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Commit 02ced7b4 authored by Anatoly Baksheev's avatar Anatoly Baksheev
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refactoring npp tests

parent 21e22962
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Showing with 307 additions and 409 deletions
tests/gpu/src/arithm.cpp
View file @ 02ced7b4
......@@ -54,8 +54,8 @@ using namespace gpu;
class CV_GpuArithmTest : public CvTest
{
public:
CV_GpuArithmTest(const char* test_name, const char* test_funcs);
virtual ~CV_GpuArithmTest();
CV_GpuArithmTest(const char* test_name, const char* test_funcs) : CvTest(test_name, test_funcs) {}
virtual ~CV_GpuArithmTest() {}
protected:
void run(int);
......@@ -69,12 +69,6 @@ protected:
int CheckNorm(double d1, double d2);
};
CV_GpuArithmTest::CV_GpuArithmTest(const char* test_name, const char* test_funcs): CvTest(test_name, test_funcs)
{
}
CV_GpuArithmTest::~CV_GpuArithmTest() {}
int CV_GpuArithmTest::test(int type)
{
cv::Size sz(200, 200);
......@@ -91,14 +85,10 @@ int CV_GpuArithmTest::CheckNorm(const Mat& m1, const Mat& m2)
double ret = norm(m1, m2, NORM_INF);
if (ret < std::numeric_limits<double>::epsilon())
{
return CvTS::OK;
}
else
{
ts->printf(CvTS::LOG, "\nNorm: %f\n", ret);
return CvTS::FAIL_GENERIC;
}
ts->printf(CvTS::LOG, "\nNorm: %f\n", ret);
return CvTS::FAIL_GENERIC;
}
int CV_GpuArithmTest::CheckNorm(const Scalar& s1, const Scalar& s2)
......@@ -113,14 +103,10 @@ int CV_GpuArithmTest::CheckNorm(double d1, double d2)
double ret = ::fabs(d1 - d2);
if (ret < std::numeric_limits<double>::epsilon())
{
return CvTS::OK;
}
else
{
ts->printf(CvTS::LOG, "\nNorm: %f\n", ret);
return CvTS::FAIL_GENERIC;
}
ts->printf(CvTS::LOG, "\nNorm: %f\n", ret);
return CvTS::FAIL_GENERIC;
}
void CV_GpuArithmTest::run( int )
......@@ -128,8 +114,28 @@ void CV_GpuArithmTest::run( int )
int testResult = CvTS::OK;
try
{
const int types[] = {CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1};
const char* type_names[] = {"CV_8UC1", "CV_8UC3", "CV_8UC4", "CV_32FC1"};
const int type_count = sizeof(types)/sizeof(types[0]);
//run tests
ts->printf(CvTS::LOG, "\n========Start test 8UC1========\n");
for (int t = 0; t < type_count; ++t)
{
ts->printf(CvTS::LOG, "========Start test %s========\n", type_names[t]);
if (CvTS::OK == test(types[t]))
ts->printf(CvTS::LOG, "SUCCESS\n");
else
{
ts->printf(CvTS::LOG, "FAIL\n");
testResult = CvTS::FAIL_MISMATCH;
}
}
///!!! author, please remove commented code if loop above is equivalent.
/*ts->printf(CvTS::LOG, "\n========Start test 8UC1========\n");
if (test(CV_8UC1) == CvTS::OK)
ts->printf(CvTS::LOG, "\nSUCCESS\n");
else
......@@ -163,7 +169,7 @@ void CV_GpuArithmTest::run( int )
{
ts->printf(CvTS::LOG, "\nFAIL\n");
testResult = CvTS::FAIL_GENERIC;
}
}*/
}
catch(const cv::Exception& e)
{
......@@ -177,520 +183,411 @@ void CV_GpuArithmTest::run( int )
////////////////////////////////////////////////////////////////////////////////
// Add
class CV_GpuNppImageAddTest : public CV_GpuArithmTest
{
public:
CV_GpuNppImageAddTest();
protected:
virtual int test(const Mat& mat1, const Mat& mat2);
};
CV_GpuNppImageAddTest::CV_GpuNppImageAddTest(): CV_GpuArithmTest( "GPU-NppImageAdd", "add" )
struct CV_GpuNppImageAddTest : public CV_GpuArithmTest
{
}
CV_GpuNppImageAddTest() : CV_GpuArithmTest( "GPU-NppImageAdd", "add" ) {}
int CV_GpuNppImageAddTest::test( const Mat& mat1, const Mat& mat2 )
{
if (mat1.type() != CV_8UC1 && mat1.type() != CV_8UC4 && mat1.type() != CV_32FC1)
virtual int test(const Mat& mat1, const Mat& mat2)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
cv::Mat cpuRes;
cv::add(mat1, mat2, cpuRes);
if (mat1.type() != CV_8UC1 && mat1.type() != CV_8UC4 && mat1.type() != CV_32FC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
GpuMat gpu1(mat1);
GpuMat gpu2(mat2);
GpuMat gpuRes;
cv::gpu::add(gpu1, gpu2, gpuRes);
cv::Mat cpuRes;
cv::add(mat1, mat2, cpuRes);
return CheckNorm(cpuRes, gpuRes);
}
GpuMat gpu1(mat1);
GpuMat gpu2(mat2);
GpuMat gpuRes;
cv::gpu::add(gpu1, gpu2, gpuRes);
CV_GpuNppImageAddTest CV_GpuNppImageAdd_test;
return CheckNorm(cpuRes, gpuRes);
}
};
////////////////////////////////////////////////////////////////////////////////
// Sub
class CV_GpuNppImageSubtractTest : public CV_GpuArithmTest
{
public:
CV_GpuNppImageSubtractTest();
protected:
virtual int test(const Mat& mat1, const Mat& mat2);
};
CV_GpuNppImageSubtractTest::CV_GpuNppImageSubtractTest(): CV_GpuArithmTest( "GPU-NppImageSubtract", "subtract" )
struct CV_GpuNppImageSubtractTest : public CV_GpuArithmTest
{
}
CV_GpuNppImageSubtractTest() : CV_GpuArithmTest( "GPU-NppImageSubtract", "subtract" ) {}
int CV_GpuNppImageSubtractTest::test( const Mat& mat1, const Mat& mat2 )
{
if (mat1.type() != CV_8UC1 && mat1.type() != CV_8UC4 && mat1.type() != CV_32FC1)
int test( const Mat& mat1, const Mat& mat2 )
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
cv::Mat cpuRes;
cv::subtract(mat1, mat2, cpuRes);
if (mat1.type() != CV_8UC1 && mat1.type() != CV_8UC4 && mat1.type() != CV_32FC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
GpuMat gpu1(mat1);
GpuMat gpu2(mat2);
GpuMat gpuRes;
cv::gpu::subtract(gpu1, gpu2, gpuRes);
cv::Mat cpuRes;
cv::subtract(mat1, mat2, cpuRes);
return CheckNorm(cpuRes, gpuRes);
}
GpuMat gpu1(mat1);
GpuMat gpu2(mat2);
GpuMat gpuRes;
cv::gpu::subtract(gpu1, gpu2, gpuRes);
CV_GpuNppImageSubtractTest CV_GpuNppImageSubtract_test;
return CheckNorm(cpuRes, gpuRes);
}
};
////////////////////////////////////////////////////////////////////////////////
// multiply
class CV_GpuNppImageMultiplyTest : public CV_GpuArithmTest
struct CV_GpuNppImageMultiplyTest : public CV_GpuArithmTest
{
public:
CV_GpuNppImageMultiplyTest();
CV_GpuNppImageMultiplyTest() : CV_GpuArithmTest( "GPU-NppImageMultiply", "multiply" ) {}
protected:
virtual int test(const Mat& mat1, const Mat& mat2);
};
CV_GpuNppImageMultiplyTest::CV_GpuNppImageMultiplyTest(): CV_GpuArithmTest( "GPU-NppImageMultiply", "multiply" )
{
}
int CV_GpuNppImageMultiplyTest::test( const Mat& mat1, const Mat& mat2 )
{
if (mat1.type() != CV_8UC1 && mat1.type() != CV_8UC4 && mat1.type() != CV_32FC1)
int CV_GpuNppImageMultiplyTest::test( const Mat& mat1, const Mat& mat2 )
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
if (mat1.type() != CV_8UC1 && mat1.type() != CV_8UC4 && mat1.type() != CV_32FC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
cv::Mat cpuRes;
cv::multiply(mat1, mat2, cpuRes);
cv::Mat cpuRes;
cv::multiply(mat1, mat2, cpuRes);
GpuMat gpu1(mat1);
GpuMat gpu2(mat2);
GpuMat gpuRes;
cv::gpu::multiply(gpu1, gpu2, gpuRes);
GpuMat gpu1(mat1);
GpuMat gpu2(mat2);
GpuMat gpuRes;
cv::gpu::multiply(gpu1, gpu2, gpuRes);
return CheckNorm(cpuRes, gpuRes);
}
CV_GpuNppImageMultiplyTest CV_GpuNppImageMultiply_test;
return CheckNorm(cpuRes, gpuRes);
}
};
////////////////////////////////////////////////////////////////////////////////
// divide
class CV_GpuNppImageDivideTest : public CV_GpuArithmTest
{
public:
CV_GpuNppImageDivideTest();
protected:
virtual int test(const Mat& mat1, const Mat& mat2);
};
CV_GpuNppImageDivideTest::CV_GpuNppImageDivideTest(): CV_GpuArithmTest( "GPU-NppImageDivide", "divide" )
struct CV_GpuNppImageDivideTest : public CV_GpuArithmTest
{
}
CV_GpuNppImageDivideTest() : CV_GpuArithmTest( "GPU-NppImageDivide", "divide" ) {}
int CV_GpuNppImageDivideTest::test( const Mat& mat1, const Mat& mat2 )
{
if (mat1.type() != CV_8UC1 && mat1.type() != CV_8UC4 && mat1.type() != CV_32FC1)
int CV_GpuNppImageDivideTest::test( const Mat& mat1, const Mat& mat2 )
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
cv::Mat cpuRes;
cv::divide(mat1, mat2, cpuRes);
if (mat1.type() != CV_8UC1 && mat1.type() != CV_8UC4 && mat1.type() != CV_32FC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
GpuMat gpu1(mat1);
GpuMat gpu2(mat2);
GpuMat gpuRes;
cv::gpu::divide(gpu1, gpu2, gpuRes);
cv::Mat cpuRes;
cv::divide(mat1, mat2, cpuRes);
return CheckNorm(cpuRes, gpuRes);
}
GpuMat gpu1(mat1);
GpuMat gpu2(mat2);
GpuMat gpuRes;
cv::gpu::divide(gpu1, gpu2, gpuRes);
CV_GpuNppImageDivideTest CV_GpuNppImageDivide_test;
return CheckNorm(cpuRes, gpuRes);
}
};
////////////////////////////////////////////////////////////////////////////////
// transpose
class CV_GpuNppImageTransposeTest : public CV_GpuArithmTest
struct CV_GpuNppImageTransposeTest : public CV_GpuArithmTest
{
public:
CV_GpuNppImageTransposeTest();
CV_GpuNppImageTransposeTest() : CV_GpuArithmTest( "GPU-NppImageTranspose", "transpose" ) {}
protected:
virtual int test(const Mat& mat1, const Mat& mat2);
};
CV_GpuNppImageTransposeTest::CV_GpuNppImageTransposeTest(): CV_GpuArithmTest( "GPU-NppImageTranspose", "transpose" )
{
}
int CV_GpuNppImageTransposeTest::test( const Mat& mat1, const Mat& )
{
if (mat1.type() != CV_8UC1)
int CV_GpuNppImageTransposeTest::test( const Mat& mat1, const Mat& )
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
cv::Mat cpuRes;
cv::transpose(mat1, cpuRes);
if (mat1.type() != CV_8UC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
GpuMat gpu1(mat1);
GpuMat gpuRes;
cv::gpu::transpose(gpu1, gpuRes);
cv::Mat cpuRes;
cv::transpose(mat1, cpuRes);
return CheckNorm(cpuRes, gpuRes);
}
GpuMat gpu1(mat1);
GpuMat gpuRes;
cv::gpu::transpose(gpu1, gpuRes);
CV_GpuNppImageTransposeTest CV_GpuNppImageTranspose_test;
return CheckNorm(cpuRes, gpuRes);
}
};
////////////////////////////////////////////////////////////////////////////////
// absdiff
class CV_GpuNppImageAbsdiffTest : public CV_GpuArithmTest
{
public:
CV_GpuNppImageAbsdiffTest();
protected:
virtual int test(const Mat& mat1, const Mat& mat2);
};
CV_GpuNppImageAbsdiffTest::CV_GpuNppImageAbsdiffTest(): CV_GpuArithmTest( "GPU-NppImageAbsdiff", "absdiff" )
struct CV_GpuNppImageAbsdiffTest : public CV_GpuArithmTest
{
}
CV_GpuNppImageAbsdiffTest() : CV_GpuArithmTest( "GPU-NppImageAbsdiff", "absdiff" ) {}
int CV_GpuNppImageAbsdiffTest::test( const Mat& mat1, const Mat& mat2 )
{
if (mat1.type() != CV_8UC1 && mat1.type() != CV_32FC1)
int CV_GpuNppImageAbsdiffTest::test( const Mat& mat1, const Mat& mat2 )
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
cv::Mat cpuRes;
cv::absdiff(mat1, mat2, cpuRes);
if (mat1.type() != CV_8UC1 && mat1.type() != CV_32FC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
GpuMat gpu1(mat1);
GpuMat gpu2(mat2);
GpuMat gpuRes;
cv::gpu::absdiff(gpu1, gpu2, gpuRes);
cv::Mat cpuRes;
cv::absdiff(mat1, mat2, cpuRes);
return CheckNorm(cpuRes, gpuRes);
}
GpuMat gpu1(mat1);
GpuMat gpu2(mat2);
GpuMat gpuRes;
cv::gpu::absdiff(gpu1, gpu2, gpuRes);
CV_GpuNppImageAbsdiffTest CV_GpuNppImageAbsdiff_test;
return CheckNorm(cpuRes, gpuRes);
}
};
////////////////////////////////////////////////////////////////////////////////
// compare
class CV_GpuNppImageCompareTest : public CV_GpuArithmTest
struct CV_GpuNppImageCompareTest : public CV_GpuArithmTest
{
public:
CV_GpuNppImageCompareTest();
CV_GpuNppImageCompareTest() : CV_GpuArithmTest( "GPU-NppImageCompare", "compare" ) {}
protected:
virtual int test(const Mat& mat1, const Mat& mat2);
};
CV_GpuNppImageCompareTest::CV_GpuNppImageCompareTest(): CV_GpuArithmTest( "GPU-NppImageCompare", "compare" )
{
}
int CV_GpuNppImageCompareTest::test( const Mat& mat1, const Mat& mat2 )
{
if (mat1.type() != CV_32FC1)
int CV_GpuNppImageCompareTest::test( const Mat& mat1, const Mat& mat2 )
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
int cmp_codes[] = {CMP_EQ, CMP_GT, CMP_GE, CMP_LT, CMP_LE, CMP_NE};
const char* cmp_str[] = {"CMP_EQ", "CMP_GT", "CMP_GE", "CMP_LT", "CMP_LE", "CMP_NE"};
int cmp_num = sizeof(cmp_codes) / sizeof(int);
if (mat1.type() != CV_32FC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
int test_res = CvTS::OK;
int cmp_codes[] = {CMP_EQ, CMP_GT, CMP_GE, CMP_LT, CMP_LE, CMP_NE};
const char* cmp_str[] = {"CMP_EQ", "CMP_GT", "CMP_GE", "CMP_LT", "CMP_LE", "CMP_NE"};
int cmp_num = sizeof(cmp_codes) / sizeof(int);
for (int i = 0; i < cmp_num; ++i)
{
ts->printf(CvTS::LOG, "\nCompare operation: %s\n", cmp_str[i]);
int test_res = CvTS::OK;
cv::Mat cpuRes;
cv::compare(mat1, mat2, cpuRes, cmp_codes[i]);
for (int i = 0; i < cmp_num; ++i)
{
ts->printf(CvTS::LOG, "\nCompare operation: %s\n", cmp_str[i]);
GpuMat gpu1(mat1);
GpuMat gpu2(mat2);
GpuMat gpuRes;
cv::gpu::compare(gpu1, gpu2, gpuRes, cmp_codes[i]);
cv::Mat cpuRes;
cv::compare(mat1, mat2, cpuRes, cmp_codes[i]);
if (CheckNorm(cpuRes, gpuRes) != CvTS::OK)
test_res = CvTS::FAIL_GENERIC;
}
GpuMat gpu1(mat1);
GpuMat gpu2(mat2);
GpuMat gpuRes;
cv::gpu::compare(gpu1, gpu2, gpuRes, cmp_codes[i]);
return test_res;
}
if (CheckNorm(cpuRes, gpuRes) != CvTS::OK)
test_res = CvTS::FAIL_GENERIC;
}
CV_GpuNppImageCompareTest CV_GpuNppImageCompare_test;
return test_res;
}
};
////////////////////////////////////////////////////////////////////////////////
// meanStdDev
class CV_GpuNppImageMeanStdDevTest : public CV_GpuArithmTest
struct CV_GpuNppImageMeanStdDevTest : public CV_GpuArithmTest
{
public:
CV_GpuNppImageMeanStdDevTest();
CV_GpuNppImageMeanStdDevTest() : CV_GpuArithmTest( "GPU-NppImageMeanStdDev", "meanStdDev" ) {}
protected:
virtual int test(const Mat& mat1, const Mat& mat2);
};
CV_GpuNppImageMeanStdDevTest::CV_GpuNppImageMeanStdDevTest(): CV_GpuArithmTest( "GPU-NppImageMeanStdDev", "meanStdDev" )
{
}
int CV_GpuNppImageMeanStdDevTest::test( const Mat& mat1, const Mat& )
{
if (mat1.type() != CV_8UC1)
int CV_GpuNppImageMeanStdDevTest::test( const Mat& mat1, const Mat& )
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
Scalar cpumean;
Scalar cpustddev;
cv::meanStdDev(mat1, cpumean, cpustddev);
if (mat1.type() != CV_8UC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
GpuMat gpu1(mat1);
Scalar gpumean;
Scalar gpustddev;
cv::gpu::meanStdDev(gpu1, gpumean, gpustddev);
Scalar cpumean;
Scalar cpustddev;
cv::meanStdDev(mat1, cpumean, cpustddev);
int test_res = CvTS::OK;
GpuMat gpu1(mat1);
Scalar gpumean;
Scalar gpustddev;
cv::gpu::meanStdDev(gpu1, gpumean, gpustddev);
if (CheckNorm(cpumean, gpumean) != CvTS::OK)
{
ts->printf(CvTS::LOG, "\nMean FAILED\n");
test_res = CvTS::FAIL_GENERIC;
}
int test_res = CvTS::OK;
if (CheckNorm(cpustddev, gpustddev) != CvTS::OK)
{
ts->printf(CvTS::LOG, "\nStdDev FAILED\n");
test_res = CvTS::FAIL_GENERIC;
}
if (CheckNorm(cpumean, gpumean) != CvTS::OK)
{
ts->printf(CvTS::LOG, "\nMean FAILED\n");
test_res = CvTS::FAIL_GENERIC;
}
return test_res;
}
if (CheckNorm(cpustddev, gpustddev) != CvTS::OK)
{
ts->printf(CvTS::LOG, "\nStdDev FAILED\n");
test_res = CvTS::FAIL_GENERIC;
}
CV_GpuNppImageMeanStdDevTest CV_GpuNppImageMeanStdDev_test;
return test_res;
}
};
////////////////////////////////////////////////////////////////////////////////
// norm
class CV_GpuNppImageNormTest : public CV_GpuArithmTest
{
public:
CV_GpuNppImageNormTest();
protected:
virtual int test(const Mat& mat1, const Mat& mat2);
};
CV_GpuNppImageNormTest::CV_GpuNppImageNormTest(): CV_GpuArithmTest( "GPU-NppImageNorm", "norm" )
struct CV_GpuNppImageNormTest : public CV_GpuArithmTest
{
}
CV_GpuNppImageNormTest() : CV_GpuArithmTest( "GPU-NppImageNorm", "norm" ) {}
int CV_GpuNppImageNormTest::test( const Mat& mat1, const Mat& mat2 )
{
if (mat1.type() != CV_8UC1)
int CV_GpuNppImageNormTest::test( const Mat& mat1, const Mat& mat2 )
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
if (mat1.type() != CV_8UC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
int norms[] = {NORM_INF, NORM_L1, NORM_L2};
const char* norms_str[] = {"NORM_INF", "NORM_L1", "NORM_L2"};
int norms_num = sizeof(norms) / sizeof(int);
int norms[] = {NORM_INF, NORM_L1, NORM_L2};
const char* norms_str[] = {"NORM_INF", "NORM_L1", "NORM_L2"};
int norms_num = sizeof(norms) / sizeof(int);
int test_res = CvTS::OK;
int test_res = CvTS::OK;
for (int i = 0; i < norms_num; ++i)
{
ts->printf(CvTS::LOG, "\nNorm type: %s\n", norms_str[i]);
for (int i = 0; i < norms_num; ++i)
{
ts->printf(CvTS::LOG, "\nNorm type: %s\n", norms_str[i]);
double cpu_norm = cv::norm(mat1, mat2, norms[i]);
double cpu_norm = cv::norm(mat1, mat2, norms[i]);
GpuMat gpu1(mat1);
GpuMat gpu2(mat2);
double gpu_norm = cv::gpu::norm(gpu1, gpu2, norms[i]);
if (CheckNorm(cpu_norm, gpu_norm) != CvTS::OK)
test_res = CvTS::FAIL_GENERIC;
}
GpuMat gpu1(mat1);
GpuMat gpu2(mat2);
double gpu_norm = cv::gpu::norm(gpu1, gpu2, norms[i]);
return test_res;
}
if (CheckNorm(cpu_norm, gpu_norm) != CvTS::OK)
test_res = CvTS::FAIL_GENERIC;
}
CV_GpuNppImageNormTest CV_GpuNppImageNorm_test;
return test_res;
}
};
////////////////////////////////////////////////////////////////////////////////
// flip
class CV_GpuNppImageFlipTest : public CV_GpuArithmTest
struct CV_GpuNppImageFlipTest : public CV_GpuArithmTest
{
public:
CV_GpuNppImageFlipTest();
protected:
virtual int test(const Mat& mat1, const Mat& mat2);
};
CV_GpuNppImageFlipTest() : CV_GpuArithmTest( "GPU-NppImageFlip", "flip" ) {}
CV_GpuNppImageFlipTest::CV_GpuNppImageFlipTest(): CV_GpuArithmTest( "GPU-NppImageFlip", "flip" )
{
}
int CV_GpuNppImageFlipTest::test( const Mat& mat1, const Mat& )
{
if (mat1.type() != CV_8UC1 && mat1.type() != CV_8UC4)
int CV_GpuNppImageFlipTest::test( const Mat& mat1, const Mat& )
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
int flip_codes[] = {0, 1, -1};
const char* flip_axis[] = {"X", "Y", "Both"};
int flip_codes_num = sizeof(flip_codes) / sizeof(int);
if (mat1.type() != CV_8UC1 && mat1.type() != CV_8UC4)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
int test_res = CvTS::OK;
int flip_codes[] = {0, 1, -1};
const char* flip_axis[] = {"X", "Y", "Both"};
int flip_codes_num = sizeof(flip_codes) / sizeof(int);
for (int i = 0; i < flip_codes_num; ++i)
{
ts->printf(CvTS::LOG, "\nFlip Axis: %s\n", flip_axis[i]);
int test_res = CvTS::OK;
Mat cpu_res;
cv::flip(mat1, cpu_res, flip_codes[i]);
GpuMat gpu1(mat1);
GpuMat gpu_res;
cv::gpu::flip(gpu1, gpu_res, flip_codes[i]);
for (int i = 0; i < flip_codes_num; ++i)
{
ts->printf(CvTS::LOG, "\nFlip Axis: %s\n", flip_axis[i]);
if (CheckNorm(cpu_res, gpu_res) != CvTS::OK)
test_res = CvTS::FAIL_GENERIC;
}
Mat cpu_res;
cv::flip(mat1, cpu_res, flip_codes[i]);
GpuMat gpu1(mat1);
GpuMat gpu_res;
cv::gpu::flip(gpu1, gpu_res, flip_codes[i]);
return test_res;
}
if (CheckNorm(cpu_res, gpu_res) != CvTS::OK)
test_res = CvTS::FAIL_GENERIC;
}
CV_GpuNppImageFlipTest CV_GpuNppImageFlip_test;
return test_res;
}
};
////////////////////////////////////////////////////////////////////////////////
// sum
class CV_GpuNppImageSumTest : public CV_GpuArithmTest
struct CV_GpuNppImageSumTest : public CV_GpuArithmTest
{
public:
CV_GpuNppImageSumTest();
CV_GpuNppImageSumTest() : CV_GpuArithmTest( "GPU-NppImageSum", "sum" ) {}
protected:
virtual int test(const Mat& mat1, const Mat& mat2);
};
CV_GpuNppImageSumTest::CV_GpuNppImageSumTest(): CV_GpuArithmTest( "GPU-NppImageSum", "sum" )
{
}
int CV_GpuNppImageSumTest::test( const Mat& mat1, const Mat& )
{
if (mat1.type() != CV_8UC1 && mat1.type() != CV_8UC4)
int CV_GpuNppImageSumTest::test( const Mat& mat1, const Mat& )
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
Scalar cpures = cv::sum(mat1);
if (mat1.type() != CV_8UC1 && mat1.type() != CV_8UC4)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
GpuMat gpu1(mat1);
Scalar gpures = cv::gpu::sum(gpu1);
Scalar cpures = cv::sum(mat1);
return CheckNorm(cpures, gpures);
}
GpuMat gpu1(mat1);
Scalar gpures = cv::gpu::sum(gpu1);
CV_GpuNppImageSumTest CV_GpuNppImageSum_test;
return CheckNorm(cpures, gpures);
}
};
////////////////////////////////////////////////////////////////////////////////
// minNax
class CV_GpuNppImageMinNaxTest : public CV_GpuArithmTest
struct CV_GpuNppImageMinNaxTest : public CV_GpuArithmTest
{
public:
CV_GpuNppImageMinNaxTest();
CV_GpuNppImageMinNaxTest() : CV_GpuArithmTest( "GPU-NppImageMinNax", "minNax" ) {}
protected:
virtual int test(const Mat& mat1, const Mat& mat2);
};
CV_GpuNppImageMinNaxTest::CV_GpuNppImageMinNaxTest(): CV_GpuArithmTest( "GPU-NppImageMinNax", "minNax" )
{
}
int CV_GpuNppImageMinNaxTest::test( const Mat& mat1, const Mat& )
{
if (mat1.type() != CV_8UC1)
int CV_GpuNppImageMinNaxTest::test( const Mat& mat1, const Mat& )
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
double cpumin, cpumax;
cv::minMaxLoc(mat1, &cpumin, &cpumax);
if (mat1.type() != CV_8UC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
GpuMat gpu1(mat1);
double gpumin, gpumax;
cv::gpu::minMax(gpu1, &gpumin, &gpumax);
double cpumin, cpumax;
cv::minMaxLoc(mat1, &cpumin, &cpumax);
return (CheckNorm(cpumin, gpumin) == CvTS::OK && CheckNorm(cpumax, gpumax) == CvTS::OK) ? CvTS::OK : CvTS::FAIL_GENERIC;
}
GpuMat gpu1(mat1);
double gpumin, gpumax;
cv::gpu::minMax(gpu1, &gpumin, &gpumax);
CV_GpuNppImageMinNaxTest CV_GpuNppImageMinNax_test;
return (CheckNorm(cpumin, gpumin) == CvTS::OK && CheckNorm(cpumax, gpumax) == CvTS::OK) ? CvTS::OK : CvTS::FAIL_GENERIC;
}
};
////////////////////////////////////////////////////////////////////////////////
// LUT
class CV_GpuNppImageLUTTest : public CV_GpuArithmTest
struct CV_GpuNppImageLUTTest : public CV_GpuArithmTest
{
public:
CV_GpuNppImageLUTTest();
CV_GpuNppImageLUTTest() : CV_GpuArithmTest( "GPU-NppImageLUT", "LUT" ) {}
protected:
virtual int test(const Mat& mat1, const Mat& mat2);
};
int CV_GpuNppImageLUTTest::test( const Mat& mat1, const Mat& )
{
if (mat1.type() != CV_8UC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
CV_GpuNppImageLUTTest::CV_GpuNppImageLUTTest(): CV_GpuArithmTest( "GPU-NppImageLUT", "LUT" )
{
}
cv::Mat lut(1, 256, CV_32SC1);
cv::RNG rng(*ts->get_rng());
rng.fill(lut, cv::RNG::UNIFORM, cv::Scalar::all(100), cv::Scalar::all(200));
int CV_GpuNppImageLUTTest::test( const Mat& mat1, const Mat& )
{
if (mat1.type() != CV_8UC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
cv::Mat cpuRes;
cv::LUT(mat1, lut, cpuRes);
cpuRes.convertTo(cpuRes, CV_8U);
cv::Mat lut(1, 256, CV_32SC1);
cv::RNG rng(*ts->get_rng());
rng.fill(lut, cv::RNG::UNIFORM, cv::Scalar::all(100), cv::Scalar::all(200));
cv::gpu::GpuMat gpuRes;
cv::gpu::LUT(GpuMat(mat1), lut, gpuRes);
cv::Mat cpuRes;
cv::LUT(mat1, lut, cpuRes);
cpuRes.convertTo(cpuRes, CV_8U);
return CheckNorm(cpuRes, gpuRes);
}
};
cv::gpu::GpuMat gpuRes;
cv::gpu::LUT(GpuMat(mat1), lut, gpuRes);
return CheckNorm(cpuRes, gpuRes);
}
CV_GpuNppImageLUTTest CV_GpuNppImageLUT_test;
// If we comment some tests, we may foget/miss to uncomment it after.
// Placing all test definitions in one place
// makes us know about what tests are commented.
CV_GpuNppImageAddTest CV_GpuNppImageAdd_test;
CV_GpuNppImageSubtractTest CV_GpuNppImageSubtract_test;
CV_GpuNppImageMultiplyTest CV_GpuNppImageMultiply_test;
CV_GpuNppImageDivideTest CV_GpuNppImageDivide_test;
CV_GpuNppImageTransposeTest CV_GpuNppImageTranspose_test;
CV_GpuNppImageAbsdiffTest CV_GpuNppImageAbsdiff_test;
CV_GpuNppImageCompareTest CV_GpuNppImageCompare_test;
CV_GpuNppImageMeanStdDevTest CV_GpuNppImageMeanStdDev_test;
CV_GpuNppImageNormTest CV_GpuNppImageNorm_test;
CV_GpuNppImageFlipTest CV_GpuNppImageFlip_test;
//CV_GpuNppImageSumTest CV_GpuNppImageSum_test;
CV_GpuNppImageMinNaxTest CV_GpuNppImageMinNax_test;
CV_GpuNppImageLUTTest CV_GpuNppImageLUT_test;
\ No newline at end of file
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