int main()
{
//Mat image = imread("E:\\video\\PTES\\S1-T1-C\\video\\pets2006\\S1-T1-C\\4\\S1-T1-C.00001.jpeg");
MyThread test;
BackgroundImg bgImg;
ObjectArea objectArea;
//StaticRegion targetRegion;
//list<DetectObject> staticTarget;
Mat img, gray, mask, background;
int nframe = 0;
int OneFrameProcess = 0;
int key;//控制视频播放
MyLoadImage imagefile("E:\\video\\PTES\\S1-T1-C\\video\\pets2006\\S1-T1-C\\1\\S1-T1-C.");
#ifdef DEBUG
clock_t start, finish;
double sum=0.0;
#endif
while (1)
{
#ifdef DEBUG
start = clock();
#endif
nframe++;
cout << nframe << endl;
IplImage *frame = imagefile.GetFrameFromImg(nframe);
img = cv::Mat(frame, true);
cvtColor(img, gray, CV_RGB2GRAY);
if (nframe == 1)
{
mask.create(gray.size(), CV_8U);
background.create(gray.size(), CV_8U);
bgImg.Init(frame); //初始化背景
}
mask.setTo(cv::Scalar(0));
background.setTo(cv::Scalar(0));
test.DealImage(gray, mask, background);
//objectArea.GetObjectArea(mask);
//cv::Mat temp = objectArea.ReturnObjectArea();
//把Mat类型转换成CvMat类型
IplImage BinaryImage = mask.operator IplImage();
IplImage BackImage = background.operator IplImage();
IplImage grayImage = gray.operator IplImage();
objectArea.LocateObject(&BinaryImage, nframe);
//objectArea.ChoseRightObject(frame, bgImg);
objectArea.ShowObject(frame);
//检测到异常目标
//targetRegion.FindRawContourAreas(&BinaryImage, &grayImage, nframe);
//targetRegion.AttachTypeTag(&BackImage, &grayImage);
// targetRegion.ExtractGoodAreas(staticTarget, &grayImage, StaticFrameThr, nframe);
// targetRegion.ShowStaticAreas(frame, staticTarget);
cvShowImage("src", frame);
imshow("mask", mask);
imshow("bg", background);
if( ( key = cvWaitKey(OneFrameProcess ? 0 : 1)) == 27 )
break;
if(key != -1)
{
OneFrameProcess = 1;
if(key == 'r') OneFrameProcess = 0;
}
imagefile.ReleaseFrame();
#ifdef DEBUG
finish = clock();
double cur= (double)(finish-start)/CLOCKS_PER_SEC;
sum += cur;
cout << "avg:" << sum/nframe << "cur:" << cur << endl; //s/frame:0.030(无处理） 0.078(无分块处理） 0.049（分块处理）
#endif
}
return 0;
}
