上完成了。 MacOs 从来没有遇到过问题，但现在遇到了问题。

我已经厌倦了两次设置我的虚拟环境来解决这个问题，但它仍然存在。如上所述，我已经在 MacOs 上尝试过，但在 linux 上我似乎遇到了问题。会不会是在 linux 和 mac 上安装 python 依赖的方式不同？

  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/chabani/tmp/deepspeech-train-venv/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/chabani/tmp/deepspeech-train-venv/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/chabani/tmp/deepspeech-train-venv/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/chabani/tmp/deepspeech-train-venv/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/chabani/tmp/deepspeech-train-venv/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
/home/chabani/tmp/deepspeech-train-venv/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/chabani/tmp/deepspeech-train-venv/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/chabani/tmp/deepspeech-train-venv/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/chabani/tmp/deepspeech-train-venv/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/chabani/tmp/deepspeech-train-venv/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/chabani/tmp/deepspeech-train-venv/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
Loading TSV file:  /media/sf_en/train.tsv
Saving new DeepSpeech-formatted CSV file to:  /media/sf_en/clips/train.csv
Importing mp3 files...
Traceback (most recent call last):
  File "bin/import_cv2.py", line 166, in <module>
    _preprocess_data(PARAMS.tsv_dir, AUDIO_DIR, label_filter_fun, PARAMS.space_after_every_character)
  File "bin/import_cv2.py", line 43, in _preprocess_data
    _maybe_convert_set(input_tsv, audio_dir, label_filter, space_after_every_character)
  File "bin/import_cv2.py", line 100, in _maybe_convert_set
    bar = progressbar.ProgressBar(max_value=num_samples, widgets=SIMPLE_BAR)
TypeError: __init__() got an unexpected keyword argument 'max_value```

I expected that the data to train the model would import appropriately but it appears to not do so due to an incompatible progress bar.

Answer 1

您可能在 GNU/Linux (pip install progressbar) 中安装了 progressbar，而不是 progressbar2 (pip install progressbar2)。

前者接受maxval，而progressbar2 处理需要的max_value。

Answer 2

也许您正在使用进度条而不是进度条2

• 注意：在progressbar2中，“ma​​xval”已被弃用，所以，现在我们应该使用 最大值
• 您必须在python3.7环境中运行您的代码以避免错误 因此，使用从系统中卸载以前的进度条 pip3 卸载进度条 然后通过
  安装progressbar2 pip3 安装进度条2 如果你是 linux 用户 采用 sudo pip3 安装进度条2
• 在 cmd 或命令 shell 中运行你的 python 文件 - python3.7 your_file_name.py