mirror of
https://github.com/opencv/opencv.git
synced 2024-12-15 01:39:10 +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
413 lines
12 KiB
C++
413 lines
12 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 "test_precomp.hpp"
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#ifdef HAVE_CUDA
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#include "opencv2/core/cuda.hpp"
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#include "opencv2/ts/cuda_test.hpp"
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namespace opencv_test { namespace {
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////////////////////////////////////////////////////////////////////////////////
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// SetTo
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PARAM_TEST_CASE(GpuMat_SetTo, cv::cuda::DeviceInfo, cv::Size, MatType, UseRoi)
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{
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cv::cuda::DeviceInfo devInfo;
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cv::Size size;
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int type;
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bool useRoi;
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virtual void SetUp()
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{
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devInfo = GET_PARAM(0);
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size = GET_PARAM(1);
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type = GET_PARAM(2);
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useRoi = GET_PARAM(3);
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cv::cuda::setDevice(devInfo.deviceID());
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}
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};
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CUDA_TEST_P(GpuMat_SetTo, Zero)
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{
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cv::Scalar zero = cv::Scalar::all(0);
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cv::cuda::GpuMat mat = createMat(size, type, useRoi);
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mat.setTo(zero);
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EXPECT_MAT_NEAR(cv::Mat::zeros(size, type), mat, 0.0);
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}
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CUDA_TEST_P(GpuMat_SetTo, SameVal)
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{
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cv::Scalar val = cv::Scalar::all(randomDouble(0.0, 255.0));
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if (CV_MAT_DEPTH(type) == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
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{
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try
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{
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cv::cuda::GpuMat mat = createMat(size, type, useRoi);
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mat.setTo(val);
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}
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catch (const cv::Exception& e)
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{
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ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
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}
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}
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else
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{
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cv::cuda::GpuMat mat = createMat(size, type, useRoi);
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mat.setTo(val);
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EXPECT_MAT_NEAR(cv::Mat(size, type, val), mat, 0.0);
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}
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}
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CUDA_TEST_P(GpuMat_SetTo, DifferentVal)
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{
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cv::Scalar val = randomScalar(0.0, 255.0);
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if (CV_MAT_DEPTH(type) == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
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{
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try
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{
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cv::cuda::GpuMat mat = createMat(size, type, useRoi);
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mat.setTo(val);
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}
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catch (const cv::Exception& e)
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{
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ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
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}
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}
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else
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{
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cv::cuda::GpuMat mat = createMat(size, type, useRoi);
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mat.setTo(val);
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EXPECT_MAT_NEAR(cv::Mat(size, type, val), mat, 0.0);
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}
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}
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CUDA_TEST_P(GpuMat_SetTo, Masked)
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{
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cv::Scalar val = randomScalar(0.0, 255.0);
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cv::Mat mat_gold = randomMat(size, type);
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cv::Mat mask = randomMat(size, CV_8UC1, 0.0, 2.0);
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if (CV_MAT_DEPTH(type) == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
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{
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try
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{
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cv::cuda::GpuMat mat = createMat(size, type, useRoi);
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mat.setTo(val, loadMat(mask));
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}
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catch (const cv::Exception& e)
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{
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ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
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}
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}
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else
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{
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cv::cuda::GpuMat mat = loadMat(mat_gold, useRoi);
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mat.setTo(val, loadMat(mask, useRoi));
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mat_gold.setTo(val, mask);
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EXPECT_MAT_NEAR(mat_gold, mat, 0.0);
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}
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}
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INSTANTIATE_TEST_CASE_P(CUDA, GpuMat_SetTo, testing::Combine(
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ALL_DEVICES,
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DIFFERENT_SIZES,
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ALL_TYPES,
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WHOLE_SUBMAT));
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////////////////////////////////////////////////////////////////////////////////
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// CopyTo
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PARAM_TEST_CASE(GpuMat_CopyTo, cv::cuda::DeviceInfo, cv::Size, MatType, UseRoi)
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{
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cv::cuda::DeviceInfo devInfo;
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cv::Size size;
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int type;
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bool useRoi;
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virtual void SetUp()
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{
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devInfo = GET_PARAM(0);
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size = GET_PARAM(1);
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type = GET_PARAM(2);
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useRoi = GET_PARAM(3);
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cv::cuda::setDevice(devInfo.deviceID());
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}
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};
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CUDA_TEST_P(GpuMat_CopyTo, WithOutMask)
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{
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cv::Mat src = randomMat(size, type);
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cv::cuda::GpuMat d_src = loadMat(src, useRoi);
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cv::cuda::GpuMat dst = createMat(size, type, useRoi);
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d_src.copyTo(dst);
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EXPECT_MAT_NEAR(src, dst, 0.0);
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}
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CUDA_TEST_P(GpuMat_CopyTo, Masked)
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{
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cv::Mat src = randomMat(size, type);
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cv::Mat mask = randomMat(size, CV_8UC1, 0.0, 2.0);
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if (CV_MAT_DEPTH(type) == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
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{
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try
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{
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cv::cuda::GpuMat d_src = loadMat(src);
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cv::cuda::GpuMat dst;
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d_src.copyTo(dst, loadMat(mask, useRoi));
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}
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catch (const cv::Exception& e)
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{
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ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
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}
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}
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else
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{
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cv::cuda::GpuMat d_src = loadMat(src, useRoi);
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cv::cuda::GpuMat dst = loadMat(cv::Mat::zeros(size, type), useRoi);
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d_src.copyTo(dst, loadMat(mask, useRoi));
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cv::Mat dst_gold = cv::Mat::zeros(size, type);
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src.copyTo(dst_gold, mask);
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EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
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}
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}
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INSTANTIATE_TEST_CASE_P(CUDA, GpuMat_CopyTo, testing::Combine(
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ALL_DEVICES,
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DIFFERENT_SIZES,
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ALL_TYPES,
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WHOLE_SUBMAT));
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////////////////////////////////////////////////////////////////////////////////
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// ConvertTo
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PARAM_TEST_CASE(GpuMat_ConvertTo, cv::cuda::DeviceInfo, cv::Size, MatDepth, MatDepth, UseRoi)
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{
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cv::cuda::DeviceInfo devInfo;
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cv::Size size;
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int depth1;
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int depth2;
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bool useRoi;
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virtual void SetUp()
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{
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devInfo = GET_PARAM(0);
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size = GET_PARAM(1);
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depth1 = GET_PARAM(2);
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depth2 = GET_PARAM(3);
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useRoi = GET_PARAM(4);
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cv::cuda::setDevice(devInfo.deviceID());
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}
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};
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CUDA_TEST_P(GpuMat_ConvertTo, WithOutScaling)
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{
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cv::Mat src = randomMat(size, depth1);
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if ((depth1 == CV_64F || depth2 == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
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{
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try
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{
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cv::cuda::GpuMat d_src = loadMat(src);
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cv::cuda::GpuMat dst;
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d_src.convertTo(dst, depth2);
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}
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catch (const cv::Exception& e)
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{
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ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
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}
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}
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else
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{
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cv::cuda::GpuMat d_src = loadMat(src, useRoi);
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cv::cuda::GpuMat dst = createMat(size, depth2, useRoi);
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d_src.convertTo(dst, depth2);
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cv::Mat dst_gold;
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src.convertTo(dst_gold, depth2);
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EXPECT_MAT_NEAR(dst_gold, dst, depth2 < CV_32F ? 1.0 : 1e-4);
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}
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}
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CUDA_TEST_P(GpuMat_ConvertTo, WithScaling)
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{
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cv::Mat src = randomMat(size, depth1);
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double a = randomDouble(0.0, 1.0);
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double b = randomDouble(-10.0, 10.0);
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if ((depth1 == CV_64F || depth2 == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
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{
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try
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{
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cv::cuda::GpuMat d_src = loadMat(src);
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cv::cuda::GpuMat dst;
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d_src.convertTo(dst, depth2, a, b);
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}
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catch (const cv::Exception& e)
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{
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ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
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}
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}
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else
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{
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cv::cuda::GpuMat d_src = loadMat(src, useRoi);
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cv::cuda::GpuMat dst = createMat(size, depth2, useRoi);
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d_src.convertTo(dst, depth2, a, b);
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cv::Mat dst_gold;
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src.convertTo(dst_gold, depth2, a, b);
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EXPECT_MAT_NEAR(dst_gold, dst, depth2 < CV_32F ? 1.0 : 1e-4);
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}
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}
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INSTANTIATE_TEST_CASE_P(CUDA, GpuMat_ConvertTo, testing::Combine(
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ALL_DEVICES,
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DIFFERENT_SIZES,
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ALL_DEPTH,
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ALL_DEPTH,
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WHOLE_SUBMAT));
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////////////////////////////////////////////////////////////////////////////////
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// ensureSizeIsEnough
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struct EnsureSizeIsEnough : testing::TestWithParam<cv::cuda::DeviceInfo>
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{
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virtual void SetUp()
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{
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cv::cuda::DeviceInfo devInfo = GetParam();
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cv::cuda::setDevice(devInfo.deviceID());
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}
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};
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CUDA_TEST_P(EnsureSizeIsEnough, BufferReuse)
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{
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cv::cuda::GpuMat buffer(100, 100, CV_8U);
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cv::cuda::GpuMat old = buffer;
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// don't reallocate memory
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cv::cuda::ensureSizeIsEnough(10, 20, CV_8U, buffer);
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EXPECT_EQ(10, buffer.rows);
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EXPECT_EQ(20, buffer.cols);
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EXPECT_EQ(CV_8UC1, buffer.type());
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EXPECT_EQ(reinterpret_cast<intptr_t>(old.data), reinterpret_cast<intptr_t>(buffer.data));
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// don't reallocate memory
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cv::cuda::ensureSizeIsEnough(20, 30, CV_8U, buffer);
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EXPECT_EQ(20, buffer.rows);
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EXPECT_EQ(30, buffer.cols);
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EXPECT_EQ(CV_8UC1, buffer.type());
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EXPECT_EQ(reinterpret_cast<intptr_t>(old.data), reinterpret_cast<intptr_t>(buffer.data));
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}
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INSTANTIATE_TEST_CASE_P(CUDA, EnsureSizeIsEnough, ALL_DEVICES);
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////////////////////////////////////////////////////////////////////////////////
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// createContinuous
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struct CreateContinuous : testing::TestWithParam<cv::cuda::DeviceInfo>
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{
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virtual void SetUp()
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{
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cv::cuda::DeviceInfo devInfo = GetParam();
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cv::cuda::setDevice(devInfo.deviceID());
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}
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};
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CUDA_TEST_P(CreateContinuous, BufferReuse)
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{
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cv::cuda::GpuMat buffer;
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cv::cuda::createContinuous(100, 100, CV_8UC1, buffer);
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EXPECT_EQ(100, buffer.rows);
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EXPECT_EQ(100, buffer.cols);
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EXPECT_EQ(CV_8UC1, buffer.type());
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EXPECT_TRUE(buffer.isContinuous());
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EXPECT_EQ(buffer.cols * sizeof(uchar), buffer.step);
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cv::cuda::createContinuous(10, 1000, CV_8UC1, buffer);
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EXPECT_EQ(10, buffer.rows);
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EXPECT_EQ(1000, buffer.cols);
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EXPECT_EQ(CV_8UC1, buffer.type());
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EXPECT_TRUE(buffer.isContinuous());
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EXPECT_EQ(buffer.cols * sizeof(uchar), buffer.step);
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cv::cuda::createContinuous(10, 10, CV_8UC1, buffer);
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EXPECT_EQ(10, buffer.rows);
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EXPECT_EQ(10, buffer.cols);
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EXPECT_EQ(CV_8UC1, buffer.type());
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EXPECT_TRUE(buffer.isContinuous());
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EXPECT_EQ(buffer.cols * sizeof(uchar), buffer.step);
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cv::cuda::createContinuous(100, 100, CV_8UC1, buffer);
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EXPECT_EQ(100, buffer.rows);
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EXPECT_EQ(100, buffer.cols);
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EXPECT_EQ(CV_8UC1, buffer.type());
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EXPECT_TRUE(buffer.isContinuous());
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EXPECT_EQ(buffer.cols * sizeof(uchar), buffer.step);
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}
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INSTANTIATE_TEST_CASE_P(CUDA, CreateContinuous, ALL_DEVICES);
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}} // namespace
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#endif // HAVE_CUDA
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