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/*
******************************************************
* Copyright (c) 2017, ArrayFire
* All rights reserved.
*
* This file is distributed under 3-clause BSD license.
* The complete license agreement can be obtained at:
* http://arrayfire.com/licenses/BSD-3-Clause
*******************************************************
*/
#
include
<
arrayfire.h
>
#
include
<
gtest/gtest.h
>
#
include
<
testHelpers.hpp
>
#
include
<
af/data.h
>
#
include
<
af/dim4.hpp
>
#
include
<
af/traits.hpp
>
#
include
<
string
>
#
include
<
vector
>
using
af::array;
using
af::exception;
using
af::fluxFunction;
using
af::max;
using
af::min;
using
af::randu;
using
std::abs;
using
std::string;
using
std::vector;
template
<
typename
T>
class
AnisotropicDiffusion
: public ::testing::Test {};
typedef
::testing::Types<
float
,
double
,
int
, uint, schar, uchar,
short
, ushort>
TestTypes;
TYPED_TEST_SUITE
(AnisotropicDiffusion, TestTypes);
template
<
typename
T>
array
normalize
(
const
array &p_in) {
T mx = max<T>(p_in);
T mn = min<T>(p_in);
return
(p_in - mn) / (mx - mn);
}
template
<
typename
T,
bool
isColor>
void
imageTest
(string pTestFile,
const
float
dt,
const
float
K,
const
uint iters, fluxFunction fluxKind,
bool
isCurvatureDiffusion =
false
) {
typedef
typename
cond_type<is_same_type<T,
double
>::value,
double
,
float
>::type
OutType;
SUPPORTED_TYPE_CHECK
(T);
IMAGEIO_ENABLED_CHECK
();
using
af::dim4;
vector<dim4> inDims;
vector<string> inFiles;
vector<
dim_t
> outSizes;
vector<string> outFiles;
readImageTests
(pTestFile, inDims, inFiles, outSizes, outFiles);
size_t
testCount = inDims.
size
();
for
(
size_t
testId =
0
; testId < testCount; ++testId) {
if
(isCurvatureDiffusion) {
inFiles[testId].
insert
(
0
,
string
(
TEST_DIR
"
/curvature_diffusion/
"
));
outFiles[testId].
insert
(
0
,
string
(
TEST_DIR
"
/curvature_diffusion/
"
));
}
else
{
inFiles[testId].
insert
(
0
,
string
(
TEST_DIR
"
/gradient_diffusion/
"
));
outFiles[testId].
insert
(
0
,
string
(
TEST_DIR
"
/gradient_diffusion/
"
));
}
af_array _inArray =
0
;
af_array inArray =
0
;
af_array _outArray =
0
;
af_array cstArray =
0
;
af_array minArray =
0
;
af_array numArray =
0
;
af_array denArray =
0
;
af_array divArray =
0
;
af_array outArray =
0
;
af_array goldArray =
0
;
af_array _goldArray =
0
;
dim_t
nElems =
0
;
ASSERT_SUCCESS
(
af_load_image
(&_inArray, inFiles[testId].
c_str
(), isColor));
ASSERT_SUCCESS
(conv_image<T>(&inArray, _inArray));
ASSERT_SUCCESS
(
af_load_image
(&_goldArray, outFiles[testId].
c_str
(), isColor));
//
af_load_image always returns float array, so convert to output type
ASSERT_SUCCESS
(conv_image<OutType>(&goldArray, _goldArray));
ASSERT_SUCCESS
(
af_get_elements
(&nElems, goldArray));
if
(isCurvatureDiffusion) {
ASSERT_SUCCESS
(
af_anisotropic_diffusion
(&_outArray, inArray, dt, K,
iters, fluxKind,
AF_DIFFUSION_MCDE
));
}
else
{
ASSERT_SUCCESS
(
af_anisotropic_diffusion
(&_outArray, inArray, dt, K,
iters, fluxKind,
AF_DIFFUSION_GRAD
));
}
double
maxima, minima, imag;
ASSERT_SUCCESS
(
af_min_all
(&minima, &imag, _outArray));
ASSERT_SUCCESS
(
af_max_all
(&maxima, &imag, _outArray));
unsigned
ndims;
dim_t
dims[
4
];
ASSERT_SUCCESS
(
af_get_numdims
(&ndims, _outArray));
ASSERT_SUCCESS
(
af_get_dims
(dims, dims +
1
, dims +
2
, dims +
3
, _outArray));
af_dtype otype = (af_dtype)af::dtype_traits<OutType>::af_type;
ASSERT_SUCCESS
(
af_constant
(&cstArray,
255.0
, ndims, dims, otype));
ASSERT_SUCCESS
(
af_constant
(&denArray, (maxima - minima), ndims, dims, otype));
ASSERT_SUCCESS
(
af_constant
(&minArray, minima, ndims, dims, otype));
ASSERT_SUCCESS
(
af_sub
(&numArray, _outArray, minArray,
false
));
ASSERT_SUCCESS
(
af_div
(&divArray, numArray, denArray,
false
));
ASSERT_SUCCESS
(
af_mul
(&outArray, divArray, cstArray,
false
));
ASSERT_IMAGES_NEAR
(goldArray, outArray,
0.025
);
ASSERT_SUCCESS
(
af_release_array
(_inArray));
ASSERT_SUCCESS
(
af_release_array
(_outArray));
ASSERT_SUCCESS
(
af_release_array
(inArray));
ASSERT_SUCCESS
(
af_release_array
(cstArray));
ASSERT_SUCCESS
(
af_release_array
(minArray));
ASSERT_SUCCESS
(
af_release_array
(denArray));
ASSERT_SUCCESS
(
af_release_array
(numArray));
ASSERT_SUCCESS
(
af_release_array
(divArray));
ASSERT_SUCCESS
(
af_release_array
(outArray));
ASSERT_SUCCESS
(
af_release_array
(_goldArray));
ASSERT_SUCCESS
(
af_release_array
(goldArray));
}
}
TYPED_TEST
(AnisotropicDiffusion, GradientGrayscale) {
UNSUPPORTED_BACKEND
(
AF_BACKEND_ONEAPI
);
//
Numeric values separated by underscore are arguments to fn being tested.
//
Divide first value by 1000 to get time step `dt`
//
Divide second value by 100 to get time step `K`
//
Divide third value stays as it is since it is iteration count
//
Fourth value is a 4-character string indicating the flux kind
imageTest<TypeParam,
false
>(
string
(
TEST_DIR
"
/gradient_diffusion/gray_00125_100_2_exp.test
"
),
0
.
125f
,
1.0
,
2
,
AF_FLUX_EXPONENTIAL
);
}
TYPED_TEST
(AnisotropicDiffusion, GradientColorImage) {
UNSUPPORTED_BACKEND
(
AF_BACKEND_ONEAPI
);
imageTest<TypeParam,
true
>(
string
(
TEST_DIR
"
/gradient_diffusion/color_00125_100_2_exp.test
"
),
0
.
125f
,
1.0
,
2
,
AF_FLUX_EXPONENTIAL
);
}
TEST
(AnisotropicDiffusion, GradientInvalidInputArray) {
try
{
array out =
anisotropicDiffusion
(
randu
(
100
),
0
.
125f
,
0
.
2f
,
10
,
AF_FLUX_QUADRATIC
);
}
catch
(exception &exp) {
ASSERT_EQ
(
AF_ERR_SIZE
, exp.
err
()); }
}
TYPED_TEST
(AnisotropicDiffusion, CurvatureGrayscale) {
UNSUPPORTED_BACKEND
(
AF_BACKEND_ONEAPI
);
//
Numeric values separated by underscore are arguments to fn being tested.
//
Divide first value by 1000 to get time step `dt`
//
Divide second value by 100 to get time step `K`
//
Divide third value stays as it is since it is iteration count
//
Fourth value is a 4-character string indicating the flux kind
imageTest<TypeParam,
false
>(
string
(
TEST_DIR
"
/curvature_diffusion/gray_00125_100_2_mcde.test
"
),
0
.
125f
,
1.0
,
2
,
AF_FLUX_EXPONENTIAL
,
true
);
}
TYPED_TEST
(AnisotropicDiffusion, CurvatureColorImage) {
UNSUPPORTED_BACKEND
(
AF_BACKEND_ONEAPI
);
imageTest<TypeParam,
true
>(
string
(
TEST_DIR
"
/curvature_diffusion/color_00125_100_2_mcde.test
"
),
0
.
125f
,
1.0
,
2
,
AF_FLUX_EXPONENTIAL
,
true
);
}
TEST
(AnisotropicDiffusion, CurvatureInvalidInputArray) {
try
{
array out =
anisotropicDiffusion
(
randu
(
100
),
0
.
125f
,
0
.
2f
,
10
);
}
catch
(exception &exp) {
ASSERT_EQ
(
AF_ERR_SIZE
, exp.
err
()); }
}
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