Verwenden Sie eine Kombination aus Java, Selenium und OpenCV, um das Problem der Slider-Verifizierung beim automatisierten Testen zu lösen.

public class slideUtil {
 
    public static String dllPath = "D:\\AutoTest\\src\\main\\resources\\lib\\opencv\\opencv_java450.dll";
 
    public static void main(String[] args) {
 
        //getDistance();//调试用的main方法，调用一个getDistance方法，获取拼图和凹槽之间的距离，返回double类型数值。
    }

 public static double getDistance(){
 
        // 加载OpenCV本地库
        System.load(dllPath);
        //System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
//对拼图图形进行处理，存储为Mat类型①
        Mat slideBlockMat=Imgcodecs.imread("slide_blk.png");//由于本项目的特点，拼图的形状和位置是固定的，因此直接将拼图图片保存到本地进行使用了
//Step1、灰度化图片②
        Imgproc.cvtColor(slideBlockMat,slideBlockMat,Imgproc.COLOR_BGR2GRAY);
        imwrite("cvt_blk.png",slideBlockMat);
//Step2、去除周围黑边
        for (int row = 0; row < slideBlockMat.height(); row++) {
            for (int col = 0; col < slideBlockMat.width(); col++) {
                if (slideBlockMat.get(row, col)[0] == 0) {
                    slideBlockMat.put(row, col, 96);
                }
            }
        }
        imwrite("nsr_blk.png",slideBlockMat);
//Step3、转黑白图
        Core.inRange(slideBlockMat, Scalar.all(96), Scalar.all(96), slideBlockMat);
        imwrite("ezh_blk.png",slideBlockMat);<br>
//对滑动背景图进行处理③
        Mat slideBgMat = Imgcodecs.imread("slide_bg.png");//背景凹槽图片需要动态获取，见下面的解析
//Step1、灰度化图片④
        Imgproc.cvtColor(slideBgMat,slideBgMat,Imgproc.COLOR_BGR2GRAY);
        imwrite("hdh_bg.png",slideBgMat);
//Step2、二值化
        //Core.inRange(slideBgMat, Scalar.all(96), Scalar.all(96), slideBgMat);
        Imgproc.threshold(slideBgMat,slideBgMat,127,255, Imgproc.THRESH_BINARY);
        imwrite("ezh_bg.png",slideBgMat);
        Mat g_result = new Mat();
        /*
         * 将凹槽背景和拼图图形进行匹配⑤
         */
        Imgproc.matchTemplate(slideBgMat,slideBlockMat,g_result, Imgproc.TM_CCOEFF_NORMED);
        Point matchLocation= Core.minMaxLoc(g_result).maxLoc;
//返回匹配点的横向距离
        System.out.println(matchLocation.x);
        return matchLocation.x;
    }

WebElement bg_canvas = driver.findElement(slide_ver_bg_by);//元素定位，定位到背景图片
 
        Object base64 = ((JavascriptExecutor) driver)
                .executeScript("return arguments[0].toDataURL('image/png').substring(21);", bg_canvas);//页面元素转Base64
        String base64Str = base64.toString();
        generateImage(base64Str , "slide_bg.png");// 将base64把字符串装换成图片

public void slide_verify(WebDriver driver) throws InterruptedException {
 
        double  slideDistance = getDistance();//此处就是调用2中的OpenCV计算拼图和凹槽距离
        System.out.println("滑动距离是" + slideDistance);
        WebElement dragElement = driver.findElement(slide_obj_by);//定位到滑块
        Actions actions = new Actions(driver);
        actions.clickAndHold(dragElement);//模拟鼠标动作，按住滑块
        Thread.sleep(300);
<br>//滑动，分两次进行①
        actions.moveByOffset(((int)slideDistance - 11)/2,0);
        Thread.sleep(1000);
        Thread.sleep(500);
        actions.release();
        actions.perform();
    }