static void Main(string[] args)
{
var ActionSvc = IocContainer.Resolve <IActionService>();
var deviceID = ActionSvc.GetDeciveID();
if (String.IsNullOrEmpty(deviceID))
{
Console.WriteLine("当前没有检测到手机");
Console.WriteLine("请在手机 设置->开发者选项->打开开发都选项和USB调试 后继续运行此程序");
Console.ReadKey();
return;
}
var targetScore = 100;
Console.WriteLine("如果累积误差比较大，请停止此程序。可以运行半自动版本消除误差后再重新运行此版本");
Console.WriteLine("请输入您希望跳的目标分数（当达到此分数后，程序自动停止）");
var inputScore = Console.ReadLine();
targetScore = int.Parse(inputScore);
var Model = new AutoCacheModel();
var rand = new Random();
while (true)
{
var bitImg = ActionSvc.GetScreenshots();
Model.Image = new WidthHeight()
{
Width = bitImg.Width, Height = bitImg.Height
};
Image <Rgb, Byte> img = new Image <Rgb, Byte>(bitImg);
Image <Rgb, Byte> sourceImg = new Image <Rgb, Byte>(bitImg);
//原图宽的1/2
var imgWidthCenter = (int)(img.Width / 2.0);
//原图宽的1/3
var imgWidthSplit = (int)(img.Width / 3.0);
//原图高的1/3
var imgHeightSplit = (int)(img.Height / 3.0);
//成绩识别
var sourceGrayImg = sourceImg.Convert <Gray, Byte>();
Rectangle rectScore = new Rectangle(0, 0, imgWidthSplit * 2, imgHeightSplit);
CvInvoke.cvSetImageROI(sourceGrayImg, rectScore);
var scoreImg = new Image <Gray, Byte>(imgWidthSplit * 2, imgHeightSplit);
CvInvoke.cvCopy(sourceGrayImg, scoreImg, IntPtr.Zero);
var thresImg = scoreImg.ThresholdBinary(new Gray(78), new Gray(255));
//thresImg.ToBitmap().Save(Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "DownLoad", DateTime.Now.ToString("yyyyMMddHHmmssfff") + ".png"));
Tesseract ocr = new Tesseract("", "num", OcrEngineMode.TesseractLstmCombined, "0123456789");
ocr.SetImage(thresImg);
ocr.SetVariable("tessedit_char_whitelist", "0123456789");
if (ocr.Recognize() == 0)
{
var val = ocr.GetUTF8Text();
val = val.Trim().Replace(" ", "");
if (!String.IsNullOrEmpty(val))
{
int score = Model.Score;
var canParse = int.TryParse(val, out score);
if (canParse && score > Model.Score)
{
Model.Score = score;
}
}
}
if (Model.Score >= targetScore)
{
break;
}
var tempGrayPath = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "Template", "Current.png");
var tempGrayImg = new Image <Rgb, byte>(tempGrayPath);
var match = img.MatchTemplate(tempGrayImg, TemplateMatchingType.CcorrNormed);
double min = 0, max = 0;
Point maxp = new Point(0, 0);//最好匹配的点
Point minp = new Point(0, 0);
CvInvoke.MinMaxLoc(match, ref min, ref max, ref minp, ref maxp);
var startPoint = new Point();
startPoint.X = maxp.X + (int)(tempGrayImg.Width / 2.0);
startPoint.Y = maxp.Y + tempGrayImg.Height - 20;
//裁剪查找区域
//原图片1/3以下，小黑人以上
var newImgStart = imgHeightSplit;
var newImgEnd = maxp.Y + tempGrayImg.Height;
var newImgHeight = newImgEnd - newImgStart;
Rectangle rect = new Rectangle(0, newImgStart, img.Width, newImgHeight);
CvInvoke.cvSetImageROI(sourceImg, rect);
var newImg = new Image <Rgb, byte>(sourceImg.Width, newImgHeight);
CvInvoke.cvCopy(sourceImg, newImg, IntPtr.Zero);
//看小黑人在程序的左边还是右边
//如果在左边，那目标点就在图片的右边
bool targetInLeft = true;
if (maxp.X < imgWidthCenter)
{
targetInLeft = false;
}
Rectangle halfRect;
if (targetInLeft)
{
halfRect = new Rectangle(0, 0, imgWidthCenter, newImgHeight);
}
else
{
halfRect = new Rectangle(imgWidthCenter, 0, imgWidthCenter, newImgHeight);
}
CvInvoke.cvSetImageROI(newImg, halfRect);
var halfImg = new Image <Rgb, byte>(imgWidthCenter, newImgHeight);
CvInvoke.cvCopy(newImg, halfImg, IntPtr.Zero);
Point topPoint = new Point();
for (int i = 0; i < halfImg.Rows; i++)
{
for (int j = 0; j < halfImg.Cols - 1; j++)
{
var cur = halfImg[i, j];
var next = halfImg[i, j + 1];
if (Math.Abs(RgbHelp.GetDiff(cur, next)) > 2)
{
var x = 2;
next = halfImg[i, j + x];
while (Math.Abs(RgbHelp.GetDiff(cur, next)) > 2)
{
x++;
next = halfImg[i, j + x];
}
topPoint.Y = i;
topPoint.X = j + (int)(x / 2.0);
break;
}
}
if (!topPoint.IsEmpty)
{
break;
}
}
//这个顶点在原图中的位置
var oldTopX = topPoint.X;
if (!targetInLeft)
{
oldTopX += imgWidthCenter;
}
var oldTopY = topPoint.Y + imgHeightSplit;
var oldTopPoint = new Point(oldTopX, oldTopY);
Model.Top = oldTopPoint;
Model.Start = startPoint;
Console.WriteLine(JsonConvert.SerializeObject(Model));
ActionSvc.Action(Model.Image, Model.Time);
bitImg.Dispose();
img.Dispose();
sourceImg.Dispose();
sourceGrayImg.Dispose();
scoreImg.Dispose();
thresImg.Dispose();
tempGrayImg.Dispose();
match.Dispose();
newImg.Dispose();
halfImg.Dispose();
Thread.Sleep(Model.Time + rand.Next(600, 2000));
}
}
static void Main(string[] args)
{
var ActionSvc = IocContainer.Resolve <IActionService>();
var deviceID = ActionSvc.GetDeciveID();
if (String.IsNullOrEmpty(deviceID))
{
Console.WriteLine("当前没有检测到手机");
Console.WriteLine("请在手机 设置->开发者选项->打开开发都选项和USB调试 后继续运行此程序");
Console.ReadKey();
return;
}
var Model = new AutoCacheModel();
var rand = new Random();
while (true)
{
var bitImg = ActionSvc.GetScreenshots();
Model.Image = new WidthHeight()
{
Width = bitImg.Width, Height = bitImg.Height
};
Image <Rgb, Byte> img = new Image <Rgb, Byte>(bitImg);
Image <Rgb, Byte> sourceImg = new Image <Rgb, byte>(bitImg);
//原图宽的1/2
var imgWidthCenter = (int)(img.Width / 2.0);
//原图高的1/3
var imgHeightSplit = (int)(img.Height / 3.0);
var tempGrayPath = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "Template", "Current.png");
var tempGrayImg = new Image <Rgb, byte>(tempGrayPath);
var match = img.MatchTemplate(tempGrayImg, TemplateMatchingType.CcorrNormed);
double min = 0, max = 0;
Point maxp = new Point(0, 0);//最好匹配的点
Point minp = new Point(0, 0);
CvInvoke.MinMaxLoc(match, ref min, ref max, ref minp, ref maxp);
var startPoint = new Point();
startPoint.X = maxp.X + (int)(tempGrayImg.Width / 2.0);
startPoint.Y = maxp.Y + tempGrayImg.Height - 20;
//裁剪查找区域
//原图片1/3以下，小黑人以上
var newImgStart = imgHeightSplit;
var newImgEnd = maxp.Y + tempGrayImg.Height;
var newImgHeight = newImgEnd - newImgStart;
Rectangle rect = new Rectangle(0, newImgStart, img.Width, newImgHeight);
CvInvoke.cvSetImageROI(sourceImg, rect);
var newImg = new Image <Rgb, byte>(sourceImg.Width, newImgHeight);
CvInvoke.cvCopy(sourceImg, newImg, IntPtr.Zero);
//看小黑人在程序的左边还是右边
//如果在左边，那目标点就在图片的右边
bool targetInLeft = true;
if (maxp.X < imgWidthCenter)
{
targetInLeft = false;
}
Rectangle halfRect;
if (targetInLeft)
{
halfRect = new Rectangle(0, 0, imgWidthCenter, newImgHeight);
}
else
{
halfRect = new Rectangle(imgWidthCenter, 0, imgWidthCenter, newImgHeight);
}
CvInvoke.cvSetImageROI(newImg, halfRect);
var halfImg = new Image <Rgb, byte>(imgWidthCenter, newImgHeight);
CvInvoke.cvCopy(newImg, halfImg, IntPtr.Zero);
Point topPoint = new Point();
for (int i = 0; i < halfImg.Rows; i++)
{
for (int j = 0; j < halfImg.Cols - 1; j++)
{
var cur = halfImg[i, j];
var next = halfImg[i, j + 1];
if (Math.Abs(RgbHelp.GetDiff(cur, next)) > 2)
{
var x = 2;
next = halfImg[i, j + x];
while (Math.Abs(RgbHelp.GetDiff(cur, next)) > 2)
{
x++;
next = halfImg[i, j + x];
}
topPoint.Y = i;
topPoint.X = j + (int)(x / 2.0);
break;
}
}
if (!topPoint.IsEmpty)
{
break;
}
}
//这个顶点在原图中的位置
var oldTopX = topPoint.X;
if (!targetInLeft)
{
oldTopX += imgWidthCenter;
}
var oldTopY = topPoint.Y + imgHeightSplit;
var oldTopPoint = new Point(oldTopX, oldTopY);
Model.Top = oldTopPoint;
Model.Start = startPoint;
Console.WriteLine(JsonConvert.SerializeObject(Model));
ActionSvc.Action(Model.Image, Model.Time);
bitImg.Dispose();
img.Dispose();
sourceImg.Dispose();
match.Dispose();
newImg.Dispose();
halfImg.Dispose();
Thread.Sleep(Model.Time + rand.Next(600, 1000));
}
}