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Machine Learning for OpenCV 4 - Second Edition
book

Machine Learning for OpenCV 4 - Second Edition

by Aditya Sharma, Michael Beyeler (USD), Vishwesh Ravi Shrimali, Michael Beyeler
September 2019
Intermediate to advanced
420 pages
10h 29m
English
Packt Publishing
Content preview from Machine Learning for OpenCV 4 - Second Edition

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_ANNEAL', 'ANN_MLP_BACKPROP', 'ANN_MLP_GAUSSIAN', 'ANN_MLP_IDENTITY', 'ANN_MLP_LEAKYRELU', '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 ...
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Publisher Resources

ISBN: 9781789536300