driver_api_stereo_multi sample reworked to use parallel_for_ instead of parallel_do
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@@ -13,25 +13,12 @@
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/gpu/gpu.hpp"
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#include "opencv2/gpu/gpu.hpp"
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#if !defined(HAVE_CUDA) || !defined(HAVE_TBB) || defined(__arm__)
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#if defined(__arm__)
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int main()
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int main()
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{
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{
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#if !defined(HAVE_CUDA)
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std::cout << "CUDA support is required (CMake key 'WITH_CUDA' must be true).\n";
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#endif
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#if !defined(HAVE_TBB)
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std::cout << "TBB support is required (CMake key 'WITH_TBB' must be true).\n";
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#endif
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#if defined(__arm__)
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std::cout << "Unsupported for ARM CUDA library." << std::endl;
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std::cout << "Unsupported for ARM CUDA library." << std::endl;
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#endif
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return 0;
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return 0;
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}
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}
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#else
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#else
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#include <cuda.h>
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#include <cuda.h>
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@@ -42,7 +29,6 @@ using namespace std;
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using namespace cv;
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using namespace cv;
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using namespace cv::gpu;
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using namespace cv::gpu;
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struct Worker { void operator()(int device_id) const; };
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void destroyContexts();
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void destroyContexts();
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#define safeCall(expr) safeCall_(expr, #expr, __FILE__, __LINE__)
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#define safeCall(expr) safeCall_(expr, #expr, __FILE__, __LINE__)
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@@ -77,6 +63,27 @@ GpuMat d_right[2];
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StereoBM_GPU* bm[2];
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StereoBM_GPU* bm[2];
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GpuMat d_result[2];
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GpuMat d_result[2];
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struct Worker: public ParallelLoopBody
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{
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virtual void operator() (const Range& range) const
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{
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for (int device_id = range.start; device_id != range.end; ++device_id)
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{
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contextOn(device_id);
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bm[device_id]->operator()(d_left[device_id], d_right[device_id],
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d_result[device_id]);
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std::cout << "GPU #" << device_id << " (" << DeviceInfo().name()
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<< "): finished\n";
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contextOff();
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}
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}
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};
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static void printHelp()
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static void printHelp()
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{
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{
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std::cout << "Usage: driver_api_stereo_multi_gpu --left <left_image> --right <right_image>\n";
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std::cout << "Usage: driver_api_stereo_multi_gpu --left <left_image> --right <right_image>\n";
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@@ -162,8 +169,7 @@ int main(int argc, char** argv)
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contextOff();
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contextOff();
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// Execute calculation in two threads using two GPUs
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// Execute calculation in two threads using two GPUs
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int devices[] = {0, 1};
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parallel_for_(cv::Range(0, 2, Worker());
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parallel_do(devices, devices + 2, Worker());
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// Release the first GPU resources
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// Release the first GPU resources
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contextOn(0);
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contextOn(0);
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@@ -188,21 +194,6 @@ int main(int argc, char** argv)
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return 0;
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return 0;
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}
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}
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void Worker::operator()(int device_id) const
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{
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contextOn(device_id);
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bm[device_id]->operator()(d_left[device_id], d_right[device_id],
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d_result[device_id]);
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std::cout << "GPU #" << device_id << " (" << DeviceInfo().name()
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<< "): finished\n";
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contextOff();
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}
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void destroyContexts()
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void destroyContexts()
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{
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{
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safeCall(cuCtxDestroy(contexts[0]));
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safeCall(cuCtxDestroy(contexts[0]));
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