public KMeansCommand()
- (instancetype)init
public KMeansCommand();
public:
KMeansCommand();
__init__() # Default constructor
By default, Clusters is set to 4 and Type to Random
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Core;
public void KMeansCommandExample()
{
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
//Load an image
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "cannon.jpg"));
//Prepare the command
KMeansCommand command = new KMeansCommand();
command.Clusters = 7;
command.Type = KMeansCommandFlags.KMeans_Random;
//Apply
command.Run(image);
}
static class LEAD_VARS
{
public const string ImagesDir = @"C:\LEADTOOLS23\Resources\Images";
}
import java.io.File;
import java.io.IOException;
import org.junit.*;
import org.junit.Test;
import org.junit.runner.JUnitCore;
import org.junit.runner.Result;
import org.junit.runner.notification.Failure;
import static org.junit.Assert.*;
import leadtools.*;
import leadtools.codecs.*;
import leadtools.imageprocessing.core.*;
public void kMeansCommandExample() {
final String LEAD_VARS_IMAGES_DIR = "C:\\LEADTOOLS23\\Resources\\Images";
RasterCodecs codecs = new RasterCodecs();
codecs.setThrowExceptionsOnInvalidImages(true);
// Load an image
RasterImage image = codecs.load(combine(LEAD_VARS_IMAGES_DIR, "cannon.jpg"));
// Prepare the command
KMeansCommand command = new KMeansCommand();
command.setClusters(7);
command.setType(KMeansCommandFlags.KMEANS_RANDOM);
assertTrue(command.getClusters() == 7 && command.getType() == KMeansCommandFlags.KMEANS_RANDOM);
// Apply
command.run(image);
codecs.save(image, combine(LEAD_VARS_IMAGES_DIR, "cannonResult.jpg"), RasterImageFormat.JPEG, 24);
assertTrue(new File(combine(LEAD_VARS_IMAGES_DIR, "cannonResult.jpg")).exists());
System.out.println("Command run and image exported to: " + combine(LEAD_VARS_IMAGES_DIR, "cannonResult.jpg"));
}
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