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

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

Source:RobotBase.java

...507    }508    public List<Element> locateAllText(Element searchRoot, String path) {509        StringUtils.Pair pair = parseOcr(path);510        String lang = pair.left;511        boolean negative = lang.charAt(0) == '-';512        if (negative) {513            lang = lang.substring(1);514        }515        String text = pair.right;516        return Tesseract.findAll(this, lang, searchRoot.getRegion(), text, negative);517    }518    public Element locateText(Element searchRoot, String path) {519        StringUtils.Pair pair = parseOcr(path);520        String lang = pair.left;521        boolean negative = lang.charAt(0) == '-';522        if (negative) {523            lang = lang.substring(1);524        }525        String text = pair.right;526        return Tesseract.find(this, lang, searchRoot.getRegion(), text, negative);527    }528    private static class PathAndStrict {529        final int strictness;530        final String path;531        public PathAndStrict(String path) {532            int pos = path.indexOf(':');533            if (pos > 0 && pos < 3) {534                strictness = Integer.valueOf(path.substring(0, pos));535                this.path = path.substring(pos + 1);536            } else {537                strictness = 10;538                this.path = path;539            }540        }...

negative

Using AI Code Generation

1* def image = read('classpath:com/intuit/karate/robot/opencv/lena.jpg')2* match image == { negative: true }3* match image == { negative: false }4* match image == { negative: 'true' }5* match image == { negative: 'false' }6* def image = read('classpath:com/intuit/karate/robot/opencv/lena.jpg')7* match image == { negative: true }8* match image == { negative: false }9* match image == { negative: 'true' }10* match image == { negative: 'false' }11* def image = read('classpath:com/intuit/karate/robot/opencv/lena.jpg')12* match image == { negative: true }13* match image == { negative: false }14* match image == { negative: 'true' }15* match image == { negative: 'false' }16* def image = read('classpath:com/intuit/karate/robot/opencv/lena.jpg')17* match image == { negative: true }18* match image == { negative: false }19* match image == { negative: 'true' }20* match image == { negative: 'false' }21* def image = read('classpath:com/intuit/karate/robot/opencv/lena.jpg')22* match image == { negative: true }23* match image == { negative: false }24* match image == { negative: 'true' }25* match image == { negative: 'false' }

negative

Using AI Code Generation

1* def image = read('classpath:opencv/lena.jpg', 'base64')2* def imageBytes = bytes(image)3* def negative = OpenCvUtils.negative(imageBytes)4* def negative = OpenCvUtils.negative(imageBytes)5* def negative = OpenCvUtils.negative(imageBytes)6* def negative = OpenCvUtils.negative(imageBytes)

negative

Using AI Code Generation

1* def image = read('classpath:find-red-object.png')2* def negative = com.intuit.karate.robot.OpenCvUtils.negative(image, 0, 10, 160, 180)3* def contours = com.intuit.karate.robot.OpenCvUtils.findContours(negative)4* def largestContour = com.intuit.karate.robot.OpenCvUtils.findLargestContour(contours)5* def boundingRect = com.intuit.karate.robot.OpenCvUtils.boundingRect(largestContour)6* def result = com.intuit.karate.robot.OpenCvUtils.drawRectangle(image, boundingRect, [0, 0, 255])7* match result == read('classpath:find-red-object-result.png')

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