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opencv/modules/imgproc/test/test_imgwarp_strict.cpp
Roman Donchenko 4f109d1292 Fixed a memory access error in CV_Remap_Test::generate_test_data. 
begin_x[1] is not the second component of the element, but the element
after the one pointed to begin_x. When begin_x points to the last
element, that line overwrites data past the end of the allocation, which,
during my tests, happened to contain the reference count for the matrix.
Hilarity ensues.
2013-09-06 16:02:41 +04:00

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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of Intel Corporation may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "test_precomp.hpp"
#include <cmath>
#include <vector>
#include <iostream>
using namespace cv;
namespace internal
{
void __wrap_printf_func(const char* fmt, ...)
{
va_list args;
va_start(args, fmt);
char buffer[256];
vsprintf (buffer, fmt, args);
cvtest::TS::ptr()->printf(cvtest::TS::SUMMARY, buffer);
va_end(args);
}
#define PRINT_TO_LOG __wrap_printf_func
}
using internal::PRINT_TO_LOG;
#define SHOW_IMAGE
#undef SHOW_IMAGE
////////////////////////////////////////////////////////////////////////////////////////////////////////
// ImageWarpBaseTest
////////////////////////////////////////////////////////////////////////////////////////////////////////
class CV_ImageWarpBaseTest :
public cvtest::BaseTest
{
public:
enum { cell_size = 10 };
CV_ImageWarpBaseTest();
virtual ~CV_ImageWarpBaseTest();
virtual void run(int);
protected:
virtual void generate_test_data();
virtual void run_func() = 0;
virtual void run_reference_func() = 0;
virtual void validate_results() const;
virtual void prepare_test_data_for_reference_func();
Size randSize(RNG& rng) const;
const char* interpolation_to_string(int inter_type) const;
int interpolation;
Mat src;
Mat dst;
Mat reference_dst;
};
CV_ImageWarpBaseTest::CV_ImageWarpBaseTest() :
BaseTest(), interpolation(-1),
src(), dst(), reference_dst()
{
test_case_count = 40;
ts->set_failed_test_info(cvtest::TS::OK);
}
CV_ImageWarpBaseTest::~CV_ImageWarpBaseTest()
{
}
const char* CV_ImageWarpBaseTest::interpolation_to_string(int inter) const
{
if (inter == INTER_NEAREST)
return "INTER_NEAREST";
if (inter == INTER_LINEAR)
return "INTER_LINEAR";
if (inter == INTER_AREA)
return "INTER_AREA";
if (inter == INTER_CUBIC)
return "INTER_CUBIC";
if (inter == INTER_LANCZOS4)
return "INTER_LANCZOS4";
if (inter == INTER_LANCZOS4 + 1)
return "INTER_AREA_FAST";
return "Unsupported/Unkown interpolation type";
}
Size CV_ImageWarpBaseTest::randSize(RNG& rng) const
{
Size size;
size.width = static_cast<int>(std::exp(rng.uniform(1.0f, 7.0f)));
size.height = static_cast<int>(std::exp(rng.uniform(1.0f, 7.0f)));
return size;
}
void CV_ImageWarpBaseTest::generate_test_data()
{
RNG& rng = ts->get_rng();
// generating the src matrix structure
Size ssize = randSize(rng), dsize;
int depth = rng.uniform(0, CV_64F);
while (depth == CV_8S || depth == CV_32S)
depth = rng.uniform(0, CV_64F);
int cn = rng.uniform(1, 4);
while (cn == 2)
cn = rng.uniform(1, 4);
src.create(ssize, CV_MAKE_TYPE(depth, cn));
// generating the src matrix
int x, y;
if (cvtest::randInt(rng) % 2)
{
for (y = 0; y < ssize.height; y += cell_size)
for (x = 0; x < ssize.width; x += cell_size)
rectangle(src, Point(x, y), Point(x + std::min<int>(cell_size, ssize.width - x), y +
std::min<int>(cell_size, ssize.height - y)), Scalar::all((x + y) % 2 ? 255: 0), CV_FILLED);
}
else
{
src = Scalar::all(255);
for (y = cell_size; y < src.rows; y += cell_size)
line(src, Point2i(0, y), Point2i(src.cols, y), Scalar::all(0), 1);
for (x = cell_size; x < src.cols; x += cell_size)
line(src, Point2i(x, 0), Point2i(x, src.rows), Scalar::all(0), 1);
}
// generating an interpolation type
interpolation = rng.uniform(0, CV_INTER_LANCZOS4 + 1);
// generating the dst matrix structure
double scale_x, scale_y;
if (interpolation == INTER_AREA)
{
bool area_fast = rng.uniform(0., 1.) > 0.5;
if (area_fast)
{
scale_x = rng.uniform(2, 5);
scale_y = rng.uniform(2, 5);
}
else
{
scale_x = rng.uniform(1.0, 3.0);
scale_y = rng.uniform(1.0, 3.0);
}
}
else
{
scale_x = rng.uniform(0.4, 4.0);
scale_y = rng.uniform(0.4, 4.0);
}
CV_Assert(scale_x > 0.0f && scale_y > 0.0f);
dsize.width = saturate_cast<int>((ssize.width + scale_x - 1) / scale_x);
dsize.height = saturate_cast<int>((ssize.height + scale_y - 1) / scale_y);
dst = Mat::zeros(dsize, src.type());
reference_dst = Mat::zeros(dst.size(), CV_MAKE_TYPE(CV_32F, dst.channels()));
scale_x = src.cols / static_cast<double>(dst.cols);
scale_y = src.rows / static_cast<double>(dst.rows);
if (interpolation == INTER_AREA && (scale_x < 1.0 || scale_y < 1.0))
interpolation = INTER_LINEAR;
}
void CV_ImageWarpBaseTest::run(int)
{
for (int i = 0; i < test_case_count; ++i)
{
generate_test_data();
run_func();
run_reference_func();
if (ts->get_err_code() < 0)
break;
validate_results();
if (ts->get_err_code() < 0)
break;
ts->update_context(this, i, true);
}
ts->set_gtest_status();
}
void CV_ImageWarpBaseTest::validate_results() const
{
Mat _dst;
dst.convertTo(_dst, reference_dst.depth());
Size dsize = dst.size(), ssize = src.size();
int cn = _dst.channels();
dsize.width *= cn;
float t = 1.0f;
if (interpolation == INTER_CUBIC)
t = 1.0f;
else if (interpolation == INTER_LANCZOS4)
t = 1.0f;
else if (interpolation == INTER_NEAREST)
t = 1.0f;
else if (interpolation == INTER_AREA)
t = 2.0f;
for (int dy = 0; dy < dsize.height; ++dy)
{
const float* rD = reference_dst.ptr<float>(dy);
const float* D = _dst.ptr<float>(dy);
for (int dx = 0; dx < dsize.width; ++dx)
if (fabs(rD[dx] - D[dx]) > t &&
// fabs(rD[dx] - D[dx]) < 250.0f &&
rD[dx] <= 255.0f && D[dx] <= 255.0f && rD[dx] >= 0.0f && D[dx] >= 0.0f)
{
PRINT_TO_LOG("\nNorm of the difference: %lf\n", norm(reference_dst, _dst, NORM_INF));
PRINT_TO_LOG("Error in (dx, dy): (%d, %d)\n", dx / cn + 1, dy + 1);
PRINT_TO_LOG("Tuple (rD, D): (%f, %f)\n", rD[dx], D[dx]);
PRINT_TO_LOG("Dsize: (%d, %d)\n", dsize.width / cn, dsize.height);
PRINT_TO_LOG("Ssize: (%d, %d)\n", src.cols, src.rows);
double scale_x = static_cast<double>(ssize.width) / dsize.width;
double scale_y = static_cast<double>(ssize.height) / dsize.height;
bool area_fast = interpolation == INTER_AREA &&
fabs(scale_x - cvRound(scale_x)) < FLT_EPSILON &&
fabs(scale_y - cvRound(scale_y)) < FLT_EPSILON;
if (area_fast)
{
scale_y = cvRound(scale_y);
scale_x = cvRound(scale_x);
}
PRINT_TO_LOG("Interpolation: %s\n", interpolation_to_string(area_fast ? INTER_LANCZOS4 + 1 : interpolation));
PRINT_TO_LOG("Scale (x, y): (%lf, %lf)\n", scale_x, scale_y);
PRINT_TO_LOG("Elemsize: %d\n", src.elemSize1());
PRINT_TO_LOG("Channels: %d\n", cn);
#ifdef SHOW_IMAGE
const std::string w1("OpenCV impl (run func)"), w2("Reference func"), w3("Src image"), w4("Diff");
namedWindow(w1, CV_WINDOW_KEEPRATIO);
namedWindow(w2, CV_WINDOW_KEEPRATIO);
namedWindow(w3, CV_WINDOW_KEEPRATIO);
namedWindow(w4, CV_WINDOW_KEEPRATIO);
Mat diff;
absdiff(reference_dst, _dst, diff);
imshow(w1, dst);
imshow(w2, reference_dst);
imshow(w3, src);
imshow(w4, diff);
waitKey();
#endif
const int radius = 3;
int rmin = MAX(dy - radius, 0), rmax = MIN(dy + radius, dsize.height);
int cmin = MAX(dx / cn - radius, 0), cmax = MIN(dx / cn + radius, dsize.width);
std::cout << "opencv result:\n" << dst(Range(rmin, rmax), Range(cmin, cmax)) << std::endl;
std::cout << "reference result:\n" << reference_dst(Range(rmin, rmax), Range(cmin, cmax)) << std::endl;
ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
return;
}
}
}
void CV_ImageWarpBaseTest::prepare_test_data_for_reference_func()
{
if (src.depth() != CV_32F)
{
Mat tmp;
src.convertTo(tmp, CV_32F);
src = tmp;
}
}
////////////////////////////////////////////////////////////////////////////////////////////////////////
// Resize
////////////////////////////////////////////////////////////////////////////////////////////////////////
class CV_Resize_Test :
public CV_ImageWarpBaseTest
{
public:
CV_Resize_Test();
virtual ~CV_Resize_Test();
protected:
virtual void generate_test_data();
virtual void run_func();
virtual void run_reference_func();
private:
double scale_x;
double scale_y;
bool area_fast;
void resize_generic();
void resize_area();
double getWeight(double a, double b, int x);
typedef std::vector<std::pair<int, double> > dim;
void generate_buffer(double scale, dim& _dim);
void resize_1d(const Mat& _src, Mat& _dst, int dy, const dim& _dim);
};
CV_Resize_Test::CV_Resize_Test() :
CV_ImageWarpBaseTest(), scale_x(),
scale_y(), area_fast(false)
{
}
CV_Resize_Test::~CV_Resize_Test()
{
}
namespace internal
{
void interpolateLinear(float x, float* coeffs)
{
coeffs[0] = 1.f - x;
coeffs[1] = x;
}
void interpolateCubic(float x, float* coeffs)
{
const float A = -0.75f;
coeffs[0] = ((A*(x + 1) - 5*A)*(x + 1) + 8*A)*(x + 1) - 4*A;
coeffs[1] = ((A + 2)*x - (A + 3))*x*x + 1;
coeffs[2] = ((A + 2)*(1 - x) - (A + 3))*(1 - x)*(1 - x) + 1;
coeffs[3] = 1.f - coeffs[0] - coeffs[1] - coeffs[2];
}
void interpolateLanczos4(float x, float* coeffs)
{
static const double s45 = 0.70710678118654752440084436210485;
static const double cs[][2]=
{{1, 0}, {-s45, -s45}, {0, 1}, {s45, -s45}, {-1, 0}, {s45, s45}, {0, -1}, {-s45, s45}};
if( x < FLT_EPSILON )
{
for( int i = 0; i < 8; i++ )
coeffs[i] = 0;
coeffs[3] = 1;
return;
}
float sum = 0;
double y0=-(x+3)*CV_PI*0.25, s0 = sin(y0), c0=cos(y0);
for(int i = 0; i < 8; i++ )
{
double y = -(x+3-i)*CV_PI*0.25;
coeffs[i] = (float)((cs[i][0]*s0 + cs[i][1]*c0)/(y*y));
sum += coeffs[i];
}
sum = 1.f/sum;
for(int i = 0; i < 8; i++ )
coeffs[i] *= sum;
}
typedef void (*interpolate_method)(float x, float* coeffs);
interpolate_method inter_array[] = { &interpolateLinear, &interpolateCubic, &interpolateLanczos4 };
}
void CV_Resize_Test::generate_test_data()
{
CV_ImageWarpBaseTest::generate_test_data();
scale_x = src.cols / static_cast<double>(dst.cols);
scale_y = src.rows / static_cast<double>(dst.rows);
area_fast = interpolation == INTER_AREA &&
fabs(scale_x - cvRound(scale_x)) < FLT_EPSILON &&
fabs(scale_y - cvRound(scale_y)) < FLT_EPSILON;
if (area_fast)
{
scale_x = cvRound(scale_x);
scale_y = cvRound(scale_y);
}
}
void CV_Resize_Test::run_func()
{
cv::resize(src, dst, dst.size(), 0, 0, interpolation);
}
void CV_Resize_Test::run_reference_func()
{
CV_ImageWarpBaseTest::prepare_test_data_for_reference_func();
if (interpolation == INTER_AREA)
resize_area();
else
resize_generic();
}
double CV_Resize_Test::getWeight(double a, double b, int x)
{
double w = std::min(static_cast<double>(x + 1), b) - std::max(static_cast<double>(x), a);
CV_Assert(w >= 0);
return w;
}
void CV_Resize_Test::resize_area()
{
Size ssize = src.size(), dsize = reference_dst.size();
CV_Assert(ssize.area() > 0 && dsize.area() > 0);
int cn = src.channels();
CV_Assert(scale_x >= 1.0 && scale_y >= 1.0);
double fsy0 = 0, fsy1 = scale_y;
for (int dy = 0; dy < dsize.height; ++dy)
{
float* yD = reference_dst.ptr<float>(dy);
int isy0 = cvFloor(fsy0), isy1 = std::min(cvFloor(fsy1), ssize.height - 1);
CV_Assert(isy1 <= ssize.height && isy0 < ssize.height);
double fsx0 = 0, fsx1 = scale_x;
for (int dx = 0; dx < dsize.width; ++dx)
{
float* xyD = yD + cn * dx;
int isx0 = cvFloor(fsx0), isx1 = std::min(ssize.width - 1, cvFloor(fsx1));
CV_Assert(isx1 <= ssize.width);
CV_Assert(isx0 < ssize.width);
// for each pixel of dst
for (int r = 0; r < cn; ++r)
{
xyD[r] = 0.0f;
double area = 0.0;
for (int sy = isy0; sy <= isy1; ++sy)
{
const float* yS = src.ptr<float>(sy);
for (int sx = isx0; sx <= isx1; ++sx)
{
double wy = getWeight(fsy0, fsy1, sy);
double wx = getWeight(fsx0, fsx1, sx);
double w = wx * wy;
xyD[r] += static_cast<float>(yS[sx * cn + r] * w);
area += w;
}
}
CV_Assert(area != 0);
// norming pixel
xyD[r] = static_cast<float>(xyD[r] / area);
}
fsx1 = std::min((fsx0 = fsx1) + scale_x, static_cast<double>(ssize.width));
}
fsy1 = std::min((fsy0 = fsy1) + scale_y, static_cast<double>(ssize.height));
}
}
// for interpolation type : INTER_LINEAR, INTER_LINEAR, INTER_CUBIC, INTER_LANCZOS4
void CV_Resize_Test::resize_1d(const Mat& _src, Mat& _dst, int dy, const dim& _dim)
{
Size dsize = _dst.size();
int cn = _dst.channels();
float* yD = _dst.ptr<float>(dy);
if (interpolation == INTER_NEAREST)
{
const float* yS = _src.ptr<float>(dy);
for (int dx = 0; dx < dsize.width; ++dx)
{
int isx = _dim[dx].first;
const float* xyS = yS + isx * cn;
float* xyD = yD + dx * cn;
for (int r = 0; r < cn; ++r)
xyD[r] = xyS[r];
}
}
else if (interpolation == INTER_LINEAR || interpolation == INTER_CUBIC || interpolation == INTER_LANCZOS4)
{
internal::interpolate_method inter_func = internal::inter_array[interpolation - (interpolation == INTER_LANCZOS4 ? 2 : 1)];
size_t elemsize = _src.elemSize();
int ofs = 0, ksize = 2;
if (interpolation == INTER_CUBIC)
ofs = 1, ksize = 4;
else if (interpolation == INTER_LANCZOS4)
ofs = 3, ksize = 8;
Mat _extended_src_row(1, _src.cols + ksize * 2, _src.type());
uchar* srow = _src.data + dy * _src.step;
memcpy(_extended_src_row.data + elemsize * ksize, srow, _src.step);
for (int k = 0; k < ksize; ++k)
{
memcpy(_extended_src_row.data + k * elemsize, srow, elemsize);
memcpy(_extended_src_row.data + (ksize + k) * elemsize + _src.step, srow + _src.step - elemsize, elemsize);
}
for (int dx = 0; dx < dsize.width; ++dx)
{
int isx = _dim[dx].first;
double fsx = _dim[dx].second;
float *xyD = yD + dx * cn;
const float* xyS = _extended_src_row.ptr<float>(0) + (isx + ksize - ofs) * cn;
float w[8];
inter_func(static_cast<float>(fsx), w);
for (int r = 0; r < cn; ++r)
{
xyD[r] = 0;
for (int k = 0; k < ksize; ++k)
xyD[r] += w[k] * xyS[k * cn + r];
xyD[r] = xyD[r];
}
}
}
else
CV_Assert(0);
}
void CV_Resize_Test::generate_buffer(double scale, dim& _dim)
{
size_t length = _dim.size();
for (size_t dx = 0; dx < length; ++dx)
{
double fsx = scale * (dx + 0.5) - 0.5;
int isx = cvFloor(fsx);
_dim[dx] = std::make_pair(isx, fsx - isx);
}
}
void CV_Resize_Test::resize_generic()
{
Size dsize = reference_dst.size(), ssize = src.size();
CV_Assert(dsize.area() > 0 && ssize.area() > 0);
dim dims[] = { dim(dsize.width), dim(dsize.height) };
if (interpolation == INTER_NEAREST)
{
for (int dx = 0; dx < dsize.width; ++dx)
dims[0][dx].first = std::min(cvFloor(dx * scale_x), ssize.width - 1);
for (int dy = 0; dy < dsize.height; ++dy)
dims[1][dy].first = std::min(cvFloor(dy * scale_y), ssize.height - 1);
}
else
{
generate_buffer(scale_x, dims[0]);
generate_buffer(scale_y, dims[1]);
}
Mat tmp(ssize.height, dsize.width, reference_dst.type());
for (int dy = 0; dy < tmp.rows; ++dy)
resize_1d(src, tmp, dy, dims[0]);
transpose(tmp, tmp);
transpose(reference_dst, reference_dst);
for (int dy = 0; dy < tmp.rows; ++dy)
resize_1d(tmp, reference_dst, dy, dims[1]);
transpose(reference_dst, reference_dst);
}
////////////////////////////////////////////////////////////////////////////////////////////////////////
// remap
////////////////////////////////////////////////////////////////////////////////////////////////////////
class CV_Remap_Test :
public CV_ImageWarpBaseTest
{
public:
CV_Remap_Test();
virtual ~CV_Remap_Test();
private:
typedef void (CV_Remap_Test::*remap_func)(const Mat&, Mat&);
protected:
virtual void generate_test_data();
virtual void prepare_test_data_for_reference_func();
virtual void run_func();
virtual void run_reference_func();
Mat mapx, mapy;
int borderType;
Scalar borderValue;
remap_func funcs[2];
private:
void remap_nearest(const Mat&, Mat&);
void remap_generic(const Mat&, Mat&);
void convert_maps();
const char* borderType_to_string() const;
virtual void validate_results() const;
};
CV_Remap_Test::CV_Remap_Test() :
CV_ImageWarpBaseTest(), mapx(), mapy(),
borderType(-1), borderValue()
{
funcs[0] = &CV_Remap_Test::remap_nearest;
funcs[1] = &CV_Remap_Test::remap_generic;
}
CV_Remap_Test::~CV_Remap_Test()
{
}
void CV_Remap_Test::generate_test_data()
{
CV_ImageWarpBaseTest::generate_test_data();
RNG& rng = ts->get_rng();
borderType = rng.uniform(1, BORDER_WRAP);
borderValue = Scalar::all(rng.uniform(0, 255));
// generating the mapx, mapy matrices
static const int mapx_types[] = { CV_16SC2, CV_32FC1, CV_32FC2 };
mapx.create(dst.size(), mapx_types[rng.uniform(0, sizeof(mapx_types) / sizeof(int))]);
mapy = Mat();
const int n = std::min(std::min(src.cols, src.rows) / 10 + 1, 2);
float _n = 0; //static_cast<float>(-n);
switch (mapx.type())
{
case CV_16SC2:
{
MatIterator_<Vec2s> begin_x = mapx.begin<Vec2s>(), end_x = mapx.end<Vec2s>();
for ( ; begin_x != end_x; ++begin_x)
{
(*begin_x)[0] = static_cast<short>(rng.uniform(static_cast<int>(_n), std::max(src.cols + n - 1, 0)));
(*begin_x)[1] = static_cast<short>(rng.uniform(static_cast<int>(_n), std::max(src.rows + n - 1, 0)));
}
if (interpolation != INTER_NEAREST)
{
static const int mapy_types[] = { CV_16UC1, CV_16SC1 };
mapy.create(dst.size(), mapy_types[rng.uniform(0, sizeof(mapy_types) / sizeof(int))]);
switch (mapy.type())
{
case CV_16UC1:
{
MatIterator_<ushort> begin_y = mapy.begin<ushort>(), end_y = mapy.end<ushort>();
for ( ; begin_y != end_y; ++begin_y)
begin_y[0] = static_cast<short>(rng.uniform(0, 1024));
}
break;
case CV_16SC1:
{
MatIterator_<short> begin_y = mapy.begin<short>(), end_y = mapy.end<short>();
for ( ; begin_y != end_y; ++begin_y)
begin_y[0] = static_cast<short>(rng.uniform(0, 1024));
}
break;
}
}
}
break;
case CV_32FC1:
{
mapy.create(dst.size(), CV_32FC1);
float fscols = static_cast<float>(std::max(src.cols - 1 + n, 0)),
fsrows = static_cast<float>(std::max(src.rows - 1 + n, 0));
MatIterator_<float> begin_x = mapx.begin<float>(), end_x = mapx.end<float>();
MatIterator_<float> begin_y = mapy.begin<float>();
for ( ; begin_x != end_x; ++begin_x, ++begin_y)
{
begin_x[0] = rng.uniform(_n, fscols);
begin_y[0] = rng.uniform(_n, fsrows);
}
}
break;
case CV_32FC2:
{
MatIterator_<Vec2f> begin_x = mapx.begin<Vec2f>(), end_x = mapx.end<Vec2f>();
float fscols = static_cast<float>(std::max(src.cols - 1 + n, 0)),
fsrows = static_cast<float>(std::max(src.rows - 1 + n, 0));
for ( ; begin_x != end_x; ++begin_x)
{
begin_x[0] = rng.uniform(_n, fscols);
begin_x[1] = rng.uniform(_n, fsrows);
}
}
break;
default:
assert(0);
break;
}
}
void CV_Remap_Test::run_func()
{
remap(src, dst, mapx, mapy, interpolation, borderType, borderValue);
}
void CV_Remap_Test::convert_maps()
{
if (mapx.type() != CV_16SC2)
convertMaps(mapx.clone(), mapy.clone(), mapx, mapy, CV_16SC2, interpolation == INTER_NEAREST);
else if (interpolation != INTER_NEAREST)
if (mapy.type() != CV_16UC1)
mapy.clone().convertTo(mapy, CV_16UC1);
if (interpolation == INTER_NEAREST)
mapy = Mat();
CV_Assert(((interpolation == INTER_NEAREST && !mapy.data) || mapy.type() == CV_16UC1 ||
mapy.type() == CV_16SC1) && mapx.type() == CV_16SC2);
}
const char* CV_Remap_Test::borderType_to_string() const
{
if (borderType == BORDER_CONSTANT)
return "BORDER_CONSTANT";
if (borderType == BORDER_REPLICATE)
return "BORDER_REPLICATE";
if (borderType == BORDER_REFLECT)
return "BORDER_REFLECT";
return "Unsupported/Unkown border type";
}
void CV_Remap_Test::prepare_test_data_for_reference_func()
{
CV_ImageWarpBaseTest::prepare_test_data_for_reference_func();
convert_maps();
/*
const int ksize = 3;
Mat kernel = getStructuringElement(CV_MOP_ERODE, Size(ksize, ksize));
Mat mask(src.size(), CV_8UC1, Scalar::all(255)), dst_mask;
cv::erode(src, erode_src, kernel);
cv::erode(mask, dst_mask, kernel, Point(-1, -1), 1, BORDER_CONSTANT, Scalar::all(0));
bitwise_not(dst_mask, mask);
src.copyTo(erode_src, mask);
dst_mask.release();
mask = Scalar::all(0);
kernel = getStructuringElement(CV_MOP_DILATE, kernel.size());
cv::dilate(src, dilate_src, kernel);
cv::dilate(mask, dst_mask, kernel, Point(-1, -1), 1, BORDER_CONSTANT, Scalar::all(255));
src.copyTo(dilate_src, dst_mask);
dst_mask.release();
*/
}
void CV_Remap_Test::run_reference_func()
{
prepare_test_data_for_reference_func();
if (interpolation == INTER_AREA)
interpolation = INTER_LINEAR;
int index = interpolation == INTER_NEAREST ? 0 : 1;
(this->*funcs[index])(src, reference_dst);
}
void CV_Remap_Test::remap_nearest(const Mat& _src, Mat& _dst)
{
CV_Assert(_src.depth() == CV_32F && _dst.type() == _src.type());
CV_Assert(mapx.type() == CV_16SC2 && !mapy.data);
Size ssize = _src.size(), dsize = _dst.size();
CV_Assert(ssize.area() > 0 && dsize.area() > 0);
int cn = _src.channels();
for (int dy = 0; dy < dsize.height; ++dy)
{
const short* yM = mapx.ptr<short>(dy);
float* yD = _dst.ptr<float>(dy);
for (int dx = 0; dx < dsize.width; ++dx)
{
float* xyD = yD + cn * dx;
int sx = yM[dx * 2], sy = yM[dx * 2 + 1];
if (sx >= 0 && sx < ssize.width && sy >= 0 && sy < ssize.height)
{
const float *xyS = _src.ptr<float>(sy) + sx * cn;
for (int r = 0; r < cn; ++r)
xyD[r] = xyS[r];
}
else if (borderType != BORDER_TRANSPARENT)
{
if (borderType == BORDER_CONSTANT)
for (int r = 0; r < cn; ++r)
xyD[r] = saturate_cast<float>(borderValue[r]);
else
{
sx = borderInterpolate(sx, ssize.width, borderType);
sy = borderInterpolate(sy, ssize.height, borderType);
CV_Assert(sx >= 0 && sy >= 0 && sx < ssize.width && sy < ssize.height);
const float *xyS = _src.ptr<float>(sy) + sx * cn;
for (int r = 0; r < cn; ++r)
xyD[r] = xyS[r];
}
}
}
}
}
void CV_Remap_Test::remap_generic(const Mat& _src, Mat& _dst)
{
CV_Assert(mapx.type() == CV_16SC2 && mapy.type() == CV_16UC1);
int ksize = 2;
if (interpolation == INTER_CUBIC)
ksize = 4;
else if (interpolation == INTER_LANCZOS4)
ksize = 8;
else if (interpolation != INTER_LINEAR)
assert(0);
int ofs = (ksize / 2) - 1;
CV_Assert(_src.depth() == CV_32F && _dst.type() == _src.type());
Size ssize = _src.size(), dsize = _dst.size();
int cn = _src.channels(), width1 = std::max(ssize.width - ksize + 1, 0),
height1 = std::max(ssize.height - ksize + 1, 0);
float ix[8], w[16];
internal::interpolate_method inter_func = internal::inter_array[interpolation - (interpolation == INTER_LANCZOS4 ? 2 : 1)];
for (int dy = 0; dy < dsize.height; ++dy)
{
const short* yMx = mapx.ptr<short>(dy);
const ushort* yMy = mapy.ptr<ushort>(dy);
float* yD = _dst.ptr<float>(dy);
for (int dx = 0; dx < dsize.width; ++dx)
{
float* xyD = yD + dx * cn;
float sx = yMx[dx * 2], sy = yMx[dx * 2 + 1];
int isx = cvFloor(sx), isy = cvFloor(sy);
inter_func((yMy[dx] & (INTER_TAB_SIZE - 1)) / static_cast<float>(INTER_TAB_SIZE), w);
inter_func(((yMy[dx] >> INTER_BITS) & (INTER_TAB_SIZE - 1)) / static_cast<float>(INTER_TAB_SIZE), w + ksize);
isx -= ofs;
isy -= ofs;
if (isx >= 0 && isx < width1 && isy >= 0 && isy < height1)
{
for (int r = 0; r < cn; ++r)
{
for (int y = 0; y < ksize; ++y)
{
const float* xyS = _src.ptr<float>(isy + y) + isx * cn;
ix[y] = 0;
for (int i = 0; i < ksize; ++i)
ix[y] += w[i] * xyS[i * cn + r];
}
xyD[r] = 0;
for (int i = 0; i < ksize; ++i)
xyD[r] += w[ksize + i] * ix[i];
}
}
else if (borderType != BORDER_TRANSPARENT)
{
int ar_x[8], ar_y[8];
for (int k = 0; k < ksize; k++)
{
ar_x[k] = borderInterpolate(isx + k, ssize.width, borderType) * cn;
ar_y[k] = borderInterpolate(isy + k, ssize.height, borderType);
}
for (int r = 0; r < cn; r++)
{
xyD[r] = 0;
for (int i = 0; i < ksize; ++i)
{
ix[i] = 0;
if (ar_y[i] >= 0)
{
const float* yS = _src.ptr<float>(ar_y[i]);
for (int j = 0; j < ksize; ++j)
ix[i] += saturate_cast<float>((ar_x[j] >= 0 ? yS[ar_x[j] + r] : borderValue[r]) * w[j]);
}
else
for (int j = 0; j < ksize; ++j)
ix[i] += saturate_cast<float>(borderValue[r] * w[j]);
}
for (int i = 0; i < ksize; ++i)
xyD[r] += saturate_cast<float>(w[ksize + i] * ix[i]);
}
}
}
}
}
void CV_Remap_Test::validate_results() const
{
CV_ImageWarpBaseTest::validate_results();
if (cvtest::TS::ptr()->get_err_code() == cvtest::TS::FAIL_BAD_ACCURACY)
{
PRINT_TO_LOG("BorderType: %s\n", borderType_to_string());
PRINT_TO_LOG("BorderValue: (%f, %f, %f, %f)\n",
borderValue[0], borderValue[1], borderValue[2], borderValue[3]);
}
}
////////////////////////////////////////////////////////////////////////////////////////////////////////
// warpAffine
////////////////////////////////////////////////////////////////////////////////////////////////////////
class CV_WarpAffine_Test :
public CV_Remap_Test
{
public:
CV_WarpAffine_Test();
virtual ~CV_WarpAffine_Test();
protected:
virtual void generate_test_data();
virtual void prepare_test_data_for_reference_func();
virtual void run_func();
virtual void run_reference_func();
Mat M;
private:
void warpAffine(const Mat&, Mat&);
};
CV_WarpAffine_Test::CV_WarpAffine_Test() :
CV_Remap_Test()
{
}
CV_WarpAffine_Test::~CV_WarpAffine_Test()
{
}
void CV_WarpAffine_Test::generate_test_data()
{
CV_Remap_Test::generate_test_data();
RNG& rng = ts->get_rng();
// generating the M 2x3 matrix
static const int depths[] = { CV_32FC1, CV_64FC1 };
// generating 2d matrix
M = getRotationMatrix2D(Point2f(src.cols / 2.f, src.rows / 2.f),
rng.uniform(-180.f, 180.f), rng.uniform(0.4f, 2.0f));
int depth = depths[rng.uniform(0, sizeof(depths) / sizeof(depths[0]))];
if (M.depth() != depth)
{
Mat tmp;
M.convertTo(tmp, depth);
M = tmp;
}
// warp_matrix is inverse
if (rng.uniform(0., 1.) > 0)
interpolation |= CV_WARP_INVERSE_MAP;
}
void CV_WarpAffine_Test::run_func()
{
cv::warpAffine(src, dst, M, dst.size(), interpolation, borderType, borderValue);
}
void CV_WarpAffine_Test::prepare_test_data_for_reference_func()
{
CV_ImageWarpBaseTest::prepare_test_data_for_reference_func();
}
void CV_WarpAffine_Test::run_reference_func()
{
prepare_test_data_for_reference_func();
warpAffine(src, reference_dst);
}
void CV_WarpAffine_Test::warpAffine(const Mat& _src, Mat& _dst)
{
Size dsize = _dst.size();
CV_Assert(_src.size().area() > 0);
CV_Assert(dsize.area() > 0);
CV_Assert(_src.type() == _dst.type());
Mat tM;
M.convertTo(tM, CV_64F);
int inter = interpolation & INTER_MAX;
if (inter == INTER_AREA)
inter = INTER_LINEAR;
mapx.create(dsize, CV_16SC2);
if (inter != INTER_NEAREST)
mapy.create(dsize, CV_16SC1);
else
mapy = Mat();
if (!(interpolation & CV_WARP_INVERSE_MAP))
invertAffineTransform(tM.clone(), tM);
const int AB_BITS = MAX(10, (int)INTER_BITS);
const int AB_SCALE = 1 << AB_BITS;
int round_delta = (inter == INTER_NEAREST) ? AB_SCALE / 2 : (AB_SCALE / INTER_TAB_SIZE / 2);
const double* data_tM = tM.ptr<double>(0);
for (int dy = 0; dy < dsize.height; ++dy)
{
short* yM = mapx.ptr<short>(dy);
for (int dx = 0; dx < dsize.width; ++dx, yM += 2)
{
int v1 = saturate_cast<int>(saturate_cast<int>(data_tM[0] * dx * AB_SCALE) +
saturate_cast<int>((data_tM[1] * dy + data_tM[2]) * AB_SCALE) + round_delta),
v2 = saturate_cast<int>(saturate_cast<int>(data_tM[3] * dx * AB_SCALE) +
saturate_cast<int>((data_tM[4] * dy + data_tM[5]) * AB_SCALE) + round_delta);
v1 >>= AB_BITS - INTER_BITS;
v2 >>= AB_BITS - INTER_BITS;
yM[0] = saturate_cast<short>(v1 >> INTER_BITS);
yM[1] = saturate_cast<short>(v2 >> INTER_BITS);
if (inter != INTER_NEAREST)
mapy.ptr<short>(dy)[dx] = ((v2 & (INTER_TAB_SIZE - 1)) * INTER_TAB_SIZE + (v1 & (INTER_TAB_SIZE - 1)));
}
}
CV_Assert(mapx.type() == CV_16SC2 && ((inter == INTER_NEAREST && !mapy.data) || mapy.type() == CV_16SC1));
cv::remap(_src, _dst, mapx, mapy, inter, borderType, borderValue);
}
////////////////////////////////////////////////////////////////////////////////////////////////////////
// warpPerspective
////////////////////////////////////////////////////////////////////////////////////////////////////////
class CV_WarpPerspective_Test :
public CV_WarpAffine_Test
{
public:
CV_WarpPerspective_Test();
virtual ~CV_WarpPerspective_Test();
protected:
virtual void generate_test_data();
virtual void run_func();
virtual void run_reference_func();
private:
void warpPerspective(const Mat&, Mat&);
};
CV_WarpPerspective_Test::CV_WarpPerspective_Test() :
CV_WarpAffine_Test()
{
}
CV_WarpPerspective_Test::~CV_WarpPerspective_Test()
{
}
void CV_WarpPerspective_Test::generate_test_data()
{
CV_Remap_Test::generate_test_data();
// generating the M 3x3 matrix
RNG& rng = ts->get_rng();
float cols = static_cast<float>(src.cols), rows = static_cast<float>(src.rows);
Point2f sp[] = { Point2f(0.0f, 0.0f), Point2f(cols, 0.0f), Point2f(0.0f, rows), Point2f(cols, rows) };
Point2f dp[] = { Point2f(rng.uniform(0.0f, cols), rng.uniform(0.0f, rows)),
Point2f(rng.uniform(0.0f, cols), rng.uniform(0.0f, rows)),
Point2f(rng.uniform(0.0f, cols), rng.uniform(0.0f, rows)),
Point2f(rng.uniform(0.0f, cols), rng.uniform(0.0f, rows)) };
M = getPerspectiveTransform(sp, dp);
static const int depths[] = { CV_32F, CV_64F };
int depth = depths[rng.uniform(0, 2)];
M.clone().convertTo(M, depth);
}
void CV_WarpPerspective_Test::run_func()
{
cv::warpPerspective(src, dst, M, dst.size(), interpolation, borderType, borderValue);
}
void CV_WarpPerspective_Test::run_reference_func()
{
prepare_test_data_for_reference_func();
warpPerspective(src, reference_dst);
}
void CV_WarpPerspective_Test::warpPerspective(const Mat& _src, Mat& _dst)
{
Size ssize = _src.size(), dsize = _dst.size();
CV_Assert(ssize.area() > 0);
CV_Assert(dsize.area() > 0);
CV_Assert(_src.type() == _dst.type());
if (M.depth() != CV_64F)
{
Mat tmp;
M.convertTo(tmp, CV_64F);
M = tmp;
}
if (!(interpolation & CV_WARP_INVERSE_MAP))
{
Mat tmp;
invert(M, tmp);
M = tmp;
}
int inter = interpolation & INTER_MAX;
if (inter == INTER_AREA)
inter = INTER_LINEAR;
mapx.create(dsize, CV_16SC2);
if (inter != INTER_NEAREST)
mapy.create(dsize, CV_16SC1);
else
mapy = Mat();
double* tM = M.ptr<double>(0);
for (int dy = 0; dy < dsize.height; ++dy)
{
short* yMx = mapx.ptr<short>(dy);
for (int dx = 0; dx < dsize.width; ++dx, yMx += 2)
{
double den = tM[6] * dx + tM[7] * dy + tM[8];
den = den ? 1.0 / den : 0.0;
if (inter == INTER_NEAREST)
{
yMx[0] = saturate_cast<short>((tM[0] * dx + tM[1] * dy + tM[2]) * den);
yMx[1] = saturate_cast<short>((tM[3] * dx + tM[4] * dy + tM[5]) * den);
continue;
}
den *= INTER_TAB_SIZE;
int v0 = saturate_cast<int>((tM[0] * dx + tM[1] * dy + tM[2]) * den);
int v1 = saturate_cast<int>((tM[3] * dx + tM[4] * dy + tM[5]) * den);
yMx[0] = saturate_cast<short>(v0 >> INTER_BITS);
yMx[1] = saturate_cast<short>(v1 >> INTER_BITS);
mapy.ptr<short>(dy)[dx] = saturate_cast<short>((v1 & (INTER_TAB_SIZE - 1)) *
INTER_TAB_SIZE + (v0 & (INTER_TAB_SIZE - 1)));
}
}
CV_Assert(mapx.type() == CV_16SC2 && ((inter == INTER_NEAREST && !mapy.data) || mapy.type() == CV_16SC1));
cv::remap(_src, _dst, mapx, mapy, inter, borderType, borderValue);
}
////////////////////////////////////////////////////////////////////////////////////////////////////////
// Tests
////////////////////////////////////////////////////////////////////////////////////////////////////////
TEST(Imgproc_Resize_Test, accuracy) { CV_Resize_Test test; test.safe_run(); }
TEST(Imgproc_Remap_Test, accuracy) { CV_Remap_Test test; test.safe_run(); }
TEST(Imgproc_WarpAffine_Test, accuracy) { CV_WarpAffine_Test test; test.safe_run(); }
TEST(Imgproc_WarpPerspective_Test, accuracy) { CV_WarpPerspective_Test test; test.safe_run(); }
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