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/*******************************************************
* Copyright (c) 2015, 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 <af/compatible.h>
#include <string>
#include <vector>
#include <cmath>
#include <testHelpers.hpp>
#include <typeinfo>
using std::string;
using std::vector;
using std::abs;
using af::dim4;
typedef struct
{
float f[5];
} feat_t;
static bool feat_cmp(feat_t i, feat_t j)
{
for (int k = 0; k < 5; k++)
if (i.f[k] != j.f[k])
return (i.f[k] < j.f[k]);
return false;
}
static void array_to_feat(vector<feat_t>& feat, float *x, float *y, float *score, float *orientation, float *size, unsigned nfeat)
{
feat.resize(nfeat);
for (unsigned i = 0; i < feat.size(); i++) {
feat[i].f[0] = x[i];
feat[i].f[1] = y[i];
feat[i].f[2] = score[i];
feat[i].f[3] = orientation[i];
feat[i].f[4] = size[i];
}
}
template<typename T>
class Susan : public ::testing::Test
{
public:
virtual void SetUp() {}
};
typedef ::testing::Types<float, double, int, uint, char, uchar, short, ushort> TestTypes;
TYPED_TEST_CASE(Susan, TestTypes);
template<typename T>
void susanTest(string pTestFile, float t, float g)
{
if (noDoubleTests<T>()) return;
if (noImageIOTests()) return;
vector<dim4> inDims;
vector<string> inFiles;
vector<vector<float> > gold;
readImageTests(pTestFile, inDims, inFiles, gold);
size_t testCount = inDims.size();
for (size_t testId=0; testId<testCount; ++testId) {
inFiles[testId].insert(0, string(TEST_DIR "/susan/"));
af::array in = af::loadImage(inFiles[testId].c_str(), false);
af::features out = af::susan(in, 3, t, g, 0.05f, 3);
float * outX = new float[gold[0].size()];
float * outY = new float[gold[1].size()];
float * outScore = new float[gold[2].size()];
float * outOrientation = new float[gold[3].size()];
float * outSize = new float[gold[4].size()];
out.getX().host(outX);
out.getY().host(outY);
out.getScore().host(outScore);
out.getOrientation().host(outOrientation);
out.getSize().host(outSize);
vector<feat_t> out_feat;
array_to_feat(out_feat, outX, outY, outScore, outOrientation, outSize, out.getNumFeatures());
vector<feat_t> gold_feat;
array_to_feat(gold_feat, &gold[0].front(), &gold[1].front(), &gold[2].front(), &gold[3].front(), &gold[4].front(), gold[0].size());
std::sort(out_feat.begin(), out_feat.end(), feat_cmp);
std::sort(gold_feat.begin(), gold_feat.end(), feat_cmp);
for (int elIter = 0; elIter < (int)out.getNumFeatures(); elIter++) {
ASSERT_EQ(out_feat[elIter].f[0], gold_feat[elIter].f[0]) << "at: " << elIter << std::endl;
ASSERT_EQ(out_feat[elIter].f[1], gold_feat[elIter].f[1]) << "at: " << elIter << std::endl;
ASSERT_LE(fabs(out_feat[elIter].f[2] - gold_feat[elIter].f[2]), 1e2) << "at: " << elIter << std::endl;
ASSERT_EQ(out_feat[elIter].f[3], gold_feat[elIter].f[3]) << "at: " << elIter << std::endl;
ASSERT_EQ(out_feat[elIter].f[4], gold_feat[elIter].f[4]) << "at: " << elIter << std::endl;
}
delete [] outX;
delete [] outY;
delete [] outScore;
delete [] outOrientation;
delete [] outSize;
}
}
#define SUSAN_TEST(image, tval, gval) \
TYPED_TEST(Susan, image) \
{ \
susanTest<TypeParam>(string(TEST_DIR "/susan/"#image".test"), tval, gval);\
}
SUSAN_TEST(man_t32_g10, 32, 10);
SUSAN_TEST(square_t32_g10, 32, 10);
SUSAN_TEST(square_t32_g20, 32, 20);
TEST(Susan, InvalidDims)
{
try {
af::array a = af::randu(256);
af::features out = af::susan(a);
EXPECT_TRUE(false);
} catch (af::exception &e) {
EXPECT_TRUE(true);
}
}
TEST(Susan, InvalidRadius)
{
try {
af::array a = af::randu(256);
af::features out = af::susan(a, 10);
EXPECT_TRUE(false);
} catch (af::exception &e) {
EXPECT_TRUE(true);
}
}
TEST(Susan, InvalidThreshold)
{
try {
af::array a = af::randu(256);
af::features out = af::susan(a, 3, -32, 10, 0.05f, 3);
EXPECT_TRUE(false);
} catch (af::exception &e) {
EXPECT_TRUE(true);
}
}
TEST(Susan, InvalidFeatureRatio)
{
try {
af::array a = af::randu(256);
af::features out = af::susan(a, 3, 32, 10, 1.3f, 3);
EXPECT_TRUE(false);
} catch (af::exception &e) {
EXPECT_TRUE(true);
}
}
TEST(Susan, InvalidEdge)
{
try {
af::array a = af::randu(128, 128);
af::features out = af::susan(a, 3, 32, 10, 1.3f, 129);
EXPECT_TRUE(false);
} catch (af::exception &e) {
EXPECT_TRUE(true);
}
}
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