mirror of https://github.com/opencv/opencv.git
Ilya Lavrenov
11 years ago
parent
fff5a6c058
commit
7c96d98a24
5 changed files with 421 additions and 26 deletions
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// This file is part of OpenCV project. |
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// It is subject to the license terms in the LICENSE file found in the top-level directory |
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// of this distribution and at http://opencv.org/license.html. |
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// Copyright (C) 2014, Advanced Micro Devices, Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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#ifdef DOUBLE_SUPPORT |
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#ifdef cl_amd_fp64 |
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#pragma OPENCL EXTENSION cl_amd_fp64:enable |
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#elif defined (cl_khr_fp64) |
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#pragma OPENCL EXTENSION cl_khr_fp64:enable |
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#endif |
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#endif |
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__kernel void accumulate(__global const uchar * srcptr, int src_step, int src_offset, |
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#ifdef ACCUMULATE_PRODUCT |
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__global const uchar * src2ptr, int src2_step, int src2_offset, |
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#endif |
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__global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols |
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#ifdef ACCUMULATE_WEIGHTED |
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, dstT alpha |
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#endif |
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#ifdef HAVE_MASK |
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, __global const uchar * mask, int mask_step, int mask_offset |
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#endif |
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) |
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{ |
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int x = get_global_id(0); |
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int y = get_global_id(1); |
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if (x < dst_cols && y < dst_rows) |
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{ |
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int src_index = mad24(y, src_step, src_offset + x * cn * (int)sizeof(srcT)); |
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#ifdef HAVE_MASK |
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int mask_index = mad24(y, mask_step, mask_offset + x); |
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mask += mask_index; |
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#endif |
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int dst_index = mad24(y, dst_step, dst_offset + x * cn * (int)sizeof(dstT)); |
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__global const srcT * src = (__global const srcT *)(srcptr + src_index); |
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#ifdef ACCUMULATE_PRODUCT |
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int src2_index = mad24(y, src2_step, src2_offset + x * cn * (int)sizeof(srcT)); |
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__global const srcT * src2 = (__global const srcT *)(src2ptr + src2_index); |
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#endif |
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__global dstT * dst = (__global dstT *)(dstptr + dst_index); |
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#pragma unroll |
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for (int c = 0; c < cn; ++c) |
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#ifdef HAVE_MASK |
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if (mask[0]) |
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#endif |
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#ifdef ACCUMULATE |
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dst[c] += src[c]; |
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#elif defined ACCUMULATE_SQUARE |
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dst[c] += src[c] * src[c]; |
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#elif defined ACCUMULATE_PRODUCT |
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dst[c] += src[c] * src2[c]; |
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#elif defined ACCUMULATE_WEIGHTED |
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dst[c] = (1 - alpha) * dst[c] + src[c] * alpha; |
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#else |
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#error "Unknown accumulation type" |
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#endif |
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} |
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} |
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@ -0,0 +1,240 @@ |
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// @Authors
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// Nathan, liujun@multicorewareinc.com
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors as is and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp" |
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#include "cvconfig.h" |
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#include "opencv2/ts/ocl_test.hpp" |
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#ifdef HAVE_OPENCL |
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namespace cvtest { |
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namespace ocl { |
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PARAM_TEST_CASE(AccumulateBase, std::pair<MatDepth, MatDepth>, Channels, bool) |
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{ |
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int sdepth, ddepth, channels; |
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bool useRoi; |
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double alpha; |
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TEST_DECLARE_INPUT_PARAMETER(src) |
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TEST_DECLARE_INPUT_PARAMETER(mask) |
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TEST_DECLARE_INPUT_PARAMETER(src2) |
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TEST_DECLARE_OUTPUT_PARAMETER(dst) |
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virtual void SetUp() |
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{ |
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const std::pair<MatDepth, MatDepth> depths = GET_PARAM(0); |
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sdepth = depths.first, ddepth = depths.second; |
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channels = GET_PARAM(1); |
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useRoi = GET_PARAM(2); |
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} |
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void random_roi() |
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{ |
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const int stype = CV_MAKE_TYPE(sdepth, channels), |
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dtype = CV_MAKE_TYPE(ddepth, channels); |
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Size roiSize = randomSize(1, 10); |
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Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0); |
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randomSubMat(src, src_roi, roiSize, srcBorder, stype, -MAX_VALUE, MAX_VALUE); |
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Border maskBorder = randomBorder(0, useRoi ? MAX_VALUE : 0); |
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randomSubMat(mask, mask_roi, roiSize, maskBorder, CV_8UC1, -MAX_VALUE, MAX_VALUE); |
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threshold(mask, mask, 80, 255, THRESH_BINARY); |
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Border src2Border = randomBorder(0, useRoi ? MAX_VALUE : 0); |
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randomSubMat(src2, src2_roi, roiSize, src2Border, stype, -MAX_VALUE, MAX_VALUE); |
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Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0); |
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randomSubMat(dst, dst_roi, roiSize, dstBorder, dtype, -MAX_VALUE, MAX_VALUE); |
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UMAT_UPLOAD_INPUT_PARAMETER(src) |
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UMAT_UPLOAD_INPUT_PARAMETER(mask) |
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UMAT_UPLOAD_INPUT_PARAMETER(src2) |
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UMAT_UPLOAD_OUTPUT_PARAMETER(dst) |
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alpha = randomDouble(-5, 5); |
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} |
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}; |
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/////////////////////////////////// Accumulate ///////////////////////////////////
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typedef AccumulateBase Accumulate; |
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OCL_TEST_P(Accumulate, Mat) |
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{ |
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for (int i = 0; i < test_loop_times; ++i) |
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{ |
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random_roi(); |
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OCL_OFF(cv::accumulate(src_roi, dst_roi)); |
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OCL_ON(cv::accumulate(usrc_roi, udst_roi)); |
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OCL_EXPECT_MATS_NEAR(dst, 1e-6); |
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} |
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} |
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OCL_TEST_P(Accumulate, Mask) |
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{ |
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for (int i = 0; i < test_loop_times; ++i) |
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{ |
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random_roi(); |
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OCL_OFF(cv::accumulate(src_roi, dst_roi, mask_roi)); |
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OCL_ON(cv::accumulate(usrc_roi, udst_roi, umask_roi)); |
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OCL_EXPECT_MATS_NEAR(dst, 1e-6); |
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} |
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} |
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/////////////////////////////////// AccumulateSquare ///////////////////////////////////
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typedef AccumulateBase AccumulateSquare; |
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OCL_TEST_P(AccumulateSquare, Mat) |
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{ |
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for (int i = 0; i < test_loop_times; ++i) |
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{ |
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random_roi(); |
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OCL_OFF(cv::accumulateSquare(src_roi, dst_roi)); |
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OCL_ON(cv::accumulateSquare(usrc_roi, udst_roi)); |
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OCL_EXPECT_MATS_NEAR(dst, 1e-2); |
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} |
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} |
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OCL_TEST_P(AccumulateSquare, Mask) |
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{ |
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for (int i = 0; i < test_loop_times; ++i) |
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{ |
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random_roi(); |
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OCL_OFF(cv::accumulateSquare(src_roi, dst_roi, mask_roi)); |
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OCL_ON(cv::accumulateSquare(usrc_roi, udst_roi, umask_roi)); |
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OCL_EXPECT_MATS_NEAR(dst, 1e-2); |
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} |
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} |
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/////////////////////////////////// AccumulateProduct ///////////////////////////////////
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typedef AccumulateBase AccumulateProduct; |
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OCL_TEST_P(AccumulateProduct, Mat) |
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{ |
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for (int i = 0; i < test_loop_times; ++i) |
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{ |
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random_roi(); |
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OCL_OFF(cv::accumulateProduct(src_roi, src2_roi, dst_roi)); |
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OCL_ON(cv::accumulateProduct(usrc_roi, usrc2_roi, udst_roi)); |
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OCL_EXPECT_MATS_NEAR(dst, 1e-2); |
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} |
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} |
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OCL_TEST_P(AccumulateProduct, Mask) |
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{ |
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for (int i = 0; i < test_loop_times; ++i) |
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{ |
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random_roi(); |
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OCL_OFF(cv::accumulateProduct(src_roi, src2_roi, dst_roi, mask_roi)); |
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OCL_ON(cv::accumulateProduct(usrc_roi, usrc2_roi, udst_roi, umask_roi)); |
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OCL_EXPECT_MATS_NEAR(dst, 1e-2); |
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} |
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} |
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/////////////////////////////////// AccumulateWeighted ///////////////////////////////////
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typedef AccumulateBase AccumulateWeighted; |
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OCL_TEST_P(AccumulateWeighted, Mat) |
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{ |
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for (int i = 0; i < test_loop_times; ++i) |
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{ |
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random_roi(); |
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OCL_OFF(cv::accumulateWeighted(src_roi, dst_roi, alpha)); |
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OCL_ON(cv::accumulateWeighted(usrc_roi, udst_roi, alpha)); |
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OCL_EXPECT_MATS_NEAR(dst, 1e-2); |
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} |
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} |
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OCL_TEST_P(AccumulateWeighted, Mask) |
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{ |
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for (int i = 0; i < test_loop_times; ++i) |
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{ |
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random_roi(); |
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OCL_OFF(cv::accumulateWeighted(src_roi, dst_roi, alpha)); |
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OCL_ON(cv::accumulateWeighted(usrc_roi, udst_roi, alpha)); |
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OCL_EXPECT_MATS_NEAR(dst, 1e-2); |
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} |
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} |
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/////////////////////////////////// Instantiation ///////////////////////////////////
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#define OCL_DEPTH_ALL_COMBINATIONS \ |
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testing::Values(std::make_pair<MatDepth, MatDepth>(CV_8U, CV_32F), \
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std::make_pair<MatDepth, MatDepth>(CV_16U, CV_32F), \
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std::make_pair<MatDepth, MatDepth>(CV_32F, CV_32F), \
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std::make_pair<MatDepth, MatDepth>(CV_8U, CV_64F), \
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std::make_pair<MatDepth, MatDepth>(CV_16U, CV_64F), \
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std::make_pair<MatDepth, MatDepth>(CV_32F, CV_64F), \
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std::make_pair<MatDepth, MatDepth>(CV_64F, CV_64F)) |
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OCL_INSTANTIATE_TEST_CASE_P(ImgProc, Accumulate, Combine(OCL_DEPTH_ALL_COMBINATIONS, OCL_ALL_CHANNELS, Bool())); |
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OCL_INSTANTIATE_TEST_CASE_P(ImgProc, AccumulateSquare, Combine(OCL_DEPTH_ALL_COMBINATIONS, OCL_ALL_CHANNELS, Bool())); |
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OCL_INSTANTIATE_TEST_CASE_P(ImgProc, AccumulateProduct, Combine(OCL_DEPTH_ALL_COMBINATIONS, OCL_ALL_CHANNELS, Bool())); |
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OCL_INSTANTIATE_TEST_CASE_P(ImgProc, AccumulateWeighted, Combine(OCL_DEPTH_ALL_COMBINATIONS, OCL_ALL_CHANNELS, Bool())); |
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} } // namespace cvtest::ocl
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#endif |
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