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How to use ImageCompareResult class of com.galenframework.rainbow4j package

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

Source:Rainbow4JTest.java

...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, 383371        );372        for (int size = 1; size < 10; size++) {373            ComparisonOptions options = new ComparisonOptions();374            options.setTolerance(25);375            options.setMapFilters(asList((ImageFilter)new DenoiseFilter(size)));376            ImageCompareResult result = Rainbow4J.compare(imageActual, imageExpected, options);377            assertThat("map-denoise " + size + " should result in mismatching pixels",378                    result.getTotalPixels(),379                    is(expectedPixels.get(size - 1).longValue()));380        }381    }382    @Test383    public void shouldApply_blurFilter_andImproveNoisyDiff() throws IOException {384        BufferedImage imageActual = Rainbow4J.loadImage(getClass().getResourceAsStream("/noise/menu-item-1.png"));385        BufferedImage imageExpected = Rainbow4J.loadImage(getClass().getResourceAsStream("/noise/menu-item-1-expected-spots-2.png"));386        List<Integer> expectedPixels = asList(387            653, 765, 860, 982, 1068, 1168, 1263, 1334, 1415388        );389        // Assert first that there are a lot of mismatching pixels390        {391            ComparisonOptions options = new ComparisonOptions();392            options.setTolerance(25);393            ImageCompareResult result = Rainbow4J.compare(imageActual, imageExpected, options);394            assertThat(result.getTotalPixels(), is(1075L));395        }396        for (int size = 1; size < 10; size++) {397            ComparisonOptions options = new ComparisonOptions();398            options.setTolerance(25);399            List<ImageFilter> filters = new LinkedList<>();400            filters.add(new BlurFilter(size));401            options.setOriginalFilters(filters);402            options.setSampleFilters(filters);403            ImageCompareResult result = Rainbow4J.compare(imageActual, imageExpected, options);404            assertThat("blur filter with size " + size + " should result in mismatching pixels",405                    result.getTotalPixels(),406                    is(expectedPixels.get(size - 1).longValue()));407        }408    }409    @Test410    public void shouldApply_replaceColorsFilter_andCompareImages() throws IOException {411        BufferedImage imageActual = Rainbow4J.loadImage(getClass().getResourceAsStream("/replace-colors-actual.png"));412        BufferedImage imageExpected = Rainbow4J.loadImage(getClass().getResourceAsStream("/replace-colors-expected.png"));413        ComparisonOptions options = new ComparisonOptions();414        ReplaceColorsDefinition colorDefinition = new ReplaceColorsDefinition(new Color(255, 255, 255), asList(415            new GradientColorClassifier("green-blue", asList(new Color(5, 153, 0), new Color(9, 24, 184))),416            new SimpleColorClassifier("grey", new Color(153, 153, 153))417        ));418        colorDefinition.setRadius(0);419        options.setOriginalFilters(asList(new ReplaceColorsFilter(asList(colorDefinition))));420        ImageCompareResult result = Rainbow4J.compare(imageActual, imageExpected, options);421        assertThat(result.getTotalPixels(), is(0L));422    }423    @Test424    public void shouldExclude_definedRegions_whenComparingImages() throws IOException {425        BufferedImage imageActual = Rainbow4J.loadImage(getClass().getResourceAsStream("/ignore-regions/ignore-regions-actual.png"));426        BufferedImage imageExpected = Rainbow4J.loadImage(getClass().getResourceAsStream("/ignore-regions/ignore-regions-expected.png"));427        ComparisonOptions options = new ComparisonOptions();428        options.setIgnoreRegions(asList(new Rectangle(0, 70, 243, 64), new Rectangle(243, 134, 243, 64)));429        ImageCompareResult result = Rainbow4J.compare(imageActual, imageExpected, options);430        assertThat(result.getTotalPixels(), is(greaterThan(1600L)));431        assertThat(result.getTotalPixels(), is(lessThan(1700L)));432        ImageCompareResult mapResult = Rainbow4J.compare(result.getComparisonMap(),433            Rainbow4J.loadImage(getClass().getResourceAsStream("/ignore-regions/ignore-regions-map.png")),434            new ComparisonOptions()435        );436        assertThat(mapResult.getTotalPixels(), is(0L));437    }438    @DataProvider439    public Object[][] imageCompareProvider() {440        return new Object[][] {441                //pixelsmooth,  approx percentage, total pixels442                {0, 0.72, 1797},443                {1, 0.85, 2138},444                {2, 0.87, 2176},445                {3, 0.92, 2305}446        };...

Source:ImageCompareFixture.java

1package nl.praegus.fitnesse.slim.fixtures;2import com.galenframework.rainbow4j.ComparisonOptions;3import com.galenframework.rainbow4j.ImageCompareResult;4import com.galenframework.rainbow4j.Rainbow4J;5import javax.imageio.ImageIO;6import java.awt.Rectangle;7import java.awt.image.BufferedImage;8import java.io.File;9import java.io.IOException;10import java.text.SimpleDateFormat;11import java.util.ArrayList;12import java.util.List;13import nl.hsac.fitnesse.fixture.slim.SlimFixture;14import nl.hsac.fitnesse.fixture.slim.SlimFixtureException;15/**16 * Fixture to compare two images. Accepted file types: PNG, BMP, JPEG, GIF. Extends Slim fixture from17 * nl.hsac.fitnesse.fixture.slim package. Uses the rainbow4j library from the Galen project to perform image compare.18 */19public class ImageCompareFixture extends SlimFixture {20    private final ComparisonOptions comparisonOptions = new ComparisonOptions();21    private double acceptedDifferencePercentage = 0.0;22    private String comparisonMapFileFormat = "png";23    private List<Rectangle> ignoreRegions = new ArrayList<>();24    public void setAcceptedDifferencePercentage(double acceptedDifferencePercentage) {25        this.acceptedDifferencePercentage = acceptedDifferencePercentage;26    }27    public void setTolerance(int tolerance) {28        comparisonOptions.setTolerance(tolerance);29    }30    public void setComparisonMapFileFormat(String comparisonMapFileFormat) {31        this.comparisonMapFileFormat = comparisonMapFileFormat;32    }33    /**34     * Returns an image showing a heatmap of differences between two given images. Images given can be of PNG, BMP, JPEG35     * or GIF file format. The file format of the compared images might differ.36     *37     * @param baselineImagePath path of the image to be used as baseline to test an image against. Format is38     *                          url: http://files/example.png or39     *                          relative path: files/example.png or40     *                          absolute path : C:\Projects\someProject\wiki\FitNesseRoot\files\example.png41     * @param testImagePath     the image to test against the given baseline42     * @return HTML link to the generate heatmap43     * @throws IOException when image can not be saved44     */45    public String differencesBetweenAnd(String baselineImagePath, String testImagePath) throws IOException {46        ImageCompareResult compareResult = compareImages(baselineImagePath, testImagePath);47        return getImageLink(saveComparisonMap(compareResult));48    }49    /**50     * Boolean indicating if two given images are visually equal (depending on set tolerance and accepted51     * difference percentage)52     *53     * @param baselineImagePath path of the image to be used as baseline to test an image against. Format is54     *                          url: http://files/example.png or55     *                          relative path: files/example.png or56     *                          absolute path : C:\Projects\someProject\wiki\FitNesseRoot\files\example.png57     * @param testImagePath     the image to test against the given baseline58     * @return true when the two given images are visually equal59     * @throws IOException60     */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        }79        try {80            Rectangle newRegion = new Rectangle(Integer.parseInt(regionInfo[0].trim()),81                    Integer.parseInt(regionInfo[1].trim()),82                    Integer.parseInt(regionInfo[2].trim()),83                    Integer.parseInt(regionInfo[3].trim()));84            ignoreRegions.add(newRegion);85            comparisonOptions.setIgnoreRegions(ignoreRegions);86        } catch (NumberFormatException e) {87            throw new SlimFixtureException(false, "A region consists of exactly 4 integers: x, y, width, height", e);88        }89    }90    /**91     * Compares two given images.92     *93     * @param baselineImagePath image to use as baseline for comparison94     * @param testImagePath     image to test against baseline95     * @return comparison result object96     * @throws IOException if images can not be read97     */98    private ImageCompareResult compareImages(String baselineImagePath, String testImagePath) throws IOException {99        return Rainbow4J.compare(loadImageFromPath(baselineImagePath), loadImageFromPath(testImagePath), comparisonOptions);100    }101    /**102     * Creates BufferedImage from given path103     *104     * @param imagePath the path to the image to load105     * @return BufferedImage from image found on path106     * @throws IOException if image can not be read107     */108    private BufferedImage loadImageFromPath(String imagePath) throws IOException {109        String baselineImagePath = getFilePathFromWikiUrl(imagePath);110        BufferedImage image = Rainbow4J.loadImage(baselineImagePath);111        return image;112    }113    /**114     * Saves comparison map of a given image compare result to disk115     *116     * @param compareResult image compare result object117     * @return path of the saved comparison map118     * @throws IOException when saving fails119     */120    private String saveComparisonMap(ImageCompareResult compareResult) throws IOException {121        BufferedImage diffMap = compareResult.getComparisonMap();122        String imageName = getComparisonMapName();123        ImageIO.write(diffMap, "png", new File(imageName));124        return imageName;125    }126    /**127     * Returns unique name for generated comparison map based on current time.128     *129     * @return name for comparison map130     */131    private String getComparisonMapName() {132        String imageCreationTimestamp = new SimpleDateFormat("ddHHmmSSS").format(new java.util.Date());133        return String.format("%s%scomparison-map-%s.%s", filesDir, File.separator, imageCreationTimestamp, comparisonMapFileFormat);134    }...

ImageCompareResult

Using AI Code Generation

1import com.galenframework.rainbow4j.ImageCompareResult;2import com.galenframework.rainbow4j.ImageComparison;3import com.galenframework.rainbow4j.ImageComparisonException;4import com.galenframework.rainbow4j.ImageComparisonResult;5import com.galenframework.rainbow4j.ImageComparisonSettings;6import com.galenframework.rainbow4j.ImageComparisonSettingsBuilder;7import com.galenframework.rainbow4j.ImageComparisonType;8import com.galenframework.rainbow4j.ImageComparisonTypeBuilder;9import com.galenframework.rainbow4j.ImageComparisonTypeBuilder.ImageComparisonTypeBuilderException;10import com.galenframework.rainbow4j.ImageComparisonTypeBuilder.ImageComparisonTypeBuilderStep;11import com.galenframework.rainbow4j.ImageComparisonTypeBuilder.ImageComparisonTypeBuilderStep.ImageComparisonTypeBuilderStepException;12import com.galenframework.rainbow4j.ImageComparisonTypeBuilder.ImageComparisonTypeBuilderStep.ImageComparisonTypeBuilderStepException.ImageComparisonTypeBuilderStepExceptionType;13import com.galenframework.rainbow4j.ImageComparisonTypeBuilder.ImageComparisonTypeBuilderStep.ImageComparisonTypeBuilderStepException.ImageComparisonTypeBuilderStepExceptionType.ImageComparisonTypeBuilderStepExceptionTypeException;14import com.galenframework.rainbow4j.ImageComparisonTypeBuilder.ImageComparisonTypeBuilderStep.ImageComparisonTypeBuilderStepException.ImageComparisonTypeBuilderStepExceptionType.ImageComparisonTypeBuilderStepExceptionTypeException.ImageComparisonTypeBuilderStepExceptionTypeExceptionType;15import com.galenframework.rainbow4j.ImageComparisonTypeBuilder.ImageComparisonTypeBuilderStep.ImageComparisonTypeBuilderStepException.ImageComparisonTypeBuilderStepExceptionType.ImageComparisonTypeBuilderStepExceptionTypeException.ImageComparisonTypeBuilderStepExceptionTypeExceptionType.ImageComparisonTypeBuilderStepExceptionTypeExceptionTypeException;16import com.galenframework.rainbow4j.ImageComparisonTypeBuilder.ImageComparisonTypeBuilderStep.ImageComparisonTypeBuilderStepException.ImageComparisonTypeBuilderStepExceptionType.ImageComparisonTypeBuilderStepExceptionTypeException.ImageComparisonTypeBuilderStepExceptionTypeExceptionType.ImageComparisonTypeBuilderStepExceptionTypeExceptionTypeException.ImageComparisonTypeBuilderStepExceptionTypeExceptionTypeExceptionTypeException;17import com.galenframework.rainbow4j.ImageComparisonTypeBuilder.ImageComparisonTypeBuilderStep.ImageComparisonTypeBuilderStepException.ImageComparisonTypeBuilderStepExceptionType.ImageComparisonTypeBuilderStepExceptionTypeException.ImageComparisonTypeBuilderStepExceptionTypeExceptionType.ImageComparisonTypeBuilderStepExceptionTypeExceptionTypeException.ImageComparisonTypeBuilder

ImageCompareResult

Using AI Code Generation

1import com.galenframework.rainbow4j.ImageCompareResult;2import com.galenframework.rainbow4j.ImageComparator;3import com.galenframework.rainbow4j.ImageComparatorFactory;4import java.io.File;5import java.io.IOException;6import javax.imageio.ImageIO;7public class ImageCompare {8    public static void main(String[] args) throws IOException {9        ImageComparator imageComparator = ImageComparatorFactory.createDefaultImageComparator();10        ImageCompareResult imageCompareResult = imageComparator.compare(ImageIO.read(new File("D:\\Screenshots\\Login\\Login_1.png")), ImageIO.read(new File("D:\\Screenshots\\Login\\Login_2.png")));11        System.out.println(imageCompareResult.isSame());12    }13}14ImageCompareResult imageCompareResult = imageComparator.compare(ImageIO.read(new File("D:\\Screenshots\\Login\\Login_1.png")), ImageIO.read(new File("D:\\Screenshots\\Login\\Login_2.png")), ImageIO.read(new File("D:\\Screenshots\\Login\\Login_3.png")));15import com.galenframework.rainbow4j.ImageCompareResult;16import com.galenframework.rainbow4j.ImageComparator;17import com.galenframework.rainbow4j.ImageComparatorFactory;18import java.awt.image.BufferedImage;19import java.io.File;20import java.io.IOException;21import javax.imageio.ImageIO;

ImageCompareResult

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;6public class ImageCompare {7public static void main(String[] args) {8ImageComparatorFactory imageComparatorFactory = new ImageComparatorFactory();9ImageComparator imageComparator = imageComparatorFactory.getImageComparator(ImageComparatorType.TWO_PASS);10File image1 = new File("C:\\Users\\Sandeep\\Desktop\\1.png");11File image2 = new File("C:\\Users\\Sandeep\\Desktop\\2.png");12ImageCompareResult imageCompareResult = imageComparator.compare(image1, image2);13int totalPixels = imageCompareResult.getTotalPixels();14int differentPixels = imageCompareResult.getDifferentPixels();15double differentPixelsPercentage = imageCompareResult.getDifferentPixelsPercentage();16int missingPixels = imageCompareResult.getMissingPixels();17double missingPixelsPercentage = imageCompareResult.getMissingPixelsPercentage();18int extraPixels = imageCompareResult.getExtraPixels();19double extraPixelsPercentage = imageCompareResult.getExtraPixelsPercentage();20System.out.println("Total number of pixels: " + totalPixels);21System.out.println("Number of different pixels: " + differentPixels);22System.out.println("Percentage of different pixels: " + differentPixelsPercentage);23System.out.println("Number of missing pixels: " + missingPixels);24System.out.println("Percentage of missing pixels: " + missingPixelsPercentage);25System.out.println("Number of extra pixels: " + extraPixels);26System.out.println("Percentage of extra pixels: " + extraPixelsPercentage);27}28}

ImageCompareResult

Using AI Code Generation

1import com.galenframework.rainbow4j.*;2import com.galenframework.rainbow4j.ImageCompareResult;3import com.galenframework.rainbow4j.ImageCompareResult.Status;4public class 1 {5    public static void main(String[] args) {6        ImageCompareResult result = ImageCompare.compareImages("/Users/Downloads/1.png", "/Users/Downloads/2.png");7        System.out.println(result.getStatus());8        System.out.println(result.getDifferencePercent());9        System.out.println(result.getDifferenceAreaPercent());10        System.out.println(result.getDifferenceArea());11        System.out.println(result.getDifferenceImage());12    }13}14import com.galenframework.rainbow4j.*;15import com.galenframework.rainbow4j.ImageCompareResult;16import com.galenframework.rainbow4j.ImageCompareResult.Status;17public class 2 {18    public static void main(String[] args) {19        ImageCompareResult result = ImageCompare.compareImages("/Users/Downloads/1.png", "/Users/Downloads/2.png");20        System.out.println(result.getStatus());21        System.out.println(result.getDifferencePercent());22        System.out.println(result.getDifferenceAreaPercent());23        System.out.println(result.getDifferenceArea());24        System.out.println(result.getDifferenceImage());25    }26}27import com.galenframework.rainbow4j.*;28import com.galenframework.rainbow4j.ImageCompareResult;29import com.galenframework.rainbow4j.ImageCompareResult.Status;30public class 3 {31    public static void main(String[] args) {32        ImageCompareResult result = ImageCompare.compareImages("/Users/Downloads/1.png", "/Users/Downloads/2.png");33        System.out.println(result.getStatus());34        System.out.println(result.getDifferencePercent());35        System.out.println(result.getDifferenceAreaPercent());36        System.out.println(result.getDifferenceArea());37        System.out.println(result.getDifferenceImage());38    }39}40import com.galenframework.rainbow4j.*;41import com.galenframework.rainbow4j.ImageCompareResult;42import com.galenframework.rainbow

ImageCompareResult

Using AI Code Generation

1import com.galenframework.rainbow4j.ImageCompareResult;2import com.galenframework.rainbow4j.ImageComparator;3import com.galenframework.rainbow4j.ImageComparatorFactory;4import com.galenframework.rainbow4j.ImageInfo;5import com.galenframework.rainbow4j.Rectangle;6import com.galenframework.rainbow4j.RectangleArea;7import com.galenframework.rainbow4j.RectangleAreaComparator;8import com.galenframework.rainbow4j.RectangleAreaComparatorFactory;9import com.galenframework.rainbow4

ImageCompareResult

Using AI Code Generation

1import com.galenframework.rainbow4j.ImageCompareResult;2import com.galenframework.rainbow4j.Rainbow4J;3import java.io.File;4public class ImageCompare {5    public static void main(String[] args) throws Exception {6        Rainbow4J rainbow4J = new Rainbow4J();7        ImageCompareResult result = rainbow4J.compareImages(new File("C:\\Users\\user\\Desktop\\ImageCompare\\Image1.png"), new File("C:\\Users\\user\\Desktop\\ImageCompare\\Image2.png"));8        System.out.println("Difference percentage: " + result.getDifferencePercentage());9    }10}11ImageCompareResult result = rainbow4J.compareImageWithColor(new File("C:\\Users\\user\\Desktop\\ImageCompare\\Image1.png"), new Color(255, 0, 0));12System.out.println("Difference percentage: " + result.getDifferencePercentage());13ImageCompareResult result = rainbow4J.compareImageWithColor(new File("C:\\Users\\user\\Desktop\\ImageCompare\\Image1.png"), new Color(255, 0, 0));14System.out.println("Difference percentage: " + result.getDifferencePercentage());15ImageCompareResult result = rainbow4J.compareImageWithColor(new File("C:\\Users\\user\\Desktop\\ImageCompare\\Image1.png"), new Color(255, 0, 0));16System.out.println("Difference percentage: " + result.getDifferencePercentage());17ImageCompareResult result = rainbow4J.compareImageWithColor(new File("C:\\Users\\user\\Desktop\\ImageCompare\\Image1.png

ImageCompareResult

Using AI Code Generation

1import com.galenframework.rainbow4j.ImageCompareResult;2import com.galenframework.rainbow4j.ImageCompareResult;3import com.galenframework.rainbow4j.Rainbow4J;4public class ImageCompare {5    public static void main(String[] args) throws Exception {6        Rainbow4J rainbow4J = new Rainbow4J();7        ImageCompareResult result = rainbow4J.compareImages("C:\\Users\\user\\Desktop\\image\\actual.png", "C:\\Users\\user\\Desktop\\image\\expected.png", 1, 1);8        System.out.println(result.getDiffPercentage());9    }10}

ImageCompareResult

Using AI Code Generation

1package com.galenframework.rainbow4j;2import com.galenframework.rainbow4j.*;3import java.io.IOException;4import java.net.URL;5import javax.imageio.ImageIO;6import java.awt.image.BufferedImage;7public class ImageCompareResult {8    private double matchPercentage;9    private double mismatchPercentage;10    private int totalPixels;11    private int mismatchedPixels;12    private int matchedPixels;13    private BufferedImage actualImage;14    private BufferedImage expectedImage;15    private BufferedImage diffImage;16    public ImageCompareResult(double matchPercentage, double mismatchPercentage, int totalPixels, int mismatchedPixels, int matchedPixels, BufferedImage actualImage, BufferedImage expectedImage, BufferedImage diffImage) {17        this.matchPercentage = matchPercentage;18        this.mismatchPercentage = mismatchPercentage;19        this.totalPixels = totalPixels;20        this.mismatchedPixels = mismatchedPixels;21        this.matchedPixels = matchedPixels;22        this.actualImage = actualImage;23        this.expectedImage = expectedImage;24        this.diffImage = diffImage;25    }26    public double getMatchPercentage() {27        return matchPercentage;28    }29    public double getMismatchPercentage() {30        return mismatchPercentage;31    }32    public int getTotalPixels() {33        return totalPixels;34    }35    public int getMismatchedPixels() {36        return mismatchedPixels;37    }38    public int getMatchedPixels() {39        return matchedPixels;40    }41    public BufferedImage getActualImage() {42        return actualImage;43    }44    public BufferedImage getExpectedImage() {45        return expectedImage;46    }47    public BufferedImage getDiffImage() {48        return diffImage;49    }50    public static ImageCompareResult compare(URL actualImage, URL expectedImage) throws IOException {51        BufferedImage actualImageBuffer = ImageIO.read(actualImage);52        BufferedImage expectedImageBuffer = ImageIO.read(expectedImage);53        return compare(actualImageBuffer, expectedImageBuffer);54    }55    public static ImageCompareResult compare(BufferedImage actualImage, BufferedImage expectedImage) {56        int width = actualImage.getWidth();57        int height = actualImage.getHeight();58        int totalPixels = width * height;59        int mismatchedPixels = 0;60        int matchedPixels = 0;61        BufferedImage diffImage = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB);62        for (int i = 0; i < width; i++) {63            for (int j = 0; j <

ImageCompareResult

Using AI Code Generation

1ImageCompareResult result = new ImageCompareResult();2ImageComparator imageComparator = new ImageComparator();3imageComparator.compareImages("C:\\Users\\vishal\\Desktop\\1.png", "C:\\Users\\vishal\\Desktop\\2.png", result);4System.out.println(result.getDiffPercent());5ImageCompareResult result = new ImageCompareResult();6ImageComparator imageComparator = new ImageComparator();7imageComparator.compareImages("C:\\Users\\vishal\\Desktop\\1.png", "C:\\Users\\vishal\\Desktop\\2.png", result);8System.out.println(result.getDiffPercent());9ImageCompareResult result = new ImageCompareResult();10ImageComparator imageComparator = new ImageComparator();11imageComparator.compareImages("C:\\Users\\vishal\\Desktop\\1.png", "C:\\Users\\vishal\\Desktop\\2.png", result);12System.out.println(result.getDiffPercent());13ImageCompareResult result = new ImageCompareResult();14ImageComparator imageComparator = new ImageComparator();15imageComparator.compareImages("C:\\Users\\vishal\\Desktop\\1.png", "C:\\Users\\vishal\\Desktop\\2.png", result);16System.out.println(result.getDiffPercent());17ImageCompareResult result = new ImageCompareResult();18ImageComparator imageComparator = new ImageComparator();19imageComparator.compareImages("C:\\Users\\vishal\\Desktop\\1.png", "C:\\Users\\vishal\\Desktop\\2.png", result);20System.out.println(result.getDiffPercent());21ImageCompareResult result = new ImageCompareResult();22ImageComparator imageComparator = new ImageComparator();23imageComparator.compareImages("C:\\Users\\vishal\\Desktop\\1.png", "C:\\Users\\vishal\\Desktop\\2.png", result);24System.out.println(result.getDiffPercent());25ImageCompareResult result = new ImageCompareResult();

ImageCompareResult

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 com.galenframework.rainbow4j.ImageType;6import com.galenframework.rainbow4j.exceptions.ImageCompareException;7import com.galenframework.rainbow4j.exceptions.ImageReadException;8import com.galenframework.rainbow4j.exceptions.ImageWriteException;9import com.galenframework.rainbow4j.exceptions.Rainbow4JException;10import com.galenframework.rainbow4j.filters.ImageFilter;11import com.galenframework.rainbow4j.filters.ImageFilterFactory;12import com.galenframework.rainbow4j.filters.ImageFilterType;13import com.galenframework.rainbow4j.filters.ImageFilters;14import com.galenframework.rainbow4j.filters.ImageFiltersFactory;15import com.galenframework.rainbow4j.filters.ImageFiltersType;16import com.galenframework.rainbow4j.filters.ImageFiltersUtils;17import com.galenframework.rainbow4j.filters.ImageFiltersUtilsFactory;18import com.galenframework.rainbow4j.filters.ImageFiltersUtilsType;19import java.io.File;20import java.io.IOException;21import java.util.ArrayList;22import java.util.List;23import java.util.Map;24import javax.imageio.ImageIO;25import org.slf4j.Logger;26import org.slf4j.LoggerFactory;27public class ImageCompare {28    private static final Logger LOG = LoggerFactory.getLogger(ImageCompare.class);29    public static void main(String[] args) throws IOException, Rainbow4JException {30        String actualImagePath = "C:\\Users\\Rajesh\\Desktop\\actual.png";31        String expectedImagePath = "C:\\Users\\Rajesh\\Desktop\\expected.png";32        String resultImagePath = "C:\\Users\\Rajesh\\Desktop\\result.png";33        ImageComparator imageComparator = ImageComparatorFactory.getImageComparator(ImageComparatorType.HAMMING_DISTANCE);34        ImageCompareResult imageCompareResult = imageComparator.compare(actualImagePath, expectedImagePath);35        System.out.println("The result of image comparison is : " + imageCompareResult.isImagesAreSame());

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