How to use rescale method of com.intuit.karate.robot.OpenCvUtils class

Best Karate code snippet using com.intuit.karate.robot.OpenCvUtils.rescale

Source:OpenCvUtils.java Github

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...84 list.add(r.toAbsolute(source));85 }86 return list;87 }88 public static Mat rescale(Mat mat, double scale) {89 Mat resized = new Mat();90 resize(mat, resized, new Size(), scale, scale, CV_INTER_AREA);91 return resized;92 }93 private static final int TARGET_MINVAL_FACTOR = 150; // magic number, lower is stricter94 private static final int BLOCK_SIZE = 5;95 private static List<int[]> getPointsBelowThreshold(Mat src, double threshold) {96 Mat dst = new Mat();97 threshold(src, dst, threshold, 1, CV_THRESH_BINARY_INV);98 Mat non = new Mat();99 findNonZero(dst, non);100 int len = (int) non.total();101 int xPrev = -BLOCK_SIZE;102 int yPrev = -BLOCK_SIZE;103 int countPrev = 0;104 int xSum = 0;105 int ySum = 0;106 List<int[]> points = new ArrayList(len);107 for (int i = 0; i < len; i++) {108 Pointer ptr = non.ptr(i);109 Point p = new Point(ptr);110 int x = p.x();111 int y = p.y();112 int xDelta = Math.abs(x - xPrev);113 int yDelta = Math.abs(y - yPrev);114 if (xDelta < BLOCK_SIZE && yDelta < BLOCK_SIZE) {115 countPrev++;116 xSum += x;117 ySum += y;118 } else {119 if (countPrev > 0) {120 int xFinal = Math.floorDiv(xSum, countPrev);121 int yFinal = Math.floorDiv(ySum, countPrev);122 // logger.debug("end: {}:{}", xFinal, yFinal);123 points.add(new int[]{xFinal, yFinal});124 }125 xSum = x;126 ySum = y;127 countPrev = 1;128 }129 xPrev = x;130 yPrev = y;131 }132 if (countPrev > 0) {133 int xFinal = Math.floorDiv(xSum, countPrev);134 int yFinal = Math.floorDiv(ySum, countPrev);135 points.add(new int[]{xFinal, yFinal});136 }137 return points;138 }139 private static Region toRegion(RobotBase robot, int[] p, double scale, int targetWidth, int targetHeight) {140 int x = (int) Math.round(p[0] / scale);141 int y = (int) Math.round(p[1] / scale);142 int width = (int) Math.round(targetWidth / scale);143 int height = (int) Math.round(targetHeight / scale);144 return new Region(robot, x, y, width, height);145 }146 private static int[] templateAndMin(int strictness, double scale, Mat source, Mat target, Mat result) {147 Mat resized = scale == 1 ? source : rescale(source, scale);148 matchTemplate(resized, target, result, CV_TM_SQDIFF);149 DoublePointer minValPtr = new DoublePointer(1);150 DoublePointer maxValPtr = new DoublePointer(1);151 Point minPt = new Point();152 Point maxPt = new Point();153 minMaxLoc(result, minValPtr, maxValPtr, minPt, maxPt, null);154 int minVal = (int) minValPtr.get();155 int x = minPt.x();156 int y = minPt.y();157 return new int[]{x, y, minVal};158 }159 private static int collect(int strictness, List<Region> found, boolean findAll, RobotBase robot, Mat source, Mat target, double scale) {160 int targetWidth = target.cols();161 int targetHeight = target.rows();...

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rescale

Using AI Code Generation

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1def image = OpenCvUtils.rescale(image, 0.5)2def image = OpenCvUtils.rescale(image, 0.5, 0.5)3def image = OpenCvUtils.rescale(image, 0.5, 0.5, 0)4def image = OpenCvUtils.rescale(image, 0.5, 0.5, 0, 0)5def image = OpenCvUtils.rescale(image, 0.5, 0.5, 0, 0, 0)6def image = OpenCvUtils.rescale(image, 0.5, 0.5, 0, 0, 0, 0)7def image = OpenCvUtils.rescale(image, 0.5, 0.5, 0, 0, 0, 0, 0)8def image = OpenCvUtils.rescale(image, 0.5, 0.5, 0, 0, 0, 0, 0, 0)9def image = OpenCvUtils.rescale(image, 0.5, 0.5, 0, 0, 0, 0, 0, 0, 0)10def image = OpenCvUtils.rescale(image, 0.5, 0.5, 0, 0, 0, 0, 0, 0, 0

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Using AI Code Generation

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1def image = rescale('path/to/image.png', 0.5)2def image = rescale('path/to/image.png', 0.5, 0.5)3def image = resize('path/to/image.png', 100, 100)4def image = resize('path/to/image.png', 100, 100, 'INTER_AREA')5def image = rotate('path/to/image.png', 90)6def image = rotate('path/to/image.png', 90, 0.5, 0.5)7def image = rotate('path/to/image.png', 90, 0.5, 0.5, 1.0)8def image = crop('path/to/image.png', 100, 100, 100, 100)9def image = crop('path/to/image.png', 100, 100, 100, 100, 1.0)10def image = flip('path/to/image.png', 'HORIZONTAL')11def image = flip('path/to/image.png', 'VERTICAL')12def image = flip('path/to/image.png', 'HORIZONTAL_AND_VERTICAL')13def image = equalizeHist('path/to/image.png')14def image = matchTemplate('path/to/image.png', 'path/to/template.png', 'CCOEFF_NORMED')15def image = matchTemplate('path/to/image.png', 'path

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Using AI Code Generation

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1def rescaled = com.intuit.karate.robot.OpenCvUtils.rescale(image, 200)2def bufferedImage = com.intuit.karate.robot.OpenCvUtils.toBufferedImage(rescaled)3def bytes = com.intuit.karate.robot.OpenCvUtils.toBytes(bufferedImage)4def base64 = com.intuit.karate.robot.OpenCvUtils.toBase64(bytes)5def base64 = com.intuit.karate.robot.OpenCvUtils.toBase64(image, 200)6def bytes = com.intuit.karate.robot.OpenCvUtils.toBytes(image, 200)7def bufferedImage = com.intuit.karate.robot.OpenCvUtils.toBufferedImage(image, 200)8def rescaled = com.intuit.karate.robot.OpenCvUtils.rescale(image, 200)9def base64 = com.intuit.karate.robot.OpenCvUtils.toBase64(image)

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Using AI Code Generation

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1* def image = read('classpath:karate-logo.png')2* def resized = OpenCvUtils.rescale(image, 100, 100)3* def resized2 = OpenCvUtils.rescale(image, 100, 100, true)4* def resized3 = OpenCvUtils.rescale(image, 100, 100, false)5* def resized4 = OpenCvUtils.rescale(image, 100, 100, true, false)6* def resized5 = OpenCvUtils.rescale(image, 100, 100, false, false)7* def resized6 = OpenCvUtils.rescale(image, 100, 100, true, true)8* def resized7 = OpenCvUtils.rescale(image, 100, 100, false, true)9* def resized8 = OpenCvUtils.rescale(image, 100, 100, false, true, 0.5)10* def resized9 = OpenCvUtils.rescale(image, 100, 100, false, true, 0.5, 0.5)11* def resized10 = OpenCvUtils.rescale(image, 100, 100, false, true, 0.5, 0.5, 0.5)12* def resized11 = OpenCvUtils.rescale(image, 100, 100, false, true, 0.5, 0.5, 0.5, 0.5)

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1 * def image = read('classpath:logo.png')2 * def rescaled = rescale(image, 0.5)3 * match rescaled == read('classpath:logo_rescaled.png')4 * def image = read('classpath:logo.png')5 * def rescaled = rescale(image, 0.5)6 * match rescaled == read('classpath:logo_rescaled.png')7 * def image = read('classpath:logo.png')8 * def rescaled = rescale(image, 0.5)9 * match rescaled == read('classpath:logo_rescaled.png')10 * def image = read('classpath:logo.png')11 * def rescaled = rescale(image, 0.5)

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Using AI Code Generation

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1import com.intuit.karate.robot.OpenCvUtils2def img = OpenCvUtils.loadImage('classpath:image.jpg')3def rescaled = OpenCvUtils.rescale(img, 0.5)4OpenCvUtils.saveImage(rescaled, 'classpath:rescaled.jpg')5import com.intuit.karate.robot.OpenCvUtils6def img = OpenCvUtils.loadImage('classpath:image.jpg')7def rescaled = OpenCvUtils.rescale(img, 200, 100)8OpenCvUtils.saveImage(rescaled, 'classpath:rescaled.jpg')9import com.intuit.karate.robot.OpenCvUtils10import org.opencv.imgproc.Imgproc11def img = OpenCvUtils.loadImage('classpath:image.jpg')12def rescaled = OpenCvUtils.rescale(img, 0.5, Imgproc.INTER_AREA)13OpenCvUtils.saveImage(rescaled, 'classpath:rescaled.jpg')14import com.intuit.karate.robot.OpenCvUtils15import org.opencv.imgproc.Imgproc

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