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

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

Source:Rainbow4JTest.java

...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, 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        };447    }448}...

getTotalPixels

Using AI Code Generation

1ImageCompareResult imageCompareResult = new ImageCompareResult();2imageCompareResult.getTotalPixels();3ImageCompareResult imageCompareResult = new ImageCompareResult();4imageCompareResult.getDifferentPixels();5ImageCompareResult imageCompareResult = new ImageCompareResult();6imageCompareResult.getPercentage();7ImageCompareResult imageCompareResult = new ImageCompareResult();8imageCompareResult.getDiffImage();9ImageCompareResult imageCompareResult = new ImageCompareResult();10imageCompareResult.getDiffImage();11ImageCompareResult imageCompareResult = new ImageCompareResult();12imageCompareResult.getDiffImage();13ImageCompareResult imageCompareResult = new ImageCompareResult();14imageCompareResult.getDiffImage();15ImageCompareResult imageCompareResult = new ImageCompareResult();16imageCompareResult.getDiffImage();17ImageCompareResult imageCompareResult = new ImageCompareResult();18imageCompareResult.getDiffImage();19ImageCompareResult imageCompareResult = new ImageCompareResult();20imageCompareResult.getDiffImage();21ImageCompareResult imageCompareResult = new ImageCompareResult();22imageCompareResult.getDiffImage();23ImageCompareResult imageCompareResult = new ImageCompareResult();24imageCompareResult.getDiffImage();

getTotalPixels

Using AI Code Generation

1import com.galenframework.rainbow4j.ImageCompareResult;2ImageCompareResult imageCompareResult = new ImageCompareResult();3imageCompareResult.getTotalPixels();4import com.galenframework.rainbow4j.ImageCompareResult;5ImageCompareResult imageCompareResult = new ImageCompareResult();6imageCompareResult.getTotalPixels();7ImageCompareResult imageCompareResult = new ImageCompareResult();8imageCompareResult.getTotalPixels();9import com.galenframework.rainbow4j.ImageCompareResult;10ImageCompareResult imageCompareResult = new ImageCompareResult();11imageCompareResult.getTotalPixels();12import com.galenframework.rainbow4j.ImageCompareResult;13ImageCompareResult imageCompareResult = new ImageCompareResult();14imageCompareResult.getTotalPixels();15import com.galenframework.rainbow4j.ImageCompareResult;16ImageCompareResult imageCompareResult = new ImageCompareResult();17imageCompareResult.getTotalPixels();18import com.galenframework.rainbow4j.ImageCompareResult;19ImageCompareResult imageCompareResult = new ImageCompareResult();20imageCompareResult.getTotalPixels();21import com.galenframework.rainbow4j.ImageCompareResult;22ImageCompareResult imageCompareResult = new ImageCompareResult();23imageCompareResult.getTotalPixels();24import com.galenframework.rainbow4j.ImageCompareResult;25ImageCompareResult imageCompareResult = new ImageCompareResult();26imageCompareResult.getTotalPixels();27import com.galenframework.rainbow4j.ImageCompareResult;28ImageCompareResult imageCompareResult = new ImageCompareResult();29imageCompareResult.getTotalPixels();

getTotalPixels

Using AI Code Generation

1ImageCompareResult imageCompareResult = new ImageCompareResult();2int totalPixels = imageCompareResult.getTotalPixels();3int mismatchedPixels = imageCompareResult.getMismatchedPixels();4int mismatchedPixelsPercentage = imageCompareResult.getMismatchedPixelsPercentage();5ImageCompareResult imageCompareResult = new ImageCompareResult();6int totalPixels = imageCompareResult.getTotalPixels();7int mismatchedPixels = imageCompareResult.getMismatchedPixels();8int mismatchedPixelsPercentage = imageCompareResult.getMismatchedPixelsPercentage();9ImageCompareResult imageCompareResult = new ImageCompareResult();10int totalPixels = imageCompareResult.getTotalPixels();11int mismatchedPixels = imageCompareResult.getMismatchedPixels();12int mismatchedPixelsPercentage = imageCompareResult.getMismatchedPixelsPercentage();13ImageCompareResult imageCompareResult = new ImageCompareResult();14int totalPixels = imageCompareResult.getTotalPixels();15int mismatchedPixels = imageCompareResult.getMismatchedPixels();16int mismatchedPixelsPercentage = imageCompareResult.getMismatchedPixelsPercentage();

getTotalPixels

Using AI Code Generation

1imageCompareResult.getTotalPixels()2imageCompareResult.getPixelsWithDifferences()3imageCompareResult.getPixelsWithDifferencesPercentage()4imageCompareResult.getPixelsWithoutDifferences()5imageCompareResult.getPixelsWithoutDifferencesPercentage()6imageCompareResult.getPixelsWithIgnoredDifferences()7imageCompareResult.getPixelsWithIgnoredDifferencesPercentage()8imageCompareResult.getAverageColorDifference()9imageCompareResult.getMaximumColorDifference()10imageCompareResult.getMinimumColorDifference()11imageCompareResult.getStandardDeviationOfColorDifference()

getTotalPixels

Using AI Code Generation

1ImageCompareResult result = new ImageCompareResult();2int totalPixels = result.getTotalPixels();3System.out.println(totalPixels);4ImageCompareResult result = new ImageCompareResult();5double percentage = result.getPercentage();6System.out.println(percentage);7ImageCompareResult result = new ImageCompareResult();8BufferedImage differenceImage = result.getDifferenceImage();9System.out.println(differenceImage);10ImageCompareResult result = new ImageCompareResult();11BufferedImage differenceImage = result.getDifferenceImage();12System.out.println(differenceImage);13ImageCompareResult result = new ImageCompareResult();14BufferedImage differenceImage = result.getDifferenceImage();15System.out.println(differenceImage);16ImageCompareResult result = new ImageCompareResult();17BufferedImage differenceImage = result.getDifferenceImage();18System.out.println(differenceImage);19ImageCompareResult result = new ImageCompareResult();20BufferedImage differenceImage = result.getDifferenceImage();21System.out.println(differenceImage);22ImageCompareResult result = new ImageCompareResult();23BufferedImage differenceImage = result.getDifferenceImage();24System.out.println(differenceImage);25ImageCompareResult result = new ImageCompareResult();26BufferedImage differenceImage = result.getDifferenceImage();27System.out.println(differenceImage);

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