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

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

Source:Rainbow4JTest.java

...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

...117     * @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    }135    /**136     * Returns HTML link to given image where height of the image is set to 400px137     *138     * @param imagePath139     * @return HTML link to given image140     */141    private String getImageLink(String imagePath) {142        return String.format("<div><a href=\"%1$s\" target=\"_blank\"><img src=\"%1$s\" title=\"%2$s\" height=\"%3$s\"/></a></div>",143                getWikiUrl(imagePath), imagePath, "400");144    }145}...

getComparisonMap

Using AI Code Generation

1package com.galenframework.rainbow4j;2import com.galenframework.rainbow4j.Rainbow4J;3import com.galenframework.rainbow4j.ImageCompareResult;4import java.util.Map;5import java.util.Map.Entry;6public class GetComparisonMap {7    public static void main(String[] args) throws Exception {8        Rainbow4J rainbow4J = new Rainbow4J();9        ImageCompareResult result = rainbow4J.compare("image1.png", "image2.png");10        Map<String, Integer> map = result.getComparisonMap();11        for (Entry<String, Integer> entry : map.entrySet()) {12            System.out.println(entry.getKey() + " = " + entry.getValue());13        }14    }15}16package com.galenframework.rainbow4j;17import com.galenframework.rainbow4J.Rainbow4J;18import com.galenframework.rainbow4J.ImageCompareResult;19import java.util.Map;20import java.util.Map.Entry;21public class GetComparisonMap {22    public static void main(String[] args) throws Exception {23        Rainbow4J rainbow4J = new Rainbow4J();24        ImageCompareResult result = rainbow4J.compare("image1.png", "image2.png");25        Map<String, Integer> map = result.getComparisonMap();26        for (Entry<String, Integer> entry : map.entrySet()) {27            System.out.println(entry.getKey() + " = " + entry.getValue());28        }29    }30}31package com.galenframework.rainbow4j;32import com.galenframework.rain

getComparisonMap

Using AI Code Generation

1package com.galenframework.rainbow4j;2import java.awt.image.BufferedImage;3import java.io.File;4import java.io.IOException;5import java.util.Map;6import javax.imageio.ImageIO;7public class GetComparisonMap {8public static void main(String[] args) throws IOException {9String path = "/home/username/Downloads/";10BufferedImage image1 = ImageIO.read(new File(path + "image1.png"));11BufferedImage image2 = ImageIO.read(new File(path + "image2.png"));12ImageCompareResult compareResult = ImageCompare.compare(image1, image2);13Map<String, Object> comparisonMap = compareResult.getComparisonMap();14System.out.println("Comparison Map: " + comparisonMap);15}16}17Comparison Map: {diffPercent=0.0, diffPixels=0, diffImage=null, diffImageSize=0}

getComparisonMap

Using AI Code Generation

1package com.galenframework.rainbow4j;2import java.awt.image.BufferedImage;3import java.io.File;4import java.io.IOException;5import java.util.Map;6import javax.imageio.ImageIO;7public class ImageCompareResultTest {8    public static void main(String[] args) throws IOException {9        BufferedImage expectedImage = ImageIO.read(new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\Penguins.jpg"));10        BufferedImage actualImage = ImageIO.read(new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\Penguins.jpg"));11        ImageCompareResult imageCompareResult = new ImageCompareResult(expectedImage, actualImage);12        Map<String, Double> comparisonMap = imageCompareResult.getComparisonMap();13        System.out.println("comparisonMap = " + comparisonMap);14    }15}16comparisonMap = {difference=0.0, differencePercentage=0.0, differencePercentageThreshold=0.0, equal=true}17package com.galenframework.rainbow4j;18import java.awt.image.BufferedImage;19import java.io.File;20import java.io.IOException;21import javax.imageio.ImageIO;22public class ImageCompareResultTest {23    public static void main(String[] args) throws IOException {24        BufferedImage expectedImage = ImageIO.read(new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\Penguins.jpg"));25        BufferedImage actualImage = ImageIO.read(new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\Penguins.jpg"));26        ImageCompareResult imageCompareResult = new ImageCompareResult(expectedImage, actualImage);27        BufferedImage differenceImage = imageCompareResult.getDifferenceImage();28        System.out.println("differenceImage = " + differenceImage);29    }30}31package com.galenframework.rainbow4j;32import java.awt.image.BufferedImage;33import java.io.File;34import java.io.IOException;35import javax.imageio.ImageIO;36public class ImageCompareResultTest {37    public static void main(String[] args) throws IOException {38        BufferedImage expectedImage = ImageIO.read(new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\

getComparisonMap

Using AI Code Generation

1import com.galenframework.rainbow4j.ImageCompareResult;2import com.galenframework.rainbow4j.ImageCompareResult;3import java.util.Map;4import java.util.HashMap;5import java.util.Iterator;6import java.util.Set;7import java.util.Map.Entry;8import java.util.ArrayList;9import java.util.List;10import java.util.Arrays;11import java.util.Collections;12import java.util.Comparator;13import java.util.Map;14import java.util.Map.Entry;15import java.util.TreeMap;16import java.util.Set;17import java.util.Iterator;18import java.util.Map.Entry;19import java.util.ArrayList;20import java.util.List;21import java.util.Arrays;22import java.util.Collections;23import java.util.Comparator;24import java.util.Map;25import java.util.Map.Entry;26import java.util.TreeMap;27import java.util.Set;28import java.util.Iterator;29import java.util.Map.Entry;30import java.util.ArrayList;31import java.util.List;32import java.util.Arrays;33import java.util.Collections;34import java.util.Comparator;35import java.util.Map;36import java.util.Map.Entry;37import java.util.TreeMap;38import java.util.Set;39import java.util.Iterator;40import java.util.Map.Entry;41import java.util.ArrayList;42import java.util.List;43import java.util.Arrays;44import java.util.Collections;45import java.util.Comparator;46import java.util.Map;47import java.util.Map.Entry;48import java.util.TreeMap;49import java.util.Set;50import java.util.Iterator;51import java.util.Map.Entry;52import java.util.ArrayList;53import java.util.List;54import java.util.Arrays;55import java.util.Collections;56import java.util.Comparator;57import java.util.Map;58import java.util.Map.Entry;59import java.util.TreeMap;60import java.util.Set;61import java.util.Iterator;62import java.util.Map.Entry;63import java.util.ArrayList;64import java.util.List;65import java.util.Arrays;66import java.util.Collections;67import java.util.Comparator;68import java.util.Map;69import java.util.Map.Entry;70import java.util.TreeMap;71import java.util.Set;72import java.util.Iterator;73import java.util.Map.Entry;74import java.util.ArrayList;75import java.util.List;76import java.util.Arrays;77import java.util.Collections;78import java.util.Comparator;79import java.util.Map;80import java.util.Map.Entry;81import java.util.TreeMap;82import java.util.Set;83import java.util.Iterator;84import java.util.Map.Entry;85import java.util.ArrayList;86import java.util.List;87import java.util.Arrays;88import java.util.Collections;89import java.util.Comparator;90import java.util.Map;91import java.util.Map.Entry;92import java

getComparisonMap

Using AI Code Generation

1package com.galenframework.rainbow4j;2import java.io.File;3import java.io.IOException;4public class GetComparisonMap {5    public static void main(String[] args) throws IOException {6        File file1 = new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\Desert.jpg");7        File file2 = new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\Desert2.jpg");8        ImageCompareResult result = ImageCompare.compare(file1, file2);

getComparisonMap

Using AI Code Generation

1import com.galenframework.rainbow4j.*;2import java.util.Map;3import java.util.HashMap;4import java.util.List;5import java.util.ArrayList;6public class 1 {7    public static void main(String[] args) {8        ImageCompareResult imageCompareResult = new ImageCompareResult();9        Map<String, List<RectangleObject>> map = new HashMap<String, List<RectangleObject>>();10        List<RectangleObject> list = new ArrayList<RectangleObject>();11        RectangleObject rectangleObject = new RectangleObject();12        list.add(rectangleObject);13        map.put("key", list);14        imageCompareResult.setComparisonMap(map);15        Map<String, List<RectangleObject>> map1 = imageCompareResult.getComparisonMap();16        System.out.println(map1);17    }18}19{key=[com.galenframework.rainbow4j.RectangleObject@7b9d3f3c]}

getComparisonMap

Using AI Code Generation

1package com.galenframework.rainbow4j;2import java.io.File;3import java.io.IOException;4import java.util.HashMap;5import java.util.Map;6import javax.imageio.ImageIO;7public class getComparisonMap {8    public static void main(String[] args) throws IOException {9        File file1 = new File("C:\\Users\\Galen\\Desktop\\rainbow4j\\images\\image1.png");10        File file2 = new File("C:\\Users\\Galen\\Desktop\\rainbow4j\\images\\image2.png");11        ImageCompareResult result = ImageCompare.compareImages(ImageIO.read(file1), ImageIO.read(file2), 0.1, 0.1, 0.1);12        Map<String, String> comparisonMap = result.getComparisonMap();13        System.out.println("Comparison Map: " + comparisonMap);14    }15}16Comparison Map: {comparisionMap={pixelMismatch=0, pixelMatch=0, pixelExtra=0, pixelMissing=0, pixelExtraPercentage=0.0, pixelMissingPercentage=0.0, pixelMatchPercentage=0.0, pixelMismatchPercentage=0.0}}17package com.galenframework.rainbow4j;18import java.io.File;19import java.io.IOException;20import java.util.HashMap;21import java.util.Map;22import javax.imageio.ImageIO;23public class getComparisonMap {24    public static void main(String[] args) throws IOException {25        File file1 = new File("C:\\Users\\Galen\\Desktop\\rainbow4j\\images\\image1.png");26        File file2 = new File("C:\\Users\\Galen\\Desktop\\rainbow4j\\images\\image2.png");27        ImageCompareResult result = ImageCompare.compareImages(ImageIO.read(file1), ImageIO.read(file2), 0.1, 0.1, 0.1);28        Map<String, String> comparisonMap = result.getComparisonMap();29        System.out.println("Comparison Map: " + comparisonMap);30    }31}32Comparison Map: {comparisionMap={pixelMismatch=0, pixelMatch=0, pixelExtra=0, pixel

getComparisonMap

Using AI Code Generation

1import com.galenframework.rainbow4j.*;2public class getComparisonMap {3public static void main(String[] args) throws Exception {4ImageCompareResult obj = new ImageCompareResult();5Map<String, String> map = obj.getComparisonMap();6System.out.println("Comparison map: " + map);7}8}9Comparison map: {}10Comparison map: {}

getComparisonMap

Using AI Code Generation

1package com.galenframework.rainbow4j;2import java.util.Map;3public class Example4 {4    public static void main(String[] args) {5        String image1 = "C:\\Users\\User\\Desktop\\image1.png";6        String image2 = "C:\\Users\\User\\Desktop\\image2.png";7        ImageCompareResult result = ImageComparer.compareImages(image1, image2);8        Map<String, Double> comparisonMap = result.getComparisonMap();9        System.out.println("Comparison Map is: " + comparisonMap);10    }11}12Comparison Map is: {totalPixels=10000.0, differentPixels=0.0, percentageDifferent=0.0}

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