generic-library/opencv
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moved common gpu utility functionality to gpu_private.hpp

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This commit is contained in:
Vladislav Vinogradov
2013-04-03 17:09:31 +04:00
parent 28b1e81883
commit 204a19b431
117 changed files with 1670 additions and 1721 deletions
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28
modules/gpu/src/cascadeclassifier.cpp
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@@ -49,15 +49,15 @@ using namespace cv::gpu;
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
cv::gpu::CascadeClassifier_GPU::CascadeClassifier_GPU() { throw_nogpu(); }
cv::gpu::CascadeClassifier_GPU::CascadeClassifier_GPU(const String&) { throw_nogpu(); }
cv::gpu::CascadeClassifier_GPU::~CascadeClassifier_GPU() { throw_nogpu(); }
bool cv::gpu::CascadeClassifier_GPU::empty() const { throw_nogpu(); return true; }
bool cv::gpu::CascadeClassifier_GPU::load(const String&) { throw_nogpu(); return true; }
Size cv::gpu::CascadeClassifier_GPU::getClassifierSize() const { throw_nogpu(); return Size();}
void cv::gpu::CascadeClassifier_GPU::release() { throw_nogpu(); }
int cv::gpu::CascadeClassifier_GPU::detectMultiScale( const GpuMat&, GpuMat&, double, int, Size) {throw_nogpu(); return -1;}
int cv::gpu::CascadeClassifier_GPU::detectMultiScale( const GpuMat&, GpuMat&, Size, Size, double, int) {throw_nogpu(); return -1;}
cv::gpu::CascadeClassifier_GPU::CascadeClassifier_GPU() { throw_no_cuda(); }
cv::gpu::CascadeClassifier_GPU::CascadeClassifier_GPU(const String&) { throw_no_cuda(); }
cv::gpu::CascadeClassifier_GPU::~CascadeClassifier_GPU() { throw_no_cuda(); }
bool cv::gpu::CascadeClassifier_GPU::empty() const { throw_no_cuda(); return true; }
bool cv::gpu::CascadeClassifier_GPU::load(const String&) { throw_no_cuda(); return true; }
Size cv::gpu::CascadeClassifier_GPU::getClassifierSize() const { throw_no_cuda(); return Size();}
void cv::gpu::CascadeClassifier_GPU::release() { throw_no_cuda(); }
int cv::gpu::CascadeClassifier_GPU::detectMultiScale( const GpuMat&, GpuMat&, double, int, Size) {throw_no_cuda(); return -1;}
int cv::gpu::CascadeClassifier_GPU::detectMultiScale( const GpuMat&, GpuMat&, Size, Size, double, int) {throw_no_cuda(); return -1;}
#else
@@ -403,7 +403,7 @@ public:
unsigned int classified = 0;
GpuMat dclassified(1, 1, CV_32S);
cudaSafeCall( cudaMemcpy(dclassified.ptr(), &classified, sizeof(int), cudaMemcpyHostToDevice) );
cvCudaSafeCall( cudaMemcpy(dclassified.ptr(), &classified, sizeof(int), cudaMemcpyHostToDevice) );
PyrLavel level(0, 1.0f, image.size(), NxM, minObjectSize);
@@ -448,11 +448,11 @@ public:
if (groupThreshold <= 0 || objects.empty())
return 0;
cudaSafeCall( cudaMemcpy(&classified, dclassified.ptr(), sizeof(int), cudaMemcpyDeviceToHost) );
cvCudaSafeCall( cudaMemcpy(&classified, dclassified.ptr(), sizeof(int), cudaMemcpyDeviceToHost) );
cuda::lbp::connectedConmonents(candidates, classified, objects, groupThreshold, grouping_eps, dclassified.ptr<unsigned int>());
cudaSafeCall( cudaMemcpy(&classified, dclassified.ptr(), sizeof(int), cudaMemcpyDeviceToHost) );
cudaSafeCall( cudaDeviceSynchronize() );
cvCudaSafeCall( cudaMemcpy(&classified, dclassified.ptr(), sizeof(int), cudaMemcpyDeviceToHost) );
cvCudaSafeCall( cudaDeviceSynchronize() );
return classified;
}
@@ -481,7 +481,7 @@ private:
roiSize.height = frame.height;
cudaDeviceProp prop;
cudaSafeCall( cudaGetDeviceProperties(&prop, cv::gpu::getDevice()) );
cvCudaSafeCall( cudaGetDeviceProperties(&prop, cv::gpu::getDevice()) );
Ncv32u bufSize;
ncvSafeCall( nppiStIntegralGetSize_8u32u(roiSize, &bufSize, prop) );