mirror of
https://github.com/opencv/opencv.git
synced 2024-11-25 19:50:38 +08:00
4a297a2443
- removed tr1 usage (dropped in C++17) - moved includes of vector/map/iostream/limits into ts.hpp - require opencv_test + anonymous namespace (added compile check) - fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions - added missing license headers
1502 lines
34 KiB
C++
1502 lines
34 KiB
C++
/*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) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage 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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// 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 "perf_precomp.hpp"
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namespace opencv_test { namespace {
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#define ARITHM_MAT_DEPTH Values(CV_8U, CV_16U, CV_32F, CV_64F)
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//////////////////////////////////////////////////////////////////////
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// AddMat
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DEF_PARAM_TEST(Sz_Depth, cv::Size, MatDepth);
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PERF_TEST_P(Sz_Depth, AddMat,
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Combine(CUDA_TYPICAL_MAT_SIZES,
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ARITHM_MAT_DEPTH))
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{
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const cv::Size size = GET_PARAM(0);
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const int depth = GET_PARAM(1);
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cv::Mat src1(size, depth);
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declare.in(src1, WARMUP_RNG);
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cv::Mat src2(size, depth);
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declare.in(src2, WARMUP_RNG);
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if (PERF_RUN_CUDA())
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{
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const cv::cuda::GpuMat d_src1(src1);
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const cv::cuda::GpuMat d_src2(src2);
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cv::cuda::GpuMat dst;
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TEST_CYCLE() cv::cuda::add(d_src1, d_src2, dst);
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CUDA_SANITY_CHECK(dst, 1e-10);
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}
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else
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{
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cv::Mat dst;
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TEST_CYCLE() cv::add(src1, src2, dst);
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CPU_SANITY_CHECK(dst);
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}
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}
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//////////////////////////////////////////////////////////////////////
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// AddScalar
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PERF_TEST_P(Sz_Depth, AddScalar,
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Combine(CUDA_TYPICAL_MAT_SIZES,
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ARITHM_MAT_DEPTH))
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{
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const cv::Size size = GET_PARAM(0);
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const int depth = GET_PARAM(1);
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cv::Mat src(size, depth);
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declare.in(src, WARMUP_RNG);
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cv::Scalar s;
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declare.in(s, WARMUP_RNG);
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if (PERF_RUN_CUDA())
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{
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const cv::cuda::GpuMat d_src(src);
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cv::cuda::GpuMat dst;
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TEST_CYCLE() cv::cuda::add(d_src, s, dst);
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CUDA_SANITY_CHECK(dst, 1e-10);
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}
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else
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{
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cv::Mat dst;
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TEST_CYCLE() cv::add(src, s, dst);
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CPU_SANITY_CHECK(dst);
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}
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}
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//////////////////////////////////////////////////////////////////////
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// SubtractMat
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PERF_TEST_P(Sz_Depth, SubtractMat,
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Combine(CUDA_TYPICAL_MAT_SIZES,
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ARITHM_MAT_DEPTH))
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{
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const cv::Size size = GET_PARAM(0);
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const int depth = GET_PARAM(1);
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cv::Mat src1(size, depth);
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declare.in(src1, WARMUP_RNG);
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cv::Mat src2(size, depth);
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declare.in(src2, WARMUP_RNG);
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if (PERF_RUN_CUDA())
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{
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const cv::cuda::GpuMat d_src1(src1);
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const cv::cuda::GpuMat d_src2(src2);
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cv::cuda::GpuMat dst;
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TEST_CYCLE() cv::cuda::subtract(d_src1, d_src2, dst);
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CUDA_SANITY_CHECK(dst, 1e-10);
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}
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else
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{
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cv::Mat dst;
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TEST_CYCLE() cv::subtract(src1, src2, dst);
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CPU_SANITY_CHECK(dst);
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}
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}
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//////////////////////////////////////////////////////////////////////
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// SubtractScalar
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PERF_TEST_P(Sz_Depth, SubtractScalar,
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Combine(CUDA_TYPICAL_MAT_SIZES,
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ARITHM_MAT_DEPTH))
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{
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const cv::Size size = GET_PARAM(0);
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const int depth = GET_PARAM(1);
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cv::Mat src(size, depth);
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declare.in(src, WARMUP_RNG);
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cv::Scalar s;
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declare.in(s, WARMUP_RNG);
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if (PERF_RUN_CUDA())
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{
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const cv::cuda::GpuMat d_src(src);
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cv::cuda::GpuMat dst;
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TEST_CYCLE() cv::cuda::subtract(d_src, s, dst);
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CUDA_SANITY_CHECK(dst, 1e-10);
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}
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else
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{
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cv::Mat dst;
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TEST_CYCLE() cv::subtract(src, s, dst);
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CPU_SANITY_CHECK(dst);
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}
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}
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//////////////////////////////////////////////////////////////////////
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// MultiplyMat
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PERF_TEST_P(Sz_Depth, MultiplyMat,
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Combine(CUDA_TYPICAL_MAT_SIZES,
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ARITHM_MAT_DEPTH))
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{
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const cv::Size size = GET_PARAM(0);
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const int depth = GET_PARAM(1);
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cv::Mat src1(size, depth);
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declare.in(src1, WARMUP_RNG);
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cv::Mat src2(size, depth);
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declare.in(src2, WARMUP_RNG);
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if (PERF_RUN_CUDA())
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{
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const cv::cuda::GpuMat d_src1(src1);
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const cv::cuda::GpuMat d_src2(src2);
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cv::cuda::GpuMat dst;
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TEST_CYCLE() cv::cuda::multiply(d_src1, d_src2, dst);
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CUDA_SANITY_CHECK(dst, 1e-6);
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}
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else
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{
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cv::Mat dst;
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TEST_CYCLE() cv::multiply(src1, src2, dst);
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CPU_SANITY_CHECK(dst);
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}
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}
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//////////////////////////////////////////////////////////////////////
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// MultiplyScalar
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PERF_TEST_P(Sz_Depth, MultiplyScalar,
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Combine(CUDA_TYPICAL_MAT_SIZES,
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ARITHM_MAT_DEPTH))
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{
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const cv::Size size = GET_PARAM(0);
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const int depth = GET_PARAM(1);
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cv::Mat src(size, depth);
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declare.in(src, WARMUP_RNG);
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cv::Scalar s;
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declare.in(s, WARMUP_RNG);
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if (PERF_RUN_CUDA())
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{
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const cv::cuda::GpuMat d_src(src);
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cv::cuda::GpuMat dst;
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TEST_CYCLE() cv::cuda::multiply(d_src, s, dst);
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CUDA_SANITY_CHECK(dst, 1e-6);
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}
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else
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{
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cv::Mat dst;
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TEST_CYCLE() cv::multiply(src, s, dst);
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CPU_SANITY_CHECK(dst);
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}
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}
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//////////////////////////////////////////////////////////////////////
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// DivideMat
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PERF_TEST_P(Sz_Depth, DivideMat,
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Combine(CUDA_TYPICAL_MAT_SIZES,
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ARITHM_MAT_DEPTH))
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{
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const cv::Size size = GET_PARAM(0);
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const int depth = GET_PARAM(1);
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cv::Mat src1(size, depth);
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declare.in(src1, WARMUP_RNG);
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cv::Mat src2(size, depth);
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declare.in(src2, WARMUP_RNG);
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if (PERF_RUN_CUDA())
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{
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const cv::cuda::GpuMat d_src1(src1);
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const cv::cuda::GpuMat d_src2(src2);
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cv::cuda::GpuMat dst;
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TEST_CYCLE() cv::cuda::divide(d_src1, d_src2, dst);
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CUDA_SANITY_CHECK(dst, 1e-6);
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}
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else
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{
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cv::Mat dst;
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TEST_CYCLE() cv::divide(src1, src2, dst);
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CPU_SANITY_CHECK(dst);
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}
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}
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//////////////////////////////////////////////////////////////////////
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// DivideScalar
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PERF_TEST_P(Sz_Depth, DivideScalar,
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Combine(CUDA_TYPICAL_MAT_SIZES,
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ARITHM_MAT_DEPTH))
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{
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const cv::Size size = GET_PARAM(0);
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const int depth = GET_PARAM(1);
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cv::Mat src(size, depth);
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declare.in(src, WARMUP_RNG);
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cv::Scalar s;
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declare.in(s, WARMUP_RNG);
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if (PERF_RUN_CUDA())
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{
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const cv::cuda::GpuMat d_src(src);
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cv::cuda::GpuMat dst;
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TEST_CYCLE() cv::cuda::divide(d_src, s, dst);
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CUDA_SANITY_CHECK(dst, 1e-6);
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}
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else
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{
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cv::Mat dst;
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TEST_CYCLE() cv::divide(src, s, dst);
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CPU_SANITY_CHECK(dst);
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}
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}
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//////////////////////////////////////////////////////////////////////
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// DivideScalarInv
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PERF_TEST_P(Sz_Depth, DivideScalarInv,
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Combine(CUDA_TYPICAL_MAT_SIZES,
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ARITHM_MAT_DEPTH))
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{
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const cv::Size size = GET_PARAM(0);
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const int depth = GET_PARAM(1);
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cv::Mat src(size, depth);
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declare.in(src, WARMUP_RNG);
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cv::Scalar s;
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declare.in(s, WARMUP_RNG);
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if (PERF_RUN_CUDA())
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{
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const cv::cuda::GpuMat d_src(src);
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cv::cuda::GpuMat dst;
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TEST_CYCLE() cv::cuda::divide(s[0], d_src, dst);
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CUDA_SANITY_CHECK(dst, 1e-6);
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}
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else
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{
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cv::Mat dst;
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TEST_CYCLE() cv::divide(s, src, dst);
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CPU_SANITY_CHECK(dst);
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}
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}
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//////////////////////////////////////////////////////////////////////
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// AbsDiffMat
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PERF_TEST_P(Sz_Depth, AbsDiffMat,
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Combine(CUDA_TYPICAL_MAT_SIZES,
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ARITHM_MAT_DEPTH))
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{
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const cv::Size size = GET_PARAM(0);
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const int depth = GET_PARAM(1);
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cv::Mat src1(size, depth);
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declare.in(src1, WARMUP_RNG);
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cv::Mat src2(size, depth);
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declare.in(src2, WARMUP_RNG);
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if (PERF_RUN_CUDA())
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{
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const cv::cuda::GpuMat d_src1(src1);
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const cv::cuda::GpuMat d_src2(src2);
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cv::cuda::GpuMat dst;
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TEST_CYCLE() cv::cuda::absdiff(d_src1, d_src2, dst);
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CUDA_SANITY_CHECK(dst, 1e-10);
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}
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else
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{
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cv::Mat dst;
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TEST_CYCLE() cv::absdiff(src1, src2, dst);
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CPU_SANITY_CHECK(dst);
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}
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}
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//////////////////////////////////////////////////////////////////////
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// AbsDiffScalar
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PERF_TEST_P(Sz_Depth, AbsDiffScalar,
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Combine(CUDA_TYPICAL_MAT_SIZES,
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ARITHM_MAT_DEPTH))
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{
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const cv::Size size = GET_PARAM(0);
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const int depth = GET_PARAM(1);
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cv::Mat src(size, depth);
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declare.in(src, WARMUP_RNG);
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cv::Scalar s;
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declare.in(s, WARMUP_RNG);
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if (PERF_RUN_CUDA())
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{
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const cv::cuda::GpuMat d_src(src);
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cv::cuda::GpuMat dst;
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TEST_CYCLE() cv::cuda::absdiff(d_src, s, dst);
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CUDA_SANITY_CHECK(dst, 1e-10);
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}
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else
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{
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cv::Mat dst;
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TEST_CYCLE() cv::absdiff(src, s, dst);
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CPU_SANITY_CHECK(dst);
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}
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}
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//////////////////////////////////////////////////////////////////////
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// Abs
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PERF_TEST_P(Sz_Depth, Abs,
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Combine(CUDA_TYPICAL_MAT_SIZES,
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Values(CV_16S, CV_32F)))
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{
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const cv::Size size = GET_PARAM(0);
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const int depth = GET_PARAM(1);
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cv::Mat src(size, depth);
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declare.in(src, WARMUP_RNG);
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if (PERF_RUN_CUDA())
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{
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const cv::cuda::GpuMat d_src(src);
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cv::cuda::GpuMat dst;
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TEST_CYCLE() cv::cuda::abs(d_src, dst);
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CUDA_SANITY_CHECK(dst);
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}
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else
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{
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FAIL_NO_CPU();
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}
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}
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//////////////////////////////////////////////////////////////////////
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// Sqr
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PERF_TEST_P(Sz_Depth, Sqr,
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Combine(CUDA_TYPICAL_MAT_SIZES,
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Values(CV_8U, CV_16S, CV_32F)))
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{
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const cv::Size size = GET_PARAM(0);
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const int depth = GET_PARAM(1);
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cv::Mat src(size, depth);
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declare.in(src, WARMUP_RNG);
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if (PERF_RUN_CUDA())
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{
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const cv::cuda::GpuMat d_src(src);
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cv::cuda::GpuMat dst;
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TEST_CYCLE() cv::cuda::sqr(d_src, dst);
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CUDA_SANITY_CHECK(dst);
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}
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else
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{
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FAIL_NO_CPU();
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}
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}
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//////////////////////////////////////////////////////////////////////
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// Sqrt
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PERF_TEST_P(Sz_Depth, Sqrt,
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Combine(CUDA_TYPICAL_MAT_SIZES,
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Values(CV_8U, CV_16S, CV_32F)))
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{
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const cv::Size size = GET_PARAM(0);
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const int depth = GET_PARAM(1);
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cv::Mat src(size, depth);
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cv::randu(src, 0, 100000);
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if (PERF_RUN_CUDA())
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{
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const cv::cuda::GpuMat d_src(src);
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cv::cuda::GpuMat dst;
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TEST_CYCLE() cv::cuda::sqrt(d_src, dst);
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CUDA_SANITY_CHECK(dst);
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}
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else
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{
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cv::Mat dst;
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TEST_CYCLE() cv::sqrt(src, dst);
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CPU_SANITY_CHECK(dst);
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}
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}
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//////////////////////////////////////////////////////////////////////
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// Log
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PERF_TEST_P(Sz_Depth, Log,
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Combine(CUDA_TYPICAL_MAT_SIZES,
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Values(CV_8U, CV_16S, CV_32F)))
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{
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const cv::Size size = GET_PARAM(0);
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const int depth = GET_PARAM(1);
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cv::Mat src(size, depth);
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cv::randu(src, 0, 100000);
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if (PERF_RUN_CUDA())
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{
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const cv::cuda::GpuMat d_src(src);
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cv::cuda::GpuMat dst;
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TEST_CYCLE() cv::cuda::log(d_src, dst);
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CUDA_SANITY_CHECK(dst);
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}
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else
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{
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cv::Mat dst;
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TEST_CYCLE() cv::log(src, dst);
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CPU_SANITY_CHECK(dst);
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}
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}
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//////////////////////////////////////////////////////////////////////
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// Exp
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PERF_TEST_P(Sz_Depth, Exp,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16S, CV_32F)))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
|
|
cv::Mat src(size, depth);
|
|
cv::randu(src, 0, 10);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::exp(d_src, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::exp(src, dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// Pow
|
|
|
|
DEF_PARAM_TEST(Sz_Depth_Power, cv::Size, MatDepth, double);
|
|
|
|
PERF_TEST_P(Sz_Depth_Power, Pow,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16S, CV_32F),
|
|
Values(0.3, 2.0, 2.4)))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const double power = GET_PARAM(2);
|
|
|
|
cv::Mat src(size, depth);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::pow(d_src, power, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::pow(src, power, dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// CompareMat
|
|
|
|
CV_ENUM(CmpCode, cv::CMP_EQ, cv::CMP_GT, cv::CMP_GE, cv::CMP_LT, cv::CMP_LE, cv::CMP_NE)
|
|
|
|
DEF_PARAM_TEST(Sz_Depth_Code, cv::Size, MatDepth, CmpCode);
|
|
|
|
PERF_TEST_P(Sz_Depth_Code, CompareMat,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
ARITHM_MAT_DEPTH,
|
|
CmpCode::all()))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const int cmp_code = GET_PARAM(2);
|
|
|
|
cv::Mat src1(size, depth);
|
|
declare.in(src1, WARMUP_RNG);
|
|
|
|
cv::Mat src2(size, depth);
|
|
declare.in(src2, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src1(src1);
|
|
const cv::cuda::GpuMat d_src2(src2);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::compare(d_src1, d_src2, dst, cmp_code);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::compare(src1, src2, dst, cmp_code);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// CompareScalar
|
|
|
|
PERF_TEST_P(Sz_Depth_Code, CompareScalar,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
ARITHM_MAT_DEPTH,
|
|
CmpCode::all()))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const int cmp_code = GET_PARAM(2);
|
|
|
|
cv::Mat src(size, depth);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
cv::Scalar s;
|
|
declare.in(s, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::compare(d_src, s, dst, cmp_code);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::compare(src, s, dst, cmp_code);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// BitwiseNot
|
|
|
|
PERF_TEST_P(Sz_Depth, BitwiseNot,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32S)))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
|
|
cv::Mat src(size, depth);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::bitwise_not(d_src, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::bitwise_not(src, dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// BitwiseAndMat
|
|
|
|
PERF_TEST_P(Sz_Depth, BitwiseAndMat,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32S)))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
|
|
cv::Mat src1(size, depth);
|
|
declare.in(src1, WARMUP_RNG);
|
|
|
|
cv::Mat src2(size, depth);
|
|
declare.in(src2, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src1(src1);
|
|
const cv::cuda::GpuMat d_src2(src2);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::bitwise_and(d_src1, d_src2, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::bitwise_and(src1, src2, dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// BitwiseAndScalar
|
|
|
|
DEF_PARAM_TEST(Sz_Depth_Cn, cv::Size, MatDepth, MatCn);
|
|
|
|
PERF_TEST_P(Sz_Depth_Cn, BitwiseAndScalar,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32S),
|
|
CUDA_CHANNELS_1_3_4))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const int channels = GET_PARAM(2);
|
|
|
|
const int type = CV_MAKE_TYPE(depth, channels);
|
|
|
|
cv::Mat src(size, type);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
cv::Scalar s;
|
|
declare.in(s, WARMUP_RNG);
|
|
cv::Scalar_<int> is = s;
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::bitwise_and(d_src, is, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::bitwise_and(src, is, dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// BitwiseOrMat
|
|
|
|
PERF_TEST_P(Sz_Depth, BitwiseOrMat,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32S)))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
|
|
cv::Mat src1(size, depth);
|
|
declare.in(src1, WARMUP_RNG);
|
|
|
|
cv::Mat src2(size, depth);
|
|
declare.in(src2, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src1(src1);
|
|
const cv::cuda::GpuMat d_src2(src2);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::bitwise_or(d_src1, d_src2, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::bitwise_or(src1, src2, dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// BitwiseOrScalar
|
|
|
|
PERF_TEST_P(Sz_Depth_Cn, BitwiseOrScalar,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32S),
|
|
CUDA_CHANNELS_1_3_4))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const int channels = GET_PARAM(2);
|
|
|
|
const int type = CV_MAKE_TYPE(depth, channels);
|
|
|
|
cv::Mat src(size, type);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
cv::Scalar s;
|
|
declare.in(s, WARMUP_RNG);
|
|
cv::Scalar_<int> is = s;
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::bitwise_or(d_src, is, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::bitwise_or(src, is, dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// BitwiseXorMat
|
|
|
|
PERF_TEST_P(Sz_Depth, BitwiseXorMat,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32S)))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
|
|
cv::Mat src1(size, depth);
|
|
declare.in(src1, WARMUP_RNG);
|
|
|
|
cv::Mat src2(size, depth);
|
|
declare.in(src2, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src1(src1);
|
|
const cv::cuda::GpuMat d_src2(src2);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::bitwise_xor(d_src1, d_src2, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::bitwise_xor(src1, src2, dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// BitwiseXorScalar
|
|
|
|
PERF_TEST_P(Sz_Depth_Cn, BitwiseXorScalar,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32S),
|
|
CUDA_CHANNELS_1_3_4))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const int channels = GET_PARAM(2);
|
|
|
|
const int type = CV_MAKE_TYPE(depth, channels);
|
|
|
|
cv::Mat src(size, type);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
cv::Scalar s;
|
|
declare.in(s, WARMUP_RNG);
|
|
cv::Scalar_<int> is = s;
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::bitwise_xor(d_src, is, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::bitwise_xor(src, is, dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// RShift
|
|
|
|
PERF_TEST_P(Sz_Depth_Cn, RShift,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32S),
|
|
CUDA_CHANNELS_1_3_4))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const int channels = GET_PARAM(2);
|
|
|
|
const int type = CV_MAKE_TYPE(depth, channels);
|
|
|
|
cv::Mat src(size, type);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
const cv::Scalar_<int> val = cv::Scalar_<int>::all(4);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::rshift(d_src, val, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
FAIL_NO_CPU();
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// LShift
|
|
|
|
PERF_TEST_P(Sz_Depth_Cn, LShift,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32S),
|
|
CUDA_CHANNELS_1_3_4))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const int channels = GET_PARAM(2);
|
|
|
|
const int type = CV_MAKE_TYPE(depth, channels);
|
|
|
|
cv::Mat src(size, type);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
const cv::Scalar_<int> val = cv::Scalar_<int>::all(4);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::lshift(d_src, val, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
FAIL_NO_CPU();
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// MinMat
|
|
|
|
PERF_TEST_P(Sz_Depth, MinMat,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32F)))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
|
|
cv::Mat src1(size, depth);
|
|
declare.in(src1, WARMUP_RNG);
|
|
|
|
cv::Mat src2(size, depth);
|
|
declare.in(src2, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src1(src1);
|
|
const cv::cuda::GpuMat d_src2(src2);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::min(d_src1, d_src2, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::min(src1, src2, dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// MinScalar
|
|
|
|
PERF_TEST_P(Sz_Depth, MinScalar,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32F)))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
|
|
cv::Mat src(size, depth);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
cv::Scalar val;
|
|
declare.in(val, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::min(d_src, val[0], dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::min(src, val[0], dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// MaxMat
|
|
|
|
PERF_TEST_P(Sz_Depth, MaxMat,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32F)))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
|
|
cv::Mat src1(size, depth);
|
|
declare.in(src1, WARMUP_RNG);
|
|
|
|
cv::Mat src2(size, depth);
|
|
declare.in(src2, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src1(src1);
|
|
const cv::cuda::GpuMat d_src2(src2);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::max(d_src1, d_src2, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::max(src1, src2, dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// MaxScalar
|
|
|
|
PERF_TEST_P(Sz_Depth, MaxScalar,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32F)))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
|
|
cv::Mat src(size, depth);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
cv::Scalar val;
|
|
declare.in(val, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::max(d_src, val[0], dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::max(src, val[0], dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// AddWeighted
|
|
|
|
DEF_PARAM_TEST(Sz_3Depth, cv::Size, MatDepth, MatDepth, MatDepth);
|
|
|
|
PERF_TEST_P(Sz_3Depth, AddWeighted,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32F, CV_64F),
|
|
Values(CV_8U, CV_16U, CV_32F, CV_64F),
|
|
Values(CV_8U, CV_16U, CV_32F, CV_64F)))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth1 = GET_PARAM(1);
|
|
const int depth2 = GET_PARAM(2);
|
|
const int dst_depth = GET_PARAM(3);
|
|
|
|
cv::Mat src1(size, depth1);
|
|
declare.in(src1, WARMUP_RNG);
|
|
|
|
cv::Mat src2(size, depth2);
|
|
declare.in(src2, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src1(src1);
|
|
const cv::cuda::GpuMat d_src2(src2);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::addWeighted(d_src1, 0.5, d_src2, 0.5, 10.0, dst, dst_depth);
|
|
|
|
CUDA_SANITY_CHECK(dst, 1e-10);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::addWeighted(src1, 0.5, src2, 0.5, 10.0, dst, dst_depth);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// MagnitudeComplex
|
|
|
|
PERF_TEST_P(Sz, MagnitudeComplex,
|
|
CUDA_TYPICAL_MAT_SIZES)
|
|
{
|
|
const cv::Size size = GetParam();
|
|
|
|
cv::Mat src(size, CV_32FC2);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::magnitude(d_src, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat xy[2];
|
|
cv::split(src, xy);
|
|
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::magnitude(xy[0], xy[1], dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// MagnitudeSqrComplex
|
|
|
|
PERF_TEST_P(Sz, MagnitudeSqrComplex,
|
|
CUDA_TYPICAL_MAT_SIZES)
|
|
{
|
|
const cv::Size size = GetParam();
|
|
|
|
cv::Mat src(size, CV_32FC2);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::magnitudeSqr(d_src, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
FAIL_NO_CPU();
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// Magnitude
|
|
|
|
PERF_TEST_P(Sz, Magnitude,
|
|
CUDA_TYPICAL_MAT_SIZES)
|
|
{
|
|
const cv::Size size = GetParam();
|
|
|
|
cv::Mat src1(size, CV_32FC1);
|
|
declare.in(src1, WARMUP_RNG);
|
|
|
|
cv::Mat src2(size, CV_32FC1);
|
|
declare.in(src2, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src1(src1);
|
|
const cv::cuda::GpuMat d_src2(src2);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::magnitude(d_src1, d_src2, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::magnitude(src1, src2, dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// MagnitudeSqr
|
|
|
|
PERF_TEST_P(Sz, MagnitudeSqr,
|
|
CUDA_TYPICAL_MAT_SIZES)
|
|
{
|
|
const cv::Size size = GetParam();
|
|
|
|
cv::Mat src1(size, CV_32FC1);
|
|
declare.in(src1, WARMUP_RNG);
|
|
|
|
cv::Mat src2(size, CV_32FC1);
|
|
declare.in(src2, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src1(src1);
|
|
const cv::cuda::GpuMat d_src2(src2);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::magnitudeSqr(d_src1, d_src2, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
FAIL_NO_CPU();
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// Phase
|
|
|
|
DEF_PARAM_TEST(Sz_AngleInDegrees, cv::Size, bool);
|
|
|
|
PERF_TEST_P(Sz_AngleInDegrees, Phase,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Bool()))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const bool angleInDegrees = GET_PARAM(1);
|
|
|
|
cv::Mat src1(size, CV_32FC1);
|
|
declare.in(src1, WARMUP_RNG);
|
|
|
|
cv::Mat src2(size, CV_32FC1);
|
|
declare.in(src2, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src1(src1);
|
|
const cv::cuda::GpuMat d_src2(src2);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::phase(d_src1, d_src2, dst, angleInDegrees);
|
|
|
|
CUDA_SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::phase(src1, src2, dst, angleInDegrees);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// CartToPolar
|
|
|
|
PERF_TEST_P(Sz_AngleInDegrees, CartToPolar,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Bool()))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const bool angleInDegrees = GET_PARAM(1);
|
|
|
|
cv::Mat src1(size, CV_32FC1);
|
|
declare.in(src1, WARMUP_RNG);
|
|
|
|
cv::Mat src2(size, CV_32FC1);
|
|
declare.in(src2, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src1(src1);
|
|
const cv::cuda::GpuMat d_src2(src2);
|
|
cv::cuda::GpuMat magnitude;
|
|
cv::cuda::GpuMat angle;
|
|
|
|
TEST_CYCLE() cv::cuda::cartToPolar(d_src1, d_src2, magnitude, angle, angleInDegrees);
|
|
|
|
CUDA_SANITY_CHECK(magnitude);
|
|
CUDA_SANITY_CHECK(angle, 1e-6, ERROR_RELATIVE);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat magnitude;
|
|
cv::Mat angle;
|
|
|
|
TEST_CYCLE() cv::cartToPolar(src1, src2, magnitude, angle, angleInDegrees);
|
|
|
|
CPU_SANITY_CHECK(magnitude);
|
|
CPU_SANITY_CHECK(angle);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// PolarToCart
|
|
|
|
PERF_TEST_P(Sz_AngleInDegrees, PolarToCart,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Bool()))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const bool angleInDegrees = GET_PARAM(1);
|
|
|
|
cv::Mat magnitude(size, CV_32FC1);
|
|
declare.in(magnitude, WARMUP_RNG);
|
|
|
|
cv::Mat angle(size, CV_32FC1);
|
|
declare.in(angle, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_magnitude(magnitude);
|
|
const cv::cuda::GpuMat d_angle(angle);
|
|
cv::cuda::GpuMat x;
|
|
cv::cuda::GpuMat y;
|
|
|
|
TEST_CYCLE() cv::cuda::polarToCart(d_magnitude, d_angle, x, y, angleInDegrees);
|
|
|
|
CUDA_SANITY_CHECK(x);
|
|
CUDA_SANITY_CHECK(y);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat x;
|
|
cv::Mat y;
|
|
|
|
TEST_CYCLE() cv::polarToCart(magnitude, angle, x, y, angleInDegrees);
|
|
|
|
CPU_SANITY_CHECK(x);
|
|
CPU_SANITY_CHECK(y);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// Threshold
|
|
|
|
CV_ENUM(ThreshOp, cv::THRESH_BINARY, cv::THRESH_BINARY_INV, cv::THRESH_TRUNC, cv::THRESH_TOZERO, cv::THRESH_TOZERO_INV)
|
|
|
|
DEF_PARAM_TEST(Sz_Depth_Op, cv::Size, MatDepth, ThreshOp);
|
|
|
|
PERF_TEST_P(Sz_Depth_Op, Threshold,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32F, CV_64F),
|
|
ThreshOp::all()))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const int threshOp = GET_PARAM(2);
|
|
|
|
cv::Mat src(size, depth);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::threshold(d_src, dst, 100.0, 255.0, threshOp);
|
|
|
|
CUDA_SANITY_CHECK(dst, 1e-10);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::threshold(src, dst, 100.0, 255.0, threshOp);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
}} // namespace
|