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Hands-On Java Deep Learning for Computer Vision
book

Hands-On Java Deep Learning for Computer Vision

by Klevis Ramo
February 2019
Intermediate to advanced content levelIntermediate to advanced
260 pages
6h 3m
English
Packt Publishing
Content preview from Hands-On Java Deep Learning for Computer Vision

Basic coding

Now, let's have a quick look at the Java code doing the convolution, and then build the Java application with the six filter types we have already seen, along with some different images of course.

This is the main class, EdgeDetection:

package ramo.klevis.ml;import javax.imageio.ImageIO;import java.awt.*;import java.awt.image.BufferedImage;import java.io.File;import java.io.IOException;import java.util.HashMap;public class EdgeDetection {

We'll start by defining the six filters, with their values, that we saw in the previous section:

public static final String HORIZONTAL_FILTER = "Horizontal Filter";public static final String VERTICAL_FILTER = "Vertical Filter";public static final String SOBEL_FILTER_VERTICAL = "Sobel Vertical ...
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Publisher Resources

ISBN: 9781789613964Supplemental Content