BitmapImage
clVflip(ClCmdQueue& queue, cl::KernelFunctor& vflip,
BitmapImage& srcImg) throw (cl::Error) {
BitmapImage outImg = srcImg;
// Create the input, output image, and filter buffers!
cl::Image2D srcBuf = queue.makeImage(srcImg.getRow(0), srcImg.getWidth(),
srcImg.getHeight(), queue.ROFlags);
cl::Image2D outBuf = queue.makeImage(outImg.getRow(0), outImg.getWidth(),
outImg.getHeight(), queue.WOFlags);
// Setup sampler for source image to control sampler
cl::Sampler sampler(queue.getContext(), CL_FALSE, CL_ADDRESS_CLAMP,
CL_FILTER_NEAREST);
// Now use the OpenCl kernel to perform convolution
vflip(srcBuf, outBuf, srcImg.getWidth(), srcImg.getHeight(), sampler);
// Copy result image back from the device to host.
queue.enqueueMapImage(outBuf);
// Return the resulting image back to the caller.
return outImg;
}
BitmapImage
clRotate(ClCmdQueue& queue, cl::KernelFunctor& vrotate,
BitmapImage& srcImg, float theta) throw (cl::Error) {
// Create a new bitmap and scale it
BitmapImage outImg = srcImg;
float imgMax = sqrt(pow(srcImg.getWidth(),2) + pow(srcImg.getHeight(),2));
outImg.resize(imgMax, imgMax);
// Create the input, output image, and filter buffers!
cl::Image2D srcBuf = queue.makeImage(srcImg.getRow(0), srcImg.getWidth(),
srcImg.getHeight(), queue.ROFlags);
cl::Image2D outBuf = queue.makeImage(outImg.getRow(0), outImg.getWidth(),
outImg.getHeight(), queue.WOFlags);
// Setup sampler for source image to control sampler
cl::Sampler sampler(queue.getContext(), CL_FALSE, CL_ADDRESS_CLAMP,
CL_FILTER_NEAREST);
// Now use the OpenCl kernel to perform convolution
vrotate(srcBuf, outBuf, outImg.getWidth(), outImg.getHeight(), sampler,
(float)cos(theta), (float)sin(theta));
// Copy result image back from the device to host.
queue.enqueueMapImage(outBuf);
// Return the resulting image back to the caller.
return outImg;
}
