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/*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) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// 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 materials 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 OpenCV Foundation 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"
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
using namespace cv;
int test_loop_times = 1; // TODO Read from command line / environment
#define DUMP_PROPERTY_XML(propertyName, propertyValue) \
do { \
std::stringstream ssName, ssValue;\
ssName << propertyName;\
ssValue << (propertyValue); \
::testing::Test::RecordProperty(ssName.str(), ssValue.str()); \
} while (false)
#define DUMP_MESSAGE_STDOUT(msg) \
do { \
std::cout << msg << std::endl; \
} while (false)
static std::string bytesToStringRepr(size_t value)
{
size_t b = value % 1024;
value /= 1024;
size_t kb = value % 1024;
value /= 1024;
size_t mb = value % 1024;
value /= 1024;
size_t gb = value;
std::ostringstream stream;
if (gb > 0)
stream << gb << " GB ";
if (mb > 0)
stream << mb << " MB ";
if (kb > 0)
stream << kb << " kB ";
if (b > 0)
stream << b << " B";
return stream.str();
}
void dumpOpenCLDevice()
{
using namespace cv::ocl;
try
{
std::vector<PlatformInfo2> platforms;
cv::ocl::getPlatfomsInfo(platforms);
if (platforms.size() > 0)
{
DUMP_MESSAGE_STDOUT("OpenCL Platforms: ");
for (size_t i = 0; i < platforms.size(); i++)
{
const PlatformInfo2* platform = &platforms[i];
DUMP_MESSAGE_STDOUT(" " << platform->name().c_str());
Device current_device;
for (int j = 0; j < platform->deviceNumber(); j++)
{
platform->getDevice(current_device, j);
const char* deviceTypeStr = current_device.type() == Device::TYPE_CPU
? ("CPU") : (current_device.type() == Device::TYPE_GPU ? current_device.hostUnifiedMemory() ? "iGPU" : "dGPU" : "unknown");
DUMP_MESSAGE_STDOUT( " " << deviceTypeStr << ": " << current_device.name().c_str() << " (" << current_device.version().c_str() << ")");
DUMP_PROPERTY_XML( cv::format("cv_ocl_platform_%d_device_%d", (int)i, (int)j ),
cv::format("(Platform=%s)(Type=%s)(Name=%s)(Version=%s)",
platform->name().c_str(), deviceTypeStr, current_device.name().c_str(), current_device.version().c_str()) );
}
}
}
else
{
DUMP_MESSAGE_STDOUT("OpenCL is not available");
DUMP_PROPERTY_XML("cv_ocl", "not available");
return;
}
const Device& device = Device::getDefault();
DUMP_MESSAGE_STDOUT("Current OpenCL device: ");
#if 0
DUMP_MESSAGE_STDOUT(" Platform = "<< device.getPlatform().name());
DUMP_PROPERTY_XML("cv_ocl_current_platformName", device.getPlatform().name());
#endif
const char* deviceTypeStr = device.type() == Device::TYPE_CPU
? ("CPU") : (device.type() == Device::TYPE_GPU ? device.hostUnifiedMemory() ? "iGPU" : "dGPU" : "unknown");
DUMP_MESSAGE_STDOUT(" Type = "<< deviceTypeStr);
DUMP_PROPERTY_XML("cv_ocl_current_deviceType", deviceTypeStr);
DUMP_MESSAGE_STDOUT(" Name = "<< device.name());
DUMP_PROPERTY_XML("cv_ocl_current_deviceName", device.name());
DUMP_MESSAGE_STDOUT(" Version = " << device.version());
DUMP_PROPERTY_XML("cv_ocl_current_deviceVersion", device.version());
DUMP_MESSAGE_STDOUT(" Compute units = "<< device.maxComputeUnits());
DUMP_PROPERTY_XML("cv_ocl_current_maxComputeUnits", device.maxComputeUnits());
DUMP_MESSAGE_STDOUT(" Max work group size = "<< device.maxWorkGroupSize());
DUMP_PROPERTY_XML("cv_ocl_current_maxWorkGroupSize", device.maxWorkGroupSize());
std::string localMemorySizeStr = bytesToStringRepr(device.localMemSize());
DUMP_MESSAGE_STDOUT(" Local memory size = " << localMemorySizeStr);
DUMP_PROPERTY_XML("cv_ocl_current_localMemSize", device.localMemSize());
std::string maxMemAllocSizeStr = bytesToStringRepr(device.maxMemAllocSize());
DUMP_MESSAGE_STDOUT(" Max memory allocation size = "<< maxMemAllocSizeStr);
DUMP_PROPERTY_XML("cv_ocl_current_maxMemAllocSize", device.maxMemAllocSize());
#if 0
const char* doubleSupportStr = device.haveDoubleSupport() ? "Yes" : "No";
DUMP_MESSAGE_STDOUT(" Double support = "<< doubleSupportStr);
DUMP_PROPERTY_XML("cv_ocl_current_haveDoubleSupport", device.haveDoubleSupport());
#else
const char* doubleSupportStr = device.doubleFPConfig() > 0 ? "Yes" : "No";
DUMP_MESSAGE_STDOUT(" Double support = "<< doubleSupportStr);
DUMP_PROPERTY_XML("cv_ocl_current_haveDoubleSupport", device.doubleFPConfig() > 0);
#endif
const char* isUnifiedMemoryStr = device.hostUnifiedMemory() ? "Yes" : "No";
DUMP_MESSAGE_STDOUT(" Host unified memory = "<< isUnifiedMemoryStr);
DUMP_PROPERTY_XML("cv_ocl_current_hostUnifiedMemory", device.hostUnifiedMemory());
}
catch (...)
{
DUMP_MESSAGE_STDOUT("Exception. Can't dump OpenCL info");
DUMP_MESSAGE_STDOUT("OpenCL device not available");
DUMP_PROPERTY_XML("cv_ocl", "not available");
}
}
#undef DUMP_MESSAGE_STDOUT
#undef DUMP_PROPERTY_XML
Mat TestUtils::readImage(const String &fileName, int flags)
{
return cv::imread(cvtest::TS::ptr()->get_data_path() + fileName, flags);
}
Mat TestUtils::readImageType(const String &fname, int type)
{
Mat src = readImage(fname, CV_MAT_CN(type) == 1 ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
if (CV_MAT_CN(type) == 4)
{
Mat temp;
cv::cvtColor(src, temp, cv::COLOR_BGR2BGRA);
swap(src, temp);
}
src.convertTo(src, CV_MAT_DEPTH(type));
return src;
}
double TestUtils::checkNorm(const Mat &m)
{
return norm(m, NORM_INF);
}
double TestUtils::checkNorm(const Mat &m1, const Mat &m2)
{
return norm(m1, m2, NORM_INF);
}
double TestUtils::checkSimilarity(const Mat &m1, const Mat &m2)
{
Mat diff;
matchTemplate(m1, m2, diff, CV_TM_CCORR_NORMED);
return std::abs(diff.at<float>(0, 0) - 1.f);
}
double TestUtils::checkRectSimilarity(Size sz, std::vector<Rect>& ob1, std::vector<Rect>& ob2)
{
double final_test_result = 0.0;
size_t sz1 = ob1.size();
size_t sz2 = ob2.size();
if(sz1 != sz2)
{
return sz1 > sz2 ? (double)(sz1 - sz2) : (double)(sz2 - sz1);
}
else
{
if(sz1==0 && sz2==0)
return 0;
cv::Mat cpu_result(sz, CV_8UC1);
cpu_result.setTo(0);
for(vector<Rect>::const_iterator r = ob1.begin(); r != ob1.end(); r++)
{
cv::Mat cpu_result_roi(cpu_result, *r);
cpu_result_roi.setTo(1);
cpu_result.copyTo(cpu_result);
}
int cpu_area = cv::countNonZero(cpu_result > 0);
cv::Mat gpu_result(sz, CV_8UC1);
gpu_result.setTo(0);
for(vector<Rect>::const_iterator r2 = ob2.begin(); r2 != ob2.end(); r2++)
{
cv::Mat gpu_result_roi(gpu_result, *r2);
gpu_result_roi.setTo(1);
gpu_result.copyTo(gpu_result);
}
cv::Mat result_;
multiply(cpu_result, gpu_result, result_);
int result = cv::countNonZero(result_ > 0);
if(cpu_area!=0 && result!=0)
final_test_result = 1.0 - (double)result/(double)cpu_area;
else if(cpu_area==0 && result!=0)
final_test_result = -1;
}
return final_test_result;
}
void TestUtils::showDiff(const Mat& src, const Mat& gold, const Mat& actual, double eps, bool alwaysShow)
{
Mat diff, diff_thresh;
absdiff(gold, actual, diff);
diff.convertTo(diff, CV_32F);
threshold(diff, diff_thresh, eps, 255.0, cv::THRESH_BINARY);
if (alwaysShow || cv::countNonZero(diff_thresh.reshape(1)) > 0)
{
#if 0
std::cout << "Source: " << std::endl << src << std::endl;
std::cout << "Expected: " << std::endl << gold << std::endl;
std::cout << "Actual: " << std::endl << actual << std::endl;
#endif
namedWindow("src", WINDOW_NORMAL);
namedWindow("gold", WINDOW_NORMAL);
namedWindow("actual", WINDOW_NORMAL);
namedWindow("diff", WINDOW_NORMAL);
imshow("src", src);
imshow("gold", gold);
imshow("actual", actual);
imshow("diff", diff);
cv::waitKey();
}
}
}} // namespace cvtest::ocl
#endif // HAVE_OPENCL