mirror of
https://github.com/opencv/opencv.git
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362 lines
9.9 KiB
C++
362 lines
9.9 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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using namespace cvtest;
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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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GPU_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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GPU_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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GPU_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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GPU_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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GPU_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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GPU_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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GPU_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, 1.0);
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}
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}
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GPU_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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////////////////////////////////////////////////////////////////////////////////
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// ensureSizeIsEnough
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struct EnsureSizeIsEnough : testing::TestWithParam<cv::gpu::DeviceInfo>
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{
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virtual void SetUp()
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{
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cv::gpu::DeviceInfo devInfo = GetParam();
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cv::gpu::setDevice(devInfo.deviceID());
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}
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};
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GPU_TEST_P(EnsureSizeIsEnough, BufferReuse)
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{
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cv::gpu::GpuMat buffer(100, 100, CV_8U);
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cv::gpu::GpuMat old = buffer;
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// don't reallocate memory
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cv::gpu::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::gpu::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(GPU_GpuMat, EnsureSizeIsEnough, ALL_DEVICES);
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#endif // HAVE_CUDA
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