From: Vladislav Vinogradov <vlad.vinogradov@itseez.com>
Date: Wed, 24 Dec 2014 10:33:17 +0000 (+0300)
Subject: add auxiliary functions to work with Input/Output arrays:
X-Git-Tag: accepted/tizen/6.0/unified/20201030.111113~2738^2~5
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=00e7816c1bf177887e4645ee2afa811bc72a395a;p=platform%2Fupstream%2Fopencv.git

add auxiliary functions to work with Input/Output arrays:

they allow to perform asynchronous upload/download into temporary buffer
to get valid GpuMat object
---

diff --git a/modules/core/include/opencv2/core/private.cuda.hpp b/modules/core/include/opencv2/core/private.cuda.hpp
index a97388b..aaa777c 100644
--- a/modules/core/include/opencv2/core/private.cuda.hpp
+++ b/modules/core/include/opencv2/core/private.cuda.hpp
@@ -106,6 +106,16 @@ namespace cv { namespace cuda
         GpuMat::Allocator* allocator_;
     };
 
+    CV_EXPORTS GpuMat getInputMat(InputArray _src, Stream& stream);
+
+    CV_EXPORTS GpuMat getOutputMat(OutputArray _dst, int rows, int cols, int type, Stream& stream);
+    static inline GpuMat getOutputMat(OutputArray _dst, Size size, int type, Stream& stream)
+    {
+        return getOutputMat(_dst, size.height, size.width, type, stream);
+    }
+
+    CV_EXPORTS void syncOutput(const GpuMat& dst, OutputArray _dst, Stream& stream);
+
     static inline void checkNppError(int code, const char* file, const int line, const char* func)
     {
         if (code < 0)
diff --git a/modules/core/src/cuda_gpu_mat.cpp b/modules/core/src/cuda_gpu_mat.cpp
index 4440d58..8a7b236 100644
--- a/modules/core/src/cuda_gpu_mat.cpp
+++ b/modules/core/src/cuda_gpu_mat.cpp
@@ -342,6 +342,53 @@ void cv::cuda::ensureSizeIsEnough(int rows, int cols, int type, OutputArray arr)
     }
 }
 
+GpuMat cv::cuda::getInputMat(InputArray _src, Stream& stream)
+{
+    GpuMat src;
+
+    if (_src.kind() == _InputArray::CUDA_GPU_MAT)
+    {
+        src = _src.getGpuMat();
+    }
+    else if (!_src.empty())
+    {
+        BufferPool pool(stream);
+        src = pool.getBuffer(_src.size(), _src.type());
+        src.upload(_src, stream);
+    }
+
+    return src;
+}
+
+GpuMat cv::cuda::getOutputMat(OutputArray _dst, int rows, int cols, int type, Stream& stream)
+{
+    GpuMat dst;
+
+    if (_dst.kind() == _InputArray::CUDA_GPU_MAT)
+    {
+        _dst.create(rows, cols, type);
+        dst = _dst.getGpuMat();
+    }
+    else
+    {
+        BufferPool pool(stream);
+        dst = pool.getBuffer(rows, cols, type);
+    }
+
+    return dst;
+}
+
+void cv::cuda::syncOutput(const GpuMat& dst, OutputArray _dst, Stream& stream)
+{
+    if (_dst.kind() != _InputArray::CUDA_GPU_MAT)
+    {
+        if (stream)
+            dst.download(_dst, stream);
+        else
+            dst.download(_dst);
+    }
+}
+
 #ifndef HAVE_CUDA
 
 GpuMat::Allocator* cv::cuda::GpuMat::defaultAllocator()