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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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