January 2018
Intermediate to advanced
268 pages
6h 20m
English
Content preview from OpenCV 3.x with Python By Example - Second Edition
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How to implement an ANN-MLP classifier?
After all that theoretical explanation on how to implement an ANN, we will implement it ourself. For that, and as we did also in the SVM classifier, we will download the training images from the same source Caltech256, http://www.vision.caltech.edu/Image_Datasets/Caltech256. We will start with a few items, easily extendable to many other, creating a folder, images, with a subfolder for each of the categories that we will classify: dresses, footwear, and bagpack. We will take a bunch of images for each of them; around 20-25 images should be enough for the training, and on top of that we will include another set of sample images, which we will use for evaluating the accuracy of our network after the ...
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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.
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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.