本文整理汇总了C++中DJI_event::set_DJI_event方法的典型用法代码示例。如果您正苦于以下问题：C++ DJI_event::set_DJI_event方法的具体用法？C++ DJI_event::set_DJI_event怎么用？C++ DJI_event::set_DJI_event使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类DJI_event的用法示例。
在下文中一共展示了DJI_event::set_DJI_event方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: guidance_callback
//.........这里部分代码省略.........
for(size_t i=0;i<nextrightpts.size();i++)
{
if(nextrightpts[i].x>=0 && nextrightpts[i].x<=WIDTH && nextrightpts[i].y>=0 && nextrightpts[i].y<=HEIGHT)
{
CvScalar line_color; line_color = CV_RGB(255,0,0);
//int line_thickness = 1;
CvPoint p,q;
p.x = (int) prevrightpts[i].x;
p.y = (int) prevrightpts[i].y;
q.x = (int) nextrightpts[i].x;
q.y = (int) nextrightpts[i].y;
// double angle; angle = atan2( (double) p.y - q.y, (double) p.x - q.x );
// double hypotenuse; hypotenuse = sqrt( pow((p.y - q.y),2) + pow((p.x - q.x),2) );
//
//// //scale the line by a factor of 3
// q.x = (int) (p.x - 2 * hypotenuse * cos(angle));
// q.y = (int) (p.y - 2 * hypotenuse * sin(angle));
//
// cvLine( &prevrightimg, p, q, line_color, line_thickness, CV_AA, 0 );
//
// p.x = (int) (q.x + 9 * cos(angle + pi / 4));
// p.y = (int) (q.y + 9 * sin(angle + pi / 4));
// cvLine( &prevrightimg, p, q, line_color, line_thickness, CV_AA, 0 );
// p.x = (int) (q.x + 9 * cos(angle - pi / 4));
// p.y = (int) (q.y + 9 * sin(angle - pi / 4));
// cvLine( &prevrightimg, p, q, line_color, line_thickness, CV_AA, 0 );
//
arrowedLine(right_mask, p, q, line_color);
circle(right_mask, nextrightpts[i], 2, Scalar(0,255,0),-1);
kpts.push_back(nextrightpts[i]);
}
}
imshow("right", right_mask);
moveWindow("right", 500, 0);
}
if(frame_num>0)
{
if(nextrightpts.size()<=MIN_FEATURES)
{
goodFeaturesToTrack(g_greyscale_image_right, prevrightpts, MAX_FEATURES, QUALITY_EIGVALUE, MIN_DISTANCE);
}
else
{
prevrightpts.assign(kpts.begin(), kpts.end());
}
}
g_greyscale_image_right.copyTo(prevrightimg);
frame_num++;
}
//Stero matching
// Mat g_l,g_r;
//
// cvtColor(g_greyscale_image_left, g_l, CV_BGR2GRAY);
// cvtColor(g_greyscale_image_right,g_r, CV_BGR2GRAY);
Mat imgDisparity16S = Mat( g_greyscale_image_left.rows, g_greyscale_image_left.cols, CV_16S );
Mat imgDisparity8U = Mat( g_greyscale_image_left.rows, g_greyscale_image_left.cols, CV_8UC1 );
int ndisparities = 16*4;
int SADWindowSize = 7;
Ptr<StereoBM> sbm = StereoBM::create( ndisparities, SADWindowSize );
sbm->compute( g_greyscale_image_left, g_greyscale_image_right, imgDisparity16S );
double minVal; double maxVal;
minMaxLoc( imgDisparity16S, &minVal, &maxVal );
printf("Min disp: %f Max value: %f \n", minVal, maxVal);
imgDisparity16S.convertTo( imgDisparity8U, CV_8UC1, 255/(maxVal - minVal));
namedWindow( "windowDisparity", WINDOW_AUTOSIZE );
imshow( "windowDisparity", imgDisparity8U );
moveWindow("windowDisparity", 500, 500);
}
waitKey(1);
}
g_lock.leave();
g_event.set_DJI_event();
return 0;
}