small fixes

pull/2382/head
Ilya Lavrenov 11 years ago
parent 8bf616e4c7
commit c7857e8c13
  1. 2
      modules/photo/perf/opencl/perf_denoising.cpp
  2. 13
      modules/photo/src/fast_nlmeans_denoising_opencl.hpp
  3. 2
      modules/photo/src/opencl/nlmeans.cl
  4. 45
      modules/photo/test/ocl/test_denoising.cpp

@ -42,7 +42,7 @@ OCL_PERF_TEST(Photo, DenoisingColored)
OCL_TEST_CYCLE()
cv::fastNlMeansDenoisingColored(original, result, 10, 10);
SANITY_CHECK(result);
SANITY_CHECK(result, 2);
}
OCL_PERF_TEST(Photo, DISABLED_DenoisingGrayscaleMulti)

@ -9,20 +9,20 @@
#define __OPENCV_FAST_NLMEANS_DENOISING_OPENCL_HPP__
#include "precomp.hpp"
#define CV_OPENCL_RUN_ASSERT
#include "opencl_kernels.hpp"
#ifdef HAVE_OPENCL
namespace cv {
enum
{
BLOCK_ROWS = 32,
BLOCK_COLS = 128,
BLOCK_COLS = 32,
CTA_SIZE = 256
};
static inline int getNearestPowerOf2(int value)
static inline int getNearestPowerOf2OpenCL(int value)
{
int p = 0;
while (1 << p < value)
@ -51,7 +51,7 @@ static bool ocl_calcAlmostDist2Weight(UMat & almostDist2Weight, int searchWindow
// additional optimization of precalced weights to replace division(averaging) by binary shift
CV_Assert(templateWindowSize <= 46340); // sqrt(INT_MAX)
int templateWindowSizeSq = templateWindowSize * templateWindowSize;
almostTemplateWindowSizeSqBinShift = getNearestPowerOf2(templateWindowSizeSq);
almostTemplateWindowSizeSqBinShift = getNearestPowerOf2OpenCL(templateWindowSizeSq);
FT almostDist2ActualDistMultiplier = (FT)(1 << almostTemplateWindowSizeSqBinShift) / templateWindowSizeSq;
const FT WEIGHT_THRESHOLD = 1e-3f;
@ -128,7 +128,7 @@ static bool ocl_fastNlMeansDenoising(InputArray _src, OutputArray _dst, float h,
ocl::KernelArg::PtrReadOnly(almostDist2Weight),
ocl::KernelArg::PtrReadOnly(buffer), almostTemplateWindowSizeSqBinShift);
size_t globalsize[2] = { nblocksx * BLOCK_COLS, nblocksy * BLOCK_ROWS }, localsize[2] = { CTA_SIZE, 1 };
size_t globalsize[2] = { nblocksx * CTA_SIZE, nblocksy }, localsize[2] = { CTA_SIZE, 1 };
return k.run(2, globalsize, localsize, false);
}
@ -167,3 +167,4 @@ static bool ocl_fastNlMeansDenoisingColored( InputArray _src, OutputArray _dst,
}
#endif
#endif

@ -115,8 +115,6 @@ inline void calcFirstElementInRow(__global const uchar * src, int src_step, int
for (int j = 0; j < TEMPLATE_SIZE; ++j)
col_dists_current[j] = col_dists_current_private[j];
// COND printf("%d %d\n", i, convert_int(dist));
dists[i] = dist;
up_col_dists[0 + i] = col_dists[TEMPLATE_SIZE - 1];
}

@ -1,44 +1,9 @@
/*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.
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
// Copyright (C) 2014, Advanced Micro Devices, Inc., 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.
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// * The name of the copyright holders may not be used to endorse or promote products
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//
// This software is provided by the copyright holders and contributors "as is" and
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// 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,
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//M*/
#include "test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"

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