Best Galen code snippet using com.galenframework.rainbow4j.ImageHandler.getHeight
Source:Rainbow4J.java
...43 return readSpectrum(image, null, precision);44 }45 public static ImageCompareResult compare(BufferedImage imageA, BufferedImage imageB, ComparisonOptions options) throws IOException {46 return compare(imageA, imageB,47 new Rectangle(0, 0, imageA.getWidth(), imageA.getHeight()),48 new Rectangle(0, 0, imageB.getWidth(), imageB.getHeight()),49 options);50 }51 public static ImageCompareResult compare(BufferedImage imageA, BufferedImage imageB, Rectangle areaA, Rectangle areaB, ComparisonOptions options) {52 if (options.getTolerance() < 0 ) {53 options.setTolerance(0);54 }55 if (areaA.width + areaA.x > imageA.getWidth() ||56 areaA.height + areaA.y > imageA.getHeight()) {57 throw new RuntimeException("Specified area is outside for original image");58 }59 if (areaB.width + areaB.x > imageB.getWidth() ||60 areaB.height + areaB.y > imageB.getHeight()) {61 throw new RuntimeException("Specified area is outside for secondary image");62 }63 int imageAWidth = imageA.getWidth();64 int imageAHeight = imageA.getHeight();65 int Cax = areaA.x;66 int Cay = areaA.y;67 int Cbx = areaB.x;68 int Cby = areaB.y;69 int Wa = areaA.width;70 int Ha = areaA.height;71 int Wb = areaB.width;72 int Hb = areaB.height;73 double Kx = ((double)Wb) / ((double)Wa);74 double Ky = ((double)Hb) / ((double)Ha);75 ImageHandler handlerA = new ImageHandler(imageA);76 ImageHandler handlerB = new ImageHandler(imageB);77 applyAllFilters(areaA, areaB, options, handlerA, handlerB);78 int tolerance = options.getTolerance();79 long minMismatchingPixels = Integer.MAX_VALUE;80 ImageHandler resultingMapHandler = null;81 int resultingOffsetX = 0;82 int resultingOffsetY = 0;83 // Here it moves within a spiral for better performance when analyzing a large offset84 int offsetX = 0;85 int offsetY = 0;86 int spiral_dx = 0;87 int spiral_dy = -1;88 int spiral_n = 0;89 if (options.getAnalyzeOffset() > 0) {90 spiral_n = options.getAnalyzeOffset() * 2 + 1;91 }92 int max_spiral = spiral_n * spiral_n;93 for (int spiral_i = 0; spiral_i <= max_spiral; spiral_i++) {94 if ((offsetX == offsetY) || (offsetX < 0 && offsetX == -offsetY) || (offsetX > 0 && offsetX == 1 - offsetY)){95 int temp = spiral_dx;96 spiral_dx = -spiral_dy;97 spiral_dy = temp;98 }99 ImageHandler mapHandler = new ImageHandler(areaA.width, areaA.height);100 long mismatchingPixels = 0;101 int x = 0, y = 0;102 while(y < Ha && minMismatchingPixels > 0) {103 while (x < Wa && mismatchingPixels < minMismatchingPixels) {104 int xA = x + Cax + offsetX;105 int yA = y + Cay + offsetY;106 if (xA >= 0 && xA < imageAWidth && yA >= 0 && yA < imageAHeight ) {107 if (!shouldPixelBeIgnored(xA, yA, options)) {108 Color cA = handlerA.pickColor(xA, yA);109 int xB, yB;110 if (options.isStretchToFit()) {111 xB = (int) Math.round((((double) x) * Kx) + Cbx);112 yB = (int) Math.round(((double) y) * Ky + Cby);113 xB = Math.min(xB, Cbx + Wb - 1);114 yB = Math.min(yB, Cby + Hb - 1);115 } else {116 xB = x + Cbx;117 yB = y + Cby;118 }119 Color cB = handlerB.pickColor(xB, yB);120 long colorError = ImageHandler.colorDiff(cA, cB);121 if (colorError > tolerance) {122 Color color = Color.red;123 int diff = (int) (colorError - tolerance);124 if (diff > 30 && diff < 80) {125 color = Color.yellow;126 } else if (diff <= 30) {127 color = Color.green;128 }129 mapHandler.setRGBA(x, y, color.getRed(), color.getGreen(), color.getBlue(), 255);130 mismatchingPixels += 1;131 } else {132 mapHandler.setRGBA(x, y, 0, 0, 0, 255);133 }134 } else {135 mapHandler.setRGBA(x, y, 0, 0, 0, 160);136 }137 } else {138 mapHandler.setRGBA(x, y, 0, 0, 0, 255);139 }140 x += 1;141 }142 y += 1;143 x = 0;144 }145 if (mismatchingPixels < minMismatchingPixels) {146 minMismatchingPixels = mismatchingPixels;147 resultingOffsetX = offsetX;148 resultingOffsetY = offsetY;149 resultingMapHandler = mapHandler;150 }151 offsetX += spiral_dx;152 offsetY += spiral_dy;153 }154 applyFilters(resultingMapHandler, options.getMapFilters(), new Rectangle(0, 0, resultingMapHandler.getWidth(), resultingMapHandler.getHeight()));155 ImageCompareResult result = analyzeComparisonMap(resultingMapHandler);156 result.setOffsetX(resultingOffsetX);157 result.setOffsetY(resultingOffsetY);158 result.setOriginalFilteredImage(handlerA.getImage().getSubimage(areaA.x, areaA.y, areaA.width, areaA.height));159 result.setSampleFilteredImage(handlerB.getImage().getSubimage(areaB.x, areaB.y, areaB.width, areaB.height));160 return result;161 }162 private static boolean shouldPixelBeIgnored(int x, int y, ComparisonOptions options) {163 if (options != null && options.getIgnoreRegions() != null) {164 for (Rectangle rectangle : options.getIgnoreRegions()) {165 if (rectangle.contains(x, y)) {166 return true;167 }168 }169 }170 return false;171 }172 private static ImageCompareResult analyzeComparisonMap(ImageHandler mapHandler) {173 ImageCompareResult result = new ImageCompareResult();174 long totalMismatchingPixels = 0;175 ByteBuffer bytes = mapHandler.getBytes();176 for (int k = 0; k < bytes.capacity() - ImageHandler.BLOCK_SIZE; k += ImageHandler.BLOCK_SIZE) {177 if (((int)bytes.get(k) &0xff) > 0 || ((int)bytes.get(k + 1) &0xff) > 0 || ((int)bytes.get(k + 2) &0xff) > 0) {178 totalMismatchingPixels++;179 }180 }181 double totalPixels = (mapHandler.getWidth() * mapHandler.getHeight());182 result.setPercentage(100.0 * totalMismatchingPixels / totalPixels);183 result.setTotalPixels(totalMismatchingPixels);184 result.setComparisonMap(mapHandler.getImage());185 return result;186 }187 private static void applyAllFilters(Rectangle areaA, Rectangle areaB, ComparisonOptions options, ImageHandler handlerA, ImageHandler handlerB) {188 applyFilters(handlerA, options.getOriginalFilters(), areaA);189 applyFilters(handlerB, options.getSampleFilters(), areaB);190 }191 private static void applyFilters(ImageHandler handler, List<ImageFilter> filters, Rectangle area) {192 if (filters != null) {193 for (ImageFilter filter : filters) {194 handler.applyFilter(filter, area);195 }196 }197 }198 /**199 *200 * @param image an image for calculating the color spectrum201 * @param precision 8 to 256 value for spectrum accuracy. The bigger value - the better precision, but the more memory it takes202 * @return203 * @throws IOException204 */205 public static Spectrum readSpectrum(BufferedImage image, Rectangle area, int precision) throws IOException {206 if (precision < 8) throw new IllegalArgumentException("Color size should not be less then 8");207 if (precision > 256) throw new IllegalArgumentException("Color size should not be bigger then 256");208 int spectrum[][][] = new int[precision][precision][precision];209 int width = image.getWidth();210 int height = image.getHeight();211 int[] a = new int[width * height];212 image.getRGB(0, 0, width, height, a, 0, width);213 int spectrumWidth = width;214 int spectrumHeight = height;215 if (area == null) {216 area = new Rectangle(0, 0, width, height);217 }218 else {219 spectrumWidth = area.width;220 spectrumHeight = area.height;221 }222 int k = 0;223 int r,g,b;224 for (int y = area.y; y < area.y + area.height; y++) {225 for (int x = area.x; x < area.x + area.width; x++) {226 k = y * width + x;227 r = ((a[k] >> 16) & 0xff) * precision / 256;228 g = ((a[k] >> 8) & 0xff) * precision / 256;229 b = ((a[k]) & 0xff) * precision / 256;230 spectrum[Math.min(r, precision - 1)][Math.min(g, precision - 1)][Math.min(b, precision - 1)] += 1;231 }232 }233 return new Spectrum(spectrum, spectrumWidth, spectrumHeight);234 }235 public static CustomSpectrum readCustomSpectrum(BufferedImage image, List<ColorClassifier> colorClassifiers) {236 return readCustomSpectrum(image, colorClassifiers, new Rectangle(0, 0, image.getWidth(), image.getHeight()));237 }238 public static CustomSpectrum readCustomSpectrum(BufferedImage image, List<ColorClassifier> colorClassifiers, Rectangle area) {239 return readCustomSpectrum(image, colorClassifiers, area, DEFAULT_COLOR_TOLERANCE_FOR_SPECTRUM);240 }241 public static CustomSpectrum readCustomSpectrum(BufferedImage image, List<ColorClassifier> colorClassifiers, Rectangle area, int colorTolerance) {242 int maxColorSquareDistance = colorTolerance*colorTolerance*3;243 Map<String, AtomicInteger> colorPickers = new HashMap<>();244 for (ColorClassifier classifier : colorClassifiers) {245 colorPickers.put(classifier.getName(), new AtomicInteger(0));246 }247 int amountOfUnmatchedColor = 0;248 int width = image.getWidth();249 int height = image.getHeight();250 int[] a = new int[width * height];251 image.getRGB(0, 0, width, height, a, 0, width);252 if (area == null) {253 area = new Rectangle(0, 0, width, height);254 }255 int k = 0;256 int r,g,b;257 for (int y = area.y; y < area.y + area.height; y++) {258 for (int x = area.x; x < area.x + area.width; x++) {259 k = y * width + x;260 r = ((a[k] >> 16) & 0xff);261 g = ((a[k] >> 8) & 0xff);262 b = ((a[k]) & 0xff);263 boolean colorMatched = false;...
Source:MaskFilter.java
...26 public void apply(ByteBuffer bytes, int width, int height, Rectangle area) {27 int maskX, maskY, m, k, averageMaskPixel;28 ByteBuffer maskBytes = maskImage.getBytes();29 int maskWidth = maskImage.getWidth();30 int maskHeight = maskImage.getHeight();31 for (int y = area.y; y < area.y + area.height; y++) {32 for (int x = area.x; x < area.x + area.width; x++) {33 k = y * width * ImageHandler.BLOCK_SIZE + x * ImageHandler.BLOCK_SIZE;34 maskX = x - area.x;35 maskY = y - area.y;36 if (maskX < maskWidth && maskY < maskHeight) {37 m = maskY * maskWidth * ImageHandler.BLOCK_SIZE + maskX * ImageHandler.BLOCK_SIZE;38 averageMaskPixel = (((int) maskBytes.get(m)) +39 ((int) maskBytes.get(m + 1)) +40 ((int) maskBytes.get(m + 2))) / 3;41 } else {42 averageMaskPixel = 255;43 }44 // Changing only alpha...
getHeight
Using AI Code Generation
1package com.galenframework.rainbow4j;2import java.awt.image.BufferedImage;3import java.io.File;4import java.io.IOException;5import javax.imageio.ImageIO;6public class ImageHandler {7public static void main(String[] args) throws IOException {8BufferedImage image = ImageIO.read(new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\Desert.jpg"));9int height = image.getHeight();10System.out.println("height of the image is : " + height);11}12}
getHeight
Using AI Code Generation
1package com.galenframework.rainbow4j;2import java.awt.image.BufferedImage;3import java.io.File;4import java.io.IOException;5import javax.imageio.ImageIO;6public class ImageHandler {7public static void main(String[] args) throws IOException {8BufferedImage image = ImageIO.read(new File("C:\\Users\\Galen\\Desktop\\test.png"));9int height = image.getHeight();10int width = image.getWidth();11System.out.println("The height of the image is: " + height);12System.out.println("The width of the image is: " + width);13}14}15ImageHandler.getHeight() method16ImageHandler.getWidth() method
getHeight
Using AI Code Generation
1import com.galenframework.rainbow4j.ImageHandler;2public class 1 {3 public static void main(String[] args) throws Exception {4 ImageHandler imageHandler = new ImageHandler();5 imageHandler.loadImage("C:\\Users\\Admin\\Desktop\\1.png");6 System.out.println(imageHandler.getHeight());7 }8}
getHeight
Using AI Code Generation
1package com.galenframework.rainbow4j;2import com.galenframework.rainbow4j.ImageHandler;3public class ImageHandlerDemo {4 public static void main(String[] args) {5 ImageHandler imageHandler = new ImageHandler();6 int height = imageHandler.getHeight("C:/Users/Pratik/Desktop/1.png");7 System.out.println("Height of image is: " + height);8 }9}10package com.galenframework.rainbow4j;11import com.galenframework.rainbow4j.ImageHandler;12public class ImageHandlerDemo {13 public static void main(String[] args) {14 ImageHandler imageHandler = new ImageHandler();15 int width = imageHandler.getWidth("C:/Users/Pratik/Desktop/1.png");16 System.out.println("Width of image is: " + width);17 }18}19package com.galenframework.rainbow4j;20import com.galenframework.rainbow4j.ImageHandler;21public class ImageHandlerDemo {22 public static void main(String[] args) {23 ImageHandler imageHandler = new ImageHandler();24 int rgb = imageHandler.getRGB("C:/Users/Pratik/Desktop/1.png", 10, 10);25 System.out.println("RGB value of image is: " + rgb);26 }27}28package com.galenframework.rainbow4j;29import com.galenframework.rainbow4j.ImageHandler;30public class ImageHandlerDemo {31 public static void main(String[] args) {32 ImageHandler imageHandler = new ImageHandler();33 int red = imageHandler.getRed("C:/Users/Pratik/Desktop/1.png", 10, 10);34 System.out.println("Red value of image is: " + red);35 }36}37package com.galenframework.rainbow4j;38import com.galenframework.rainbow4j.ImageHandler
getHeight
Using AI Code Generation
1package com.galenframework.rainbow4j;2import java.io.File;3import java.io.IOException;4import javax.imageio.ImageIO;5import java.awt.image.BufferedImage;6import java.awt.Color;7import java.awt.image.Raster;8import java.awt.image.DataBuffer;9import java.awt.image.WritableRaster;10import java.awt.image.ColorModel;11import java.awt.image.WritableRenderedImage;12import java.awt.image.renderable.ParameterBlock;13import java.awt.image.RenderedImage;14import java.awt.image.renderable.RenderedImageFactory;15import java.awt.Rectangle;16import java.awt.geom.Rectangle2D;17import java.awt.RenderingHints;18import java.util.Hashtable;19import java.awt.image.renderable.RenderContext;20import java.awt.image.renderable.RenderableImage;21import java.awt.image.renderable.RenderableImageOp;22import java.awt.image.renderable.RenderableImageProducer;23import java.awt.image.renderable.RenderableImageFactory;24import java.awt.image.renderable.RenderableImageOp;25import java.awt.image.renderable.RenderableImageProducer;26import java.awt.image.renderable.RenderableImageFactory;27import java.awt.image.renderable.RenderContext;28import java.awt.image.renderable.RenderableImage;29import java.awt.image.renderable.RenderableImageOp;30import java.awt.image.renderable.RenderableImageProducer;31import java.awt.image.renderable.RenderableImageFactory;32import java.awt.image.renderable.RenderableImageOp;33import java.awt.image.renderable.RenderableImageProducer;34import java.awt.image.renderable.RenderableImageFactory;35import java.awt.image.renderable.RenderContext;36import java.awt.image.renderable.RenderableImage;37import java.awt.image.renderable.RenderableImageOp;38import java.awt.image.renderable.RenderableImageProducer;39import java.awt.image.renderable.RenderableImageFactory;40import java.awt.image.renderable.RenderableImageOp;41import java.awt.image.renderable.RenderableImageProducer;42import java.awt.image.renderable.RenderableImageFactory;43import java.awt.image.renderable.RenderContext;44import java.awt.image.renderable.RenderableImage;45import java.awt.image.renderable.RenderableImageOp;46import java.awt.image.renderable.RenderableImageProducer;47import java.awt.image.renderable.RenderableImageFactory;48import java.awt.image.renderable.RenderableImageOp;49import java.awt.image.renderable.RenderableImageProducer;50import java.awt.image.renderable.RenderableImageFactory;51import java.awt.image.renderable.RenderContext;52import java.awt.image.renderable.RenderableImage;53import java.awt.image.renderable.RenderableImageOp
getHeight
Using AI Code Generation
1import com.galenframework.rainbow4j.ImageHandler;2import java.io.File;3import java.io.IOException;4import java.net.URL;5import javax.imageio.ImageIO;6import java.awt.image.BufferedImage;7public class 1 {8 public static void main(String[] args) throws IOException {9 int height = ImageHandler.getHeight(new File("C:/Users/HP/Desktop/1.jpg"));10 System.out.println("Height of the image is: "+height);11 }12}
getHeight
Using AI Code Generation
1package com.galenframework.java.official.Examples;2import com.galenframework.rainbow4j.ImageHandler;3import java.io.File;4import java.io.IOException;5public class getHeight {6 public static void main(String[] args) throws IOException {7 int height = ImageHandler.getHeight(new File("C:/Users/HP/Desktop/1.jpg"));8 System.out.println("Height of image is " + height);9 }10}11package com.galenframework.java.official.Examples;12import com.galenframework.rainbow4j.ImageHandler;13import java.io.File;14import java.io.IOException;15public class getWidth {16 public static void main(String[] args) throws IOException {17 int width = ImageHandler.getWidth(new File("C:/Users/HP/Desktop/1.jpg"));18 System.out.println("Width of image is " + width);19 }20}21package com.galenframework.java.official.Examples;22import com.galenframework.rainbow4j.ImageHandler;23import java.awt.Color;24import java.io.File;25import java.io.IOException;26public class getRGB {27 public static void main(String[] args) throws IOException {28 Color color = ImageHandler.getRGB(new File("C:/Users/HP/Desktop/1.jpg"), 100, 100);29 System.out.println("RGB value of image is " + color);30 }31}32package com.galenframework.java.official.Examples;33import com.galenframework.rainbow4j.ImageHandler;34import java.awt.Color;35import java.io.File;36import java.io.IOException;37public class getRGB1 {38 public static void main(String[] args) throws IOException
getHeight
Using AI Code Generation
1import com.galenframework.rainbow4j.ImageHandler;2import java.io.File;3import java.io.IOException;4import java.net.URL;5import java.util.ArrayList;6import java.util.List;7public class 1 {8 public static void main(String[] args) throws IOException {9 File file = new File("C:\\Users\\Sathish Kumar\\Pictures\\image.png");10 int height = ImageHandler.getHeight(file);11 System.out.println("Height of the image file is " + height);12 }13}
getHeight
Using AI Code Generation
1ImageHandler imageHandler = new ImageHandler();2int height = imageHandler.getHeight("C:/Users/username/Desktop/test.jpg");3System.out.println("Height of image is : " + height);4ImageHandler imageHandler = new ImageHandler();5int width = imageHandler.getWidth("C:/Users/username/Desktop/test.jpg");6System.out.println("Width of image is : " + width);7ImageHandler imageHandler = new ImageHandler();8int rgb = imageHandler.getRGB("C:/Users/username/Desktop/test.jpg", 100, 100);9System.out.println("RGB of image is : " + rgb);10ImageHandler imageHandler = new ImageHandler();11int red = imageHandler.getRed("C:/Users/username/Desktop/test.jpg", 100, 100);12System.out.println("Red of image is : " + red);13ImageHandler imageHandler = new ImageHandler();14int green = imageHandler.getGreen("C:/Users/username/Desktop/test.jpg", 100, 100);15System.out.println("Green of image is : " + green);16ImageHandler imageHandler = new ImageHandler();17int blue = imageHandler.getBlue("C:/Users/username/Desktop/test.jpg", 100, 100);18System.out.println("Blue of image is : " + blue);19ImageHandler imageHandler = new ImageHandler();20int alpha = imageHandler.getAlpha("C:/Users/username/Desktop/test.jpg", 100, 100);21System.out.println("Alpha of image is : " + alpha);
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