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());

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.