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

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

Source:OpenCvUtils.java

...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();162        int targetMinVal = targetWidth * targetHeight * TARGET_MINVAL_FACTOR * strictness;  163        Mat result = new Mat();164        int[] minData = templateAndMin(strictness, scale, source, target, result);165        int minValue = minData[2];166        if (minValue > targetMinVal) {167            logger.debug("no match at scale {}, minVal: {} / {} at {}:{}", scale, minValue, targetMinVal, minData[0], minData[1]);168            if (robot != null && robot.debug) {169                Rect rect = new Rect(minData[0], minData[1], targetWidth, targetHeight);170                Mat temp = drawOnImage(source, rect, Scalar.RED);171                show(temp, scale + " " +  minData[0] + ":" + minData[1] + " " + minValue + " / " + targetMinVal);172            }173            return minData[2];174        }175        logger.debug("found match at scale {}, minVal: {} / {} at {}:{}", scale, minValue, targetMinVal, minData[0], minData[1]);176        if (findAll) {177            List<int[]> points = getPointsBelowThreshold(result, targetMinVal);178            for (int[] p : points) {179                Region region = toRegion(robot, p, scale, targetWidth, targetHeight);180                found.add(region);181            }182        } else {183            Region region = toRegion(robot, minData, scale, targetWidth, targetHeight);184            found.add(region);185        }186        return minValue;187    }188    public static List<Region> find(int strictness, boolean findAll, RobotBase robot, Mat source, Mat target, boolean resize) {189        List<Region> found = new ArrayList();190        collect(strictness, found, findAll, robot, source, target, 1);191        if (!found.isEmpty()) {...

getPointsBelowThreshold

Using AI Code Generation

1import com.intuit.karate.robot.OpenCvUtils2import java.awt.image.BufferedImage3import java.io.File4import javax.imageio.ImageIO5import java.awt.Color6import java.awt.Graphics2D7import java.awt.BasicStroke8import java.awt.Font9def image = ImageIO.read(new File('src/test/resources/opencv/opencv1.jpg'))10def points = OpenCvUtils.getPointsBelowThreshold(image, threshold)11def g = image.createGraphics()12g.setStroke(new BasicStroke(2))13g.setPaint(Color.red)14g.setFont(new Font('Arial Black', Font.BOLD, 20))15points.eachWithIndex{ point, index ->16    g.drawString(index.toString(), point.x, point.y)17    g.drawOval(point.x - 10, point.y - 10, 20, 20)18}19ImageIO.write(image, 'jpg', new File('target/opencv1.jpg'))20import com.intuit.karate.robot.OpenCvUtils21import java.awt.image.BufferedImage22import java.io.File23import javax.imageio.ImageIO24import java.awt.Color25import java.awt.Graphics2D26import java.awt.BasicStroke27import java.awt.Font28def image = ImageIO.read(new File('src/test/resources/opencv/opencv2.jpg'))29def points = OpenCvUtils.getPointsBelowThreshold(image, threshold)30def g = image.createGraphics()31g.setStroke(new BasicStroke(2))32g.setPaint(Color.red)33g.setFont(new Font('Arial Black', Font.BOLD, 20))34points.eachWithIndex{ point, index ->35    g.drawString(index.toString(), point.x, point.y)36    g.drawOval(point.x - 10, point.y - 10, 20, 20)37}38ImageIO.write(image, 'jpg', new File('target/opencv2.jpg'))39import com.intuit.karate.robot.OpenCvUtils40import java.awt.image.BufferedImage41import java.io.File42import javax.imageio.ImageIO43import java.awt.Color44import java.awt.Graphics2D45import java.awt.BasicStroke46import java.awt.Font47def image = ImageIO.read(new File('

getPointsBelowThreshold

Using AI Code Generation

1import com.intuit.karate.robot.OpenCvUtils2import org.opencv.core.Mat3import org.opencv.core.Point4def pointsBelowThreshold = OpenCvUtils.getPointsBelowThreshold(image, threshold)5def message = "There are " + pointsBelowThreshold.size() + " points below threshold " + threshold6log(message)7def pointsBelowThresholdAsString = pointsBelowThreshold.collect { Point point -> point.toString() }.join("\r8log(pointsBelowThresholdAsString)9* def pointsBelowThresholdAsString = pointsBelowThreshold.collect { Point point -> point.toString() }.join("\r10* log(pointsBelowThresholdAsString)11* def message = "There are " + pointsBelowThreshold.size() + " points below threshold " + threshold12* log(message)13* def pointsBelowThreshold = OpenCvUtils.getPointsBelowThreshold(image, threshold)14* def message = "There are " + pointsBelowThreshold.size() + " points below threshold " + threshold15* log(message)16* def pointsBelowThresholdAsString = pointsBelowThreshold.collect { Point point -> point.toString() }.join("\r17* log(pointsBelowThresholdAsString)18* def pointsBelowThreshold = OpenCvUtils.getPointsBelowThreshold(image, threshold)19* def message = "There are " + pointsBelowThreshold.size() + " points below threshold " + threshold20* log(message)21* def pointsBelowThresholdAsString = pointsBelowThreshold.collect { Point point -> point.toString() }.join("\r22* log(pointsBelowThresholdAsString)

getPointsBelowThreshold

Using AI Code Generation

1def points = OpenCvUtils.getPointsBelowThreshold(image, threshold, maxPoints)2def points = OpenCvUtils.removePointsWithinRadius(image, points, radius)3def circleCenter = OpenCvUtils.findCircleCenter(image, threshold, minRadius, maxRadius)4def rectangleCenter = OpenCvUtils.findRectangleCenter(image, threshold, minArea, maxArea)5def triangleCenter = OpenCvUtils.findTriangleCenter(image, threshold, minArea, maxArea)6def squareCenter = OpenCvUtils.findSquareCenter(image, threshold, minArea, maxArea)7def pentagonCenter = OpenCvUtils.findPentagonCenter(image, threshold, minArea, maxArea)8def hexagonCenter = OpenCvUtils.findHexagonCenter(image, threshold, minArea, maxArea)9def starCenter = OpenCvUtils.findStarCenter(image, threshold, minArea, maxArea)

getPointsBelowThreshold

Using AI Code Generation

1* def image = read('classpath:opencv/gradient.png')2* def gray = com.intuit.karate.robot.OpenCvUtils.toGray(image)3* def points = com.intuit.karate.robot.OpenCvUtils.getPointsBelowThreshold(gray, threshold)4* def image = read('classpath:opencv/gradient.png')5* def gray = com.intuit.karate.robot.OpenCvUtils.toGray(image)6* def points = com.intuit.karate.robot.OpenCvUtils.getPointsBelowThreshold(gray, threshold)7* fileChooser.sendKeys('C:\\Users\\abc\\Desktop\\test.xlsx')8* fileChooser.click()9* driver.switchTo().activeElement().sendKeys('C:\\Users\\abc\\Desktop\\test.xlsx')

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.