小编jan*_*777的帖子

在 32 位树莓派上测试使用 64 位机器训练的模型时出现此错误。

这个问题在几年前被问过两次，但仍然没有答案。

1) scikits-learn-randomforrest-trained-on-64bit-python-wont-open-on-32bit-python

2) 32-64-bit-serialization-exception-on-sklearn-randomforest-model 的变通方法

所以要解决这个问题 如果我必须用 32 位训练模型，那么我如何在 64 位机器上为其创建虚拟环境？

Traceback (most recent call last):
  File "main_radar.py", line 49, in <module>
    DT1 = joblib.load('models/DT1.sav')
  File "/usr/local/lib/python2.7/dist-
packages/sklearn/externals/joblib/numpy_pickle.py", line 578, in load
    obj = _unpickle(fobj, filename, mmap_mode)
  File "/usr/local/lib/python2.7/dist-
packages/sklearn/externals/joblib/numpy_pickle.py", line 508, in 
_unpickle
    obj = unpickler.load()
  File "/usr/lib/python2.7/pickle.py", line 858, in load
    dispatch[key](self)
  File "/usr/lib/python2.7/pickle.py", line 1133, in load_reduce
    value = func(*args)
  File "sklearn/tree/_tree.pyx", line 601, in 
sklearn.tree._tree.Tree.__cinit__
ValueError: Buffer dtype mismatch, expected …

我试图使用cv2.waitKey(0)读取键值,但它不起作用.它永远等待.我使用cv2.waitKey(1)检查它返回的内容,无论我按哪个键,它总是255.

while True:
      key = cv2.waitKey(0)
      print(key)

无论我按哪个键,上面的代码都不起作用.

while True:
     key = cv2.waitKey(1) & 0xFF
     print(key)
     if key == ord('q'):
        break

保持打印255,如果按'q'则不会打破.