書(shū)名： Machine Learning for OpenCV
作者名： Michael Beyeler
本章字?jǐn)?shù)： 126字
更新時(shí)間： 2021-07-02 19:47:16

Getting a glimpse of OpenCV's ML module

Starting with OpenCV 3.1, all machine learning-related functions in OpenCV have been grouped into the ml module. This has been the case for the C++ API for quite some time. You can get a glimpse of what's to come by displaying all functions in the ml module:

In [4]: dir(cv2.ml)
Out[4]: ['ANN_MLP_BACKPROP',
         'ANN_MLP_GAUSSIAN',
         'ANN_MLP_IDENTITY',
         'ANN_MLP_NO_INPUT_SCALE',
         'ANN_MLP_NO_OUTPUT_SCALE',
         ...
         '__spec__']

If you have installed an older version of OpenCV, the ml module might not be present. For example, the k-nearest neighbor algorithm (which we will talk about in Chapter 3, First Steps in Supervised Learning) used to be called cv2.KNearest() but is now called cv2.ml.KNearest_create(). In order to avoid confusion throughout the book, I therefore recommend using at least OpenCV 3.1.

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Machine Learning for OpenCV

Getting a glimpse of OpenCV's ML module