autojs滑块验证

几分从前

       如图，手机上需要过这种滑块验证，网上找了下面这个代码，因为手机分辨率不一样无法能生效，
使用手机分辨率为3120*1440，求大佬帮忙指点下。

[Java] 纯文本查看 复制代码

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var y = 1058//设置滑动按钮高度 //y=className("android.widget.Image").text("tag-bar").findOne().bounds().centerY() /**   *  *适用版本：所有安卓版本  *适用分辨率：1080p720p 及其他所有分辨率！  *    *  *防检测功能：模拟真人滑动  *通过四阶贝塞尔曲线，生成完全模仿真的滑动方式  *  */        //显示控制台 console.show() console.setPosition(100, 1300)   //请求权限 if (!requestScreenCapture()) {     alert("请求截图权限失败！");     exit(); } //启动 start()   /**  * 识别滑块位置  *  * 传入值img，ratio  * img为要识别的图片  * ratio为识别图片的分辨率（暂时只可选择720或1080）  *  * 返回值x  * 识别出方块位置的左端横坐标  */ function discernSlidingblock(img, ratio) {     //创建识别变量     var temp, temp2, x, y, num, color, p, temp3, arr1;     //分析设备分辨率     if (ratio == 720) {         var tb = [348, 253, 691, 638, 81]         log("您的设备分辨率为：720p");     } else if (ratio == 1080) {         var tb = [463, 387, 912, 831, 125]         log("您的设备分辨率为：1080p");     } else {         log("当前设备分辨率不符合规范")         return -2     }     num = Math.ceil(tb[4] / 3.3 - 4);           //计算滑块位置     for (var k = 29; k <= 40; k++) {         temp2 = "";         color = "#" + k + "" + k + "" + k + "";         for (var i = 1; i <= num; i++) {             temp2 = temp2 + "0|" + i + "|" + color + ",";             temp2 = temp2 + i + "|0|" + color + ",";             temp2 = temp2 + "1|" + i + "|" + color + ",";             temp2 = temp2 + i + "|1|" + color + ",";             temp2 = temp2 + "2|" + i + "|" + color + ",";             temp2 = temp2 + i + "|2|" + color + ",";         }         x = 0;         while (x > -2) {             y = 0;             while (y > -2) {                 temp = "";                 for (var i = 1; i <= num; i += 2) {                     temp = temp + "0|" + (tb[4] + y - i - 1) + "|" + color + ",";                     temp = temp + (tb[4] + x) + "|" + i + "|" + color + ",";                     temp = temp + (tb[4] + x) + "|" + (tb[4] + y - i - 1) + "|" + color + ",";                     temp = temp + (tb[4] + x - i - 1) + "|0|" + color + ",";                     temp = temp + i + "|" + (tb[4] + y) + "|" + color + ",";                     temp = temp + (tb[4] + x - i - 1) + "|" + (tb[4] + y) + "|" + color + ",";                     temp = temp + "1|" + (tb[4] + y - i - 1) + "|" + color + ",";                     temp = temp + (tb[4] + x - 1) + "|" + i + "|" + color + ",";                     temp = temp + (tb[4] + x - 1) + "|" + (tb[4] + y - i - 1) + "|" + color + ",";                     temp = temp + (tb[4] + x - i - 1) + "|1|" + color + ",";                     temp = temp + i + "|" + (tb[4] + y - 1) + "|" + color + ",";                     temp = temp + (tb[4] + x - i - 1) + "|" + (tb[4] + y - 1) + "|" + color + ",";                 }                 temp = temp + temp2 + "0|0|" + color;                 arr1 = temp.split(",");                 var arr2 = new Array();                 for (var i = 0; i < arr1.length - 1; i++) {                     arr2[i] = new Array();                     temp3 = arr1[i].split("|");                     arr2[i] = [Number(temp3[0]), Number(temp3[1]), temp3[2]];                 }                 try {                     p = images.findMultiColors(img, color, arr2, {                         region: [tb[0], tb[1], tb[2] - tb[0], tb[3] - tb[1]],                         threshold: (Math.floor(k / 10) * 16 + k % 10)                     });                     if (p) {                         img.recycle();                         return p.x+65                     }                 } catch (error) {                     //出错                     console.log("识别失败，错误原因：" + error);                     return -1;                 }                 y = --y;             }             x = --x;         }     }     try {         img.recycle();     } catch (error) {         console.log("识别失败，错误原因：" + error);     }     return -1; }   function start() {     auto.waitFor()     for(var i=0;i<0;i++){sleep(1000);log(i);}     while (true) {         img = images.captureScreen();         if (img) {             log("截图成功。进行识别滑块！");             break;         } else {             log('截图失败,重新截图');         }     }     var x = discernSlidingblock(imgBy1080,1080)     console.info("识别结果滑块X坐标：" + x);       if (x > -1) {         randomSwipe(220, y, x, y)         //滑动完成     } else {         console.log("识别有误，请确认是否在滑块界面");     } }   function bezierCreate(x1,y1,x2,y2,x3,y3,x4,y4){     //构建参数     var h=100;     var cp=[{x:x1,y:y1+h},{x:x2,y:y2+h},{x:x3,y:y3+h},{x:x4,y:y4+h}];     var numberOfPoints = 100;     var curve = [];     var dt = 1.0 / (numberOfPoints - 1);           //计算轨迹     for (var i = 0; i < numberOfPoints; i++){         var ax, bx, cx;         var ay, by, cy;         var tSquared, tCubed;         var result_x, result_y;               cx = 3.0 * (cp[1].x - cp[0].x);         bx = 3.0 * (cp[2].x - cp[1].x) - cx;         ax = cp[3].x - cp[0].x - cx - bx;         cy = 3.0 * (cp[1].y - cp[0].y);         by = 3.0 * (cp[2].y - cp[1].y) - cy;         ay = cp[3].y - cp[0].y - cy - by;               var t=dt*i         tSquared = t * t;         tCubed = tSquared * t;         result_x = (ax * tCubed) + (bx * tSquared) + (cx * t) + cp[0].x;         result_y = (ay * tCubed) + (by * tSquared) + (cy * t) + cp[0].y;         curve[i] = {             x: result_x,             y: result_y         };     }       //轨迹转路数组     var array=[];     for (var i = 0;i<curve.length; i++) {         try {             var j = (i < 100) ? i : (199 - i);             xx = parseInt(curve[j].x)             yy = parseInt(Math.abs(100 - curve[j].y))         } catch (e) {             break         }         array.push([xx, yy])     }           return array }   /**  * 真人模拟滑动函数  *  * 传入值：起点终点坐标  * 效果：模拟真人滑动  */ function randomSwipe(sx,sy,ex,ey){     //设置随机滑动时长范围     var timeMin=500     var timeMax=1500     //设置控制点极限距离     var leaveHeightLength=500           //根据偏差距离，应用不同的随机方式     if(Math.abs(ex-sx)>Math.abs(ey-sy)){         var my=(sy+ey)/2         var y2=my+random(0,leaveHeightLength)         var y3=my-random(0,leaveHeightLength)               var lx=(sx-ex)/3         if(lx<0){lx=-lx}         var x2=sx+lx/2+random(0,lx)         var x3=sx+lx+lx/2+random(0,lx)     }else{         var mx=(sx+ex)/2         var y2=mx+random(0,leaveHeightLength)         var y3=mx-random(0,leaveHeightLength)           var ly=(sy-ey)/3         if(ly<0){ly=-ly}         var y2=sy+ly/2+random(0,ly)         var y3=sy+ly+ly/2+random(0,ly)     }       //获取运行轨迹，及参数     var time=[0,random(timeMin,timeMax)]     var track=bezierCreate(sx,sy,x2,y2,x3,y3,ex,ey)           log("随机控制点A坐标："+x2+","+y2)     log("随机控制点B坐标："+x3+","+y3)     log("随机滑动时长："+time[1])           //滑动     gestures(time.concat(track))     console.hide() }   function imgBy1080(){     var img=captureScreen()     return images.resize(img,[1080,device.height*1080/device.width]) }

bb8820

，严格限制了一下找色规则，这次应该没问题了

[JavaScript] 纯文本查看 复制代码

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var y = 1839;//设置滑动按钮高度 var start_x = 170; //y=className("android.widget.Image").text("tag-bar").findOne().bounds().centerY() /**     *  *适用版本：所有安卓版本  *适用分辨率：1080p720p 及其他所有分辨率！  *      *  *防检测功能：模拟真人滑动  *通过四阶贝塞尔曲线，生成完全模仿真的滑动方式  *  */            //显示控制台 console.show() console.setPosition(100, 1900)     //请求权限 if (!requestScreenCapture()) {     alert("请求截图权限失败！");     exit(); } //启动 start()     /**  * 识别滑块位置  *  * 传入值img，ratio  * img为要识别的图片  * ratio为识别图片的分辨率（暂时只可选择720或1080）  *  * 返回值x  * 识别出方块位置的左端横坐标  */ function discernSlidingblock(img, ratio) {     //创建识别变量     var temp, temp2, x, y, num, color, p, temp3, arr1;     //分析设备分辨率     if (ratio == 720) {         var tb = [348, 253, 691, 638, 81]         log("您的设备分辨率为：720p");     } else if (ratio == 1080) {         var tb = [463, 387, 912, 831, 125]         log("您的设备分辨率为：1080p");     } else if (ratio == 1440) {         // var tb = [106, 820, 1316, 1434, 125]         var tb = [106, 1189, 1151, 1710, 118]         log("您的设备分辨率为：1440p");     } else {         log("当前设备分辨率不符合规范");         return -2     }     num = 118 * 4 - 4;             //计算滑块位置     for (var k = 80; k <= 80; k++) {         temp2 = "";         color = "#" + k + "" + k + "" + k + "";         rows = tb[4];         arr2 = new Array();         for (var j = 0; j < rows; j++)         {             arr2[0 * rows + j] = new Array();             arr2[0 * rows + j] = [j + 1, 0 , color];         }         for (var j = 0; j < rows; j++)         {             arr2[1 * rows + j] = new Array();             arr2[1 * rows + j] = [rows, j + 1, color];         }         for (var j = 0; j < rows; j++)         {             arr2[2 * rows + j] = new Array();             arr2[2 * rows + j] = [j, rows, color];         }         for (var j = 0; j < rows; j++)         {             arr2[3 * rows + j] = new Array();             arr2[3 * rows + j] = [0, j, color];         }         // log(arr2);         try {             p = images.findMultiColors(img, color, arr2, {                 region: [tb[0], tb[1], tb[2] - tb[0], tb[3] - tb[1]],                 threshold: 5             });             // log(arr2.length);             if (p) {                 img.recycle();                 log(p);                 return p.x + parseInt(tb[4] / 2);             }         } catch (error) {             //出错             console.log("识别失败，错误原因：" + error);             return -1;         }     }     try {         img.recycle();     } catch (error) {         console.log("识别失败，错误原因：" + error);     }     return -1; }     function start() {     auto.waitFor()     for(var i=0;i<0;i++){sleep(1000);log(i);}     while (true) {         img = images.captureScreen();         if (img) {             log("截图成功。进行识别滑块！");             break;         } else {             log('截图失败,重新截图');         }     }     // var x = discernSlidingblock(imgURL(),1440);     var x = discernSlidingblock(imgBy1440(),1440);     console.info("识别结果滑块X坐标：" + x);         if (x > -1) {         randomSwipe(start_x, y, x, y)         //滑动完成     } else {         console.log("识别有误，请确认是否在滑块界面");     } }     function bezierCreate(x1,y1,x2,y2,x3,y3,x4,y4){     //构建参数     var h=100;     var cp=[{x:x1,y:y1+h},{x:x2,y:y2+h},{x:x3,y:y3+h},{x:x4,y:y4+h}];     var numberOfPoints = 100;     var curve = [];     var dt = 1.0 / (numberOfPoints - 1);             //计算轨迹     for (var i = 0; i < numberOfPoints; i++){         var ax, bx, cx;         var ay, by, cy;         var tSquared, tCubed;         var result_x, result_y;                 cx = 3.0 * (cp[1].x - cp[0].x);         bx = 3.0 * (cp[2].x - cp[1].x) - cx;         ax = cp[3].x - cp[0].x - cx - bx;         cy = 3.0 * (cp[1].y - cp[0].y);         by = 3.0 * (cp[2].y - cp[1].y) - cy;         ay = cp[3].y - cp[0].y - cy - by;                 var t=dt*i         tSquared = t * t;         tCubed = tSquared * t;         result_x = (ax * tCubed) + (bx * tSquared) + (cx * t) + cp[0].x;         result_y = (ay * tCubed) + (by * tSquared) + (cy * t) + cp[0].y;         curve[i] = {             x: result_x,             y: result_y         };     }         //轨迹转路数组     var array=[];     for (var i = 0;i<curve.length; i++) {         try {             var j = (i < 100) ? i : (199 - i);             xx = parseInt(curve[j].x)             yy = parseInt(Math.abs(100 - curve[j].y))         } catch (e) {             break         }         array.push([xx, yy])     }             return array }     /**  * 真人模拟滑动函数  *  * 传入值：起点终点坐标  * 效果：模拟真人滑动  */ function randomSwipe(sx,sy,ex,ey){     //设置随机滑动时长范围     var timeMin=500     var timeMax=1500     //设置控制点极限距离     var leaveHeightLength=50     log([sx, sy, ex, ey]);     //根据偏差距离，应用不同的随机方式     if(Math.abs(ex-sx)>Math.abs(ey-sy)){         var my=(sy+ey)/2         var y2=my+random(0,leaveHeightLength)         var y3=my-random(0,leaveHeightLength)                 var lx=(sx-ex)/3         if(lx<0){lx=-lx}         var x2=sx+lx/2+random(0,lx)         var x3=sx+lx+lx/2+random(0,lx)     }else{         var mx=(sx+ex)/2         var y2=mx+random(0,leaveHeightLength)         var y3=mx-random(0,leaveHeightLength)             var ly=(sy-ey)/3         if(ly<0){ly=-ly}         var y2=sy+ly/2+random(0,ly)         var y3=sy+ly+ly/2+random(0,ly)     }         //获取运行轨迹，及参数     var time=[0,random(timeMin,timeMax)]     var track=bezierCreate(sx,sy,x2,y2,x3,y3,ex,ey)             log("随机控制点A坐标："+x2+","+y2)     log("随机控制点B坐标："+x3+","+y3)     log("随机滑动时长："+time[1])             //滑动     gestures(time.concat(track))     // console.hide() }     function imgBy1080(){     var img=captureScreen()     return images.resize(img,[1080,device.height*1080/device.width]) }    function imgBy1440(){     var img=captureScreen();     while(true)     {         if (img)         {             break;         }         else         {             img=captureScreen();         }     }     return img;     // return images.resize(img,[1440,device.height*1440/device.width]) }   function imgURL(){     var img = images.load("https://s1.ax1x.com/2020/09/08/wQiLp6.jpg");     while(true)     {         if (img)         {             break;         }         else         {             img=images.load("https://s1.ax1x.com/2020/09/08/wQiLp6.jpg");         }     }     log("tupianxiazaichenggong");     return img; }

iepngs

AutoJs现在在哪里可以下载到最新版本？

jlkk1

整理了一个滑块验证，jquery插件，包含pc和移动端效果
点击链接获取文件：https://cowtransfer.com/s/83ebc430216344 或进入 cowtransfer.com 获取，在首页输入取件码：d4uf9p（24小时内有效）

几分从前

jlkk1 发表于 2020-8-28 15:18
整理了一个滑块验证，jquery插件，包含pc和移动端效果
点击链接获取文件：https://cowtransfer.com/s/83eb ...

脚本有乱码

几分从前

iepngs 发表于 2020-8-28 14:19
AutoJs现在在哪里可以下载到最新版本？

我用的免费版本4.1.1

几分从前

吾爱破解001 发表于 2020-8-28 12:28
代码貌似只有720 和1080 的逻辑处理

    if (ratio == 720) {

不只是这个代码

几分从前

沉了吗？？？？

几分从前

日常顶帖~~~~~~~~