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

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

Source:Rainbow4JTest.java Github

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

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Source:ImageCompareFixture.java Github

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

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getPercentage

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

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getPercentage

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

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getPercentage

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

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getPercentage

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

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getPercentage

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

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getPercentage

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

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getPercentage

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

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getPercentage

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

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