cvtest::TS::ptr()->printf(cvtest::TS::SUMMARY, buffer);
va_end(args);
}
-
+
#define PRINT_TO_LOG __wrap_printf_func
}
CV_ImageWarpBaseTest();
virtual ~CV_ImageWarpBaseTest();
-
+
virtual void run(int);
protected:
virtual void generate_test_data();
virtual void prepare_test_data_for_reference_func();
Size randSize(RNG& rng) const;
-
+
const char* interpolation_to_string(int inter_type) const;
int interpolation;
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
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 = 2, scale_y = 2;
if (interpolation == INTER_AREA)
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()));
-
+
if (interpolation == INTER_AREA && (scale_x < 1.0 || scale_y < 1.0))
interpolation = INTER_LINEAR;
}
{
Mat _dst;
dst.convertTo(_dst, reference_dst.depth());
-
+
Size dsize = dst.size(), ssize = src.size();
int cn = _dst.channels();
dsize.width *= cn;
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 &&
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);
-
+
float scale_x = static_cast<float>(ssize.width) / dsize.width,
scale_y = static_cast<float>(ssize.height) / dsize.height;
PRINT_TO_LOG("Interpolation: %s\n", interpolation_to_string(interpolation == INTER_AREA &&
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;
}
virtual void run_func();
virtual void run_reference_func();
-
+
private:
double scale_x;
double scale_y;
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);
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[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++ )
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;
void CV_Resize_Test::run_reference_func()
{
CV_ImageWarpBaseTest::prepare_test_data_for_reference_func();
-
+
if (interpolation == INTER_AREA)
resize_area();
else
void CV_Resize_Test::resize_area()
{
Size ssize = src.size(), dsize = reference_dst.size();
- CV_Assert(ssize.area() > 0 && dsize.area() > 0);
+ CV_Assert(ssize.area() > 0 && dsize.area() > 0);
int cn = src.channels();
- CV_Assert(scale_x >= 1.0 && scale_y >= 1.0);
-
+ 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);
-
+
float 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)
{
area += w;
}
}
-
+
CV_Assert(area != 0);
// norming pixel
xyD[r] /= area;
// 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();
+ 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;
-
+ const float* xyS = yS + isx * cn;
+ float* xyD = yD + dx * cn;
+
for (int r = 0; r < cn; ++r)
xyD[r] = xyS[r];
}
{
internal::interpolate_method inter_func = internal::inter_array[interpolation - (interpolation == INTER_LANCZOS4 ? 2 : 1)];
int 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);
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;
{
int length = _dim.size();
for (int dx = 0; dx < length; ++dx)
- {
+ {
double fsx = scale * (dx + 0.5f) - 0.5f;
int isx = cvFloor(fsx);
_dim[dx] = std::make_pair(isx, fsx - isx);
{
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);
+ 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);
}
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);
Scalar borderValue;
remap_func funcs[2];
-
+
private:
void remap_nearest(const Mat&, Mat&);
void remap_generic(const Mat&, 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:
}
}
break;
-
+
default:
assert(0);
break;
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 ||
+ CV_Assert(( (interpolation == INTER_NEAREST && !mapy.data) || mapy.type() == CV_16UC1 ||
mapy.type() == CV_16SC1) && mapx.type() == CV_16SC2);
}
if (interpolation == INTER_AREA)
interpolation = INTER_LINEAR;
-
+
int index = interpolation == INTER_NEAREST ? 0 : 1;
(this->*funcs[index])(src, reference_dst);
}
{
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;
void CV_Remap_Test::remap_generic(const Mat& _src, Mat& _dst)
{
CV_Assert(mapx.type() == CV_16SC2 && mapy.type() == CV_16UC1);
-
+
int ksize;
if (interpolation == INTER_LINEAR)
ksize = 2;
else if (interpolation == INTER_LANCZOS4)
ksize = 8;
else
- assert(0);
+ ksize = 0;
+ assert(ksize);
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),
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;
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;
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;
M.convertTo(tmp, depth);
M = tmp;
}
-
+
// warp_matrix is inverse
if (rng.uniform(0., 1.) > 0)
interpolation |= CV_WARP_INVERSE_MAP;
Mat tM;
M.convertTo(tM, CV_64F);
-
+
int inter = interpolation & INTER_MAX;
if (inter == INTER_AREA)
inter = INTER_LINEAR;
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;
+ 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) +
+ {
+ 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_Assert(mapx.type() == CV_16SC2 && ((inter == INTER_NEAREST && !mapy.data) || mapy.type() == CV_16SC1));
cv::remap(_src, _dst, mapx, mapy, inter, borderType, borderValue);
}
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 (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);
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)) *
+ 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_Assert(mapx.type() == CV_16SC2 && ((inter == INTER_NEAREST && !mapy.data) || mapy.type() == CV_16SC1));
cv::remap(_src, _dst, mapx, mapy, inter, borderType, borderValue);
}
projects / profile / ivi / opencv.git / commitdiff