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Open Source Computer Vision Library
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329 lines
8.8 KiB
329 lines
8.8 KiB
/*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 GpuMaterials 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 bpied warranties, including, but not limited to, the bpied |
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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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namespace { |
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//////////////////////////////////////////////////////////////////////////////// |
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// SetTo |
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PARAM_TEST_CASE(SetTo, cv::gpu::DeviceInfo, cv::Size, MatType, UseRoi) |
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{ |
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cv::gpu::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::gpu::setDevice(devInfo.deviceID()); |
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} |
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}; |
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TEST_P(SetTo, Zero) |
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{ |
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cv::Scalar zero = cv::Scalar::all(0); |
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cv::gpu::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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TEST_P(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::gpu::NATIVE_DOUBLE)) |
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{ |
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try |
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{ |
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cv::gpu::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_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::gpu::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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TEST_P(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::gpu::NATIVE_DOUBLE)) |
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{ |
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try |
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{ |
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cv::gpu::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_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::gpu::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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TEST_P(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::gpu::NATIVE_DOUBLE)) |
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{ |
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try |
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{ |
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cv::gpu::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_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::gpu::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(GPU_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(CopyTo, cv::gpu::DeviceInfo, cv::Size, MatType, UseRoi) |
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{ |
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cv::gpu::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::gpu::setDevice(devInfo.deviceID()); |
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} |
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}; |
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TEST_P(CopyTo, WithOutMask) |
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{ |
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cv::Mat src = randomMat(size, type); |
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cv::gpu::GpuMat d_src = loadMat(src, useRoi); |
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cv::gpu::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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TEST_P(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::gpu::NATIVE_DOUBLE)) |
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{ |
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try |
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{ |
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cv::gpu::GpuMat d_src = loadMat(src); |
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cv::gpu::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_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::gpu::GpuMat d_src = loadMat(src, useRoi); |
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cv::gpu::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(GPU_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(ConvertTo, cv::gpu::DeviceInfo, cv::Size, MatDepth, MatDepth, UseRoi) |
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{ |
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cv::gpu::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::gpu::setDevice(devInfo.deviceID()); |
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} |
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}; |
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TEST_P(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::gpu::NATIVE_DOUBLE)) |
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{ |
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try |
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{ |
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cv::gpu::GpuMat d_src = loadMat(src); |
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cv::gpu::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_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::gpu::GpuMat d_src = loadMat(src, useRoi); |
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cv::gpu::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, 0.0); |
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} |
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} |
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TEST_P(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::gpu::NATIVE_DOUBLE)) |
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{ |
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try |
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{ |
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cv::gpu::GpuMat d_src = loadMat(src); |
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cv::gpu::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_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::gpu::GpuMat d_src = loadMat(src, useRoi); |
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cv::gpu::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(GPU_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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} // namespace |
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#endif // HAVE_CUDA
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