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/*******************************************************
* Copyright (c) 2014, 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 <gtest/gtest.h>
#include <arrayfire.h>
#include <af/dim4.hpp>
#include <af/traits.hpp>
#include <string>
#include <vector>
#include <testHelpers.hpp>
#include <cmath>
using std::string;
using std::vector;
using std::abs;
using af::dim4;
template<typename T>
class Meanshift : public ::testing::Test
{
public:
virtual void SetUp() {}
};
typedef ::testing::Types<float, double, int, uint, char, uchar, short, ushort, intl, uintl> TestTypes;
TYPED_TEST_CASE(Meanshift, TestTypes);
TYPED_TEST(Meanshift, InvalidArgs)
{
if (noDoubleTests<TypeParam>()) return;
vector<TypeParam> in(100,1);
af_array inArray = 0;
af_array outArray = 0;
af::dim4 dims = af::dim4(100,1,1,1);
ASSERT_EQ(AF_SUCCESS, af_create_array(&inArray, &in.front(),
dims.ndims(), dims.get(), (af_dtype) af::dtype_traits<TypeParam>::af_type));
ASSERT_EQ(AF_ERR_SIZE, af_mean_shift(&outArray, inArray, 0.12f, 0.34f, 5, true));
ASSERT_EQ(AF_SUCCESS, af_release_array(inArray));
}
template<typename T, bool isColor>
void meanshiftTest(string pTestFile)
{
if (noDoubleTests<T>()) return;
if (noImageIOTests()) return;
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) {
af_array inArray = 0;
af_array inArray_f32 = 0;
af_array outArray = 0;
af_array goldArray = 0;
af_array goldArray_f32 = 0;
dim_t nElems = 0;
inFiles[testId].insert(0,string(TEST_DIR"/meanshift/"));
outFiles[testId].insert(0,string(TEST_DIR"/meanshift/"));
ASSERT_EQ(AF_SUCCESS, af_load_image(&inArray_f32, inFiles[testId].c_str(), isColor));
ASSERT_EQ(AF_SUCCESS, conv_image<T>(&inArray, inArray_f32));
ASSERT_EQ(AF_SUCCESS, af_load_image(&goldArray_f32, outFiles[testId].c_str(), isColor));
ASSERT_EQ(AF_SUCCESS, conv_image<T>(&goldArray, goldArray_f32)); // af_load_image always returns float array
ASSERT_EQ(AF_SUCCESS, af_get_elements(&nElems, goldArray));
ASSERT_EQ(AF_SUCCESS, af_mean_shift(&outArray, inArray, 2.25f, 25.56f, 5, isColor));
T * outData = new T[nElems];
ASSERT_EQ(AF_SUCCESS, af_get_data_ptr((void*)outData, outArray));
T * goldData= new T[nElems];
ASSERT_EQ(AF_SUCCESS, af_get_data_ptr((void*)goldData, goldArray));
ASSERT_EQ(true, compareArraysRMSD(nElems, goldData, outData, 0.07f));
ASSERT_EQ(AF_SUCCESS, af_release_array(inArray));
ASSERT_EQ(AF_SUCCESS, af_release_array(inArray_f32));
ASSERT_EQ(AF_SUCCESS, af_release_array(outArray));
ASSERT_EQ(AF_SUCCESS, af_release_array(goldArray));
ASSERT_EQ(AF_SUCCESS, af_release_array(goldArray_f32));
}
}
// create a list of types to be tested
// FIXME: since af_load_image returns only f32 type arrays
// only float, double data types test are enabled & passing
// Note: compareArraysRMSD is handling upcasting while working
// with two different type of types
//
#define IMAGE_TESTS(T) \
TEST(Meanshift, Grayscale_##T) \
{ \
meanshiftTest<T, false>(string(TEST_DIR"/meanshift/gray.test")); \
} \
TEST(Meanshift, Color_##T) \
{ \
meanshiftTest<T, true>(string(TEST_DIR"/meanshift/color.test")); \
}
IMAGE_TESTS(float )
IMAGE_TESTS(double)
//////////////////////////////////////// CPP ///////////////////////////////
//
TEST(Meanshift, Color_CPP)
{
if (noDoubleTests<float>()) return;
if (noImageIOTests()) return;
vector<dim4> inDims;
vector<string> inFiles;
vector<dim_t> outSizes;
vector<string> outFiles;
readImageTests(string(TEST_DIR"/meanshift/color.test"), inDims, inFiles, outSizes, outFiles);
size_t testCount = inDims.size();
for (size_t testId=0; testId<testCount; ++testId) {
inFiles[testId].insert(0,string(TEST_DIR"/meanshift/"));
outFiles[testId].insert(0,string(TEST_DIR"/meanshift/"));
af::array img = af::loadImage(inFiles[testId].c_str(), true);
af::array gold = af::loadImage(outFiles[testId].c_str(), true);
dim_t nElems = gold.elements();
af::array output= af::meanShift(img, 2.25f, 25.56f, 5, true);
float * outData = new float[nElems];
output.host((void*)outData);
float * goldData= new float[nElems];
gold.host((void*)goldData);
ASSERT_EQ(true, compareArraysRMSD(nElems, goldData, outData, 0.07f));
// cleanup
delete[] outData;
delete[] goldData;
}
}
TEST(meanshift, GFOR)
{
using namespace af;
dim4 dims = dim4(10, 10, 3);
array A = iota(dims);
array B = constant(0, dims);
gfor(seq ii, 3) {
B(span, span, ii) = meanShift(A(span, span, ii), 3, 5, 3);
}
for(int ii = 0; ii < 3; ii++) {
array c_ii = meanShift(A(span, span, ii), 3, 5, 3);
array b_ii = B(span, span, ii);
ASSERT_EQ(max<double>(abs(c_ii - b_ii)) < 1E-5, true);
}
}
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