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cleaned up super_resolution sample from old OCL

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This commit is contained in:
Ilya Lavrenov 2014-01-31 21:00:16 +04:00
parent c7fe162829
commit 2e8579fe9b
8 changed files with 27 additions and 245 deletions
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100
.project
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@ -1,100 +0,0 @@
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7
modules/core/include/opencv2/core/mat.hpp
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@ -85,10 +85,9 @@ public:
OPENGL_BUFFER = 7 << KIND_SHIFT,
CUDA_MEM = 8 << KIND_SHIFT,
GPU_MAT = 9 << KIND_SHIFT,
OCL_MAT =10 << KIND_SHIFT,
UMAT =11 << KIND_SHIFT,
STD_VECTOR_UMAT =12 << KIND_SHIFT,
UEXPR =13 << KIND_SHIFT
UMAT =10 << KIND_SHIFT,
STD_VECTOR_UMAT =11 << KIND_SHIFT,
UEXPR =12 << KIND_SHIFT
};
_InputArray();

12
modules/core/src/directx.cpp
View File

@ -736,7 +736,7 @@ void convertToD3D11Texture2D(InputArray src, ID3D11Texture2D* pD3D11Texture2D)
cl_mem clBuffer = (cl_mem)u.handle(ACCESS_READ);
cl_command_queue q = (cl_command_queue)CommandQueue::getDefault().ptr();
cl_command_queue q = (cl_command_queue)Queue::getDefault().ptr();
status = clEnqueueAcquireD3D11ObjectsKHR(q, 1, &clImage, 0, NULL, NULL);
if (status != CL_SUCCESS)
CV_Error(cv::Error::OpenCLApiCallError, "OpenCL: clEnqueueAcquireD3D11ObjectsKHR failed");
@ -795,7 +795,7 @@ void convertFromD3D11Texture2D(ID3D11Texture2D* pD3D11Texture2D, OutputArray dst
cl_mem clBuffer = (cl_mem)u.handle(ACCESS_READ);
cl_command_queue q = (cl_command_queue)CommandQueue::getDefault().ptr();
cl_command_queue q = (cl_command_queue)Queue::getDefault().ptr();
status = clEnqueueAcquireD3D11ObjectsKHR(q, 1, &clImage, 0, NULL, NULL);
if (status != CL_SUCCESS)
CV_Error(cv::Error::OpenCLApiCallError, "OpenCL: clEnqueueAcquireD3D11ObjectsKHR failed");
@ -884,7 +884,7 @@ void convertToD3D10Texture2D(InputArray src, ID3D10Texture2D* pD3D10Texture2D)
cl_mem clBuffer = (cl_mem)u.handle(ACCESS_READ);
cl_command_queue q = (cl_command_queue)CommandQueue::getDefault().ptr();
cl_command_queue q = (cl_command_queue)Queue::getDefault().ptr();
status = clEnqueueAcquireD3D10ObjectsKHR(q, 1, &clImage, 0, NULL, NULL);
if (status != CL_SUCCESS)
CV_Error(cv::Error::OpenCLApiCallError, "OpenCL: clEnqueueAcquireD3D10ObjectsKHR failed");
@ -943,7 +943,7 @@ void convertFromD3D10Texture2D(ID3D10Texture2D* pD3D10Texture2D, OutputArray dst
cl_mem clBuffer = (cl_mem)u.handle(ACCESS_READ);
cl_command_queue q = (cl_command_queue)CommandQueue::getDefault().ptr();
cl_command_queue q = (cl_command_queue)Queue::getDefault().ptr();
status = clEnqueueAcquireD3D10ObjectsKHR(q, 1, &clImage, 0, NULL, NULL);
if (status != CL_SUCCESS)
CV_Error(cv::Error::OpenCLApiCallError, "OpenCL: clEnqueueAcquireD3D10ObjectsKHR failed");
@ -1038,7 +1038,7 @@ void convertToDirect3DSurface9(InputArray src, IDirect3DSurface9* pDirect3DSurfa
cl_mem clBuffer = (cl_mem)u.handle(ACCESS_READ);
cl_command_queue q = (cl_command_queue)CommandQueue::getDefault().ptr();
cl_command_queue q = (cl_command_queue)Queue::getDefault().ptr();
status = clEnqueueAcquireDX9MediaSurfacesKHR(q, 1, &clImage, 0, NULL, NULL);
if (status != CL_SUCCESS)
CV_Error(cv::Error::OpenCLApiCallError, "OpenCL: clEnqueueAcquireDX9MediaSurfacesKHR failed");
@ -1104,7 +1104,7 @@ void convertFromDirect3DSurface9(IDirect3DSurface9* pDirect3DSurface9, OutputArr
cl_mem clBuffer = (cl_mem)u.handle(ACCESS_WRITE);
cl_command_queue q = (cl_command_queue)CommandQueue::getDefault().ptr();
cl_command_queue q = (cl_command_queue)Queue::getDefault().ptr();
status = clEnqueueAcquireDX9MediaSurfacesKHR(q, 1, &clImage, 0, NULL, NULL);
if (status != CL_SUCCESS)
CV_Error(cv::Error::OpenCLApiCallError, "OpenCL: clEnqueueAcquireDX9MediaSurfacesKHR failed");

17
modules/core/src/matrix.cpp
View File

@ -1496,11 +1496,6 @@ Size _InputArray::size(int i) const
return d_mat->size();
}
if( k == OCL_MAT )
{
CV_Error(CV_StsNotImplemented, "This method is not implemented for oclMat yet");
}
CV_Assert( k == CUDA_MEM );
//if( k == CUDA_MEM )
{
@ -1680,11 +1675,6 @@ int _InputArray::dims(int i) const
return 2;
}
if( k == OCL_MAT )
{
return 2;
}
CV_Assert( k == CUDA_MEM );
//if( k == CUDA_MEM )
{
@ -1842,11 +1832,6 @@ bool _InputArray::empty() const
if( k == OPENGL_BUFFER )
return ((const ogl::Buffer*)obj)->empty();
if( k == OCL_MAT )
{
CV_Error(CV_StsNotImplemented, "This method is not implemented for oclMat yet");
}
if( k == GPU_MAT )
return ((const cuda::GpuMat*)obj)->empty();
@ -1882,7 +1867,7 @@ bool _InputArray::isContinuous(int i) const
return vv[i].isContinuous();
}
CV_Error(CV_StsNotImplemented, "This method is not implemented for oclMat yet");
CV_Error(CV_StsNotImplemented, "Unknown/unsupported array type");
return false;
}

2
modules/core/src/ocl.cpp
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@ -3365,7 +3365,7 @@ protected:
{
CV_DbgAssert(entry.clBuffer_ == NULL);
entry.capacity_ = alignSize(size, (int)_allocationGranularity(size));
Context2& ctx = Context2::getDefault();
Context& ctx = Context::getDefault();
cl_int retval = CL_SUCCESS;
entry.clBuffer_ = clCreateBuffer((cl_context)ctx.ptr(), CL_MEM_READ_WRITE, entry.capacity_, 0, &retval);
CV_Assert(retval == CL_SUCCESS);

2
modules/core/src/opencl/mulspectrums.cl
View File

@ -25,7 +25,7 @@
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other oclMaterials provided with the distribution.
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.

2
modules/ts/include/opencv2/ts/ocl_perf.hpp
View File

@ -119,7 +119,7 @@ CV_EXPORTS void randu(InputOutputArray dst);
inline void safeFinish()
{
if (cv::ocl::useOpenCL())
cv::ocl::finish2();
cv::ocl::finish();
}
} // namespace perf

130
samples/gpu/super_resolution.cpp
View File

@ -10,14 +10,10 @@
#include "opencv2/superres/optical_flow.hpp"
#include "opencv2/opencv_modules.hpp"
#if defined(HAVE_OPENCV_OCL)
#include "opencv2/ocl/ocl.hpp"
#endif
using namespace std;
using namespace cv;
using namespace cv::superres;
bool useOclChanged;
#define MEASURE_TIME(op) \
{ \
TickMeter tm; \
@ -50,40 +46,11 @@ static Ptr<DenseOpticalFlowExt> createOptFlow(const string& name, bool useGpu)
else if (name == "pyrlk")
return createOptFlow_PyrLK_CUDA();
else
{
cerr << "Incorrect Optical Flow algorithm - " << name << endl;
}
return Ptr<DenseOpticalFlowExt>();
}
#if defined(HAVE_OPENCV_OCL)
static Ptr<DenseOpticalFlowExt> createOptFlow(const string& name)
{
if (name == "farneback")
{
return createOptFlow_Farneback_OCL();
}
else if (name == "simple")
{
useOclChanged = true;
std::cout<<"simple on OpenCL has not been implemented. Use CPU instead!\n";
return createOptFlow_Simple();
}
else if (name == "tvl1")
return createOptFlow_DualTVL1_OCL();
else if (name == "brox")
{
std::cout<<"brox has not been implemented!\n";
return Ptr<DenseOpticalFlowExt>();
}
else if (name == "pyrlk")
return createOptFlow_PyrLK_OCL();
else
{
cerr << "Incorrect Optical Flow algorithm - " << name << endl;
}
return Ptr<DenseOpticalFlowExt>();
}
#endif
int main(int argc, const char* argv[])
{
useOclChanged = false;
@ -94,7 +61,7 @@ int main(int argc, const char* argv[])
"{ i iterations | 180 | Iteration count }"
"{ t temporal | 4 | Radius of the temporal search area }"
"{ f flow | farneback | Optical flow algorithm (farneback, simple, tvl1, brox, pyrlk) }"
"{ g | false | CPU as default device, cuda for CUDA and ocl for OpenCL }"
"{ g | false | CPU as default device, cuda for CUDA }"
"{ h help | false | Print help message }"
);
@ -102,7 +69,7 @@ int main(int argc, const char* argv[])
{
cout << "This sample demonstrates Super Resolution algorithms for video sequence" << endl;
cmd.printMessage();
return 0;
return EXIT_SUCCESS;
}
const string inputVideoName = cmd.get<string>("video");
@ -115,60 +82,19 @@ int main(int argc, const char* argv[])
std::transform(gpuOption.begin(), gpuOption.end(), gpuOption.begin(), ::tolower);
bool useCuda = false;
bool useOcl = false;
if(gpuOption.compare("ocl") == 0)
useOcl = true;
else if(gpuOption.compare("cuda") == 0)
useCuda = true;
#ifndef HAVE_OPENCV_OCL
if(useOcl)
{
{
cout<<"OPENCL is not compiled\n";
return 0;
}
}
#endif
#if defined(HAVE_OPENCV_OCL)
if(useCuda)
{
CV_Assert(!useOcl);
}
#endif
bool useCuda = gpuOption.compare("cuda") == 0;
Ptr<SuperResolution> superRes;
#if defined(HAVE_OPENCV_OCL)
if(useOcl)
{
Ptr<DenseOpticalFlowExt> of = createOptFlow(optFlow);
if (of.empty())
exit(-1);
if(useOclChanged)
{
superRes = createSuperResolution_BTVL1();
useOcl = !useOcl;
}else
superRes = createSuperResolution_BTVL1_OCL();
superRes->set("opticalFlow", of);
}
if (useCuda)
superRes = createSuperResolution_BTVL1_CUDA();
else
#endif
{
if (useCuda)
superRes = createSuperResolution_BTVL1_CUDA();
else
superRes = createSuperResolution_BTVL1();
superRes = createSuperResolution_BTVL1();
Ptr<DenseOpticalFlowExt> of = createOptFlow(optFlow, useCuda);
Ptr<DenseOpticalFlowExt> of = createOptFlow(optFlow, useCuda);
if (of.empty())
exit(-1);
superRes->set("opticalFlow", of);
}
if (of.empty())
return EXIT_FAILURE;
superRes->set("opticalFlow", of);
superRes->set("scale", scale);
superRes->set("iterations", iterations);
@ -201,11 +127,7 @@ int main(int argc, const char* argv[])
cout << "Iterations : " << iterations << endl;
cout << "Temporal radius : " << temporalAreaRadius << endl;
cout << "Optical Flow : " << optFlow << endl;
#if defined(HAVE_OPENCV_OCL)
cout << "Mode : " << (useCuda ? "CUDA" : useOcl? "OpenCL" : "CPU") << endl;
#else
cout << "Mode : " << (useCuda ? "CUDA" : "CPU") << endl;
#endif
}
superRes->setInput(frameSource);
@ -217,32 +139,8 @@ int main(int argc, const char* argv[])
cout << '[' << setw(3) << i << "] : ";
Mat result;
#if defined(HAVE_OPENCV_OCL)
cv::ocl::oclMat result_;
MEASURE_TIME(superRes->nextFrame(result));
if(useOcl)
{
MEASURE_TIME(
{
superRes->nextFrame(result_);
ocl::finish();
});
}
else
#endif
{
MEASURE_TIME(superRes->nextFrame(result));
}
#ifdef HAVE_OPENCV_OCL
if(useOcl)
{
if(!result_.empty())
{
result_.download(result);
}
}
#endif
if (result.empty())
break;