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gpu test refactoring

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pull/13383/head
Anatoly Baksheev 14 years ago
parent 02ced7b44c
commit 91b5c97d8d
13 changed files with 570 additions and 615 deletions
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  1. 26
      tests/gpu/src/arithm.cpp
  2. 477
      tests/gpu/src/imgproc_gpu.cpp
  3. 105
      tests/gpu/src/meanshift.cpp
  4. 15
      tests/gpu/src/morf_filters.cpp
  5. 32
      tests/gpu/src/operator_async_call.cpp
  6. 11
      tests/gpu/src/operator_convert_to.cpp
  7. 28
      tests/gpu/src/operator_copy_to.cpp
  8. 8
      tests/gpu/src/operator_set_to.cpp
  9. 167
      tests/gpu/src/split_merge.cpp
  10. 73
      tests/gpu/src/stereo_bm.cpp
  11. 92
      tests/gpu/src/stereo_bm_async.cpp
  12. 76
      tests/gpu/src/stereo_bp.cpp
  13. 75
      tests/gpu/src/stereo_csbp.cpp

26
tests/gpu/src/arithm.cpp
Unescape View File

@ -240,7 +240,7 @@ struct CV_GpuNppImageMultiplyTest : public CV_GpuArithmTest
{
CV_GpuNppImageMultiplyTest() : CV_GpuArithmTest( "GPU-NppImageMultiply", "multiply" ) {}
int CV_GpuNppImageMultiplyTest::test( const Mat& mat1, const Mat& mat2 )
int test( const Mat& mat1, const Mat& mat2 )
{
if (mat1.type() != CV_8UC1 && mat1.type() != CV_8UC4 && mat1.type() != CV_32FC1)
{
@ -266,7 +266,7 @@ struct CV_GpuNppImageDivideTest : public CV_GpuArithmTest
{
CV_GpuNppImageDivideTest() : CV_GpuArithmTest( "GPU-NppImageDivide", "divide" ) {}
int CV_GpuNppImageDivideTest::test( const Mat& mat1, const Mat& mat2 )
int test( const Mat& mat1, const Mat& mat2 )
{
if (mat1.type() != CV_8UC1 && mat1.type() != CV_8UC4 && mat1.type() != CV_32FC1)
{
@ -292,7 +292,7 @@ struct CV_GpuNppImageTransposeTest : public CV_GpuArithmTest
{
CV_GpuNppImageTransposeTest() : CV_GpuArithmTest( "GPU-NppImageTranspose", "transpose" ) {}
int CV_GpuNppImageTransposeTest::test( const Mat& mat1, const Mat& )
int test( const Mat& mat1, const Mat& )
{
if (mat1.type() != CV_8UC1)
{
@ -317,7 +317,7 @@ struct CV_GpuNppImageAbsdiffTest : public CV_GpuArithmTest
{
CV_GpuNppImageAbsdiffTest() : CV_GpuArithmTest( "GPU-NppImageAbsdiff", "absdiff" ) {}
int CV_GpuNppImageAbsdiffTest::test( const Mat& mat1, const Mat& mat2 )
int test( const Mat& mat1, const Mat& mat2 )
{
if (mat1.type() != CV_8UC1 && mat1.type() != CV_32FC1)
{
@ -343,7 +343,7 @@ struct CV_GpuNppImageCompareTest : public CV_GpuArithmTest
{
CV_GpuNppImageCompareTest() : CV_GpuArithmTest( "GPU-NppImageCompare", "compare" ) {}
int CV_GpuNppImageCompareTest::test( const Mat& mat1, const Mat& mat2 )
int test( const Mat& mat1, const Mat& mat2 )
{
if (mat1.type() != CV_32FC1)
{
@ -383,7 +383,7 @@ struct CV_GpuNppImageMeanStdDevTest : public CV_GpuArithmTest
{
CV_GpuNppImageMeanStdDevTest() : CV_GpuArithmTest( "GPU-NppImageMeanStdDev", "meanStdDev" ) {}
int CV_GpuNppImageMeanStdDevTest::test( const Mat& mat1, const Mat& )
int test( const Mat& mat1, const Mat& )
{
if (mat1.type() != CV_8UC1)
{
@ -424,7 +424,7 @@ struct CV_GpuNppImageNormTest : public CV_GpuArithmTest
{
CV_GpuNppImageNormTest() : CV_GpuArithmTest( "GPU-NppImageNorm", "norm" ) {}
int CV_GpuNppImageNormTest::test( const Mat& mat1, const Mat& mat2 )
int test( const Mat& mat1, const Mat& mat2 )
{
if (mat1.type() != CV_8UC1)
{
@ -462,7 +462,7 @@ struct CV_GpuNppImageFlipTest : public CV_GpuArithmTest
{
CV_GpuNppImageFlipTest() : CV_GpuArithmTest( "GPU-NppImageFlip", "flip" ) {}
int CV_GpuNppImageFlipTest::test( const Mat& mat1, const Mat& )
int test( const Mat& mat1, const Mat& )
{
if (mat1.type() != CV_8UC1 && mat1.type() != CV_8UC4)
{
@ -501,7 +501,7 @@ struct CV_GpuNppImageSumTest : public CV_GpuArithmTest
{
CV_GpuNppImageSumTest() : CV_GpuArithmTest( "GPU-NppImageSum", "sum" ) {}
int CV_GpuNppImageSumTest::test( const Mat& mat1, const Mat& )
int test( const Mat& mat1, const Mat& )
{
if (mat1.type() != CV_8UC1 && mat1.type() != CV_8UC4)
{
@ -524,7 +524,7 @@ struct CV_GpuNppImageMinNaxTest : public CV_GpuArithmTest
{
CV_GpuNppImageMinNaxTest() : CV_GpuArithmTest( "GPU-NppImageMinNax", "minNax" ) {}
int CV_GpuNppImageMinNaxTest::test( const Mat& mat1, const Mat& )
int test( const Mat& mat1, const Mat& )
{
if (mat1.type() != CV_8UC1)
{
@ -549,7 +549,7 @@ struct CV_GpuNppImageLUTTest : public CV_GpuArithmTest
{
CV_GpuNppImageLUTTest() : CV_GpuArithmTest( "GPU-NppImageLUT", "LUT" ) {}
int CV_GpuNppImageLUTTest::test( const Mat& mat1, const Mat& )
int test( const Mat& mat1, const Mat& )
{
if (mat1.type() != CV_8UC1)
{
@ -572,7 +572,9 @@ struct CV_GpuNppImageLUTTest : public CV_GpuArithmTest
}
};
/////////////////////////////////////////////////////////////////////////////
/////////////////// tests registration /////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////
// If we comment some tests, we may foget/miss to uncomment it after.
// Placing all test definitions in one place

477
tests/gpu/src/imgproc_gpu.cpp
Unescape View File

@ -54,8 +54,8 @@ using namespace gpu;
class CV_GpuImageProcTest : public CvTest
{
public:
CV_GpuImageProcTest(const char* test_name, const char* test_funcs);
virtual ~CV_GpuImageProcTest();
CV_GpuImageProcTest(const char* test_name, const char* test_funcs) : CvTest(test_name, test_funcs) {}
virtual ~CV_GpuImageProcTest() {}
protected:
void run(int);
@ -70,11 +70,6 @@ protected:
int CheckNorm(const Mat& m1, const Mat& m2);
};
CV_GpuImageProcTest::CV_GpuImageProcTest(const char* test_name, const char* test_funcs): CvTest(test_name, test_funcs)
{
}
CV_GpuImageProcTest::~CV_GpuImageProcTest() {}
int CV_GpuImageProcTest::test8UC1(const Mat& img)
{
@ -188,352 +183,284 @@ void CV_GpuImageProcTest::run( int )
////////////////////////////////////////////////////////////////////////////////
// threshold
class CV_GpuNppImageThresholdTest : public CV_GpuImageProcTest
struct CV_GpuNppImageThresholdTest : public CV_GpuImageProcTest
{
public:
CV_GpuNppImageThresholdTest();
protected:
virtual int test(const Mat& img);
};
CV_GpuNppImageThresholdTest() : CV_GpuImageProcTest( "GPU-NppImageThreshold", "threshold" ) {}
CV_GpuNppImageThresholdTest::CV_GpuNppImageThresholdTest(): CV_GpuImageProcTest( "GPU-NppImageThreshold", "threshold" )
{
}
int CV_GpuNppImageThresholdTest::test(const Mat& img)
{
if (img.type() != CV_32FC1)
int test(const Mat& img)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
cv::RNG rng(*ts->get_rng());
const double thresh = rng;
if (img.type() != CV_32FC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
cv::Mat cpuRes;
cv::threshold(img, cpuRes, thresh, 0.0, THRESH_TRUNC);
cv::RNG rng(*ts->get_rng());
const double thresh = rng;
GpuMat gpu1(img);
GpuMat gpuRes;
cv::gpu::threshold(gpu1, gpuRes, thresh);
cv::Mat cpuRes;
cv::threshold(img, cpuRes, thresh, 0.0, THRESH_TRUNC);
return CheckNorm(cpuRes, gpuRes);
}
GpuMat gpu1(img);
GpuMat gpuRes;
cv::gpu::threshold(gpu1, gpuRes, thresh);
CV_GpuNppImageThresholdTest CV_GpuNppImageThreshold_test;
return CheckNorm(cpuRes, gpuRes);
}
};
////////////////////////////////////////////////////////////////////////////////
// resize
class CV_GpuNppImageResizeTest : public CV_GpuImageProcTest
struct CV_GpuNppImageResizeTest : public CV_GpuImageProcTest
{
public:
CV_GpuNppImageResizeTest();
protected:
virtual int test(const Mat& img);
};
CV_GpuNppImageResizeTest::CV_GpuNppImageResizeTest(): CV_GpuImageProcTest( "GPU-NppImageResize", "resize" )
{
}
int CV_GpuNppImageResizeTest::test(const Mat& img)
{
if (img.type() != CV_8UC1 && img.type() != CV_8UC4)
CV_GpuNppImageResizeTest() : CV_GpuImageProcTest( "GPU-NppImageResize", "resize" ) {}
int test(const Mat& img)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
if (img.type() != CV_8UC1 && img.type() != CV_8UC4)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
int interpolations[] = {INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, INTER_LANCZOS4};
const char* interpolations_str[] = {"INTER_NEAREST", "INTER_LINEAR", "INTER_CUBIC", "INTER_LANCZOS4"};
int interpolations_num = sizeof(interpolations) / sizeof(int);
int interpolations[] = {INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, INTER_LANCZOS4};
const char* interpolations_str[] = {"INTER_NEAREST", "INTER_LINEAR", "INTER_CUBIC", "INTER_LANCZOS4"};
int interpolations_num = sizeof(interpolations) / sizeof(int);
int test_res = CvTS::OK;
int test_res = CvTS::OK;
for (int i = 0; i < interpolations_num; ++i)
{
ts->printf(CvTS::LOG, "\nInterpolation type: %s\n", interpolations_str[i]);
Mat cpu_res;
cv::resize(img, cpu_res, Size(), 0.5, 0.5, interpolations[i]);
for (int i = 0; i < interpolations_num; ++i)
{
ts->printf(CvTS::LOG, "\nInterpolation type: %s\n", interpolations_str[i]);
GpuMat gpu1(img), gpu_res;
cv::gpu::resize(gpu1, gpu_res, Size(), 0.5, 0.5, interpolations[i]);
Mat cpu_res;
cv::resize(img, cpu_res, Size(), 0.5, 0.5, interpolations[i]);
if (CheckNorm(cpu_res, gpu_res) != CvTS::OK)
test_res = CvTS::FAIL_GENERIC;
}
GpuMat gpu1(img), gpu_res;
cv::gpu::resize(gpu1, gpu_res, Size(), 0.5, 0.5, interpolations[i]);
return test_res;
}
if (CheckNorm(cpu_res, gpu_res) != CvTS::OK)
test_res = CvTS::FAIL_GENERIC;
}
//CV_GpuNppImageResizeTest CV_GpuNppImageResize_test;
return test_res;
}
};
////////////////////////////////////////////////////////////////////////////////
// copyMakeBorder
class CV_GpuNppImageCopyMakeBorderTest : public CV_GpuImageProcTest
struct CV_GpuNppImageCopyMakeBorderTest : public CV_GpuImageProcTest
{
public:
CV_GpuNppImageCopyMakeBorderTest();
protected:
virtual int test(const Mat& img);
};
CV_GpuNppImageCopyMakeBorderTest() : CV_GpuImageProcTest( "GPU-NppImageCopyMakeBorder", "copyMakeBorder" ) {}
CV_GpuNppImageCopyMakeBorderTest::CV_GpuNppImageCopyMakeBorderTest(): CV_GpuImageProcTest( "GPU-NppImageCopyMakeBorder", "copyMakeBorder" )
{
}
int CV_GpuNppImageCopyMakeBorderTest::test(const Mat& img)
{
if (img.type() != CV_8UC1 && img.type() != CV_8UC4 && img.type() != CV_32SC1)
int test(const Mat& img)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
cv::RNG rng(*ts->get_rng());
int top = rng.uniform(1, 10);
int botton = rng.uniform(1, 10);
int left = rng.uniform(1, 10);
int right = rng.uniform(1, 10);
cv::Scalar val(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));
if (img.type() != CV_8UC1 && img.type() != CV_8UC4 && img.type() != CV_32SC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
Mat cpudst;
cv::copyMakeBorder(img, cpudst, top, botton, left, right, BORDER_CONSTANT, val);
cv::RNG rng(*ts->get_rng());
int top = rng.uniform(1, 10);
int botton = rng.uniform(1, 10);
int left = rng.uniform(1, 10);
int right = rng.uniform(1, 10);
cv::Scalar val(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));
GpuMat gpu1(img);
GpuMat gpudst;
cv::gpu::copyMakeBorder(gpu1, gpudst, top, botton, left, right, val);
Mat cpudst;
cv::copyMakeBorder(img, cpudst, top, botton, left, right, BORDER_CONSTANT, val);
return CheckNorm(cpudst, gpudst);
}
GpuMat gpu1(img);
GpuMat gpudst;
cv::gpu::copyMakeBorder(gpu1, gpudst, top, botton, left, right, val);
CV_GpuNppImageCopyMakeBorderTest CV_GpuNppImageCopyMakeBorder_test;
return CheckNorm(cpudst, gpudst);
}
};
////////////////////////////////////////////////////////////////////////////////
// warpAffine
class CV_GpuNppImageWarpAffineTest : public CV_GpuImageProcTest
struct CV_GpuNppImageWarpAffineTest : public CV_GpuImageProcTest
{
public:
CV_GpuNppImageWarpAffineTest();
CV_GpuNppImageWarpAffineTest() : CV_GpuImageProcTest( "GPU-NppImageWarpAffine", "warpAffine" ) {}
protected:
virtual int test(const Mat& img);
};
CV_GpuNppImageWarpAffineTest::CV_GpuNppImageWarpAffineTest(): CV_GpuImageProcTest( "GPU-NppImageWarpAffine", "warpAffine" )
{
}
int CV_GpuNppImageWarpAffineTest::test(const Mat& img)
{
if (img.type() == CV_32SC1)
int test(const Mat& img)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
static const double coeffs[2][3] =
{
{cos(3.14 / 6), -sin(3.14 / 6), 100.0},
{sin(3.14 / 6), cos(3.14 / 6), -100.0}
};
Mat M(2, 3, CV_64F, (void*)coeffs);
int flags[] = {INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, INTER_NEAREST | WARP_INVERSE_MAP, INTER_LINEAR | WARP_INVERSE_MAP, INTER_CUBIC | WARP_INVERSE_MAP};
const char* flags_str[] = {"INTER_NEAREST", "INTER_LINEAR", "INTER_CUBIC", "INTER_NEAREST | WARP_INVERSE_MAP", "INTER_LINEAR | WARP_INVERSE_MAP", "INTER_CUBIC | WARP_INVERSE_MAP"};
int flags_num = sizeof(flags) / sizeof(int);
if (img.type() == CV_32SC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
static const double coeffs[2][3] =
{
{cos(3.14 / 6), -sin(3.14 / 6), 100.0},
{sin(3.14 / 6), cos(3.14 / 6), -100.0}
};
Mat M(2, 3, CV_64F, (void*)coeffs);
int test_res = CvTS::OK;
int flags[] = {INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, INTER_NEAREST | WARP_INVERSE_MAP, INTER_LINEAR | WARP_INVERSE_MAP, INTER_CUBIC | WARP_INVERSE_MAP};
const char* flags_str[] = {"INTER_NEAREST", "INTER_LINEAR", "INTER_CUBIC", "INTER_NEAREST | WARP_INVERSE_MAP", "INTER_LINEAR | WARP_INVERSE_MAP", "INTER_CUBIC | WARP_INVERSE_MAP"};
int flags_num = sizeof(flags) / sizeof(int);
for (int i = 0; i < flags_num; ++i)
{
ts->printf(CvTS::LOG, "\nFlags: %s\n", flags_str[i]);
int test_res = CvTS::OK;
Mat cpudst;
cv::warpAffine(img, cpudst, M, img.size(), flags[i]);
for (int i = 0; i < flags_num; ++i)
{
ts->printf(CvTS::LOG, "\nFlags: %s\n", flags_str[i]);
GpuMat gpu1(img);
GpuMat gpudst;
cv::gpu::warpAffine(gpu1, gpudst, M, gpu1.size(), flags[i]);
if (CheckNorm(cpudst, gpudst) != CvTS::OK)
test_res = CvTS::FAIL_GENERIC;
}
Mat cpudst;
cv::warpAffine(img, cpudst, M, img.size(), flags[i]);
return test_res;
}
GpuMat gpu1(img);
GpuMat gpudst;
cv::gpu::warpAffine(gpu1, gpudst, M, gpu1.size(), flags[i]);
if (CheckNorm(cpudst, gpudst) != CvTS::OK)
test_res = CvTS::FAIL_GENERIC;
}
//CV_GpuNppImageWarpAffineTest CV_GpuNppImageWarpAffine_test;
return test_res;
}
};
////////////////////////////////////////////////////////////////////////////////
// warpPerspective
class CV_GpuNppImageWarpPerspectiveTest : public CV_GpuImageProcTest
struct CV_GpuNppImageWarpPerspectiveTest : public CV_GpuImageProcTest
{
public:
CV_GpuNppImageWarpPerspectiveTest();
CV_GpuNppImageWarpPerspectiveTest() : CV_GpuImageProcTest( "GPU-NppImageWarpPerspective", "warpPerspective" ) {}
protected:
virtual int test(const Mat& img);
};
CV_GpuNppImageWarpPerspectiveTest::CV_GpuNppImageWarpPerspectiveTest(): CV_GpuImageProcTest( "GPU-NppImageWarpPerspective", "warpPerspective" )
{
}
int CV_GpuNppImageWarpPerspectiveTest::test(const Mat& img)
{
if (img.type() == CV_32SC1)
int test(const Mat& img)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
static const double coeffs[3][3] =
{
{cos(3.14 / 6), -sin(3.14 / 6), 100.0},
{sin(3.14 / 6), cos(3.14 / 6), -100.0},
{0.0, 0.0, 1.0}
};
Mat M(3, 3, CV_64F, (void*)coeffs);
int flags[] = {INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, INTER_NEAREST | WARP_INVERSE_MAP, INTER_LINEAR | WARP_INVERSE_MAP, INTER_CUBIC | WARP_INVERSE_MAP};
const char* flags_str[] = {"INTER_NEAREST", "INTER_LINEAR", "INTER_CUBIC", "INTER_NEAREST | WARP_INVERSE_MAP", "INTER_LINEAR | WARP_INVERSE_MAP", "INTER_CUBIC | WARP_INVERSE_MAP"};
int flags_num = sizeof(flags) / sizeof(int);
if (img.type() == CV_32SC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
static const double coeffs[3][3] =
{
{cos(3.14 / 6), -sin(3.14 / 6), 100.0},
{sin(3.14 / 6), cos(3.14 / 6), -100.0},
{0.0, 0.0, 1.0}
};
Mat M(3, 3, CV_64F, (void*)coeffs);
int test_res = CvTS::OK;
int flags[] = {INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, INTER_NEAREST | WARP_INVERSE_MAP, INTER_LINEAR | WARP_INVERSE_MAP, INTER_CUBIC | WARP_INVERSE_MAP};
const char* flags_str[] = {"INTER_NEAREST", "INTER_LINEAR", "INTER_CUBIC", "INTER_NEAREST | WARP_INVERSE_MAP", "INTER_LINEAR | WARP_INVERSE_MAP", "INTER_CUBIC | WARP_INVERSE_MAP"};
int flags_num = sizeof(flags) / sizeof(int);
for (int i = 0; i < flags_num; ++i)
{
ts->printf(CvTS::LOG, "\nFlags: %s\n", flags_str[i]);
int test_res = CvTS::OK;
Mat cpudst;
cv::warpPerspective(img, cpudst, M, img.size(), flags[i]);
for (int i = 0; i < flags_num; ++i)
{
ts->printf(CvTS::LOG, "\nFlags: %s\n", flags_str[i]);
GpuMat gpu1(img);
GpuMat gpudst;
cv::gpu::warpPerspective(gpu1, gpudst, M, gpu1.size(), flags[i]);
Mat cpudst;
cv::warpPerspective(img, cpudst, M, img.size(), flags[i]);
if (CheckNorm(cpudst, gpudst) != CvTS::OK)
test_res = CvTS::FAIL_GENERIC;
}
GpuMat gpu1(img);
GpuMat gpudst;
cv::gpu::warpPerspective(gpu1, gpudst, M, gpu1.size(), flags[i]);
return test_res;
}
if (CheckNorm(cpudst, gpudst) != CvTS::OK)
test_res = CvTS::FAIL_GENERIC;
}
//CV_GpuNppImageWarpPerspectiveTest CV_GpuNppImageWarpPerspective_test;
return test_res;
}
};
////////////////////////////////////////////////////////////////////////////////
// integral
class CV_GpuNppImageIntegralTest : public CV_GpuImageProcTest
{
public:
CV_GpuNppImageIntegralTest();
protected:
virtual int test(const Mat& img);
};
CV_GpuNppImageIntegralTest::CV_GpuNppImageIntegralTest(): CV_GpuImageProcTest( "GPU-NppImageIntegral", "integral" )
struct CV_GpuNppImageIntegralTest : public CV_GpuImageProcTest
{
}
CV_GpuNppImageIntegralTest() : CV_GpuImageProcTest( "GPU-NppImageIntegral", "integral" ) {}
int CV_GpuNppImageIntegralTest::test(const Mat& img)
{
if (img.type() != CV_8UC1)
int CV_GpuNppImageIntegralTest::test(const Mat& img)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
Mat cpusum, cpusqsum;
cv::integral(img, cpusum, cpusqsum, CV_32S);
if (img.type() != CV_8UC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
GpuMat gpu1(img);
GpuMat gpusum, gpusqsum;
cv::gpu::integral(gpu1, gpusum, gpusqsum);
Mat cpusum, cpusqsum;
cv::integral(img, cpusum, cpusqsum, CV_32S);
gpusqsum.convertTo(gpusqsum, CV_64F);
GpuMat gpu1(img);
GpuMat gpusum, gpusqsum;
cv::gpu::integral(gpu1, gpusum, gpusqsum);
int test_res = CvTS::OK;
gpusqsum.convertTo(gpusqsum, CV_64F);
if (CheckNorm(cpusum, gpusum) != CvTS::OK)
{
ts->printf(CvTS::LOG, "\nSum failed\n");
test_res = CvTS::FAIL_GENERIC;
}
if (CheckNorm(cpusqsum, gpusqsum) != CvTS::OK)
{
ts->printf(CvTS::LOG, "\nSquared sum failed\n");
test_res = CvTS::FAIL_GENERIC;
}
int test_res = CvTS::OK;
return test_res;
}
if (CheckNorm(cpusum, gpusum) != CvTS::OK)
{
ts->printf(CvTS::LOG, "\nSum failed\n");
test_res = CvTS::FAIL_GENERIC;
}
if (CheckNorm(cpusqsum, gpusqsum) != CvTS::OK)
{
ts->printf(CvTS::LOG, "\nSquared sum failed\n");
test_res = CvTS::FAIL_GENERIC;
}
CV_GpuNppImageIntegralTest CV_GpuNppImageIntegral_test;
return test_res;
}
};
////////////////////////////////////////////////////////////////////////////////
// blur
class CV_GpuNppImageBlurTest : public CV_GpuImageProcTest
struct CV_GpuNppImageBlurTest : public CV_GpuImageProcTest
{
public:
CV_GpuNppImageBlurTest();
CV_GpuNppImageBlurTest() : CV_GpuImageProcTest( "GPU-NppImageBlur", "blur" ) {}
protected:
virtual int test(const Mat& img);
};
CV_GpuNppImageBlurTest::CV_GpuNppImageBlurTest(): CV_GpuImageProcTest( "GPU-NppImageBlur", "blur" )
{
}
int CV_GpuNppImageBlurTest::test(const Mat& img)
{
if (img.type() != CV_8UC1 && img.type() != CV_8UC4)
int test(const Mat& img)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
if (img.type() != CV_8UC1 && img.type() != CV_8UC4)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
int ksizes[] = {3, 5, 7};
int ksizes_num = sizeof(ksizes) / sizeof(int);
int ksizes[] = {3, 5, 7};
int ksizes_num = sizeof(ksizes) / sizeof(int);
int test_res = CvTS::OK;
int test_res = CvTS::OK;
for (int i = 0; i < ksizes_num; ++i)
{
ts->printf(CvTS::LOG, "\nksize = %d\n", ksizes[i]);
Mat cpudst;
cv::blur(img, cpudst, Size(ksizes[i], ksizes[i]));
for (int i = 0; i < ksizes_num; ++i)
{
ts->printf(CvTS::LOG, "\nksize = %d\n", ksizes[i]);
GpuMat gpu1(img);
GpuMat gpudst;
cv::gpu::blur(gpu1, gpudst, Size(ksizes[i], ksizes[i]));
Mat cpudst;
cv::blur(img, cpudst, Size(ksizes[i], ksizes[i]));
cv::Mat c;
cv::absdiff(cpudst, gpudst, c);
GpuMat gpu1(img);
GpuMat gpudst;
cv::gpu::blur(gpu1, gpudst, Size(ksizes[i], ksizes[i]));
if (CheckNorm(cpudst, gpudst) != CvTS::OK)
test_res = CvTS::FAIL_GENERIC;
}
cv::Mat c;
cv::absdiff(cpudst, gpudst, c);
return test_res;
}
if (CheckNorm(cpudst, gpudst) != CvTS::OK)
test_res = CvTS::FAIL_GENERIC;
}
//CV_GpuNppImageBlurTest CV_GpuNppImageBlur_test;
return test_res;
}
};
////////////////////////////////////////////////////////////////////////////////
// cvtColor
class CV_GpuCvtColorTest : public CvTest
{
public:
CV_GpuCvtColorTest();
CV_GpuCvtColorTest() : CvTest("GPU-NppCvtColor", "cvtColor") {}
~CV_GpuCvtColorTest() {};
protected:
void run(int);
@ -541,9 +468,6 @@ protected:
int CheckNorm(const Mat& m1, const Mat& m2);
};
CV_GpuCvtColorTest::CV_GpuCvtColorTest(): CvTest("GPU-NppCvtColor", "cvtColor")
{
}
int CV_GpuCvtColorTest::CheckNorm(const Mat& m1, const Mat& m2)
{
@ -610,4 +534,19 @@ void CV_GpuCvtColorTest::run( int )
ts->set_failed_test_info(testResult);
}
CV_GpuCvtColorTest CV_GpuCvtColor_test;
/////////////////////////////////////////////////////////////////////////////
/////////////////// tests registration /////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////
// 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_GpuNppImageThresholdTest CV_GpuNppImageThreshold_test;
CV_GpuNppImageResizeTest CV_GpuNppImageResize_test;
CV_GpuNppImageCopyMakeBorderTest CV_GpuNppImageCopyMakeBorder_test;
CV_GpuNppImageWarpAffineTest CV_GpuNppImageWarpAffine_test;
CV_GpuNppImageWarpPerspectiveTest CV_GpuNppImageWarpPerspective_test;
CV_GpuNppImageIntegralTest CV_GpuNppImageIntegral_test;
CV_GpuNppImageBlurTest CV_GpuNppImageBlur_test;
CV_GpuCvtColorTest CV_GpuCvtColor_test;

105
tests/gpu/src/meanshift.cpp
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@ -47,80 +47,79 @@
#include <string>
class CV_GpuMeanShiftTest : public CvTest
struct CV_GpuMeanShiftTest : public CvTest
{
public:
CV_GpuMeanShiftTest();
CV_GpuMeanShiftTest(): CvTest( "GPU-MeanShift", "MeanShift" ){}
protected:
void run(int);
};
CV_GpuMeanShiftTest::CV_GpuMeanShiftTest(): CvTest( "GPU-MeanShift", "MeanShift" ){}
void CV_GpuMeanShiftTest::run(int)
{
int spatialRad = 30;
int colorRad = 30;
cv::Mat img = cv::imread(std::string(ts->get_data_path()) + "meanshift/cones.png");
cv::Mat img_template = cv::imread(std::string(ts->get_data_path()) + "meanshift/con_result.png");
if (img.empty() || img_template.empty())
void run(int)
{
ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
return;
}
int spatialRad = 30;
int colorRad = 30;
cv::Mat rgba;
cvtColor(img, rgba, CV_BGR2BGRA);
cv::Mat img = cv::imread(std::string(ts->get_data_path()) + "meanshift/cones.png");
cv::Mat img_template = cv::imread(std::string(ts->get_data_path()) + "meanshift/con_result.png");
try
{
cv::gpu::GpuMat res;
cv::gpu::meanShiftFiltering( cv::gpu::GpuMat(rgba), res, spatialRad, colorRad );
if (res.type() != CV_8UC4)
if (img.empty() || img_template.empty())
{
ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
return;
}
cv::Mat result;
res.download(result);
cv::Mat rgba;
cvtColor(img, rgba, CV_BGR2BGRA);
uchar maxDiff = 0;
for (int j = 0; j < result.rows; ++j)
try
{
const uchar* res_line = result.ptr<uchar>(j);
const uchar* ref_line = img_template.ptr<uchar>(j);
cv::gpu::GpuMat res;
cv::gpu::meanShiftFiltering( cv::gpu::GpuMat(rgba), res, spatialRad, colorRad );
if (res.type() != CV_8UC4)
{
ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
return;
}
for (int i = 0; i < result.cols; ++i)
cv::Mat result;
res.download(result);
uchar maxDiff = 0;
for (int j = 0; j < result.rows; ++j)
{
for (int k = 0; k < 3; ++k)
const uchar* res_line = result.ptr<uchar>(j);
const uchar* ref_line = img_template.ptr<uchar>(j);
for (int i = 0; i < result.cols; ++i)
{
const uchar& ch1 = res_line[result.channels()*i + k];
const uchar& ch2 = ref_line[img_template.channels()*i + k];
uchar diff = static_cast<uchar>(abs(ch1 - ch2));
if (maxDiff < diff)
maxDiff = diff;
for (int k = 0; k < 3; ++k)
{
const uchar& ch1 = res_line[result.channels()*i + k];
const uchar& ch2 = ref_line[img_template.channels()*i + k];
uchar diff = static_cast<uchar>(abs(ch1 - ch2));
if (maxDiff < diff)
maxDiff = diff;
}
}
}
if (maxDiff > 0)
{
ts->printf(CvTS::LOG, "\nMeanShift maxDiff = %d\n", maxDiff);
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
return;
}
}
if (maxDiff > 0)
catch(const cv::Exception& e)
{
ts->printf(CvTS::LOG, "\nMeanShift maxDiff = %d\n", maxDiff);
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
ts->set_failed_test_info(CvTS::OK);
}
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
ts->set_failed_test_info(CvTS::OK);
}
};
/////////////////////////////////////////////////////////////////////////////
/////////////////// tests registration /////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////
CV_GpuMeanShiftTest CV_GpuMeanShift_test;

15
tests/gpu/src/morf_filters.cpp
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@ -147,8 +147,6 @@ protected:
}
};
CV_GpuErodeTest CV_GpuErode_test;
////////////////////////////////////////////////////////////////////////////////
// Dilate
class CV_GpuDilateTest : public CV_GpuNppMorphogyTest
@ -173,8 +171,6 @@ protected:
}
};
CV_GpuDilateTest CV_GpuDilate_test;
////////////////////////////////////////////////////////////////////////////////
// Dilate
class CV_GpuMorphExTest : public CV_GpuNppMorphogyTest
@ -211,4 +207,13 @@ protected:
}
};
CV_GpuMorphExTest CV_GpuMorphEx_test;
/////////////////////////////////////////////////////////////////////////////
/////////////////// tests registration /////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////
CV_GpuErodeTest CV_GpuErode_test;
CV_GpuDilateTest CV_GpuDilate_test;
CV_GpuMorphExTest CV_GpuMorphEx_test;

32
tests/gpu/src/operator_async_call.cpp
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@ -58,8 +58,13 @@ using namespace gpu;
class CV_GpuMatAsyncCallTest : public CvTest
{
public:
CV_GpuMatAsyncCallTest();
~CV_GpuMatAsyncCallTest();
CV_GpuMatAsyncCallTest() : CvTest( "GPU-MatOperatorAsyncCall", "async" )
{
rows = 234;
cols = 123;
}
~CV_GpuMatAsyncCallTest() {}
protected:
void run(int);
@ -72,21 +77,8 @@ class CV_GpuMatAsyncCallTest : public CvTest
int cols;
};
CV_GpuMatAsyncCallTest::CV_GpuMatAsyncCallTest(): CvTest( "GPU-MatOperatorAsyncCall", "async" )
{
rows = 234;
cols = 123;
//#define PRINT_MATRIX
}
CV_GpuMatAsyncCallTest::~CV_GpuMatAsyncCallTest() {}
template<typename T>
void CV_GpuMatAsyncCallTest::print_mat(const T & mat, const std::string & name) const
{
cv::imshow(name, mat);
}
void CV_GpuMatAsyncCallTest::print_mat(const T & mat, const std::string & name) const { cv::imshow(name, mat); }
bool CV_GpuMatAsyncCallTest::compare_matrix(cv::Mat & cpumat)
{
@ -160,4 +152,10 @@ void CV_GpuMatAsyncCallTest::run( int /* start_from */)
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
}
//CV_GpuMatAsyncCallTest CV_GpuMatAsyncCall_test;
/////////////////////////////////////////////////////////////////////////////
/////////////////// tests registration /////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////
CV_GpuMatAsyncCallTest CV_GpuMatAsyncCall_test;

11
tests/gpu/src/operator_convert_to.cpp
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@ -55,16 +55,13 @@ using namespace gpu;
class CV_GpuMatOpConvertToTest : public CvTest
{
public:
CV_GpuMatOpConvertToTest();
~CV_GpuMatOpConvertToTest();
CV_GpuMatOpConvertToTest() : CvTest( "GPU-MatOperatorConvertTo", "convertTo" ) {}
~CV_GpuMatOpConvertToTest() {}
protected:
void run(int);
};
CV_GpuMatOpConvertToTest::CV_GpuMatOpConvertToTest(): CvTest( "GPU-MatOperatorConvertTo", "convertTo" ) {}
CV_GpuMatOpConvertToTest::~CV_GpuMatOpConvertToTest() {}
void CV_GpuMatOpConvertToTest::run(int /* start_from */)
{
const Size img_size(67, 35);
@ -123,4 +120,8 @@ void CV_GpuMatOpConvertToTest::run(int /* start_from */)
ts->set_failed_test_info(passed ? CvTS::OK : CvTS::FAIL_GENERIC);
}
/////////////////////////////////////////////////////////////////////////////
/////////////////// tests registration /////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////
CV_GpuMatOpConvertToTest CV_GpuMatOpConvertToTest_test;

28
tests/gpu/src/operator_copy_to.cpp
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@ -58,8 +58,12 @@ using namespace gpu;
class CV_GpuMatOpCopyToTest : public CvTest
{
public:
CV_GpuMatOpCopyToTest();
~CV_GpuMatOpCopyToTest();
CV_GpuMatOpCopyToTest() : CvTest( "GPU-MatOperatorCopyTo", "copyTo" )
{
rows = 234;
cols = 123;
}
~CV_GpuMatOpCopyToTest() {}
protected:
void run(int);
@ -72,21 +76,8 @@ class CV_GpuMatOpCopyToTest : public CvTest
int cols;
};
CV_GpuMatOpCopyToTest::CV_GpuMatOpCopyToTest(): CvTest( "GPU-MatOperatorCopyTo", "copyTo" )
{
rows = 234;
cols = 123;
//#define PRINT_MATRIX
}
CV_GpuMatOpCopyToTest::~CV_GpuMatOpCopyToTest() {}
template<typename T>
void CV_GpuMatOpCopyToTest::print_mat(const T & mat, const std::string & name) const
{
cv::imshow(name, mat);
}
void CV_GpuMatOpCopyToTest::print_mat(const T & mat, const std::string & name) const { cv::imshow(name, mat); }
bool CV_GpuMatOpCopyToTest::compare_matrix(cv::Mat & cpumat, gpu::GpuMat & gpumat)
{
@ -161,4 +152,9 @@ void CV_GpuMatOpCopyToTest::run( int /* start_from */)
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
}
/////////////////////////////////////////////////////////////////////////////
/////////////////// tests registration /////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////
CV_GpuMatOpCopyToTest CV_GpuMatOpCopyTo_test;

8
tests/gpu/src/operator_set_to.cpp
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@ -58,7 +58,7 @@ class CV_GpuMatOpSetToTest : public CvTest
{
public:
CV_GpuMatOpSetToTest();
~CV_GpuMatOpSetToTest();
~CV_GpuMatOpSetToTest() {}
protected:
void run(int);
@ -85,7 +85,6 @@ CV_GpuMatOpSetToTest::CV_GpuMatOpSetToTest(): CvTest( "GPU-MatOperatorSetTo", "s
//#define PRINT_MATRIX
}
CV_GpuMatOpSetToTest::~CV_GpuMatOpSetToTest() {}
void CV_GpuMatOpSetToTest::print_mat(cv::Mat & mat, std::string name )
{
@ -154,4 +153,9 @@ void CV_GpuMatOpSetToTest::run( int /* start_from */)
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
}
/////////////////////////////////////////////////////////////////////////////
/////////////////// tests registration /////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////
CV_GpuMatOpSetToTest CV_GpuMatOpSetTo_test;

167
tests/gpu/src/split_merge.cpp
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@ -9,13 +9,16 @@
using namespace std;
using namespace cv;
////////////////////////////////////////////////////////////////////////////////
// Merge
struct CV_MergeTest : public CvTest
{
CV_MergeTest() : CvTest("GPU-Merge", "merge") {}
void can_merge(size_t rows, size_t cols);
void can_merge_submatrixes(size_t rows, size_t cols);
void run(int);
} merge_test;
};
void CV_MergeTest::can_merge(size_t rows, size_t cols)
@ -40,17 +43,17 @@ void CV_MergeTest::can_merge(size_t rows, size_t cols)
Mat host_dst = dev_dst;
double err = norm(dst, host_dst, NORM_INF);
if (err > 1e-3)
{
//ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", err);
//ts->printf(CvTS::CONSOLE, "Depth: %d\n", depth);
//ts->printf(CvTS::CONSOLE, "Rows: %d\n", rows);
//ts->printf(CvTS::CONSOLE, "Cols: %d\n", cols);
//ts->printf(CvTS::CONSOLE, "NumChannels: %d\n", num_channels);
ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
return;
double err = norm(dst, host_dst, NORM_INF);
if (err > 1e-3)
{
//ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", err);
//ts->printf(CvTS::CONSOLE, "Depth: %d\n", depth);
//ts->printf(CvTS::CONSOLE, "Rows: %d\n", rows);
//ts->printf(CvTS::CONSOLE, "Cols: %d\n", cols);
//ts->printf(CvTS::CONSOLE, "NumChannels: %d\n", num_channels);
ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
return;
}
}
}
@ -81,22 +84,21 @@ void CV_MergeTest::can_merge_submatrixes(size_t rows, size_t cols)
Mat host_dst = dev_dst;
double err = norm(dst, host_dst, NORM_INF);
if (err > 1e-3)
{
//ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", err);
//ts->printf(CvTS::CONSOLE, "Depth: %d\n", depth);
//ts->printf(CvTS::CONSOLE, "Rows: %d\n", rows);
//ts->printf(CvTS::CONSOLE, "Cols: %d\n", cols);
//ts->printf(CvTS::CONSOLE, "NumChannels: %d\n", num_channels);
ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
return;
double err = norm(dst, host_dst, NORM_INF);
if (err > 1e-3)
{
//ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", err);
//ts->printf(CvTS::CONSOLE, "Depth: %d\n", depth);
//ts->printf(CvTS::CONSOLE, "Rows: %d\n", rows);
//ts->printf(CvTS::CONSOLE, "Cols: %d\n", cols);
//ts->printf(CvTS::CONSOLE, "NumChannels: %d\n", num_channels);
ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
return;
}
}
}
void CV_MergeTest::run(int)
{
try
@ -108,22 +110,24 @@ void CV_MergeTest::run(int)
can_merge_submatrixes(1, 7);
can_merge_submatrixes(53, 7);
}
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
}
}
////////////////////////////////////////////////////////////////////////////////
// Split
struct CV_SplitTest : public CvTest
{
CV_SplitTest() : CvTest("GPU-Split", "split") {}
void can_split(size_t rows, size_t cols);
void can_split_submatrix(size_t rows, size_t cols);
void run(int);
} split_test;
};
void CV_SplitTest::can_split(size_t rows, size_t cols)
{
@ -147,24 +151,22 @@ void CV_SplitTest::can_split(size_t rows, size_t cols)
for (size_t i = 0; i < num_channels; ++i)
{
Mat host_dst = dev_dst[i];
double err = norm(dst[i], host_dst, NORM_INF);
if (err > 1e-3)
{
//ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", err);
//ts->printf(CvTS::CONSOLE, "Depth: %d\n", depth);
//ts->printf(CvTS::CONSOLE, "Rows: %d\n", rows);
//ts->printf(CvTS::CONSOLE, "Cols: %d\n", cols);
//ts->printf(CvTS::CONSOLE, "NumChannels: %d\n", num_channels);
ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
return;
double err = norm(dst[i], host_dst, NORM_INF);
if (err > 1e-3)
{
//ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", err);
//ts->printf(CvTS::CONSOLE, "Depth: %d\n", depth);
//ts->printf(CvTS::CONSOLE, "Rows: %d\n", rows);
//ts->printf(CvTS::CONSOLE, "Cols: %d\n", cols);
//ts->printf(CvTS::CONSOLE, "NumChannels: %d\n", num_channels);
ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
return;
}
}
}
}
void CV_SplitTest::can_split_submatrix(size_t rows, size_t cols)
{
for (size_t num_channels = 1; num_channels <= 4; ++num_channels)
@ -188,23 +190,22 @@ void CV_SplitTest::can_split_submatrix(size_t rows, size_t cols)
for (size_t i = 0; i < num_channels; ++i)
{
Mat host_dst = dev_dst[i];
double err = norm(dst[i], host_dst, NORM_INF);
if (err > 1e-3)
{
//ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", err);
//ts->printf(CvTS::CONSOLE, "Depth: %d\n", depth);
//ts->printf(CvTS::CONSOLE, "Rows: %d\n", rows);
//ts->printf(CvTS::CONSOLE, "Cols: %d\n", cols);
//ts->printf(CvTS::CONSOLE, "NumChannels: %d\n", num_channels);
ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
return;
double err = norm(dst[i], host_dst, NORM_INF);
if (err > 1e-3)
{
//ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", err);
//ts->printf(CvTS::CONSOLE, "Depth: %d\n", depth);
//ts->printf(CvTS::CONSOLE, "Rows: %d\n", rows);
//ts->printf(CvTS::CONSOLE, "Cols: %d\n", cols);
//ts->printf(CvTS::CONSOLE, "NumChannels: %d\n", num_channels);
ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
return;
}
}
}
}
void CV_SplitTest::run(int)
{
try
@ -216,21 +217,23 @@ void CV_SplitTest::run(int)
can_split_submatrix(1, 7);
can_split_submatrix(7, 53);
}
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
}
}
////////////////////////////////////////////////////////////////////////////////
// Split and merge
struct CV_SplitMergeTest : public CvTest
{
CV_SplitMergeTest() : CvTest("GPU-SplitMerge", "split merge") {}
void can_split_merge(size_t rows, size_t cols);
void run(int);
} split_merge_test;
};
void CV_SplitMergeTest::can_split_merge(size_t rows, size_t cols) {
for (size_t num_channels = 1; num_channels <= 4; ++num_channels)
@ -244,16 +247,16 @@ void CV_SplitMergeTest::can_split_merge(size_t rows, size_t cols) {
gpu::GpuMat dev_final(rows, cols, CV_MAKETYPE(depth, num_channels));
cv::gpu::merge(dev_vec, dev_final);
double err = cv::norm((Mat)dev_orig, (Mat)dev_final, NORM_INF);
if (err > 1e-3)
{
//ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", err);
//ts->printf(CvTS::CONSOLE, "Depth: %d\n", depth);
//ts->printf(CvTS::CONSOLE, "Rows: %d\n", rows);
//ts->printf(CvTS::CONSOLE, "Cols: %d\n", cols);
//ts->printf(CvTS::CONSOLE, "NumChannels: %d\n", num_channels);
ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
return;
double err = cv::norm((Mat)dev_orig, (Mat)dev_final, NORM_INF);
if (err > 1e-3)
{
//ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", err);
//ts->printf(CvTS::CONSOLE, "Depth: %d\n", depth);
//ts->printf(CvTS::CONSOLE, "Rows: %d\n", rows);
//ts->printf(CvTS::CONSOLE, "Cols: %d\n", cols);
//ts->printf(CvTS::CONSOLE, "NumChannels: %d\n", num_channels);
ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
return;
}
}
}
@ -267,9 +270,23 @@ void CV_SplitMergeTest::run(int)
can_split_merge(1, 7);
can_split_merge(7, 53);
}
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
}
}
/////////////////////////////////////////////////////////////////////////////
/////////////////// tests registration /////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////
// 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_SplitTest split_test;
CV_MergeTest merge_test;
CV_SplitMergeTest split_merge_test;

73
tests/gpu/src/stereo_bm.cpp
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@ -47,53 +47,52 @@
#include <string>
class CV_GpuStereoBMTest : public CvTest
struct CV_GpuStereoBMTest : public CvTest
{
public:
CV_GpuStereoBMTest();
CV_GpuStereoBMTest() : CvTest( "GPU-StereoBM", "StereoBM" ){}
~CV_GpuStereoBMTest() {}
protected:
void run(int);
};
CV_GpuStereoBMTest::CV_GpuStereoBMTest(): CvTest( "GPU-StereoBM", "StereoBM" ){}
void CV_GpuStereoBMTest::run(int )
{
cv::Mat img_l = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-L.png", 0);
cv::Mat img_r = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-R.png", 0);
cv::Mat img_reference = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-disp.png", 0);
if (img_l.empty() || img_r.empty() || img_reference.empty())
void run(int )
{
ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
return;
}
cv::Mat img_l = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-L.png", 0);
cv::Mat img_r = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-R.png", 0);
cv::Mat img_reference = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-disp.png", 0);
try
{
cv::gpu::GpuMat disp;
cv::gpu::StereoBM_GPU bm(0, 128, 19);
bm(cv::gpu::GpuMat(img_l), cv::gpu::GpuMat(img_r), disp);
if (img_l.empty() || img_r.empty() || img_reference.empty())
{
ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
return;
}
try
{
cv::gpu::GpuMat disp;
cv::gpu::StereoBM_GPU bm(0, 128, 19);
bm(cv::gpu::GpuMat(img_l), cv::gpu::GpuMat(img_r), disp);
disp.convertTo(disp, img_reference.type());
double norm = cv::norm(disp, img_reference, cv::NORM_INF);
disp.convertTo(disp, img_reference.type());
double norm = cv::norm(disp, img_reference, cv::NORM_INF);
if (norm >= 100)
if (norm >= 100)
{
ts->printf(CvTS::LOG, "\nStereoBM norm = %f\n", norm);
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
return;
}
}
catch(const cv::Exception& e)
{
ts->printf(CvTS::LOG, "\nStereoBM norm = %f\n", norm);
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
ts->set_failed_test_info(CvTS::OK);
}
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
};
ts->set_failed_test_info(CvTS::OK);
}
/////////////////////////////////////////////////////////////////////////////
/////////////////// tests registration /////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////
CV_GpuStereoBMTest CV_GpuStereoBM_test;

92
tests/gpu/src/stereo_bm_async.cpp
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@ -47,64 +47,60 @@
using namespace cv;
using namespace std;
class CV_GpuMatAsyncCallStereoBMTest : public CvTest
struct CV_GpuMatAsyncCallStereoBMTest : public CvTest
{
public:
CV_GpuMatAsyncCallStereoBMTest();
~CV_GpuMatAsyncCallStereoBMTest();
CV_GpuMatAsyncCallStereoBMTest() : CvTest( "GPU-MatAsyncCallStereoBM", "asyncStereoBM" ) {}
~CV_GpuMatAsyncCallStereoBMTest() {}
protected:
void run(int);
};
CV_GpuMatAsyncCallStereoBMTest::CV_GpuMatAsyncCallStereoBMTest(): CvTest( "GPU-MatAsyncCallStereoBM", "asyncStereoBM" )
{}
CV_GpuMatAsyncCallStereoBMTest::~CV_GpuMatAsyncCallStereoBMTest() {}
void CV_GpuMatAsyncCallStereoBMTest::run( int /* start_from */)
{
cv::Mat img_l = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-L.png", 0);
cv::Mat img_r = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-R.png", 0);
cv::Mat img_reference = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-disp.png", 0);
if (img_l.empty() || img_r.empty() || img_reference.empty())
void run( int /* start_from */)
{
ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
return;
}
try
{
cv::gpu::GpuMat disp;
cv::gpu::StereoBM_GPU bm(0, 128, 19);
cv::gpu::Stream stream;
cv::Mat img_l = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-L.png", 0);
cv::Mat img_r = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-R.png", 0);
cv::Mat img_reference = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-disp.png", 0);
for (size_t i = 0; i < 50; i++)
{
bm(cv::gpu::GpuMat(img_l), cv::gpu::GpuMat(img_r), disp, stream);
}
stream.waitForCompletion();
disp.convertTo(disp, img_reference.type());
double norm = cv::norm(disp, img_reference, cv::NORM_INF);
if (img_l.empty() || img_r.empty() || img_reference.empty())
{
ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
return;
}
if (norm >= 100)
try
{
cv::gpu::GpuMat disp;
cv::gpu::StereoBM_GPU bm(0, 128, 19);
cv::gpu::Stream stream;
for (size_t i = 0; i < 50; i++)
{
bm(cv::gpu::GpuMat(img_l), cv::gpu::GpuMat(img_r), disp, stream);
}
stream.waitForCompletion();
disp.convertTo(disp, img_reference.type());
double norm = cv::norm(disp, img_reference, cv::NORM_INF);
if (norm >= 100)
{
ts->printf(CvTS::LOG, "\nStereoBM norm = %f\n", norm);
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
return;
}
}
catch(const cv::Exception& e)
{
ts->printf(CvTS::LOG, "\nStereoBM norm = %f\n", norm);
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
ts->set_failed_test_info(CvTS::OK);
}
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
};
ts->set_failed_test_info(CvTS::OK);
}
/////////////////////////////////////////////////////////////////////////////
/////////////////// tests registration /////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////
CV_GpuMatAsyncCallStereoBMTest CV_GpuMatAsyncCallStereoBMTest_test;

76
tests/gpu/src/stereo_bp.cpp
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@ -47,55 +47,55 @@
#include <string>
class CV_GpuStereoBPTest : public CvTest
struct CV_GpuStereoBPTest : public CvTest
{
public:
CV_GpuStereoBPTest();
protected:
void run(int);
};
CV_GpuStereoBPTest::CV_GpuStereoBPTest(): CvTest( "GPU-StereoBP", "StereoBP" ){}
void CV_GpuStereoBPTest::run(int )
{
cv::Mat img_l = cv::imread(std::string(ts->get_data_path()) + "stereobp/aloe-L.png");
cv::Mat img_r = cv::imread(std::string(ts->get_data_path()) + "stereobp/aloe-R.png");
cv::Mat img_template = cv::imread(std::string(ts->get_data_path()) + "stereobp/aloe-disp.png", 0);
if (img_l.empty() || img_r.empty() || img_template.empty())
CV_GpuStereoBPTest() : CvTest( "GPU-StereoBP", "StereoBP" ){}
~CV_GpuStereoBPTest() {}
void run(int )
{
ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
return;
}
cv::Mat img_l = cv::imread(std::string(ts->get_data_path()) + "stereobp/aloe-L.png");
cv::Mat img_r = cv::imread(std::string(ts->get_data_path()) + "stereobp/aloe-R.png");
cv::Mat img_template = cv::imread(std::string(ts->get_data_path()) + "stereobp/aloe-disp.png", 0);
try
{
cv::gpu::GpuMat disp;
cv::gpu::StereoBeliefPropagation bpm(64, 8, 2, 25, 0.1f, 15, 1, CV_16S);
if (img_l.empty() || img_r.empty() || img_template.empty())
{
ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
return;
}
try
{
cv::gpu::GpuMat disp;
cv::gpu::StereoBeliefPropagation bpm(64, 8, 2, 25, 0.1f, 15, 1, CV_16S);
bpm(cv::gpu::GpuMat(img_l), cv::gpu::GpuMat(img_r), disp);
bpm(cv::gpu::GpuMat(img_l), cv::gpu::GpuMat(img_r), disp);
//cv::imwrite(std::string(ts->get_data_path()) + "stereobp/aloe-disp.png", disp);
//cv::imwrite(std::string(ts->get_data_path()) + "stereobp/aloe-disp.png", disp);
disp.convertTo(disp, img_template.type());
disp.convertTo(disp, img_template.type());
double norm = cv::norm(disp, img_template, cv::NORM_INF);
if (norm >= 0.5)
double norm = cv::norm(disp, img_template, cv::NORM_INF);
if (norm >= 0.5)
{
ts->printf(CvTS::LOG, "\nStereoBP norm = %f\n", norm);
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
return;
}
}
catch(const cv::Exception& e)
{
ts->printf(CvTS::LOG, "\nStereoBP norm = %f\n", norm);
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
ts->set_failed_test_info(CvTS::OK);
}
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
};
ts->set_failed_test_info(CvTS::OK);
}
/////////////////////////////////////////////////////////////////////////////
/////////////////// tests registration /////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////
CV_GpuStereoBPTest CV_GpuStereoBP_test;

75
tests/gpu/src/stereo_csbp.cpp
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@ -46,56 +46,55 @@
#include <iostream>
#include <string>
class CV_GpuStereoCSBPTest : public CvTest
{
public:
CV_GpuStereoCSBPTest();
protected:
void run(int);
};
CV_GpuStereoCSBPTest::CV_GpuStereoCSBPTest(): CvTest( "GPU-StereoCSBP", "ConstantSpaceStereoBP" ){}
void CV_GpuStereoCSBPTest::run(int )
struct CV_GpuStereoCSBPTest : public CvTest
{
cv::Mat img_l = cv::imread(std::string(ts->get_data_path()) + "csstereobp/aloe-L.png");
cv::Mat img_r = cv::imread(std::string(ts->get_data_path()) + "csstereobp/aloe-R.png");
cv::Mat img_template = cv::imread(std::string(ts->get_data_path()) + "csstereobp/aloe-disp.png", 0);
CV_GpuStereoCSBPTest() : CvTest( "GPU-StereoCSBP", "ConstantSpaceStereoBP" ){}
~CV_GpuStereoCSBPTest() {}
if (img_l.empty() || img_r.empty() || img_template.empty())
void run(int )
{
ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
return;
}
cv::Mat img_l = cv::imread(std::string(ts->get_data_path()) + "csstereobp/aloe-L.png");
cv::Mat img_r = cv::imread(std::string(ts->get_data_path()) + "csstereobp/aloe-R.png");
cv::Mat img_template = cv::imread(std::string(ts->get_data_path()) + "csstereobp/aloe-disp.png", 0);
try
{
cv::gpu::GpuMat disp;
cv::gpu::StereoConstantSpaceBP bpm(128, 16, 4, 4);
if (img_l.empty() || img_r.empty() || img_template.empty())
{
ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
return;
}
try
{
cv::gpu::GpuMat disp;
cv::gpu::StereoConstantSpaceBP bpm(128, 16, 4, 4);
bpm(cv::gpu::GpuMat(img_l), cv::gpu::GpuMat(img_r), disp);
bpm(cv::gpu::GpuMat(img_l), cv::gpu::GpuMat(img_r), disp);
//cv::imwrite(std::string(ts->get_data_path()) + "csstereobp/aloe-disp.png", disp);
//cv::imwrite(std::string(ts->get_data_path()) + "csstereobp/aloe-disp.png", disp);
disp.convertTo(disp, img_template.type());
disp.convertTo(disp, img_template.type());
double norm = cv::norm(disp, img_template, cv::NORM_INF);
if (norm >= 0.5)
double norm = cv::norm(disp, img_template, cv::NORM_INF);
if (norm >= 0.5)
{
ts->printf(CvTS::LOG, "\nConstantSpaceStereoBP norm = %f\n", norm);
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
return;
}
}
catch(const cv::Exception& e)
{
ts->printf(CvTS::LOG, "\nConstantSpaceStereoBP norm = %f\n", norm);
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
ts->set_failed_test_info(CvTS::OK);
}
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
};
ts->set_failed_test_info(CvTS::OK);
}
/////////////////////////////////////////////////////////////////////////////
/////////////////// tests registration /////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////
CV_GpuStereoCSBPTest CV_GpuCSStereoBP_test;

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