412 lines
		
	
	
		
			12 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			412 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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| 
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| #include "test_precomp.hpp"
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| 
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| #ifdef HAVE_CUDA
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| 
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| #include "opencv2/core/cuda.hpp"
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| #include "opencv2/ts/cuda_test.hpp"
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| 
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| using namespace cvtest;
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| 
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| ////////////////////////////////////////////////////////////////////////////////
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| // SetTo
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| 
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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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| 
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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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| 
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|         cv::cuda::setDevice(devInfo.deviceID());
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|     }
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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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| 
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|     cv::cuda::GpuMat mat = createMat(size, type, useRoi);
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|     mat.setTo(zero);
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| 
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|     EXPECT_MAT_NEAR(cv::Mat::zeros(size, type), mat, 0.0);
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| }
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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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| 
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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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| 
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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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| 
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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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| 
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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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| 
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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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| 
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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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| 
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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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| 
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|         mat_gold.setTo(val, mask);
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| 
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|         EXPECT_MAT_NEAR(mat_gold, mat, 0.0);
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|     }
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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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| ////////////////////////////////////////////////////////////////////////////////
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| // CopyTo
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| 
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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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| 
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| 
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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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| 
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|         cv::cuda::setDevice(devInfo.deviceID());
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|     }
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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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| 
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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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| 
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|     EXPECT_MAT_NEAR(src, dst, 0.0);
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| }
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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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| 
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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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| 
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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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| 
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|         EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
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|     }
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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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| ////////////////////////////////////////////////////////////////////////////////
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| // ConvertTo
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| 
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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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| 
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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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| 
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|         cv::cuda::setDevice(devInfo.deviceID());
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|     }
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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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| 
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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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| 
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|         cv::Mat dst_gold;
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|         src.convertTo(dst_gold, depth2);
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| 
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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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| 
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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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| 
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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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| 
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|         cv::Mat dst_gold;
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|         src.convertTo(dst_gold, depth2, a, b);
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| 
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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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| 
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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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| ////////////////////////////////////////////////////////////////////////////////
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| // ensureSizeIsEnough
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| 
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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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| 
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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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| 
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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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| 
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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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| 
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| INSTANTIATE_TEST_CASE_P(CUDA, EnsureSizeIsEnough, ALL_DEVICES);
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| 
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| ////////////////////////////////////////////////////////////////////////////////
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| // createContinuous
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| 
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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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| 
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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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| 
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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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|     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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| 
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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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| 
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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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| 
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| INSTANTIATE_TEST_CASE_P(CUDA, CreateContinuous, ALL_DEVICES);
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| 
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| #endif // HAVE_CUDA
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