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Hi, I have read few other questions about Super Resolution and Video on this forum. But I did not find any tip about real time processing with super resolution. I wanted to test with a webcam but it seems that the algorithms, at least the BTV SuperResolution algorithm, need too many resources to be achieved real time and are supposed to have smal input size.

1. Is there a new alternative for real time processing?
2. I tried the approach below but did not succeed. Did I make a programming mistake?

Code:

Mat newRawImage;
Ptr<SuperResolution> superRes;
Ptr<DenseOpticalFlowExt> of;
Ptr<FrameSource> frameSource;

And I call the following part in an infinite loop of a thread and use newRawImage:

if (of.empty())
{
  of = createOptFlow_DualTVL1_OCL();
}
if (!of.empty())
{
   superRes = createSuperResolution_BTVL1_OCL();
   superRes->set("opticalFlow", ext->of);
   superRes->set("scale", 4);
   superRes->set("iterations", 4);
   superRes->set("temporalAreaRadius", 4);
   if (frameSource.empty())
   {
     frameSource = createFrameSource_Camera(deviceId);
     superRes->setInput(frameSource);
   }
   cv::ocl::oclMat result_;
   superRes->nextFrame(result_);
   ocl::finish();
   if (!result_.empty())
   {
      result_.download(newRawImage);
   }
}

Hi, I have read few other questions about Super Resolution and Video on this forum. But I did not find any tip about real time processing with super resolution. I wanted to test with a webcam but it seems that the algorithms, at least the BTV SuperResolution algorithm, need too many resources to be achieved real time and are supposed to have smal small input size.

1. Is there a new alternative for real time processing?
2. I tried the approach below but did not succeed. Did I make a programming mistake?

Code:

Mat newRawImage;
Ptr<SuperResolution> superRes;
Ptr<DenseOpticalFlowExt> of;
Ptr<FrameSource> frameSource;

And I call the following part in an infinite loop of a thread and use newRawImage:

if (of.empty())
{
  of = createOptFlow_DualTVL1_OCL();
}
if (!of.empty())
{
   superRes = createSuperResolution_BTVL1_OCL();
   superRes->set("opticalFlow", ext->of);
   superRes->set("scale", 4);
   superRes->set("iterations", 4);
   superRes->set("temporalAreaRadius", 4);
   if (frameSource.empty())
   {
     frameSource = createFrameSource_Camera(deviceId);
     superRes->setInput(frameSource);
   }
   cv::ocl::oclMat result_;
   superRes->nextFrame(result_);
   ocl::finish();
   if (!result_.empty())
   {
      result_.download(newRawImage);
   }
}