opencv的最新更新是not stated at all in the documentation。
这个最小的例子应该足以向你展示这个过程是如何工作的。实际上，当前的OpenCV Python Package 器看起来更像C版本，而且你现在直接使用cv2.FileStorage，而不是cv2.cv.Save和cv2.cv.Load。
Python cv2.FileStorage现在是它自己的文件处理器，就像它在C中一样。在C++中，如果你想用FileStorage write 到一个文件，你需要做以下事情：

cv::FileStorage opencv_file("test.xml", cv::FileStorage::WRITE);
cv::Mat file_matrix;
file_matrix = (cv::Mat_<int>(3, 3) << 1, 2, 3,
                                      3, 4, 6,
                                      7, 8, 9);
opencv_file << "my_matrix" << file_matrix
opencv_file.release();

要 * 阅读 *，您需要执行以下操作：

cv::FileStorage opencv_file("test.xml", cv::FileStorage::READ);
cv::Mat file_matrix;
opencv_file["my_matrix"] >> file_matrix;
opencv_file.release();

在Python中，如果你想写，你必须做以下事情：

# Notice how it’s almost exactly the same. Imagine cv2 is the namespace for cv.
# In C++, the only difference is FILE_STORGE_WRITE is exposed directly in cv2
cv_file = cv2.FileStorage("test.xml", cv2.FILE_STORAGE_WRITE)
# Creating a random matrix
matrix = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print("write matrix\n", matrix)
# This corresponds to a key value pair, and internally OpenCV takes your NumPy
# object and transforms it into a matrix just 
# like you would do with << in C++
cv_file.write("my_matrix", matrix)
# Note you *release*; you don't close() a FileStorage object
cv_file.release()

如果你想然后 * 阅读 * 矩阵，这是一个有点做作。

# Just like before, we specify an enum flag, but this time it is
# FILE_STORAGE_READ
cv_file = cv2.FileStorage("test.xml", cv2.FILE_STORAGE_READ)
# For some reason __getattr__ doesn't work for FileStorage object in Python.
# However, in the C++ documentation, getNode, which is also available,
# does the same thing.
# Note we also have to specify the type to retrieve, otherwise we only get a
# FileNode object back instead of a matrix
matrix = cv_file.getNode("my_matrix").mat()
print("read matrix\n", matrix)
cv_file.release()

读取和写入Python示例的输出应为：

write matrix
 [[1 2 3]
 [4 5 6]
 [7 8 9]]

read matrix
 [[1 2 3]
 [4 5 6]
 [7 8 9]]

XML看起来像这样：

<?xml version="1.0"?>
<opencv_storage>
<my_matrix type_id="opencv-matrix">
  <rows>3</rows>
  <cols>3</cols>
  <dt>i</dt>
  <data>
    1 2 3 4 5 6 7 8 9</data></my_matrix>
</opencv_storage>