April 2017
Beginner to intermediate
250 pages
6h 28m
English
Content preview from Mastering OpenCV 3 - Second Edition
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Evaluation
Our project is finished. However, when we train a machine learning algorithm like OCR, for example, we need to know the best features and parameters to use and how to correct the classification, recognition, and detection errors in our system.
We need to evaluate our system with different situations and parameters and evaluate the errors produced in order to get the best parameters that minimize those errors.
In this chapter, we evaluated the OCR task with variables: size of low-level resolution image feature and the number of hidden neurons in the hidden layer.
We created the evalOCR.cpp application where we uses the XML training data file generated by the trainOCR.cpp application. The OCR.xml file contains the training data matrix ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.