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How to use getPercentage method of com.galenframework.rainbow4j.ImageCompareResult class

Best Galen code snippet using com.galenframework.rainbow4j.ImageCompareResult.getPercentage

Source:Rainbow4JTest.java

...48        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/test-spectrum-black-white-1.png").getFile());49        Spectrum spectrum = Rainbow4J.readSpectrum(image, 64);50        51        Assert.assertEquals(spectrum.getPrecision(), 64);52        Assert.assertEquals((int)spectrum.getPercentage(255,255,255, 0), 68);53        Assert.assertEquals((int) spectrum.getPercentage(0, 0, 0, 0), 31);54        Assert.assertEquals((int) spectrum.getPercentage(128, 128, 128, 0), 0);55        Assert.assertEquals((int) spectrum.getPercentage(254, 254, 254, 0), 68);56        Assert.assertEquals((int) spectrum.getPercentage(253, 253, 253, 0), 68);57        Assert.assertEquals((int) spectrum.getPercentage(254, 254, 254, 5), 68);58        Assert.assertEquals((int) spectrum.getPercentage(254, 250, 254, 10), 68);59    }60    @Test61    public void shouldRead_imageSpectrum_withPredefinedColorClassifiers() throws IOException {62        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/colo-scheme-gradient.png").getFile());63        List<ColorClassifier> colorClassifiers = asList(64            new GradientColorClassifier("green-blue", asList(new Color(5, 153, 0), new Color(9, 24, 184))),65            new SimpleColorClassifier("pink", new Color(252, 18, 53)),66            new SimpleColorClassifier("blue", new Color(21, 2, 230))67        );68        CustomSpectrum spectrum = Rainbow4J.readCustomSpectrum(image, colorClassifiers);69        assertThat(spectrum.getCollectedColors(), is(new HashMap<String, Integer>() {{70            put("green-blue", 10000);71            put("pink", 10000);72            put("blue", 10000);73        }}));74        assertThat(spectrum.getOtherColors(), is(10000));75        assertThat(spectrum.getTotalPixels(), is(40000));76    }77    @Test78    public void shouldRead_imageSpectrum_withPredefinedColorClassifiers_inSpecifiedArea() throws IOException {79        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/colo-scheme-gradient.png").getFile());80        List<ColorClassifier> colorClassifiers = asList(81                new GradientColorClassifier("green-blue", asList(new Color(5, 153, 0), new Color(9, 24, 184)))82        );83        CustomSpectrum spectrum = Rainbow4J.readCustomSpectrum(image, colorClassifiers, new Rectangle(0, 0, 100, 100));84        assertThat(spectrum.getCollectedColors(), is(new HashMap<String, Integer>(){{85            put("green-blue", 10000);86        }}));87        assertThat(spectrum.getOtherColors(), is(0));88        assertThat(spectrum.getTotalPixels(), is(10000));89    }90    @Test91    public void shouldRead_imageSpectrum_withPredefinedColorClassifiers_inSpecifiedArea_2() throws IOException {92        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/colo-scheme-gradient.png").getFile());93        List<ColorClassifier> colorClassifiers = asList(94                new GradientColorClassifier("green-blue", asList(new Color(5, 153, 0), new Color(9, 24, 184)))95        );96        CustomSpectrum spectrum = Rainbow4J.readCustomSpectrum(image, colorClassifiers, new Rectangle(0, 0, 100, 100));97        assertThat(spectrum.getCollectedColors(), is(new HashMap<String, Integer>(){{98            put("green-blue", 10000);99        }}));100        assertThat(spectrum.getOtherColors(), is(0));101        assertThat(spectrum.getTotalPixels(), is(10000));102    }103    @Test104    public void shouldRead_imageSpectrum_withPredefinedColorClassifiers_inSpecifiedArea_3() throws IOException {105        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/colo-scheme-gradient.png").getFile());106        List<ColorClassifier> colorClassifiers = asList(107                new GradientColorClassifier("green-blue", asList(new Color(6, 120, 46), new Color(8, 56, 138)))108        );109        CustomSpectrum spectrum = Rainbow4J.readCustomSpectrum(image, colorClassifiers, new Rectangle(0, 0, 100, 100));110        assertThat(spectrum.getCollectedColors(), is(new HashMap<String, Integer>(){{111            put("green-blue", 5780);112        }}));113        assertThat(spectrum.getOtherColors(), is(4220));114        assertThat(spectrum.getTotalPixels(), is(10000));115    }116    @Test117    public void shouldRead_imageSpectrum_withPredefinedColorClassifiers_inSpecifiedArea_4() throws IOException {118        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/colo-scheme-gradient.png").getFile());119        List<ColorClassifier> colorClassifiers = asList(120                new SimpleColorClassifier("pink", new Color(252, 18, 53))121        );122        CustomSpectrum spectrum = Rainbow4J.readCustomSpectrum(image, colorClassifiers, new Rectangle(100, 0, 100, 100));123        assertThat(spectrum.getCollectedColors(), is(new HashMap<String, Integer>(){{124            put("pink", 10000);125        }}));126        assertThat(spectrum.getOtherColors(), is(0));127        assertThat(spectrum.getTotalPixels(), is(10000));128    }129    @Test130    public void shouldRead_imageSpectrum_fromPNG() throws IOException {131        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/test-spectrum-black-white-1.png").getFile());132        Spectrum spectrum = Rainbow4J.readSpectrum(image);133        Assert.assertEquals((int)spectrum.getPercentage(255,255,255, 0), 67);134        Assert.assertEquals((int)spectrum.getPercentage(0, 0, 0, 0), 30);135        Assert.assertEquals((int)spectrum.getPercentage(128,128,128, 0), 0);136        Assert.assertEquals((int) spectrum.getPercentage(254, 254, 254, 0), 0);137        Assert.assertEquals((int) spectrum.getPercentage(254, 254, 254, 1), 68);138        Assert.assertEquals((int) spectrum.getPercentage(254, 250, 254, 10), 68);139    }140    141    @Test142    public void shouldRead_imageSpectrum_fromJPG() throws IOException {143        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/test-spectrum-black-white-1.jpg").getFile());144        Spectrum spectrum = Rainbow4J.readSpectrum(image);145        Assert.assertEquals((int)spectrum.getPercentage(255,255,255, 0), 67);146        Assert.assertEquals((int)spectrum.getPercentage(0, 0, 0, 0), 30);147        Assert.assertEquals((int)spectrum.getPercentage(128,128,128, 0), 0);148        Assert.assertEquals((int)spectrum.getPercentage(254,254,254, 0), 0);149        Assert.assertEquals((int)spectrum.getPercentage(254,254,254, 1), 68);150        Assert.assertEquals((int)spectrum.getPercentage(254,250,254, 10), 68);151    }152    @Test153    public void shouldRead_image_fromStream() throws IOException {154        BufferedImage image = Rainbow4J.loadImage(getClass().getResourceAsStream("/color-scheme-image-1.png"));155        Assert.assertEquals(image.getWidth(), 778);156        Assert.assertEquals(image.getHeight(), 392);157    }158    159    @Test160    public void shouldRead_imageSpectrum_fromPNG_2() throws IOException {161        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/color-scheme-image-1.png").getFile());162        Spectrum spectrum = Rainbow4J.readSpectrum(image);163        Assert.assertEquals((int)spectrum.getPercentage(58, 112, 208, 5), 8);164        Assert.assertEquals((int)spectrum.getPercentage(207, 71, 29, 5), 32);165    }166    167    @Test168    public void shouldReadSpectrum_fromSpecifiedRegion() throws IOException {169        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/test-spectrum-black-white-1.png").getFile());170        Spectrum spectrum = Rainbow4J.readSpectrum(image, new Rectangle(100, 200, 20, 20));171        Assert.assertEquals((int)spectrum.getPercentage(255 ,255, 255, 0), 0);172        Assert.assertEquals((int)spectrum.getPercentage(0, 0, 0, 0), 100);173        Assert.assertEquals((int)spectrum.getPercentage(128,128,128, 0), 0);174    }175    176    @Test177    public void shouldCropImage_andReadSpectrum_2() throws IOException {178        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/color-scheme-image-1.png").getFile());179        Spectrum spectrum = Rainbow4J.readSpectrum(image, new Rectangle(10, 10, 30, 20));180        181        Assert.assertEquals((int)spectrum.getPercentage(255 ,255, 255, 0), 100);182        Assert.assertEquals((int)spectrum.getPercentage(0, 0, 0, 0), 0);183        Assert.assertEquals((int)spectrum.getPercentage(128,128,128, 0), 0);184    }185    @Test186    public void shouldReadSpectrum_fromPNG_3() throws IOException{187        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/color-scheme-image-2.png").getFile());188        Spectrum spectrum = Rainbow4J.readSpectrum(image, new Rectangle(48, 217, 344, 407));189        Assert.assertEquals((int)spectrum.getPercentage(170, 170, 170, 5), 2);190        Assert.assertEquals((int)spectrum.getPercentage(119, 119, 119, 5), 1);191        Assert.assertEquals((int)spectrum.getPercentage(255, 255, 255, 5), 95);192    }193    194    @Test195    public void shouldGive_colorDistribution() throws IOException {196        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/color-scheme-image-1.png").getFile());197        Spectrum spectrum = Rainbow4J.readSpectrum(image);198        199        List<ColorDistribution> colors = spectrum.getColorDistribution(3);200        201        Assert.assertEquals(colors.size(), 4);202        203        Assert.assertEquals(colors.get(0).getColor(), new Color(0, 0, 0));204        Assert.assertEquals((int)colors.get(0).getPercentage(), 14);205        206        Assert.assertEquals(colors.get(1).getColor(), new Color(58, 112, 207));207        Assert.assertEquals((int)colors.get(1).getPercentage(), 8);208        209        Assert.assertEquals(colors.get(2).getColor(), new Color(207, 71, 29));210        Assert.assertEquals((int)colors.get(2).getPercentage(), 32);211        212        Assert.assertEquals(colors.get(3).getColor(), new Color(255, 255, 255));213        Assert.assertEquals((int)colors.get(3).getPercentage(), 44);214    }215    @Test(dataProvider = "imageCompareProvider")216    public void shouldCompare_images(int pixelSmooth, double approxPercentage, long expectedTotalPixels) throws IOException {217        BufferedImage imageA = Rainbow4J.loadImage(getClass().getResource("/comp-image-1.jpg").getFile());218        BufferedImage imageB = Rainbow4J.loadImage(getClass().getResource("/comp-image-2.jpg").getFile());219        ComparisonOptions options = new ComparisonOptions();220        if (pixelSmooth > 0) {221            options.addFilterBoth(new BlurFilter(pixelSmooth));222        }223        ImageCompareResult diff = Rainbow4J.compare(imageA, imageB, options);224        assertThat(diff.getPercentage(), is(greaterThan(approxPercentage - 0.02)));225        assertThat(diff.getPercentage(), is(lessThan(approxPercentage + 0.02)));226        assertThat(diff.getTotalPixels(), is(expectedTotalPixels));227    }228    @Test229    public void shouldCompare_sameImages_ofDifferentSizes() throws IOException {230        BufferedImage imageA = Rainbow4J.loadImage(getClass().getResource("/comp-image-1.jpg").getFile());231        BufferedImage imageB = Rainbow4J.loadImage(getClass().getResource("/comp-image-1-scaled-down.jpg").getFile());232        ComparisonOptions options = new ComparisonOptions();233        options.setStretchToFit(true);234        options.setTolerance(10);235        ImageCompareResult diff = Rainbow4J.compare(imageA, imageB, options);236        assertThat(diff.getTotalPixels(), is(6670L));237        assertThat(diff.getPercentage(), is(lessThan(2.86)));238        assertThat(diff.getPercentage(), is(greaterThan(2.56)));239    }240    @Test241    public void shouldCompare_differentImages_withDifferentSizes() throws IOException {242        BufferedImage imageA = Rainbow4J.loadImage(getClass().getResource("/comp-image-1.jpg").getFile());243        BufferedImage imageB = Rainbow4J.loadImage(getClass().getResource("/comp-image-3-scaled-down.jpg").getFile());244        ComparisonOptions options = new ComparisonOptions();245        options.setStretchToFit(true);246        options.setTolerance(10);247        ImageCompareResult diff = Rainbow4J.compare(imageA, imageB, options);248        assertThat(diff.getTotalPixels(), is(greaterThan(14800L)));249        assertThat(diff.getTotalPixels(), is(lessThan(15500L)));250        assertThat(diff.getPercentage(), is(greaterThan(5.9)));251        assertThat(diff.getPercentage(), is(lessThan(6.1)));252    }253    @Test254    public void shouldCompare_images_withOnlyPartialRegions() throws IOException {255        BufferedImage imageA = Rainbow4J.loadImage(getClass().getResource("/page-screenshot.png").getFile());256        BufferedImage imageB = Rainbow4J.loadImage(getClass().getResource("/page-sample-correct.png").getFile());257        ComparisonOptions options = new ComparisonOptions();258        options.setTolerance(2);259        ImageCompareResult diff = Rainbow4J.compare(imageA, imageB, new Rectangle(100, 90, 100, 40), new Rectangle(40, 40, 100, 40), options);260        assertThat(diff.getTotalPixels(), is(lessThan(2L)));261        assertThat(diff.getPercentage(), is(lessThan(0.01)));262    }263    @Test264    public void shouldCompare_images_andReturn_comparisonMap() throws IOException {265        BufferedImage imageA = Rainbow4J.loadImage(getClass().getResource("/page-screenshot-1.png").getFile());266        BufferedImage imageB = Rainbow4J.loadImage(getClass().getResource("/page-screenshot-1-sample-1.png").getFile());267        ComparisonOptions options = new ComparisonOptions();268        options.addFilterBoth(new BlurFilter(1));269        options.setTolerance(100);270        ImageCompareResult diff = Rainbow4J.compare(imageA, imageB, new Rectangle(0, 70, 100, 64), new Rectangle(0, 0, imageB.getWidth(), imageB.getHeight()), options);271        assertThat(diff.getComparisonMap(), is(notNullValue()));272    }273    @Test274    public void shouldSmoothImage() throws IOException {275        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/lenna.jpg").getFile());276        ImageHandler handler = new ImageHandler(image);277        handler.applyFilter(new BlurFilter(10), new Rectangle(0, 0, image.getWidth(), image.getHeight()));278    }279    @Test280    public void shouldRemoveNoiseImage() throws IOException {281        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/denoise.png").getFile());282        ImageHandler handler = new ImageHandler(image);283        handler.applyFilter(new DenoiseFilter(10), new Rectangle(0, 0, image.getWidth(), image.getHeight()));284    }285    @Test286    public void shouldApplyContrast_toImage() throws IOException {287        BufferedImage image = Rainbow4J.loadImage(getClass().getResourceAsStream("/lenna.jpg"));288        ImageHandler handler = new ImageHandler(image);289        handler.applyFilter(new ContrastFilter(200));290    }291    @Test292    public  void shouldApplySaturation_toImage() throws  IOException {293        BufferedImage image = Rainbow4J.loadImage(getClass().getResourceAsStream("/lenna.jpg"));294        ImageHandler handler = new ImageHandler(image);295        handler.applyFilter(new SaturationFilter(0));296    }297    @Test298    public void shouldApplyQuantinzation_toImage() throws IOException {299        BufferedImage image = Rainbow4J.loadImage(getClass().getResourceAsStream("/lenna.jpg"));300        ImageHandler handler = new ImageHandler(image);301        handler.applyFilter(new QuantinizeFilter(2));302    }303    @Test304    public void shouldUseOffset_forDiffAnalysis() throws IOException {305        BufferedImage image = Rainbow4J.loadImage(getClass().getResourceAsStream("/lenna.png"));306        BufferedImage imageOffset = Rainbow4J.loadImage(getClass().getResourceAsStream("/lenna-offset.png"));307        // First comparing without offset308        {309            ImageCompareResult result = Rainbow4J.compare(image, imageOffset, new ComparisonOptions());310            assertThat(result.getTotalPixels(), is(allOf(greaterThan(64000L), lessThan(66000L))));311            assertThat(result.getOffsetX(), is(0));312            assertThat(result.getOffsetY(), is(0));313        }314        // Comparing without small offset315        {316            ComparisonOptions options2 = new ComparisonOptions();317            options2.setAnalyzeOffset(1);318            ImageCompareResult result2 = Rainbow4J.compare(image, imageOffset, options2);319            assertThat(result2.getTotalPixels(), is(allOf(greaterThan(63000L), lessThan(66000L))));320        }321        // Comparing without bigger offset322        {323            ComparisonOptions options3 = new ComparisonOptions();324            options3.setAnalyzeOffset(4);325            ImageCompareResult result3 = Rainbow4J.compare(image, imageOffset, options3);326            assertThat(result3.getTotalPixels(), is(0L));327            assertThat(result3.getOffsetX(), is(-2));328            assertThat(result3.getOffsetY(), is(-4));329        }330    }331    @Test332    public void shouldApply_maskFilter_andShouldGive_smallDifference() throws IOException {333        BufferedImage imageActual = Rainbow4J.loadImage(getClass().getResourceAsStream("/mask/actual.png"));334        BufferedImage imageExpected = Rainbow4J.loadImage(getClass().getResourceAsStream("/mask/expected-with-rect.png"));335        BufferedImage imageMask = Rainbow4J.loadImage(getClass().getResourceAsStream("/mask/mask.png"));336        ComparisonOptions options = new ComparisonOptions();337        List<ImageFilter> filters = new LinkedList<>();338        filters.add(new MaskFilter(new ImageHandler(imageMask)));339        options.setOriginalFilters(filters);340        ImageCompareResult result = Rainbow4J.compare(imageActual, imageExpected, options);341        assertThat(result.getTotalPixels(), is(57L));342        assertThat(result.getPercentage(), is(lessThan(0.25)));343    }344    @Test345    public void shouldApply_maskFilter_andShouldGive_biggerDifference() throws IOException {346        BufferedImage imageActual = Rainbow4J.loadImage(getClass().getResourceAsStream("/mask/actual.png"));347        BufferedImage imageExpected = Rainbow4J.loadImage(getClass().getResourceAsStream("/mask/expected-with-rect-and-cross.png"));348        BufferedImage imageMask = Rainbow4J.loadImage(getClass().getResourceAsStream("/mask/mask.png"));349        ComparisonOptions options = new ComparisonOptions();350        List<ImageFilter> filters = new LinkedList<>();351        filters.add(new MaskFilter(new ImageHandler(imageMask)));352        options.setOriginalFilters(filters);353        ImageCompareResult result = Rainbow4J.compare(imageActual, imageExpected, options);354        assertThat(result.getTotalPixels(), is(7907L));355        assertThat(result.getPercentage(), is(lessThan(30.0)));356        assertThat(result.getPercentage(), is(greaterThan(28.0)));357    }358    @Test359    public void shouldApply_denoiseFilter_andRemoveAllNoisePixels() throws IOException {360        BufferedImage imageActual = Rainbow4J.loadImage(getClass().getResourceAsStream("/noise/menu-item-1.png"));361        BufferedImage imageExpected = Rainbow4J.loadImage(getClass().getResourceAsStream("/noise/menu-item-1-expected-spots-2.png"));362        // Assert first that there are a lot of mismatching pixels363        {364            ComparisonOptions options = new ComparisonOptions();365            options.setTolerance(25);366            ImageCompareResult result = Rainbow4J.compare(imageActual, imageExpected, options);367            assertThat(result.getTotalPixels(), is(1075L));368        }369        List<Integer> expectedPixels = asList(370                603, 499, 496, 483, 458, 427, 388, 385, 383...

Source:ImageCompareFixture.java

...60     */61    public boolean imageIsEqualTo(String baselineImagePath, String testImagePath) throws IOException {62        boolean result = false;63        ImageCompareResult compareResult = compareImages(baselineImagePath, testImagePath);64        if (compareResult.getPercentage() <= acceptedDifferencePercentage) {65            result = true;66        }67        return result;68    }69    /**70     * Add a region to ignore.71     * A region is formatted as x, y, width, height in pixels. So 0,0,20,100 will ignore a region of 20x100px in the top left corner of the image72     * @param region a comma separated list of integers (x,y,width,height)73     */74    public void addExcludeRegion(String region) {75        String[] regionInfo = region.split(",");76        if(regionInfo.length != 4) {77            throw new SlimFixtureException(false, "A region consists of exactly 4 integers: x, y, width, height");78        }...

getPercentage

Using AI Code Generation

1import com.galenframework.rainbow4j.ImageCompareResult;2import com.galenframework.rainbow4j.ImageComparator;3import java.awt.image.BufferedImage;4import java.io.File;5import java.io.IOException;6import javax.imageio.ImageIO;7public class ImageCompareExample {8    public static void main(String[] args) throws IOException {9        BufferedImage image1 = ImageIO.read(new File("C:\\Users\\vijay\\Desktop\\image1.png"));10        BufferedImage image2 = ImageIO.read(new File("C:\\Users\\vijay\\Desktop\\image2.png"));11        ImageComparator imageComparator = new ImageComparator();12        ImageCompareResult result = imageComparator.compare(

getPercentage

Using AI Code Generation

1package com.galenframework.rainbow4j;2import com.galenframework.rainbow4j.ImageCompareResult;3import com.galenframework.rainbow4j.ImageCompareResult;4import com.galenframework.rainbow4j.ImageCompareResult;5import com.galenframework.rainbow4j.Rainbow4J;6import java.io.IOException;7public class getPercentage {8    public static void main(String[] args) throws IOException {9        Rainbow4J rainbow4J = new Rainbow4J();10        ImageCompareResult imageCompareResult = rainbow4J.compare("C:\\Users\\user\\Desktop\\rainbow4j\\images\\1.png", "C:\\Users\\user\\Desktop\\rainbow4j\\images\\2.png");11        System.out.println(imageCompareResult.getPercentage());12    }13}14package com.galenframework.rainbow4j;15import com.galenframework.rainbow4j.ImageCompareResult;16import com.galenframework.rainbow4j.ImageCompareResult;17import com.galenframework.rainbow4j.ImageCompareResult;18import com.galenframework.rainbow4j.Rainbow4J;19import java.io.IOException;20public class getPercentage {21    public static void main(String[] args) throws IOException {22        Rainbow4J rainbow4J = new Rainbow4J();23        ImageCompareResult imageCompareResult = rainbow4J.compare("C:\\Users\\user\\Desktop\\rainbow4j\\images\\1.png", "C:\\Users\\user\\Desktop\\rainbow4j\\images\\2.png", 0.01);24        System.out.println(imageCompareResult.getPercentage());25    }26}27package com.galenframework.rainbow4j;28import com.galenframework.rainbow4j.ImageCompareResult;29import com.galenframework.rainbow4j.ImageCompareResult;30import com.galenframework.rainbow4j.ImageCompareResult;31import com.galenframework.rainbow4j.Rainbow4J;32import java.io.IOException;33public class getPercentage {34    public static void main(String[] args) throws IOException {

getPercentage

Using AI Code Generation

1package com.galenframework.rainbow4j;2import java.awt.image.BufferedImage;3import java.io.File;4import javax.imageio.ImageIO;5import com.galenframework.rainbow4j.ImageCompareResult;6import com.galenframework.rainbow4j.ImageComparator;7public class ImageCompare {8public static void main(String[] args) {9try {10File file1 = new File("C:\\Users\\Desktop\\1.png");11File file2 = new File("C:\\Users\\Desktop\\2.png");12BufferedImage image1 = ImageIO.read(file1);13BufferedImage image2 = ImageIO.read(file2);14ImageCompareResult result = ImageComparator.compareImages(image1, image2);15System.out.println("Percentage difference is: " + result.getPercentage());16} catch (Exception e) {17System.out.println("Error: " + e);18}19}20}

getPercentage

Using AI Code Generation

1package com.galenframework.rainbow4j;2import java.awt.image.BufferedImage;3import java.io.File;4import java.io.IOException;5import javax.imageio.ImageIO;6public class ImageCompareResult {7    private BufferedImage image1;8    private BufferedImage image2;9    private int percentage;10    public ImageCompareResult(BufferedImage image1, BufferedImage image2, int percentage) {11        this.image1 = image1;12        this.image2 = image2;13        this.percentage = percentage;14    }15    public BufferedImage getImage1() {16        return image1;17    }18    public BufferedImage getImage2() {19        return image2;20    }21    public int getPercentage() {22        return percentage;23    }24}25package com.galenframework.rainbow4j;26import java.awt.image.BufferedImage;27import java.io.File;28import java.io.IOException;29import javax.imageio.ImageIO;30public class ImageCompareResult {31    private BufferedImage image1;32    private BufferedImage image2;33    private int percentage;34    public ImageCompareResult(BufferedImage image1, BufferedImage image2, int percentage) {35        this.image1 = image1;36        this.image2 = image2;37        this.percentage = percentage;38    }39    public BufferedImage getImage1() {40        return image1;41    }42    public BufferedImage getImage2() {43        return image2;44    }45    public int getPercentage() {46        return percentage;47    }48}49package com.galenframework.rainbow4j;50import java.awt.image.BufferedImage;51import java.io.File;52import java.io.IOException;53import javax.imageio.ImageIO;54public class ImageCompareResult {55    private BufferedImage image1;56    private BufferedImage image2;57    private int percentage;58    public ImageCompareResult(BufferedImage image1, BufferedImage image2, int percentage) {59        this.image1 = image1;60        this.image2 = image2;61        this.percentage = percentage;62    }63    public BufferedImage getImage1() {64        return image1;65    }66    public BufferedImage getImage2() {67        return image2;68    }69    public int getPercentage() {70        return percentage;71    }72}

getPercentage

Using AI Code Generation

1package com.galenframework.rainbow4j;2import com.galenframework.rainbow4j.ImageCompareResult;3import com.galenframework.rainbow4j.ImageCompareResult;4import java.awt.image.BufferedImage;5import java.io.File;6import javax.imageio.ImageIO;7public class ImageCompareResult {8    public static void main(String[] args) {9        try {10            BufferedImage image1 = ImageIO.read(new File("C:\\Users\\Admin\\Desktop\\image1.png"));11            BufferedImage image2 = ImageIO.read(new File("C:\\Users\\Admin\\Desktop\\image2.png"));12            ImageCompareResult result = new ImageCompareResult(image1, image2);13            System.out.println("Percentage difference between the two images is: " + result.getPercentage());14        } catch (Exception e) {15            System.out.println(e.getMessage());16        }17    }18}

getPercentage

Using AI Code Generation

1package com.galenframework.rainbow4j;2import java.io.File;3import java.net.MalformedURLException;4import java.net.URL;5{6    public static void main(String[] args) throws MalformedURLException7    {8        ImageCompareResult result = ImageCompare.compare(new File("C:\\Users\\Lenovo\\Desktop\\1.png"),9                new File("C:\\Users\\Lenovo\\Desktop\\2.png"));10        System.out.println(result.getPercentage());11    }12}13package com.galenframework.rainbow4j;14import java.io.File;15import java.net.MalformedURLException;16import java.net.URL;17{18    public static void main(String[] args) throws MalformedURLException19    {20        ImageCompareResult result = ImageCompare.compare(new File("C:\\Users\\Lenovo\\Desktop\\1.png"),21                new File("C:\\Users\\Lenovo\\Desktop\\2.png"));22        System.out.println(result.getPercentage());23    }24}25package com.galenframework.rainbow4j;26import java.io.File;27import java.net.MalformedURLException;28import java.net.URL;29{30    public static void main(String[] args) throws MalformedURLException31    {32        ImageCompareResult result = ImageCompare.compare(new File("C:\\Users\\Lenovo\\Desktop\\1.png"),33                new File("C:\\Users\\Lenovo\\Desktop\\2.png"));34        System.out.println(result.getPercentage());35    }36}37package com.galenframework.rainbow4j;38import java.io.File;39import java.net.MalformedURLException;40import java.net.URL;41{42    public static void main(String[] args) throws MalformedURLException43    {44        ImageCompareResult result = ImageCompare.compare(new File("C:\\Users\\Lenovo\\Desktop\\1.png"),45                new File("C:\\Users\\Lenovo\\Desktop\\2.png"));46        System.out.println(result.getPercentage());47    }48}

getPercentage

Using AI Code Generation

1import com.galenframework.rainbow4j.ImageCompareResult;2import com.galenframework.rainbow4j.ImageComparator;3import com.galenframework.rainbow4j.ImageComparatorFactory;4import com.galenframework.rainbow4j.ImageComparatorType;5import java.io.File;6import java.io.IOException;7import java.util.HashMap;8import java.util.Map;9import java.util.logging.Level;10import java.util.logging.Logger;11public class ImageCompare {12    public static void main(String[] args) {13        try {14            File file1 = new File("C:\\Users\\hp\\Desktop\\image1.png");15            File file2 = new File("C:\\Users\\hp\\Desktop\\image2.png");16            Map<String, Object> params = new HashMap<>();17            params.put("tolerance", 0.1);18            ImageComparator imageComparator = ImageComparatorFactory.getComparator(ImageComparatorType.PIXEL_BY_PIXEL, params);19            ImageCompareResult imageCompareResult = imageComparator.compare(file1, file2);20            System.out.println("Percentage of Similarity is: " + imageCompareResult.getPercentage());21        } catch (IOException ex) {22            Logger.getLogger(ImageCompare.class.getName()).log(Level.SEVERE, null, ex);23        }24    }25}

getPercentage

Using AI Code Generation

1ImageCompareResult result = ImageCompare.compare(image1, image2);2System.out.println("Percentage difference between images is: " + result.getPercentage());3ImageCompareResult result = ImageCompare.compare(image1, image2);4System.out.println("Percentage difference between images is: " + result.getPercentage());5ImageCompareResult result = ImageCompare.compare(image1, image2);6System.out.println("Percentage difference between images is: " + result.getPercentage());7ImageCompareResult result = ImageCompare.compare(image1, image2);8System.out.println("Percentage difference between images is: " + result.getPercentage());9ImageCompareResult result = ImageCompare.compare(image1, image2);10System.out.println("Percentage difference between images is: " + result.getPercentage());11ImageCompareResult result = ImageCompare.compare(image1, image2);12System.out.println("Percentage difference between images is: " + result.getPercentage());13ImageCompareResult result = ImageCompare.compare(image1, image2);14System.out.println("Percentage difference between images is: " + result.getPercentage());15ImageCompareResult result = ImageCompare.compare(image1, image2);16System.out.println("Percentage difference between images is: " + result.getPercentage());17ImageCompareResult result = ImageCompare.compare(image1, image2);18System.out.println("Percentage difference between images is: " + result.getPercentage());19ImageCompareResult result = ImageCompare.compare(image1, image2);20System.out.println("Percentage difference between images is: " + result.getPercentage());

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