/**
* Processes a recorded video or live view from web-camera and allows you to adjust homography refinement and
* reprojection threshold in runtime.
*/
void processVideo(const cv::Mat& patternImage, CameraCalibration& calibration, cv::VideoCapture& capture)
{
// Grab first frame to get the frame dimensions
cv::Mat currentFrame;
capture >> currentFrame;
// Check the capture succeeded:
if (currentFrame.empty())
{
std::cout << "Cannot open video capture device" << std::endl;
return;
}
cv::Size frameSize(currentFrame.cols, currentFrame.rows);
ARPipeline pipeline(patternImage, calibration);
ARDrawingContext drawingCtx("Markerless AR", frameSize, calibration);
bool shouldQuit = false;
do
{
capture >> currentFrame;
if (currentFrame.empty())
{
shouldQuit = true;
continue;
}
shouldQuit = processFrame(currentFrame, pipeline, drawingCtx);
} while (!shouldQuit);
}
void processVideo(CameraCalibration& calibration, cv::VideoCapture& capture)
{
// Grab first frame to get the frame dimensions
cv::Mat currentFrame, srcFrame;
capture >> srcFrame;
resize(srcFrame, currentFrame, cvSize(653, 368));
// Check the capture succeeded:
if (currentFrame.empty())
{
std::cout << "Cannot open video capture device" << std::endl;
return;
}
cv::Size frameSize(currentFrame.cols, currentFrame.rows);
std::auto_ptr<MarkerDetectionFacade> detector = createMarkerDetection(calibration);
ARDrawingContext drawingCtx("Markerless AR", frameSize, calibration);
bool shouldQuit = false;
do
{
capture >> srcFrame;
if (srcFrame.empty())
{
shouldQuit = true;
continue;
}
resize(srcFrame, currentFrame, cvSize(653,368));
shouldQuit = processFrame(currentFrame, detector, drawingCtx);
} while (!shouldQuit);
}
/**
* Processes single image. The processing goes in a loop.
* It allows you to control the detection process by adjusting homography refinement switch and
* reprojection threshold in runtime.
*/
void processSingleImage(const cv::Mat& patternImage, CameraCalibration& calibration, const cv::Mat& image)
{
cv::Size frameSize(image.cols, image.rows);
ARPipeline pipeline(patternImage, calibration);
ARDrawingContext drawingCtx("Markerless AR", frameSize, calibration);
bool shouldQuit = false;
do
{
shouldQuit = processFrame(image, pipeline, drawingCtx);
} while (!shouldQuit);
}
void processSingleImage(CameraCalibration& calibration, const cv::Mat& image)
{
cv::Size frameSize(image.cols, image.rows);
std::auto_ptr<MarkerDetectionFacade> detector = createMarkerDetection(calibration);
ARDrawingContext drawingCtx("Markerless AR", frameSize, calibration);
bool shouldQuit = false;
do
{
shouldQuit = processFrame(image, detector, drawingCtx);
} while (!shouldQuit);
}
