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本来我玩飞车舞蹈技术挺好的,有时候不稳定。有一次被人嘲讽了,当时心中不忿,就写了个这个

另外我对opencv不熟..写这个就是看了百度使用opencv基础函数的文章。。。,有opencv复杂问题不要问我谢谢...

C++可以随便问

贴出核心代码

void CJuzQQFeiCheDlg::OnBnClickedButton3()

{

int nCatImageSize_x = 355 + 30;

int nCatImageSize_y = 45;

int nCatImageSize_left = 205 - 20;

int nCatImageSize_top = 488;

//创建兼容位图

HBITMAP mCloneGameBitMap = CreateCompatibleBitmap(gameDc, nCatImageSize_x, nCatImageSize_y);

//创建兼容 dc

HDC mCloneGameDc = ::CreateCompatibleDC(gameDc);//创建当前上下文的兼容dc(内存DC)

HBITMAP hOldBitmap = (HBITMAP)::SelectObject(mCloneGameDc, mCloneGameBitMap);//将位图加载到内存DC

//复制位图到刚创建出来的图

BitBlt(mCloneGameDc, 0, 0, nCatImageSize_x, nCatImageSize_y, gameDc, nCatImageSize_left, nCatImageSize_top, SRCCOPY); //213 450是起点

int nCountNum = 0;

Mat sourceImage ;

if (HBitmapToMat(mCloneGameBitMap, sourceImage))

{

//取到图片先灰度化

Mat hSrcImage;

Mat copyImg = sourceImage.clone();

cvtColor(sourceImage, hSrcImage, CV_BGR2GRAY);//原图变灰度

threshold(hSrcImage, hSrcImage, 140, 255, CV_THRESH_BINARY);//对图像进行二值化

//2.查找轮廓

vector> contours2;

findContours(hSrcImage, contours2, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);//最外层轮廓

//删掉面积小的

vector >::iterator iter = contours2.begin();

for (; iter != contours2.end();)

{

double g_dConArea = contourArea(*iter);

if (g_dConArea < 500) //面积500一下都不要

{

iter = contours2.erase(iter);

}

else

{

++iter;

}

}

//全部变成色

int nr = copyImg.rows;

int nl = copyImg.cols * copyImg.channels();

for (int k = 0; k < nr; k++)

{

uchar* outData = copyImg.ptr(k);

for (int i = 0; i < nl; i++)

{

outData[i] = 255;

}

}

drawContours(copyImg, contours2, -1, Scalar(0, 0, 255), -1, 8);

cvtColor(copyImg, copyImg, CV_BGR2GRAY);//原图变灰度

Mat tempImage,caoSrcImage;

feiCheKey.clear();//清空之前的按键

while (true)

{

caoSrcImage = copyImg(Rect(0, 0, hSrcImage.cols, hSrcImage.rows));

int nFindNowNum = 0;

bool isSave = false;

//开始匹配图像

for (int i = 0; i < 4; i++)

{

tempImage = g_DirectionImage[i](Rect(0, 0, g_DirectionImage[i].cols, g_DirectionImage[i].rows));

cvtColor(tempImage, tempImage, CV_BGR2GRAY);//原图变灰度

int result_cols = caoSrcImage.cols - tempImage.cols + 1;

int result_rows = caoSrcImage.rows - tempImage.rows + 1;

if (result_cols >= 0 && result_rows >= 0 && caoSrcImage.cols > tempImage.cols && caoSrcImage.rows > tempImage.rows)

{

cv::Mat result = cv::Mat(result_cols, result_rows, CV_32FC1);

cv::matchTemplate(caoSrcImage, tempImage, result, CV_TM_SQDIFF);

double minVal, maxVal;

cv::Point minLoc, maxLoc, matchLoc;

cv::minMaxLoc(result, &minVal, &maxVal, &minLoc, &maxLoc, Mat());

matchLoc = minLoc;

//if (minVal >= 500000) //左键可能被误认成下键 47万左右

if (minVal >= 400000)

{

nFindNowNum++;

}

else

{

FEICHE_KEYINFO feicheInfo;

feicheInfo.mX = matchLoc.x;

feicheInfo.mY = matchLoc.y;

feicheInfo.nDir = i;

feicheInfo.mXS = minVal;

feiCheKey.push_back(feicheInfo);

rectangle(caoSrcImage, Point(matchLoc.x, matchLoc.y), Point(matchLoc.x + tempImage.cols, matchLoc.y + tempImage.rows), Scalar(255, 255, 255), -1, 8);

if (minVal >= 300000) //统计出现300000及以上的按键图

{

isSave = true;

}

}

}

}

if (nFindNowNum >= 4)

{

//feiCheKey 排序

imshow("sss", caoSrcImage);

std::sort(feiCheKey.begin(), feiCheKey.end(), FeiCheSort);

int count = feiCheKey.size();

CString shibieTitle, strXS, savePath;

shibieTitle.Format(L"一共识别出:%d 键 分别是:", count);

for (int i = 0; i < count; i++)

{

int minNum = feiCheKey[i].nDir;

int testXS = feiCheKey[i].mXS;

strXS.Format(L"(%d)", testXS);

if (minNum == 0)

{

shibieTitle = shibieTitle + L" 上";

}

else if (minNum == 1)

{

shibieTitle = shibieTitle + L" 下";

}

else if (minNum == 2)

{

shibieTitle = shibieTitle + L" 左";

}

else if (minNum == 3)

{

shibieTitle = shibieTitle + L" 右";

}

shibieTitle = shibieTitle + strXS;

savePath = savePath + strXS;

}

//更新文本

CStatic *testShow = (CStatic*)GetDlgItem(IDC_STATIC_SHOW);

if (count <= 0)

{

RECT rc;

::GetClientRect(g_GameWindwosAdd, &rc);

shibieTitle.Format(L"分析失败 目标窗口【长:%d 宽:%d】", rc.right, rc.bottom);

}

else

{

if (isSave)

{

CString path, numPath;

static int num = 0;

numPath.Format(L"_%d.jpg", num++);

path = L"d:\\moni\\" + savePath + numPath;

string Savepath = CStringA(path);

imwrite(Savepath, copyImg);

}

}

testShow->SetWindowTextW(shibieTitle);

//按下按键

for (int i = 0; i < count; i++)

{

int minNum = feiCheKey[i].nDir;

if (minNum == 0)

{

OutputDebugString(L"上");

juzKey.KEYKEY(VK_UP);

}

else if (minNum == 1)

{

OutputDebugString(L"下");

juzKey.KEYKEY(VK_DOWN);

}

else if (minNum == 2)

{

OutputDebugString(L"左");

juzKey.KEYKEY(VK_LEFT);

}

else if (minNum == 3)

{

OutputDebugString(L"右");

juzKey.KEYKEY(VK_RIGHT);

}

}

break;

}

}

}

//底部居中显示获取到的图

RECT clientRt;

GetClientRect(&clientRt);

int nClientPosx = (clientRt.right / 2) - (nCatImageSize_x / 2);

int nClientPosy = clientRt.bottom - nCatImageSize_y - 10;

//恢复到本窗口

BitBlt(theDc->m_hDC, nClientPosx, nClientPosy , nCatImageSize_x, nCatImageSize_y, mCloneGameDc, 0, 0, SRCCOPY);

//恢复内存原始数据

::SelectObject(mCloneGameDc, hOldBitmap);

//删除资源，防止泄漏

::DeleteObject(hOldBitmap);

::DeleteDC(mCloneGameDc);

}

原理很简单,获取飞车的窗口句柄,在800*600的情况下 截图到位图中。位图转成opencv的mat开始分析

利用模板匹配的方式进行匹配。目前分析成功率为98%以上

最后的话模拟按键就可以了 (这里坑了我一下,我向飞车窗口投递按键消息没反应。后面才想起来...d3d游戏有

一套自己的处理按键方式,为了更加快速的处理 而不经过微软的消息队列。有俩种方式实现按键,一种是hook d3d的DirectInput 这种方式可以后台模拟按键。还有一种是驱动模拟按键,我这里选的是驱动,只能前台模拟)

最后，效果图