C#实现按键精灵的'找图' '找色' '找字'的功能

矫情吗；* 2021-12-23 17:09 615阅读 0赞

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原文地址：

*[http://www.cnblogs.com/JimmyBright/p/4355862.html][http_www.cnblogs.com_JimmyBright_p_4355862.html]*

[**背景：**游戏辅助功能通常使用按键精灵编写脚本，按键精灵的最大卖点就是能够找到画面中字，图，色，这对于模拟用户鼠标操作至关重要，这能找到道具，找到血量，实现自动打怪，自动补血，自动买卖道具，博主闲来无聊，看到一款按键精灵实现的辅助，于是乎想用WPF也写一款辅助工具，实现其核心的找图找色等功能。博主测试，对于背景复杂多变的画面，找不变图的成功率达到100%，找带透明的图，比如文字，能达到90%以上。默认您已经知道一个颜色值由argb构成，每个值范围都是0~255。网上发现不少人询问过该问题，几乎没有比较全面的解答，今天本博主自己写了这些功能的代码，C\#同学们，以后可以用这几个函数实现你的游戏辅助了哦(⊙o⊙)][http_www.cnblogs.com_JimmyBright_p_4355862.html]

**找色：**

1         /// <summary>
     2         /// 找颜色
     3         /// </summary>
     4         /// <param name="parPic">查找的图片的绝对路径</param>
     5         /// <param name="searchColor">查找的16进制颜色值，如#0C5FAB</param>
     6         /// <param name="searchRect">查找的矩形区域范围内</param>
     7         /// <param name="errorRange">容错</param>
     8         /// <returns></returns>
     9         System.Drawing.Point FindColor(string parPic, string searchColor, System.Drawing.Rectangle searchRect, byte errorRange = 10)
    10         {
    11             var colorX = System.Drawing.ColorTranslator.FromHtml(searchColor);
    12             var parBitmap = new Bitmap(parPic);
    13             var parData = parBitmap.LockBits(new System.Drawing.Rectangle(0, 0, parBitmap.Width, parBitmap.Height), ImageLockMode.ReadOnly, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
    14             var byteArraryPar = new byte[parData.Stride * parData.Height];
    15             Marshal.Copy(parData.Scan0, byteArraryPar, 0, parData.Stride * parData.Height);
    16             if (searchRect.IsEmpty)
    17             {
    18                 searchRect = new System.Drawing.Rectangle(0, 0, parBitmap.Width, parBitmap.Height);
    19             }
    20             var searchLeftTop = searchRect.Location;
    21             var searchSize = searchRect.Size;
    22             var iMax = searchLeftTop.Y + searchSize.Height;//行
    23             var jMax = searchLeftTop.X + searchSize.Width;//列
    24             int pointX = -1; int pointY = -1;
    25             for (int m = searchRect.Y; m < iMax; m++)
    26             {
    27                 for (int n = searchRect.X; n < jMax; n++)
    28                 {
    29                     int index = m * parBitmap.Width * 4 + n * 4;
    30                     var color = System.Drawing.Color.FromArgb(byteArraryPar[index + 3], byteArraryPar[index + 2], byteArraryPar[index + 1], byteArraryPar[index]);
    31                     if (ColorAEqualColorB(color, colorX, errorRange))
    32                     {
    33                         pointX = n;
    34                         pointY = m;
    35                         goto END;
    36                     }
    37                 }
    38             }
    39         END:
    40             parBitmap.UnlockBits(parData);
    41             return new System.Drawing.Point(pointX, pointY);
    42         }
    43         #endregion

方法中的容错范围，默认设置为10。R、G、B三者的范围都是0~255，容错为10，就表示每个范围都可以在10上下波动，下面还会有容错的概念

**找图：**

在一张大图中截取一个矩形小图，然后在任意包含该小图的图片中找到该小图的坐标位置

1      #region 找图
      2 
      3         /// <summary>
      4         /// 查找图片，不能镂空
      5         /// </summary>
      6         /// <param name="subPic"></param>
      7         /// <param name="parPic"></param>
      8         /// <param name="searchRect">如果为empty，则默认查找整个图像</param>
      9         /// <param name="errorRange">容错，单个色值范围内视为正确0~255</param>
     10         /// <param name="matchRate">图片匹配度，默认90%</param>
     11         /// <param name="isFindAll">是否查找所有相似的图片</param>
     12         /// <returns>返回查找到的图片的中心点坐标</returns>
     13         List<System.Drawing.Point> FindPicture(string subPic, string parPic, System.Drawing.Rectangle searchRect, byte errorRange, double matchRate = 0.9, bool isFindAll = false)
     14         {
     15             List<System.Drawing.Point> ListPoint = new List<System.Drawing.Point>();
     16             var subBitmap = new Bitmap(subPic);
     17             var parBitmap = new Bitmap(parPic);
     18             int subWidth = subBitmap.Width;
     19             int subHeight = subBitmap.Height;
     20             int parWidth = parBitmap.Width;
     21             int parHeight = parBitmap.Height;
     22             if (searchRect.IsEmpty)
     23             {
     24                 searchRect = new System.Drawing.Rectangle(0, 0, parBitmap.Width, parBitmap.Height);
     25             }
     26 
     27             var searchLeftTop = searchRect.Location;
     28             var searchSize = searchRect.Size;
     29             System.Drawing.Color startPixelColor = subBitmap.GetPixel(0, 0);
     30             var subData = subBitmap.LockBits(new System.Drawing.Rectangle(0, 0, subBitmap.Width, subBitmap.Height), ImageLockMode.ReadOnly, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
     31             var parData = parBitmap.LockBits(new System.Drawing.Rectangle(0, 0, parBitmap.Width, parBitmap.Height), ImageLockMode.ReadOnly, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
     32             var byteArrarySub = new byte[subData.Stride * subData.Height];
     33             var byteArraryPar = new byte[parData.Stride * parData.Height];
     34             Marshal.Copy(subData.Scan0, byteArrarySub, 0, subData.Stride * subData.Height);
     35             Marshal.Copy(parData.Scan0, byteArraryPar, 0, parData.Stride * parData.Height);
     36 
     37             var iMax = searchLeftTop.Y + searchSize.Height - subData.Height;//行
     38             var jMax = searchLeftTop.X + searchSize.Width - subData.Width;//列
     39 
     40             int smallOffsetX = 0, smallOffsetY = 0;
     41             int smallStartX = 0, smallStartY = 0;
     42             int pointX = -1; int pointY = -1;
     43             for (int i = searchLeftTop.Y; i < iMax; i++)
     44             {
     45                 for (int j = searchLeftTop.X; j < jMax; j++)
     46                 {
     47                     //大图x，y坐标处的颜色值
     48                     int x = j, y = i;
     49                     int parIndex = i * parWidth * 4 + j * 4;
     50                     var colorBig = System.Drawing.Color.FromArgb(byteArraryPar[parIndex + 3], byteArraryPar[parIndex + 2], byteArraryPar[parIndex + 1], byteArraryPar[parIndex]);
     51                     ;
     52                     if (ColorAEqualColorB(colorBig, startPixelColor, errorRange))
     53                     {
     54                         smallStartX = x - smallOffsetX;//待找的图X坐标
     55                         smallStartY = y - smallOffsetY;//待找的图Y坐标
     56                         int sum = 0;//所有需要比对的有效点
     57                         int matchNum = 0;//成功匹配的点
     58                         for (int m = 0; m < subHeight; m++)
     59                         {
     60                             for (int n = 0; n < subWidth; n++)
     61                             {
     62                                 int x1 = n, y1 = m;
     63                                 int subIndex = m * subWidth * 4 + n * 4;
     64                                 var color = System.Drawing.Color.FromArgb(byteArrarySub[subIndex + 3], byteArrarySub[subIndex + 2], byteArrarySub[subIndex + 1], byteArrarySub[subIndex]);
     65 
     66                                 sum++;
     67                                 int x2 = smallStartX + x1, y2 = smallStartY + y1;
     68                                 int parReleativeIndex = y2 * parWidth * 4 + x2 * 4;//比对大图对应的像素点的颜色
     69                                 var colorPixel = System.Drawing.Color.FromArgb(byteArraryPar[parReleativeIndex + 3], byteArraryPar[parReleativeIndex + 2], byteArraryPar[parReleativeIndex + 1], byteArraryPar[parReleativeIndex]);
     70                                 if (ColorAEqualColorB(colorPixel, color, errorRange))
     71                                 {
     72                                     matchNum++;
     73                                 }
     74                             }
     75                         }
     76                         if ((double)matchNum / sum >= matchRate)
     77                         {
     78                             Console.WriteLine((double)matchNum / sum);
     79                             pointX = smallStartX + (int)(subWidth / 2.0);
     80                             pointY = smallStartY + (int)(subHeight / 2.0);
     81                             var point = new System.Drawing.Point(pointX, pointY);
     82                             if (!ListContainsPoint(ListPoint, point, 10))
     83                             {
     84                                 ListPoint.Add(point);
     85                             }
     86                             if (!isFindAll)
     87                             {
     88                                 goto FIND_END;
     89                             }
     90                         }
     91                     }
     92                     //小图x1,y1坐标处的颜色值
     93                 }
     94             }
     95         FIND_END:
     96             subBitmap.UnlockBits(subData);
     97             parBitmap.UnlockBits(parData);
     98             subBitmap.Dispose();
     99             parBitmap.Dispose();
    100             GC.Collect();
    101             return ListPoint;
    102         }
    103         #endregion

**找字：**

找字比较困难了呢，因为文字是一种镂空的图像，不像上述找的是非镂空图像，代码：

定义结构体：

1         struct NumBody
    2         {
    3             public int num;//数字
    4             public int matchNum;//匹配的个数
    5             public int matchSum;
    6             public double matchRate;//匹配度
    7             public System.Drawing.Point point;
    8             public List<System.Drawing.Point> bodyCollectionPoint;//该数字所有像素在大图中的坐标
    9         }

1    #region 找字
      2 
      3         /// <summary>
      4         /// 找文字，镂空的图片文字
      5         /// </summary>
      6         /// <param name="subPic"></param>
      7         /// <param name="parPic"></param>
      8         /// <param name="searchRect"></param>
      9         /// <param name="errorRange"></param>
     10         /// <param name="matchRate"></param>
     11         /// <param name="isFindAll"></param>
     12         /// <returns></returns>
     13         List<NumBody> FindText(string subPic, string parPic, System.Drawing.Rectangle searchRect, byte errorRange, double matchRate = 0.9, bool isFindAll = false)
     14         {
     15 
     16             List<NumBody> ListPoint = new List<NumBody>();
     17             var subBitmap = new Bitmap(subPic);
     18             var parBitmap = new Bitmap(parPic);
     19             int subWidth = subBitmap.Width;
     20             int subHeight = subBitmap.Height;
     21             int parWidth = parBitmap.Width;
     22             int parHeight = parBitmap.Height;
     23             var bgColor = subBitmap.GetPixel(0, 0);//背景红色
     24             if (searchRect.IsEmpty)
     25             {
     26                 searchRect = new System.Drawing.Rectangle(0, 0, parBitmap.Width, parBitmap.Height);
     27             }
     28             var searchLeftTop = searchRect.Location;
     29             var searchSize = searchRect.Size;
     30             var subData = subBitmap.LockBits(new System.Drawing.Rectangle(0, 0, subBitmap.Width, subBitmap.Height), ImageLockMode.ReadOnly, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
     31             var parData = parBitmap.LockBits(new System.Drawing.Rectangle(0, 0, parBitmap.Width, parBitmap.Height), ImageLockMode.ReadOnly, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
     32             var byteArrarySub = new byte[subData.Stride * subData.Height];
     33             var byteArraryPar = new byte[parData.Stride * parData.Height];
     34             Marshal.Copy(subData.Scan0, byteArrarySub, 0, subData.Stride * subData.Height);
     35             Marshal.Copy(parData.Scan0, byteArraryPar, 0, parData.Stride * parData.Height);
     36             var iMax = searchLeftTop.Y + searchSize.Height - subData.Height;//行
     37             var jMax = searchLeftTop.X + searchSize.Width - subData.Width;//列
     38             System.Drawing.Color startPixelColor = System.Drawing.Color.FromArgb(0, 0, 0);
     39             int smallOffsetX = 0, smallOffsetY = 0;
     40             int smallStartX = 0, smallStartY = 0;
     41             int pointX = -1; int pointY = -1;
     42 
     43 
     44             for (int m = 0; m < subHeight; m++)
     45             {
     46                 for (int n = 0; n < subWidth; n++)
     47                 {
     48                     smallOffsetX = n;
     49                     smallOffsetY = m;
     50                     int subIndex = m * subWidth * 4 + n * 4;
     51                     var color = System.Drawing.Color.FromArgb(byteArrarySub[subIndex + 3], byteArrarySub[subIndex + 2], byteArrarySub[subIndex + 1], byteArrarySub[subIndex]);
     52                     if (!ColorAEqualColorB(color, bgColor, errorRange))
     53                     {
     54                         startPixelColor = color;
     55                         goto END;
     56                     }
     57                 }
     58             }
     59 
     60         END:
     61             for (int i = searchLeftTop.Y; i < iMax; i++)
     62             {
     63                 for (int j = searchLeftTop.X; j < jMax; j++)
     64                 {
     65                     //大图x，y坐标处的颜色值
     66                     int x = j, y = i;
     67                     int parIndex = i * parWidth * 4 + j * 4;
     68                     var colorBig = System.Drawing.Color.FromArgb(byteArraryPar[parIndex + 3], byteArraryPar[parIndex + 2], byteArraryPar[parIndex + 1], byteArraryPar[parIndex]);
     69                     ;
     70 
     71                     List<System.Drawing.Point> myListPoint = new List<System.Drawing.Point>();
     72                     if (ColorAEqualColorB(colorBig, startPixelColor, errorRange))
     73                     {
     74                         smallStartX = x - smallOffsetX;//待找的图X坐标
     75                         smallStartY = y - smallOffsetY;//待找的图Y坐标
     76                         int sum = 0;//所有需要比对的有效点
     77                         int matchNum = 0;//成功匹配的点
     78                         for (int m = 0; m < subHeight; m++)
     79                         {
     80                             for (int n = 0; n < subWidth; n++)
     81                             {
     82                                 int x1 = n, y1 = m;
     83                                 int subIndex = m * subWidth * 4 + n * 4;
     84                                 var color = System.Drawing.Color.FromArgb(byteArrarySub[subIndex + 3], byteArrarySub[subIndex + 2], byteArrarySub[subIndex + 1], byteArrarySub[subIndex]);
     85                                 if (color != bgColor)
     86                                 {
     87                                     sum++;
     88                                     int x2 = smallStartX + x1, y2 = smallStartY + y1;
     89                                     int parReleativeIndex = y2 * parWidth * 4 + x2 * 4;//比对大图对应的像素点的颜色
     90                                     var colorPixel = System.Drawing.Color.FromArgb(byteArraryPar[parReleativeIndex + 3], byteArraryPar[parReleativeIndex + 2], byteArraryPar[parReleativeIndex + 1], byteArraryPar[parReleativeIndex]);
     91                                     if (ColorAEqualColorB(colorPixel, color, errorRange))
     92                                     {
     93                                         matchNum++;
     94                                     }
     95                                     myListPoint.Add(new System.Drawing.Point(x2, y2));
     96                                 }
     97                             }
     98                         }
     99 
    100                         double rate = (double)matchNum / sum;
    101                         if (rate>= matchRate)
    102                         {
    103                             Console.WriteLine((double)matchNum / sum);
    104                             pointX = smallStartX + (int)(subWidth / 2.0);
    105                             pointY = smallStartY + (int)(subHeight / 2.0);
    106                             var point = new System.Drawing.Point(pointX, pointY);
    107                             if (!ListTextBodyContainsPoint(ListPoint, point, 1))
    108                             {
    109                                 ListPoint.Add(new NumBody() { point = point, matchNum = matchNum,matchSum=sum, matchRate = rate, bodyCollectionPoint = myListPoint });
    110                             }
    111                             SearchNumbersByMatchNum(ref ListPoint);
    112                             if (!isFindAll)
    113                             {
    114                                 goto FIND_END;
    115                             }
    116                         }
    117                     }
    118                     //小图x1,y1坐标处的颜色值
    119                 }
    120             }
    121         FIND_END:
    122             subBitmap.UnlockBits(subData);
    123             parBitmap.UnlockBits(parData);
    124             subBitmap.Dispose();
    125             parBitmap.Dispose();
    126             GC.Collect();
    127             return ListPoint;
    128         }

特别注意：有了这个方法还是不能找到你要的文字的。要先处理文字，下面举例：

例如在这张图片上找到朋友的朋字的坐标位置：

![211844265006404.png][]

1：打开你的PS，先将图片放大，看到像素方块为止，然后将朋字的范围圈选住，注意稍微比字圈选的大一点，像这样：

![211846577199701.png][]

2：按住CTRL+C，然后CTRL+N，出现对话框：(教教大家使用PS^\_^)

![211849400942408.png][]

3：将背景内容选择透明，按确定，再按CTRL+V复制图像

![211851366093237.png][]

4:将这个图片放大到看到像素为止，将所有非字体的位置全部用铅笔工具涂上同一种颜色，

![211852355471610.png][]

5:涂完了之后将这张图片保存下来，这张图片就是我们要查找的“朋”字，图片是这样的

![211854319375167.png][]

**6：我们需要的就是第五步的图片和第一张底图，下面见证奇迹的时刻到了。**

1          string str1 = @"C:\Users\JimmyBright\Desktop\1.png";
    2             string str2 = @"C:\Users\JimmyBright\Desktop\2.png";
    3             var xx = FindText(str2,str1,new System.Drawing.Rectangle(0, 0, 400, 600),10);

**str1是我们的底图，str2是第五步的那张处理后的文字图片，xx就是我们最后需要的文字的位置坐标，我们运行看看。下面截图运行结果：**

**![211859012501512.png][]**

**显然最后我们查找的文字在图片中的坐标为(224,286)，大家可以下载那张图片验证**

**找数：**

你以为找到文字就算完了吗？No，找数字才是最困难的，为什么呢？有人会问，数字难道不也是文字吗，不也可以通过PS处理数字达到查找其位置的目的吗？对的，数字也是文字，我们将需要查找的数字0~9全部PS处理，就能查到它们的位置了。但是有一个问题啊，游戏中用数字表示的地方通常是一连串的数字，这些数字里面包含0~9的任意组合。所以我们需要这样处理：

我们从0~9依次查找指定区域，记录每次查找的结果，没查到的数字不必记录，对查到结果的数字再按照X坐标排序，因为在X坐标越小，数字越靠左边。

还有一个严重的问题，例如38,14，这样的数字会很讨厌，为什么呢，我们会再8当中查找3，在4当中查找到1，这会对我们的数字识别产生重大误差，所以下面我也写了一个方法对这个问题做了处理，代码：

1     #region 查找数字
     2         
     3         /// <summary>
     4         /// 在指定区域里面查找数字
     5         /// </summary>
     6         /// <param name="numDic"></param>
     7         /// <param name="parPic"></param>
     8         /// <param name="searchRect"></param>
     9         /// <param name="errorRange"></param>
    10         /// <returns></returns>
    11         int FindNumbers(Dictionary<int, string> numDic, string parPic, System.Drawing.Rectangle searchRect, byte errorRange=8, double matchRate = 0.9)
    12         {
    13             //同一个区域找到多个相同的图片
    14             List<NumBody> ListBody = new List<NumBody>();
    15             foreach (var item in numDic)
    16             {
    17                 var listPoint = FindText(item.Value, parPic, searchRect, errorRange, matchRate, true);
    18                 foreach (var point in listPoint)
    19                 {
    20                     ListBody.Add(new NumBody() { num = item.Key,matchNum=point.matchNum,matchSum=point.matchSum, matchRate=point.matchRate, point = point.point, bodyCollectionPoint = point.bodyCollectionPoint });
    21                 }
    22             }
    23 
    24             SearchNumbersByMatchNum(ref ListBody);
    25             var myList = from body in ListBody orderby body.point.X ascending select body;
    26             string number = "0";
    27             foreach (var item in myList)
    28             {
    29                 number += item.num;
    30             }
    31             int num = Int32.Parse(number);
    32             return num;
    33         }
    34        /// <summary>
    35        /// 搜索同一个数字的时候，出现重叠的地方，用匹配度去过滤掉匹配度低的
    36        /// 比如同样是1，在控制匹配度允许下，一个（83,95）和（84,95）这两个点明显是同一个数字
    37        /// 此时谁的匹配度低过滤掉谁
    38        /// </summary>
    39        /// <param name="ListBody"></param>
    40         void SearchNumbersByMatchNum(ref List<NumBody> ListBody)
    41         {
    42             bool isValid = true;
    43             for (int i = 0; i < ListBody.Count; i++)
    44             {
    45                 var body = ListBody[i];
    46                 
    47                 for (int j = i; j < ListBody.Count; j++)
    48                 {
    49 
    50                     var bodyX = ListBody[j];
    51                     if (!bodyX.Equals(body))
    52                     {
    53                         int sameNum = 0;
    54                         foreach (var item in body.bodyCollectionPoint)
    55                         {
    56                             if (bodyX.bodyCollectionPoint.Contains(item))
    57                             {
    58                                 sameNum++;
    59                             }
    60                         }
    61                         if (sameNum >= 1)//有1个以上点重合，表面图像重叠，删除像素点数少的图像
    62                         {
    63                             isValid = false;
    64 
    65                             //如果某个数字100%匹配，那就不用比较了，这个数字肯定是对的
    66                             double maxRate = 1;
    67                             if (bodyX.matchRate >= maxRate)
    68                             {
    69                                 ListBody.Remove(body);
    70                             }
    71                             else if (body.matchRate>=maxRate)
    72                             {
    73                                 ListBody.Remove(bodyX);
    74                             }
    75                             else
    76                             {
    77                                 if (bodyX.matchNum >= body.matchNum)//图像包含的所有像素个数
    78                                 {
    79                                     ListBody.Remove(body);
    80                                 }
    81                                 else
    82                                 {
    83                                     ListBody.Remove(bodyX);
    84                                 }
    85                             }
    86                             SearchNumbersByMatchNum(ref ListBody);
    87                         }
    88                     }
    89                 }
    90             }
    91             if (isValid)
    92             {
    93                 return;
    94             }
    95         }
    96 
    97         #endregion

**其他方法：**

1    bool ColorAEqualColorB(System.Drawing.Color colorA, System.Drawing.Color colorB, byte errorRange = 10)
     2         {
     3             return colorA.A <= colorB.A + errorRange && colorA.A >= colorB.A - errorRange &&
     4                 colorA.R <= colorB.R + errorRange && colorA.R >= colorB.R - errorRange &&
     5                 colorA.G <= colorB.G + errorRange && colorA.G >= colorB.G - errorRange &&
     6                 colorA.B <= colorB.B + errorRange && colorA.B >= colorB.B - errorRange;
     7           
     8         }
     9         bool ListContainsPoint(List<System.Drawing.Point> listPoint, System.Drawing.Point point, double errorRange = 10)
    10         {
    11             bool isExist = false;
    12             foreach (var item in listPoint)
    13             {
    14                 if (item.X <= point.X + errorRange && item.X >= point.X - errorRange && item.Y <= point.Y + errorRange && item.Y >= point.Y - errorRange)
    15                 {
    16                     isExist = true;
    17                 }
    18             }
    19             return isExist;
    20         }
    21         bool ListTextBodyContainsPoint(List<NumBody> listPoint, System.Drawing.Point point, double errorRange = 10)
    22         {
    23             bool isExist = false;
    24             foreach (var item in listPoint)
    25             {
    26 
    27                 if (item.point.X <= point.X + errorRange && item.point.X >= point.X - errorRange && item.point.Y <= point.Y + errorRange && item.point.Y >= point.Y - errorRange)
    28                 {
    29                     isExist = true;
    30                 }
    31             }
    32             return isExist;
    33         }

结束语：以上代码本人实现了找颜色，找图片，找文字，找数字的所有功能，希望对朋友们能有所帮助。

最近找到了以前的代码：

想看源码的去这里

[我是源码][Link 1]

![274393-20190221144625623-1959748117.jpg][]

转载于:https://www.cnblogs.com/JimmyBright/p/4355862.html

[http_www.cnblogs.com_JimmyBright_p_4355862.html]: http://www.cnblogs.com/JimmyBright/p/4355862.html
[211844265006404.png]: /images/20211223/33f7784e471242818cb9ecde0f70929f.png
[211846577199701.png]: /images/20211223/a6fd867144ea41c5be04790232ca7c64.png
[211849400942408.png]: /images/20211223/8b27202487004528bf1cbaf2f40c5553.png
[211851366093237.png]: /images/20211223/ccc428e1f13143aa875a9d386c1ca518.png
[211852355471610.png]: /images/20211223/5b1c22c4c3ec4660afd3bc4685d041df.png
[211854319375167.png]: /images/20211223/04a157da70b9495f97430dec7cce962e.png
[211859012501512.png]: /images/20211223/51f42433969244fe9cd7d39790768f83.png
[Link 1]: https://github.com/ahuchjm/BtnPress.git
[274393-20190221144625623-1959748117.jpg]: /images/20211223/c42490976bc343beb7e1a0fb351a0254.png