mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
186 lines
5.5 KiB
186 lines
5.5 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
|
// |
|
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
|
// |
|
// By downloading, copying, installing or using the software you agree to this license. |
|
// If you do not agree to this license, do not download, install, |
|
// copy or use the software. |
|
// |
|
// |
|
// License Agreement |
|
// For Open Source Computer Vision Library |
|
// |
|
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved. |
|
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. |
|
// Third party copyrights are property of their respective owners. |
|
// |
|
// @Authors |
|
// Fangfang Bai, fangfang@multicorewareinc.com |
|
// Jin Ma, jin@multicorewareinc.com |
|
// |
|
// Redistribution and use in source and binary forms, with or without modification, |
|
// are permitted provided that the following conditions are met: |
|
// |
|
// * Redistribution's of source code must retain the above copyright notice, |
|
// this list of conditions and the following disclaimer. |
|
// |
|
// * Redistribution's in binary form must reproduce the above copyright notice, |
|
// this list of conditions and the following disclaimer in the documentation |
|
// and/or other oclMaterials provided with the distribution. |
|
// |
|
// * The name of the copyright holders may not be used to endorse or promote products |
|
// derived from this software without specific prior written permission. |
|
// |
|
// This software is provided by the copyright holders and contributors as is and |
|
// any express or implied warranties, including, but not limited to, the implied |
|
// warranties of merchantability and fitness for a particular purpose are disclaimed. |
|
// In no event shall the Intel Corporation or contributors be liable for any direct, |
|
// indirect, incidental, special, exemplary, or consequential damages |
|
// (including, but not limited to, procurement of substitute goods or services; |
|
// loss of use, data, or profits; or business interruption) however caused |
|
// and on any theory of liability, whether in contract, strict liability, |
|
// or tort (including negligence or otherwise) arising in any way out of |
|
// the use of this software, even if advised of the possibility of such damage. |
|
// |
|
//M*/ |
|
#include "precomp.hpp" |
|
|
|
///////////// ConvertTo//////////////////////// |
|
PERFTEST(ConvertTo) |
|
{ |
|
Mat src, dst, ocl_dst; |
|
ocl::oclMat d_src, d_dst; |
|
|
|
int all_type[] = {CV_8UC1, CV_8UC4}; |
|
std::string type_name[] = {"CV_8UC1", "CV_8UC4"}; |
|
|
|
for (int size = Min_Size; size <= Max_Size; size *= Multiple) |
|
{ |
|
for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++) |
|
{ |
|
SUBTEST << size << 'x' << size << "; " << type_name[j] << " to 32FC1"; |
|
|
|
gen(src, size, size, all_type[j], 0, 256); |
|
//gen(dst, size, size, all_type[j], 0, 256); |
|
|
|
//d_dst.upload(dst); |
|
|
|
src.convertTo(dst, CV_32FC1); |
|
|
|
CPU_ON; |
|
src.convertTo(dst, CV_32FC1); |
|
CPU_OFF; |
|
|
|
d_src.upload(src); |
|
|
|
WARMUP_ON; |
|
d_src.convertTo(d_dst, CV_32FC1); |
|
WARMUP_OFF; |
|
|
|
GPU_ON; |
|
d_src.convertTo(d_dst, CV_32FC1); |
|
GPU_OFF; |
|
|
|
GPU_FULL_ON; |
|
d_src.upload(src); |
|
d_src.convertTo(d_dst, CV_32FC1); |
|
d_dst.download(ocl_dst); |
|
GPU_FULL_OFF; |
|
|
|
TestSystem::instance().ExpectedMatNear(dst, ocl_dst, 0.0); |
|
} |
|
|
|
} |
|
} |
|
///////////// copyTo//////////////////////// |
|
PERFTEST(copyTo) |
|
{ |
|
Mat src, dst, ocl_dst; |
|
ocl::oclMat d_src, d_dst; |
|
|
|
int all_type[] = {CV_8UC1, CV_8UC4}; |
|
std::string type_name[] = {"CV_8UC1", "CV_8UC4"}; |
|
|
|
for (int size = Min_Size; size <= Max_Size; size *= Multiple) |
|
{ |
|
for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++) |
|
{ |
|
SUBTEST << size << 'x' << size << "; " << type_name[j] ; |
|
|
|
gen(src, size, size, all_type[j], 0, 256); |
|
//gen(dst, size, size, all_type[j], 0, 256); |
|
|
|
//d_dst.upload(dst); |
|
|
|
src.copyTo(dst); |
|
|
|
CPU_ON; |
|
src.copyTo(dst); |
|
CPU_OFF; |
|
|
|
d_src.upload(src); |
|
|
|
WARMUP_ON; |
|
d_src.copyTo(d_dst); |
|
WARMUP_OFF; |
|
|
|
GPU_ON; |
|
d_src.copyTo(d_dst); |
|
GPU_OFF; |
|
|
|
GPU_FULL_ON; |
|
d_src.upload(src); |
|
d_src.copyTo(d_dst); |
|
d_dst.download(ocl_dst); |
|
GPU_FULL_OFF; |
|
|
|
TestSystem::instance().ExpectedMatNear(dst, ocl_dst, 0.0); |
|
} |
|
|
|
} |
|
} |
|
///////////// setTo//////////////////////// |
|
PERFTEST(setTo) |
|
{ |
|
Mat src, ocl_src; |
|
Scalar val(1, 2, 3, 4); |
|
ocl::oclMat d_src; |
|
|
|
int all_type[] = {CV_8UC1, CV_8UC4}; |
|
std::string type_name[] = {"CV_8UC1", "CV_8UC4"}; |
|
|
|
for (int size = Min_Size; size <= Max_Size; size *= Multiple) |
|
{ |
|
for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++) |
|
{ |
|
SUBTEST << size << 'x' << size << "; " << type_name[j] ; |
|
|
|
gen(src, size, size, all_type[j], 0, 256); |
|
|
|
src.setTo(val); |
|
|
|
CPU_ON; |
|
src.setTo(val); |
|
CPU_OFF; |
|
|
|
d_src.upload(src); |
|
|
|
WARMUP_ON; |
|
d_src.setTo(val); |
|
WARMUP_OFF; |
|
|
|
d_src.download(ocl_src); |
|
TestSystem::instance().ExpectedMatNear(src, ocl_src, 1.0); |
|
|
|
GPU_ON;; |
|
d_src.setTo(val); |
|
GPU_OFF; |
|
|
|
GPU_FULL_ON; |
|
d_src.upload(src); |
|
d_src.setTo(val); |
|
GPU_FULL_OFF; |
|
} |
|
|
|
} |
|
} |