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added more types support for gpu separable filters

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pull/258/merge
Vladislav Vinogradov 13 years ago
parent b689eca8a0
commit d94f08f0e7
16 changed files with 842 additions and 107 deletions
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  1. 53
      modules/gpu/src/cuda/column_filter.10.cu
  2. 53
      modules/gpu/src/cuda/column_filter.11.cu
  3. 53
      modules/gpu/src/cuda/column_filter.12.cu
  4. 53
      modules/gpu/src/cuda/column_filter.13.cu
  5. 53
      modules/gpu/src/cuda/column_filter.14.cu
  6. 53
      modules/gpu/src/cuda/column_filter.8.cu
  7. 53
      modules/gpu/src/cuda/column_filter.9.cu
  8. 53
      modules/gpu/src/cuda/row_filter.10.cu
  9. 53
      modules/gpu/src/cuda/row_filter.11.cu
  10. 53
      modules/gpu/src/cuda/row_filter.12.cu
  11. 53
      modules/gpu/src/cuda/row_filter.13.cu
  12. 53
      modules/gpu/src/cuda/row_filter.14.cu
  13. 53
      modules/gpu/src/cuda/row_filter.8.cu
  14. 53
      modules/gpu/src/cuda/row_filter.9.cu
  15. 124
      modules/gpu/src/filtering.cpp
  16. 69
      modules/gpu/test/test_filters.cpp

53
modules/gpu/src/cuda/column_filter.10.cu
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * 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 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.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "column_filter.h"
namespace filter
{
template void linearColumn<float, unsigned short>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
}
#endif /* CUDA_DISABLER */

53
modules/gpu/src/cuda/column_filter.11.cu
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * 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 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.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "column_filter.h"
namespace filter
{
template void linearColumn<float3, ushort3>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
}
#endif /* CUDA_DISABLER */

53
modules/gpu/src/cuda/column_filter.12.cu
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * 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 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.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "column_filter.h"
namespace filter
{
template void linearColumn<float4, ushort4>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
}
#endif /* CUDA_DISABLER */

53
modules/gpu/src/cuda/column_filter.13.cu
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * 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 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.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "column_filter.h"
namespace filter
{
template void linearColumn<float3, int3>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
}
#endif /* CUDA_DISABLER */

53
modules/gpu/src/cuda/column_filter.14.cu
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * 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 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.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "column_filter.h"
namespace filter
{
template void linearColumn<float4, int4>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
}
#endif /* CUDA_DISABLER */

53
modules/gpu/src/cuda/column_filter.8.cu
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * 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 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.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "column_filter.h"
namespace filter
{
template void linearColumn<float, short>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
}
#endif /* CUDA_DISABLER */

53
modules/gpu/src/cuda/column_filter.9.cu
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * 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 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.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "column_filter.h"
namespace filter
{
template void linearColumn<float4, short4>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
}
#endif /* CUDA_DISABLER */

53
modules/gpu/src/cuda/row_filter.10.cu
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * 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 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.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "row_filter.h"
namespace filter
{
template void linearRow<unsigned short, float>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
}
#endif /* CUDA_DISABLER */

53
modules/gpu/src/cuda/row_filter.11.cu
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * 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 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.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "row_filter.h"
namespace filter
{
template void linearRow<ushort3, float3>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
}
#endif /* CUDA_DISABLER */

53
modules/gpu/src/cuda/row_filter.12.cu
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * 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 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.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "row_filter.h"
namespace filter
{
template void linearRow<ushort4, float4>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
}
#endif /* CUDA_DISABLER */

53
modules/gpu/src/cuda/row_filter.13.cu
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * 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 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.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "row_filter.h"
namespace filter
{
template void linearRow<int3, float3>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
}
#endif /* CUDA_DISABLER */

53
modules/gpu/src/cuda/row_filter.14.cu
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * 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 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.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "row_filter.h"
namespace filter
{
template void linearRow<int4, float4>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
}
#endif /* CUDA_DISABLER */

53
modules/gpu/src/cuda/row_filter.8.cu
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@ -0,0 +1,53 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * 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 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.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "row_filter.h"
namespace filter
{
template void linearRow<short, float>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
}
#endif /* CUDA_DISABLER */

53
modules/gpu/src/cuda/row_filter.9.cu
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@ -0,0 +1,53 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * 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 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.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "row_filter.h"
namespace filter
{
template void linearRow<short4, float4>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
}
#endif /* CUDA_DISABLER */

124
modules/gpu/src/filtering.cpp
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@ -893,7 +893,20 @@ namespace
Ptr<BaseRowFilter_GPU> cv::gpu::getLinearRowFilter_GPU(int srcType, int bufType, const Mat& rowKernel, int anchor, int borderType) Ptr<BaseRowFilter_GPU> cv::gpu::getLinearRowFilter_GPU(int srcType, int bufType, const Mat& rowKernel, int anchor, int borderType)
{ {
static const nppFilter1D_t nppFilter1D_callers[] = {0, nppiFilterRow_8u_C1R, 0, 0, nppiFilterRow_8u_C4R}; static const gpuFilter1D_t funcs[7][4] =
{
{filter::linearRow<uchar, float>, 0, filter::linearRow<uchar3, float3>, filter::linearRow<uchar4, float4>},
{0, 0, 0, 0},
{filter::linearRow<ushort, float>, 0, filter::linearRow<ushort3, float3>, filter::linearRow<ushort4, float4>},
{filter::linearRow<short, float>, 0, filter::linearRow<short3, float3>, filter::linearRow<short4, float4>},
{filter::linearRow<int, float>, 0, filter::linearRow<int3, float3>, filter::linearRow<int4, float4>},
{filter::linearRow<float, float>, 0, filter::linearRow<float3, float3>, filter::linearRow<float4, float4>},
{0, 0, 0, 0}
};
static const nppFilter1D_t npp_funcs[] =
{
0, nppiFilterRow_8u_C1R, 0, 0, nppiFilterRow_8u_C4R
};
if ((bufType == srcType) && (srcType == CV_8UC1 || srcType == CV_8UC4)) if ((bufType == srcType) && (srcType == CV_8UC1 || srcType == CV_8UC4))
{ {
@ -903,60 +916,33 @@ Ptr<BaseRowFilter_GPU> cv::gpu::getLinearRowFilter_GPU(int srcType, int bufType,
int nDivisor; int nDivisor;
normalizeKernel(rowKernel, gpu_row_krnl, CV_32S, &nDivisor, true); normalizeKernel(rowKernel, gpu_row_krnl, CV_32S, &nDivisor, true);
int ksize = gpu_row_krnl.cols; const int ksize = gpu_row_krnl.cols;
normalizeAnchor(anchor, ksize); normalizeAnchor(anchor, ksize);
return Ptr<BaseRowFilter_GPU>(new NppLinearRowFilter(ksize, anchor, gpu_row_krnl, nDivisor, return Ptr<BaseRowFilter_GPU>(new NppLinearRowFilter(ksize, anchor, gpu_row_krnl, nDivisor, npp_funcs[CV_MAT_CN(srcType)]));
nppFilter1D_callers[CV_MAT_CN(srcType)]));
} }
CV_Assert( borderType == BORDER_REFLECT101 || borderType == BORDER_REPLICATE || borderType == BORDER_CONSTANT || borderType == BORDER_REFLECT || borderType == BORDER_WRAP ); CV_Assert( borderType == BORDER_REFLECT101 || borderType == BORDER_REPLICATE || borderType == BORDER_CONSTANT || borderType == BORDER_REFLECT || borderType == BORDER_WRAP );
int gpuBorderType; int gpuBorderType;
CV_Assert( tryConvertToGpuBorderType(borderType, gpuBorderType) ); CV_Assert( tryConvertToGpuBorderType(borderType, gpuBorderType) );
CV_Assert(srcType == CV_8UC1 || srcType == CV_8UC3 || srcType == CV_8UC4 || srcType == CV_16SC3 || srcType == CV_32SC1 || srcType == CV_32FC1 || srcType == CV_32FC3 || srcType == CV_32FC4); const int sdepth = CV_MAT_DEPTH(srcType);
const int cn = CV_MAT_CN(srcType);
CV_Assert( sdepth <= CV_64F && cn <= 4 );
CV_Assert( CV_MAT_DEPTH(bufType) == CV_32F && CV_MAT_CN(bufType) == cn );
CV_Assert(CV_MAT_DEPTH(bufType) == CV_32F && CV_MAT_CN(srcType) == CV_MAT_CN(bufType)); const gpuFilter1D_t func = funcs[sdepth][cn - 1];
CV_Assert( func != 0 );
GpuMat gpu_row_krnl; GpuMat gpu_row_krnl;
normalizeKernel(rowKernel, gpu_row_krnl, CV_32F); normalizeKernel(rowKernel, gpu_row_krnl, CV_32F);
int ksize = gpu_row_krnl.cols; const int ksize = gpu_row_krnl.cols;
CV_Assert( ksize > 0 && ksize <= 32 ); CV_Assert( ksize > 0 && ksize <= 32 );
normalizeAnchor(anchor, ksize); normalizeAnchor(anchor, ksize);
gpuFilter1D_t func = 0;
switch (srcType)
{
case CV_8UC1:
func = filter::linearRow<uchar, float>;
break;
case CV_8UC3:
func = filter::linearRow<uchar3, float3>;
break;
case CV_8UC4:
func = filter::linearRow<uchar4, float4>;
break;
case CV_16SC3:
func = filter::linearRow<short3, float3>;
break;
case CV_32SC1:
func = filter::linearRow<int, float>;
break;
case CV_32FC1:
func = filter::linearRow<float, float>;
break;
case CV_32FC3:
func = filter::linearRow<float3, float3>;
break;
case CV_32FC4:
func = filter::linearRow<float4, float4>;
break;
}
return Ptr<BaseRowFilter_GPU>(new GpuLinearRowFilter(ksize, anchor, gpu_row_krnl, func, gpuBorderType)); return Ptr<BaseRowFilter_GPU>(new GpuLinearRowFilter(ksize, anchor, gpu_row_krnl, func, gpuBorderType));
} }
@ -1012,7 +998,20 @@ namespace
Ptr<BaseColumnFilter_GPU> cv::gpu::getLinearColumnFilter_GPU(int bufType, int dstType, const Mat& columnKernel, int anchor, int borderType) Ptr<BaseColumnFilter_GPU> cv::gpu::getLinearColumnFilter_GPU(int bufType, int dstType, const Mat& columnKernel, int anchor, int borderType)
{ {
static const nppFilter1D_t nppFilter1D_callers[] = {0, nppiFilterColumn_8u_C1R, 0, 0, nppiFilterColumn_8u_C4R}; static const gpuFilter1D_t funcs[7][4] =
{
{filter::linearColumn<float, uchar>, 0, filter::linearColumn<float3, uchar3>, filter::linearColumn<float4, uchar4>},
{0, 0, 0, 0},
{filter::linearColumn<float, ushort>, 0, filter::linearColumn<float3, ushort3>, filter::linearColumn<float4, ushort4>},
{filter::linearColumn<float, short>, 0, filter::linearColumn<float3, short3>, filter::linearColumn<float4, short4>},
{filter::linearColumn<float, int>, 0, filter::linearColumn<float3, int3>, filter::linearColumn<float4, int4>},
{filter::linearColumn<float, float>, 0, filter::linearColumn<float3, float3>, filter::linearColumn<float4, float4>},
{0, 0, 0, 0}
};
static const nppFilter1D_t npp_funcs[] =
{
0, nppiFilterColumn_8u_C1R, 0, 0, nppiFilterColumn_8u_C4R
};
if ((bufType == dstType) && (bufType == CV_8UC1 || bufType == CV_8UC4)) if ((bufType == dstType) && (bufType == CV_8UC1 || bufType == CV_8UC4))
{ {
@ -1022,60 +1021,33 @@ Ptr<BaseColumnFilter_GPU> cv::gpu::getLinearColumnFilter_GPU(int bufType, int ds
int nDivisor; int nDivisor;
normalizeKernel(columnKernel, gpu_col_krnl, CV_32S, &nDivisor, true); normalizeKernel(columnKernel, gpu_col_krnl, CV_32S, &nDivisor, true);
int ksize = gpu_col_krnl.cols; const int ksize = gpu_col_krnl.cols;
normalizeAnchor(anchor, ksize); normalizeAnchor(anchor, ksize);
return Ptr<BaseColumnFilter_GPU>(new NppLinearColumnFilter(ksize, anchor, gpu_col_krnl, nDivisor, return Ptr<BaseColumnFilter_GPU>(new NppLinearColumnFilter(ksize, anchor, gpu_col_krnl, nDivisor, npp_funcs[CV_MAT_CN(bufType)]));
nppFilter1D_callers[CV_MAT_CN(bufType)]));
} }
CV_Assert( borderType == BORDER_REFLECT101 || borderType == BORDER_REPLICATE || borderType == BORDER_CONSTANT || borderType == BORDER_REFLECT || borderType == BORDER_WRAP ); CV_Assert( borderType == BORDER_REFLECT101 || borderType == BORDER_REPLICATE || borderType == BORDER_CONSTANT || borderType == BORDER_REFLECT || borderType == BORDER_WRAP );
int gpuBorderType; int gpuBorderType;
CV_Assert( tryConvertToGpuBorderType(borderType, gpuBorderType) ); CV_Assert( tryConvertToGpuBorderType(borderType, gpuBorderType) );
CV_Assert(dstType == CV_8UC1 || dstType == CV_8UC3 || dstType == CV_8UC4 || dstType == CV_16SC3 || dstType == CV_32SC1 || dstType == CV_32FC1 || dstType == CV_32FC3 || dstType == CV_32FC4); const int ddepth = CV_MAT_DEPTH(dstType);
const int cn = CV_MAT_CN(dstType);
CV_Assert( ddepth <= CV_64F && cn <= 4 );
CV_Assert( CV_MAT_DEPTH(bufType) == CV_32F && CV_MAT_CN(bufType) == cn );
CV_Assert(CV_MAT_DEPTH(bufType) == CV_32F && CV_MAT_CN(dstType) == CV_MAT_CN(bufType)); gpuFilter1D_t func = funcs[ddepth][cn - 1];
CV_Assert( func != 0 );
GpuMat gpu_col_krnl; GpuMat gpu_col_krnl;
normalizeKernel(columnKernel, gpu_col_krnl, CV_32F); normalizeKernel(columnKernel, gpu_col_krnl, CV_32F);
int ksize = gpu_col_krnl.cols; const int ksize = gpu_col_krnl.cols;
CV_Assert(ksize > 0 && ksize <= 32); CV_Assert(ksize > 0 && ksize <= 32);
normalizeAnchor(anchor, ksize); normalizeAnchor(anchor, ksize);
gpuFilter1D_t func = 0;
switch (dstType)
{
case CV_8UC1:
func = filter::linearColumn<float, uchar>;
break;
case CV_8UC3:
func = filter::linearColumn<float3, uchar3>;
break;
case CV_8UC4:
func = filter::linearColumn<float4, uchar4>;
break;
case CV_16SC3:
func = filter::linearColumn<float3, short3>;
break;
case CV_32SC1:
func = filter::linearColumn<float, int>;
break;
case CV_32FC1:
func = filter::linearColumn<float, float>;
break;
case CV_32FC3:
func = filter::linearColumn<float3, float3>;
break;
case CV_32FC4:
func = filter::linearColumn<float4, float4>;
break;
}
return Ptr<BaseColumnFilter_GPU>(new GpuLinearColumnFilter(ksize, anchor, gpu_col_krnl, func, gpuBorderType)); return Ptr<BaseColumnFilter_GPU>(new GpuLinearColumnFilter(ksize, anchor, gpu_col_krnl, func, gpuBorderType));
} }

69
modules/gpu/test/test_filters.cpp
Unescape View File

@ -113,29 +113,35 @@ INSTANTIATE_TEST_CASE_P(GPU_Filter, Blur, testing::Combine(
IMPLEMENT_PARAM_CLASS(Deriv_X, int) IMPLEMENT_PARAM_CLASS(Deriv_X, int)
IMPLEMENT_PARAM_CLASS(Deriv_Y, int) IMPLEMENT_PARAM_CLASS(Deriv_Y, int)
PARAM_TEST_CASE(Sobel, cv::gpu::DeviceInfo, cv::Size, MatType, KSize, Deriv_X, Deriv_Y, BorderType, UseRoi) PARAM_TEST_CASE(Sobel, cv::gpu::DeviceInfo, cv::Size, MatDepth, Channels, KSize, Deriv_X, Deriv_Y, BorderType, UseRoi)
{ {
cv::gpu::DeviceInfo devInfo; cv::gpu::DeviceInfo devInfo;
cv::Size size; cv::Size size;
int type; int depth;
int cn;
cv::Size ksize; cv::Size ksize;
int dx; int dx;
int dy; int dy;
int borderType; int borderType;
bool useRoi; bool useRoi;
int type;
virtual void SetUp() virtual void SetUp()
{ {
devInfo = GET_PARAM(0); devInfo = GET_PARAM(0);
size = GET_PARAM(1); size = GET_PARAM(1);
type = GET_PARAM(2); depth = GET_PARAM(2);
ksize = GET_PARAM(3); cn = GET_PARAM(3);
dx = GET_PARAM(4); ksize = GET_PARAM(4);
dy = GET_PARAM(5); dx = GET_PARAM(5);
borderType = GET_PARAM(6); dy = GET_PARAM(6);
useRoi = GET_PARAM(7); borderType = GET_PARAM(7);
useRoi = GET_PARAM(8);
cv::gpu::setDevice(devInfo.deviceID()); cv::gpu::setDevice(devInfo.deviceID());
type = CV_MAKE_TYPE(depth, cn);
} }
}; };
@ -158,7 +164,8 @@ TEST_P(Sobel, Accuracy)
INSTANTIATE_TEST_CASE_P(GPU_Filter, Sobel, testing::Combine( INSTANTIATE_TEST_CASE_P(GPU_Filter, Sobel, testing::Combine(
ALL_DEVICES, ALL_DEVICES,
DIFFERENT_SIZES, DIFFERENT_SIZES,
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)), testing::Values(MatDepth(CV_8U), MatDepth(CV_16U), MatDepth(CV_16S), MatDepth(CV_32F)),
IMAGE_CHANNELS,
testing::Values(KSize(cv::Size(3, 3)), KSize(cv::Size(5, 5)), KSize(cv::Size(7, 7))), testing::Values(KSize(cv::Size(3, 3)), KSize(cv::Size(5, 5)), KSize(cv::Size(7, 7))),
testing::Values(Deriv_X(0), Deriv_X(1), Deriv_X(2)), testing::Values(Deriv_X(0), Deriv_X(1), Deriv_X(2)),
testing::Values(Deriv_Y(0), Deriv_Y(1), Deriv_Y(2)), testing::Values(Deriv_Y(0), Deriv_Y(1), Deriv_Y(2)),
@ -171,27 +178,33 @@ INSTANTIATE_TEST_CASE_P(GPU_Filter, Sobel, testing::Combine(
///////////////////////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////////////////
// Scharr // Scharr
PARAM_TEST_CASE(Scharr, cv::gpu::DeviceInfo, cv::Size, MatType, Deriv_X, Deriv_Y, BorderType, UseRoi) PARAM_TEST_CASE(Scharr, cv::gpu::DeviceInfo, cv::Size, MatDepth, Channels, Deriv_X, Deriv_Y, BorderType, UseRoi)
{ {
cv::gpu::DeviceInfo devInfo; cv::gpu::DeviceInfo devInfo;
cv::Size size; cv::Size size;
int type; int depth;
int cn;
int dx; int dx;
int dy; int dy;
int borderType; int borderType;
bool useRoi; bool useRoi;
int type;
virtual void SetUp() virtual void SetUp()
{ {
devInfo = GET_PARAM(0); devInfo = GET_PARAM(0);
size = GET_PARAM(1); size = GET_PARAM(1);
type = GET_PARAM(2); depth = GET_PARAM(2);
dx = GET_PARAM(3); cn = GET_PARAM(3);
dy = GET_PARAM(4); dx = GET_PARAM(4);
borderType = GET_PARAM(5); dy = GET_PARAM(5);
useRoi = GET_PARAM(6); borderType = GET_PARAM(6);
useRoi = GET_PARAM(7);
cv::gpu::setDevice(devInfo.deviceID()); cv::gpu::setDevice(devInfo.deviceID());
type = CV_MAKE_TYPE(depth, cn);
} }
}; };
@ -214,7 +227,8 @@ TEST_P(Scharr, Accuracy)
INSTANTIATE_TEST_CASE_P(GPU_Filter, Scharr, testing::Combine( INSTANTIATE_TEST_CASE_P(GPU_Filter, Scharr, testing::Combine(
ALL_DEVICES, ALL_DEVICES,
DIFFERENT_SIZES, DIFFERENT_SIZES,
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)), testing::Values(MatDepth(CV_8U), MatDepth(CV_16U), MatDepth(CV_16S), MatDepth(CV_32F)),
IMAGE_CHANNELS,
testing::Values(Deriv_X(0), Deriv_X(1)), testing::Values(Deriv_X(0), Deriv_X(1)),
testing::Values(Deriv_Y(0), Deriv_Y(1)), testing::Values(Deriv_Y(0), Deriv_Y(1)),
testing::Values(BorderType(cv::BORDER_REFLECT101), testing::Values(BorderType(cv::BORDER_REFLECT101),
@ -226,25 +240,31 @@ INSTANTIATE_TEST_CASE_P(GPU_Filter, Scharr, testing::Combine(
///////////////////////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////////////////
// GaussianBlur // GaussianBlur
PARAM_TEST_CASE(GaussianBlur, cv::gpu::DeviceInfo, cv::Size, MatType, KSize, BorderType, UseRoi) PARAM_TEST_CASE(GaussianBlur, cv::gpu::DeviceInfo, cv::Size, MatDepth, Channels, KSize, BorderType, UseRoi)
{ {
cv::gpu::DeviceInfo devInfo; cv::gpu::DeviceInfo devInfo;
cv::Size size; cv::Size size;
int type; int depth;
int cn;
cv::Size ksize; cv::Size ksize;
int borderType; int borderType;
bool useRoi; bool useRoi;
int type;
virtual void SetUp() virtual void SetUp()
{ {
devInfo = GET_PARAM(0); devInfo = GET_PARAM(0);
size = GET_PARAM(1); size = GET_PARAM(1);
type = GET_PARAM(2); depth = GET_PARAM(2);
ksize = GET_PARAM(3); cn = GET_PARAM(3);
borderType = GET_PARAM(4); ksize = GET_PARAM(4);
useRoi = GET_PARAM(5); borderType = GET_PARAM(5);
useRoi = GET_PARAM(6);
cv::gpu::setDevice(devInfo.deviceID()); cv::gpu::setDevice(devInfo.deviceID());
type = CV_MAKE_TYPE(depth, cn);
} }
}; };
@ -281,7 +301,8 @@ TEST_P(GaussianBlur, Accuracy)
INSTANTIATE_TEST_CASE_P(GPU_Filter, GaussianBlur, testing::Combine( INSTANTIATE_TEST_CASE_P(GPU_Filter, GaussianBlur, testing::Combine(
ALL_DEVICES, ALL_DEVICES,
DIFFERENT_SIZES, DIFFERENT_SIZES,
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)), testing::Values(MatDepth(CV_8U), MatDepth(CV_16U), MatDepth(CV_16S), MatDepth(CV_32F)),
IMAGE_CHANNELS,
testing::Values(KSize(cv::Size(3, 3)), testing::Values(KSize(cv::Size(3, 3)),
KSize(cv::Size(5, 5)), KSize(cv::Size(5, 5)),
KSize(cv::Size(7, 7)), KSize(cv::Size(7, 7)),

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