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

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

Source:OpenCvUtils.java

...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()) {192            return found;193        }194        int stepUp = collect(strictness, found, findAll, robot, source, target, 1.1);195        if (!found.isEmpty()) {196            return found;197        }198        int stepDown = collect(strictness, found, findAll, robot, source, target, 0.9);199        if (!found.isEmpty()) {200            return found;201        }202        boolean goUpFirst = stepUp < stepDown;203        for (int step = 2; step < 6; step++) {204            double scale = 1 + 0.1 * step * (goUpFirst ? 1 : -1);205            collect(strictness, found, findAll, robot, source, target, scale);206        }207        if (!findAll && !found.isEmpty()) {208            return found;209        }210        for (int step = 2; step < 6; step++) {211            double scale = 1 + 0.1 * step * (goUpFirst ? -1 : 1);212            collect(strictness, found, findAll, robot, source, target, scale);213        }        214        return found;215    }216    public static Mat loadAndShowOrExit(File file, int flags) {217        Mat image = read(file, flags);218        show(image, file.getName());219        return image;220    }221    public static BufferedImage readImageAsGreyScale(File file) {222        Mat mat = read(file, IMREAD_GRAYSCALE);223        return toBufferedImage(mat);224    }225    public static byte[] toBytes(BufferedImage img) {226        ByteArrayOutputStream baos = new ByteArrayOutputStream();...

collect

Using AI Code Generation

1import com.intuit.karate.robot.OpenCvUtils2import org.opencv.core.Core3import org.opencv.core.Mat4import org.opencv.core.MatOfPoint5import org.opencv.core.Point6import org.opencv.core.Rect7import org.opencv.core.Scalar8import org.opencv.imgcodecs.Imgcodecs9import org.opencv.imgproc.Imgproc10def mat = OpenCvUtils.loadImage(image)11def gray = new Mat()12Imgproc.cvtColor(mat, gray, Imgproc.COLOR_BGR2GRAY)13def thresh = new Mat()14Imgproc.threshold(gray, thresh, 0, 255, Imgproc.THRESH_BINARY_INV + Imgproc.THRESH_OTSU)15def contours = new MatOfPoint()16Imgproc.findContours(thresh, contours, new Mat(), Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE)17def result = OpenCvUtils.collect(contours) { contour ->18    def rect = Imgproc.boundingRect(contour)19    def area = Imgproc.contourArea(contour)20    def perimeter = Imgproc.arcLength(new MatOfPoint2f(contour), true)21    def image = OpenCvUtils.drawContour(mat, contour)22}23Imgcodecs.imwrite(output, image)24* def mat = OpenCvUtils.loadImage(image)25* def gray = new Mat()26* Imgproc.cvtColor(mat, gray, Imgproc.COLOR_BGR2GRAY)27* def thresh = new Mat()28* Imgproc.threshold(gray, thresh, 0, 255, Imgproc.THRESH_BINARY_INV + Imgproc.THRESH_OTSU)29* def contours = new MatOfPoint()30* Imgproc.findContours(thresh, contours,

collect

Using AI Code Generation

1def collect = OpenCvUtils.collect('/path/to/image1.png', '/path/to/image2.png')2def match = OpenCvUtils.match('/path/to/image1.png', '/path/to/image2.png')3def find = OpenCvUtils.find('/path/to/image1.png', '/path/to/image2.png')4def find = OpenCvUtils.find('/path/to/image1.png', '/path/to/image2.png', 0.8)5def find = OpenCvUtils.find('/path/to/image1.png', '/path/to/image2.png', 0.8, 0.5)6def find = OpenCvUtils.find('/path/to/image1.png', '/path/to/image2.png', 0.8, 0.5, 0.5)7def find = OpenCvUtils.find('/path/to/image1.png', '/path/to/image2.png', 0.8, 0.5, 0.5, 0.5)8def find = OpenCvUtils.find('/path/to/image1.png', '/path/to/image2.png', 0.8, 0.5, 0.5, 0.5, 0.5)9def find = OpenCvUtils.find('/path/to/image1.png', '/path/to/image2.png', 0.8, 0.5, 0.5, 0.5, 0.5, 0.5)10def find = OpenCvUtils.find('/path/to/image1.png',

collect

Using AI Code Generation

1* def opencv = read('classpath:com/intuit/karate/robot/OpenCvUtils.java')2* def collect = opencv['collect(java.lang.String,java.lang.String)']3* def images = collect(path, 'png')4* def opencv = read('classpath:com/intuit/karate/robot/OpenCvUtils.java')5* def collect = opencv['collect(java.lang.String,java.lang.String)']6* def images = collect(path, 'png')7* def opencv = read('classpath:com/intuit/karate/robot/OpenCvUtils.java')8* def collect = opencv['collect(java.lang.String,java.lang.String)']9* def images = collect(path, 'png')

collect

Using AI Code Generation

1import com.intuit.karate.robot.OpenCvUtils2import org.opencv.core.Mat3import org.opencv.core.MatOfPoint4* def image = OpenCvUtils.read('classpath:opencv/contours.png')5* def allContours = OpenCvUtils.collect(image, OpenCvUtils.FIND_CONTOURS_SIMPLE)6* match allContours.size() == 187* def filteredContours = allContours.findAll { OpenCvUtils.area(it) > 1000 }8* match filteredContours.size() == 49* def contours = OpenCvUtils.collect(image, OpenCvUtils.FIND_CONTOURS_SIMPLE, { OpenCvUtils.area(it) > 1000 })10* match contours.size() == 411* def contours = OpenCvUtils.collect(image, OpenCvUtils.FIND_CONTOURS_SIMPLE, { OpenCvUtils.area(it) > 1000 }, { OpenCvUtils.boundingRect(it) })12* match contours.size() == 413* def contours = OpenCvUtils.collect(image, OpenCvUtils.FIND_CONTOURS_SIMPLE, { OpenCvUtils.area(it) > 1000 }, { OpenCvUtils.boundingRect(it) }, { it[0].x })14* match contours.size() == 415* def contours = OpenCvUtils.collect(image, OpenCvUtils.FIND_CONTOURS_SIMPLE, { OpenCvUtils.area(it) > 1000 }, { OpenCvUtils.boundingRect(it) }, { it[0].x }, { it.sort() })16* match contours.size() == 417import com.intuit.karate.robot.OpenCvUtils18import org.opencv.core.Mat19import org.opencv.core.MatOfPoint20* def image = OpenCvUtils.read('classpath:opencv/contours.png')

collect

Using AI Code Generation

1def template = collect('template.png')2def match = collect('match.png')3def result = template.match(match, 0.6)4def match = com.intuit.karate.robot.OpenCvUtils.match('template.png', 'match.png', 0.6)5def match = com.intuit.karate.robot.OpenCvUtils.match('template.png', 'match.png', 0.6)6def match = com.intuit.karate.robot.OpenCvUtils.match('template.png', 'match.png', 0.6)7def match = com.intuit.karate.robot.OpenCvUtils.match('template.png', 'match.png', 0.6)8def match = com.intuit.karate.robot.OpenCvUtils.match('template.png', 'match.png', 0.6)9def match = com.intuit.karate.robot.OpenCvUtils.match('template.png', 'match.png', 0.6)10def match = com.intuit.karate.robot.OpenCvUtils.match('template.png', 'match.png', 0.6)11def match = com.intuit.karate.robot.OpenCvUtils.match('template.png', 'match.png', 0.6)

collect

Using AI Code Generation

1* def robot = read('classpath:robot/robot.feature')2* def image = read('classpath:robot/robot.png')3* def gray = robot.toGray(image)4* def hsv = robot.toHsv(image)5* def red = robot.toRed(hsv)6* def contours = robot.findContours(red)7* def largest = robot.largestContour(contours)8* def result = robot.drawRectangle(image, largest)9* def expected = read('classpath:robot/robot-largest.png')10* def robot = read('classpath:robot/robot.feature')11* def image = read('classpath:robot/robot.png')12* def gray = robot.toGray(image)13* def hsv = robot.toHsv(image)14* def red = robot.toRed(hsv)15* def contours = robot.findContours(red)16* def smallest = robot.smallestContour(contours)17* def result = robot.drawRectangle(image, smallest)18* def expected = read('classpath:robot/robot-smallest.png')19* def robot = read('classpath:robot/robot.feature')20* def image = read('classpath:robot/robot.png')

collect

Using AI Code Generation

1* def images = OpenCvUtils.collect()2* match images.size() == 13* match images[0].name.startsWith('data/2020-06-20T15:09:07')4* match images[0].name.endsWith('.png')5* def images = OpenCvUtils.collect('data', 'png')6* match images.size() == 17* match images[0].name.startsWith('data/2020-06-20T15:09:07')8* match images[0].name.endsWith('.png')9* def images = OpenCvUtils.collect('data', 'png', 1)10* match images.size() == 111* match images[0].name.startsWith('data/2020-06-20T15:09:07')12* match images[0].name.endsWith('.png')13* def images = OpenCvUtils.collect('data', 'png', 1, 1000)14* match images.size() == 115* match images[0].name.startsWith('data/2020-06-20T15:09:07')16* match images[0].name.endsWith('.png')

collect

Using AI Code Generation

1def image = com.intuit.karate.robot.OpenCvUtils.toBufferedImage(3, 3, 3, [1,2,3,4,5,6,7,8,9])2def matrix = com.intuit.karate.robot.OpenCvUtils.toMat(image)3def bytes = com.intuit.karate.robot.OpenCvUtils.toBytes(matrix)4def base64 = com.intuit.karate.robot.OpenCvUtils.toBase64(bytes)5def toBase64(bytes) {6    Base64.getEncoder().encodeToString(bytes)7}8def toBytes(base64) {9    Base64.getDecoder().decode(base64)10}11def toMat(image) {12    MatOfByte mob = new MatOfByte()13    Highgui.imencode(".jpg", image, mob)14    Mat mat = new Mat(1, mob.toArray().length, CvType.CV_8UC1)15    mat.put(0, 0, mob.toArray())16}17def toBufferedImage(mat) {18    MatOfByte mob = new MatOfByte()19    Highgui.imencode(".jpg", mat, mob)20    InputStream in = new ByteArrayInputStream(mob.toArray())21    BufferedImage image = ImageIO.read(in)22}23def toBufferedImage(width, height, channels, values) {24    if (total != values.size()) {25        throw new RuntimeException('invalid values size: ' + values.size())

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