Add blend, columnsum, pyrUp/down, matchTemplate for ocl module
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yao
295
modules/ocl/test/test_pyrdown.cpp
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295
modules/ocl/test/test_pyrdown.cpp
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///////////////////////////////////////////////////////////////////////////////////////
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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, Institute Of Software Chinese Academy Of Science, 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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// Dachuan Zhao, dachuan@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 oclMaterials 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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//#define PRINT_CPU_TIME 1000
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//#define PRINT_TIME
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#include "precomp.hpp"
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#include <iomanip>
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#ifdef HAVE_OPENCL
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using namespace cv;
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using namespace cv::ocl;
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using namespace cvtest;
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using namespace testing;
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using namespace std;
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PARAM_TEST_CASE(PyrDown, MatType, bool)
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{
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int type;
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cv::Scalar val;
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//src mat
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cv::Mat mat1;
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cv::Mat mat2;
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cv::Mat mask;
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cv::Mat dst;
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cv::Mat dst1; //bak, for two outputs
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// set up roi
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int roicols;
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int roirows;
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int src1x;
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int src1y;
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int src2x;
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int src2y;
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int dstx;
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int dsty;
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int maskx;
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int masky;
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//src mat with roi
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cv::Mat mat1_roi;
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cv::Mat mat2_roi;
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cv::Mat mask_roi;
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cv::Mat dst_roi;
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cv::Mat dst1_roi; //bak
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std::vector<cv::ocl::Info> oclinfo;
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//ocl dst mat for testing
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cv::ocl::oclMat gdst_whole;
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cv::ocl::oclMat gdst1_whole; //bak
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//ocl mat with roi
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cv::ocl::oclMat gmat1;
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cv::ocl::oclMat gmat2;
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cv::ocl::oclMat gdst;
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cv::ocl::oclMat gdst1; //bak
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cv::ocl::oclMat gmask;
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virtual void SetUp()
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{
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type = GET_PARAM(0);
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cv::RNG &rng = TS::ptr()->get_rng();
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cv::Size size(MWIDTH, MHEIGHT);
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mat1 = randomMat(rng, size, type, 5, 16, false);
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mat2 = randomMat(rng, size, type, 5, 16, false);
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dst = randomMat(rng, size, type, 5, 16, false);
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dst1 = randomMat(rng, size, type, 5, 16, false);
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mask = randomMat(rng, size, CV_8UC1, 0, 2, false);
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cv::threshold(mask, mask, 0.5, 255., CV_8UC1);
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val = cv::Scalar(rng.uniform(-10.0, 10.0), rng.uniform(-10.0, 10.0), rng.uniform(-10.0, 10.0), rng.uniform(-10.0, 10.0));
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//int devnums = getDevice(oclinfo);
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//CV_Assert(devnums > 0);
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//if you want to use undefault device, set it here
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//setDevice(oclinfo[0]);
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}
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void Cleanup()
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{
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mat1.release();
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mat2.release();
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mask.release();
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dst.release();
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dst1.release();
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mat1_roi.release();
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mat2_roi.release();
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mask_roi.release();
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dst_roi.release();
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dst1_roi.release();
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gdst_whole.release();
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gdst1_whole.release();
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gmat1.release();
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gmat2.release();
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gdst.release();
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gdst1.release();
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gmask.release();
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}
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void random_roi()
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{
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cv::RNG &rng = TS::ptr()->get_rng();
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#ifdef RANDOMROI
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//randomize ROI
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roicols = rng.uniform(1, mat1.cols);
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roirows = rng.uniform(1, mat1.rows);
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src1x = rng.uniform(0, mat1.cols - roicols);
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src1y = rng.uniform(0, mat1.rows - roirows);
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dstx = rng.uniform(0, dst.cols - roicols);
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dsty = rng.uniform(0, dst.rows - roirows);
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#else
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roicols = mat1.cols;
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roirows = mat1.rows;
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src1x = 0;
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src1y = 0;
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dstx = 0;
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dsty = 0;
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#endif
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maskx = rng.uniform(0, mask.cols - roicols);
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masky = rng.uniform(0, mask.rows - roirows);
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src2x = rng.uniform(0, mat2.cols - roicols);
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src2y = rng.uniform(0, mat2.rows - roirows);
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mat1_roi = mat1(Rect(src1x, src1y, roicols, roirows));
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mat2_roi = mat2(Rect(src2x, src2y, roicols, roirows));
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mask_roi = mask(Rect(maskx, masky, roicols, roirows));
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dst_roi = dst(Rect(dstx, dsty, roicols, roirows));
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dst1_roi = dst1(Rect(dstx, dsty, roicols, roirows));
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gdst_whole = dst;
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gdst = gdst_whole(Rect(dstx, dsty, roicols, roirows));
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gdst1_whole = dst1;
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gdst1 = gdst1_whole(Rect(dstx, dsty, roicols, roirows));
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gmat1 = mat1_roi;
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gmat2 = mat2_roi;
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gmask = mask_roi; //end
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}
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};
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#define VARNAME(A) string(#A);
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void PrePrint()
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{
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//for(int i = 0; i < MHEIGHT; i++)
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//{
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// printf("(%d) ", i);
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// for(int k = 0; k < MWIDTH; k++)
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// {
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// printf("%d ", mat1_roi.data[i * MHEIGHT + k]);
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// }
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// printf("\n");
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//}
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}
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void PostPrint()
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{
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//dst_roi.convertTo(dst_roi,CV_32S);
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//cpu_dst.convertTo(cpu_dst,CV_32S);
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//dst_roi -= cpu_dst;
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//cpu_dst -= dst_roi;
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//for(int i = 0; i < MHEIGHT / 2; i++)
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//{
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// printf("(%d) ", i);
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// for(int k = 0; k < MWIDTH / 2; k++)
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// {
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// if(gmat1.depth() == 0)
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// {
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// if(gmat1.channels() == 1)
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// {
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// printf("%d ", dst_roi.data[i * MHEIGHT / 2 + k]);
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// }
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// else
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// {
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// printf("%d ", ((unsigned*)dst_roi.data)[i * MHEIGHT / 2 + k]);
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// }
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// }
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// else if(gmat1.depth() == 5)
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// {
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// printf("%.6f ", ((float*)dst_roi.data)[i * MHEIGHT / 2 + k]);
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// }
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// }
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// printf("\n");
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//}
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//for(int i = 0; i < MHEIGHT / 2; i++)
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//{
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// printf("(%d) ", i);
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// for(int k = 0; k < MWIDTH / 2; k++)
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// {
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// if(gmat1.depth() == 0)
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// {
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// if(gmat1.channels() == 1)
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// {
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// printf("%d ", cpu_dst.data[i * MHEIGHT / 2 + k]);
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// }
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// else
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// {
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// printf("%d ", ((unsigned*)cpu_dst.data)[i * MHEIGHT / 2 + k]);
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// }
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// }
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// else if(gmat1.depth() == 5)
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// {
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// printf("%.6f ", ((float*)cpu_dst.data)[i * MHEIGHT / 2 + k]);
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// }
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// }
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// printf("\n");
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//}
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}
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////////////////////////////////PyrDown/////////////////////////////////////////////////
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//struct PyrDown : ArithmTestBase {};
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TEST_P(PyrDown, Mat)
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{
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for(int j = 0; j < LOOP_TIMES; j++)
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{
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random_roi();
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cv::pyrDown(mat1_roi, dst_roi);
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cv::ocl::pyrDown(gmat1, gdst);
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cv::Mat cpu_dst;
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gdst.download(cpu_dst);
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char s[1024];
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sprintf(s, "roicols=%d,roirows=%d,src1x=%d,src1y=%d,dstx=%d,dsty=%d,maskx=%d,masky=%d,src2x=%d,src2y=%d", roicols, roirows, src1x, src1y, dstx, dsty, maskx, masky, src2x, src2y);
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EXPECT_MAT_NEAR(dst_roi, cpu_dst, dst_roi.depth() == CV_32F ? 1e-5f : 1.0f, s);
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Cleanup();
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}
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}
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//********test****************
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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, PyrDown, Combine(
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Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),
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Values(false))); // Values(false) is the reserved parameter
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#endif // HAVE_OPENCL
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