//////////////////////////////////////////////////matchTemplate//////////////////////////////////////////////////////////
namespace cv
{
- static bool matchTemplate_CCORR(const UMat &image, const UMat &templ, UMat &result);
- static bool matchTemplate_CCORR_NORMED(const UMat &image, const UMat &templ, UMat &result);
+ static bool matchTemplate_CCORR(InputArray _image, InputArray _templ, OutputArray _result);
+ static bool matchTemplate_CCORR_NORMED(InputArray _image, InputArray _templ, OutputArray _result);
- static bool matchTemplate_SQDIFF(const UMat &image, const UMat &templ, UMat &result);
- static bool matchTemplate_SQDIFF_NORMED (const UMat &image, const UMat &templ, UMat &result);
+ static bool matchTemplate_SQDIFF(InputArray _image, InputArray _templ, OutputArray _result);
+ static bool matchTemplate_SQDIFF_NORMED (InputArray _image, InputArray _templ, OutputArray _result);
- static bool matchTemplate_CCOEFF(const UMat &image, const UMat &templ, UMat &result);
- static bool matchTemplate_CCOEFF_NORMED(const UMat &image, const UMat &templ, UMat &result);
+ static bool matchTemplate_CCOEFF(InputArray _image, InputArray _templ, OutputArray _result);
+ static bool matchTemplate_CCOEFF_NORMED(InputArray _image, InputArray _templ, OutputArray _result);
- static bool matchTemplateNaive_CCORR (const UMat &image, const UMat &templ, UMat &result, int cn);
- static bool matchTemplateNaive_SQDIFF(const UMat &image, const UMat &templ, UMat &result, int cn);
+ static bool matchTemplateNaive_CCORR (InputArray _image, InputArray _templ, OutputArray _result, int cn);
+ static bool matchTemplateNaive_SQDIFF(InputArray _image, InputArray _templ, OutputArray _result, int cn);
static bool useNaive(int method, int depth, Size size)
{
///////////////////////////////////////////////////CCORR//////////////////////////////////////////////////////////////
- static bool matchTemplate_CCORR(const UMat &image, const UMat &templ, UMat &result)
+ static bool matchTemplate_CCORR(InputArray _image, InputArray _templ, OutputArray _result)
{
- if (useNaive(TM_CCORR, image.depth(), templ.size()) )
- return matchTemplateNaive_CCORR(image, templ, result, image.channels());
+ if (useNaive(TM_CCORR, _image.depth(), _templ.size()) )
+ return matchTemplateNaive_CCORR(_image, _templ, _result, _image.channels());
else
return false;
}
- static bool matchTemplateNaive_CCORR (const UMat &image, const UMat &templ, UMat &result, int cn)
+ static bool matchTemplateNaive_CCORR (InputArray _image, InputArray _templ, OutputArray _result, int cn)
{
- int type = image.type();
+ int type = _image.type();
int depth = CV_MAT_DEPTH(type);
- CV_Assert(result.channels() == 1);
-
const char * kernelName = "matchTemplate_Naive_CCORR";
ocl::Kernel k (kernelName, ocl::imgproc::match_template_oclsrc, format("-D type=%s -D elem_type=%s -D cn=%d",ocl::typeToStr(type), ocl::typeToStr(depth), cn));
if (k.empty())
return false;
+ UMat image = _image.getUMat();
+ UMat templ = _templ.getUMat(), result;
+ _result.create(image.rows - templ.rows + 1, image.cols - templ.cols + 1, CV_32F);
+ result = _result.getUMat();
+
size_t globalsize[2] = {result.cols, result.rows};
size_t localsize[2] = {16, 16};
- return k.args(ocl::KernelArg::ReadOnlyNoSize(image), ocl::KernelArg::ReadOnly(templ), ocl::KernelArg::WriteOnly(result)).run(2,globalsize,localsize,true);
+ return k.args(ocl::KernelArg::ReadOnlyNoSize(image), ocl::KernelArg::ReadOnly(templ), ocl::KernelArg::WriteOnly(result)).run(2,globalsize,localsize,false);
}
- static bool matchTemplate_CCORR_NORMED(const UMat &image, const UMat &templ, UMat &result)
+ static bool matchTemplate_CCORR_NORMED(InputArray _image, InputArray _templ, OutputArray _result)
{
- if (!matchTemplate_CCORR(image, templ, result))
- return false;
+ matchTemplate(_image, _templ, _result, CV_TM_CCORR);
- int type = image.type();
+ int type = _image.type();
int depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
const char * kernelName = "matchTemplate_CCORR_NORMED";
if (k.empty())
return false;
+ UMat image = _image.getUMat();
+ UMat templ = _templ.getUMat(), result;
+ _result.create(image.rows - templ.rows + 1, image.cols - templ.cols + 1, CV_32F);
+ result = _result.getUMat();
+
UMat temp, image_sums, image_sqsums;
integral(image.reshape(1), image_sums, temp);
size_t globalsize[2] = {result.cols, result.rows};
size_t localsize[2] = {16, 16};
- return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sqsums), ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, templ_sqsum).run(2,globalsize,localsize,true);
+ return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sqsums), ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, templ_sqsum).run(2,globalsize,localsize,false);
}
//////////////////////////////////////SQDIFF//////////////////////////////////////////////////////////////
- static bool matchTemplate_SQDIFF(const UMat &image, const UMat &templ, UMat &result)
+ static bool matchTemplate_SQDIFF(InputArray _image, InputArray _templ, OutputArray _result)
{
- if (useNaive(TM_SQDIFF, image.depth(), templ.size()))
+ if (useNaive(TM_SQDIFF, _image.depth(), _templ.size()))
{
- return matchTemplateNaive_SQDIFF(image, templ, result, image.channels());;
+ return matchTemplateNaive_SQDIFF(_image, _templ, _result, _image.channels());;
}
else
return false;
}
- static bool matchTemplateNaive_SQDIFF(const UMat &image, const UMat &templ, UMat &result, int cn)
+ static bool matchTemplateNaive_SQDIFF(InputArray _image, InputArray _templ, OutputArray _result, int cn)
{
- int type = image.type();
+ int type = _image.type();
int depth = CV_MAT_DEPTH(type);
- CV_Assert(result.channels() == 1);
-
const char * kernelName = "matchTemplate_Naive_SQDIFF";
ocl::Kernel k (kernelName, ocl::imgproc::match_template_oclsrc, format("-D type=%s -D elem_type=%s -D cn=%d",ocl::typeToStr(type), ocl::typeToStr(depth), cn));
if (k.empty())
return false;
+ UMat image = _image.getUMat();
+ UMat templ = _templ.getUMat(), result;
+ _result.create(image.rows - templ.rows + 1, image.cols - templ.cols + 1, CV_32F);
+ result = _result.getUMat();
+
size_t globalsize[2] = {result.cols, result.rows};
size_t localsize[2] = {16, 16};
- return k.args(ocl::KernelArg::ReadOnlyNoSize(image), ocl::KernelArg::ReadOnly(templ), ocl::KernelArg::WriteOnly(result)).run(2,globalsize,localsize,true);
+ return k.args(ocl::KernelArg::ReadOnlyNoSize(image), ocl::KernelArg::ReadOnly(templ), ocl::KernelArg::WriteOnly(result)).run(2,globalsize,localsize,false);
}
- static bool matchTemplate_SQDIFF_NORMED (const UMat &image, const UMat &templ, UMat &result)
+ static bool matchTemplate_SQDIFF_NORMED (InputArray _image, InputArray _templ, OutputArray _result)
{
- if (!matchTemplate_CCORR(image, templ, result))
- return false;
+ matchTemplate(_image, _templ, _result, CV_TM_CCORR);
- int type = image.type();
+ int type = _image.type();
int depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
const char * kernelName = "matchTemplate_SQDIFF_NORMED";
if (k.empty())
return false;
+ UMat image = _image.getUMat();
+ UMat templ = _templ.getUMat(), result;
+ _result.create(image.rows - templ.rows + 1, image.cols - templ.cols + 1, CV_32F);
+ result = _result.getUMat();
+
UMat temp, image_sums, image_sqsums;
integral(image.reshape(1), image_sums, temp);
size_t globalsize[2] = {result.cols, result.rows};
size_t localsize[2] = {16, 16};
- return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sqsums), ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, templ_sqsum).run(2,globalsize,localsize,true);
+ return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sqsums), ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, templ_sqsum).run(2,globalsize,localsize,false);
}
/////////////////////////////////////CCOEFF/////////////////////////////////////////////////////////////////
- static bool matchTemplate_CCOEFF(const UMat &image, const UMat &templ, UMat &result)
+ static bool matchTemplate_CCOEFF(InputArray _image, InputArray _templ, OutputArray _result)
{
- if (!matchTemplate_CCORR(image, templ, result))
- return false;
+ matchTemplate(_image, _templ, _result, CV_TM_CCORR);
UMat image_sums;
- integral(image, image_sums);
+ integral(_image, image_sums);
int type = image_sums.type();
int depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
if (k.empty())
return false;
+ UMat templ = _templ.getUMat(), result;
+ int image_rows = _image.size().height, image_cols = _image.size().width;
+ _result.create(image_rows - templ.rows + 1, image_cols - templ.cols + 1, CV_32F);
+ result = _result.getUMat();
+
size_t globalsize[2] = {result.cols, result.rows};
size_t localsize[2] = {16, 16};
if (cn==1)
{
- float templ_sum = (float)sum(templ)[0]/ templ.size().area();
- return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, templ_sum).run(2,globalsize,localsize,true);
+ float templ_sum = (float)sum(_templ)[0]/ _templ.size().area();
+ return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, templ_sum).run(2,globalsize,localsize,false);
}
else
{
templ_sum = sum(templ)/ templ.size().area();
if (cn==2)
return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols,
- templ_sum[0],templ_sum[1]).run(2,globalsize,localsize,true);
+ templ_sum[0],templ_sum[1]).run(2,globalsize,localsize,false);
return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols,
- templ_sum[0],templ_sum[1],templ_sum[2],templ_sum[3]).run(2,globalsize,localsize,true);
+ templ_sum[0],templ_sum[1],templ_sum[2],templ_sum[3]).run(2,globalsize,localsize,false);
}
}
- static bool matchTemplate_CCOEFF_NORMED(const UMat &image, const UMat &templ, UMat &result)
+ static bool matchTemplate_CCOEFF_NORMED(InputArray _image, InputArray _templ, OutputArray _result)
{
UMat imagef, templf;
- image.convertTo(imagef, CV_32F);
- templ.convertTo(templf, CV_32F);
- if(!matchTemplate_CCORR(imagef, templf, result))
- return false;
+ _image.getUMat().convertTo(imagef, CV_32F);
+ _templ.getUMat().convertTo(templf, CV_32F);
+
+ matchTemplate(imagef, templf, _result, CV_TM_CCORR);
const char * kernelName;
UMat temp, image_sums, image_sqsums;
- integral(image,image_sums, temp);
+ integral(_image,image_sums, temp);
int type = image_sums.type();
int depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
if (k.empty())
return false;
+ UMat image = _image.getUMat();
+ UMat templ = _templ.getUMat(), result;
+ int image_rows = _image.size().height, image_cols = _image.size().width;
+ _result.create(image_rows - templ.rows + 1, image_cols - templ.cols + 1, CV_32F);
+ result = _result.getUMat();
+
if(temp.depth() == CV_64F)
temp.convertTo(image_sqsums, CV_32F);
else
return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums),ocl::KernelArg::ReadOnlyNoSize(image_sqsums),
ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, scale, templ_sum, templ_sqsum)
- .run(2,globalsize,localsize,true);
+ .run(2,globalsize,localsize,false);
}
else
{
return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadOnlyNoSize(image_sqsums),
ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, scale,
templ_sum[0],templ_sum[1], templ_sqsum_sum)
- .run(2,globalsize,localsize,true);
+ .run(2,globalsize,localsize,false);
return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadOnlyNoSize(image_sqsums),
ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, scale,
templ_sum[0],templ_sum[1],templ_sum[2],templ_sum[3], templ_sqsum_sum)
- .run(2,globalsize,localsize,true);
+ .run(2,globalsize,localsize,false);
}
}
CV_Assert( cn == _templ.channels() && cn!=3 && cn<=4);
- typedef bool (*Caller)(const UMat &, const UMat &, UMat &);
+ typedef bool (*Caller)(InputArray _img, InputArray _templ, OutputArray _result);
const Caller callers[] =
{
Caller caller = callers[method];
- UMat image = _img.getUMat();
- UMat templ = _templ.getUMat(), result;
- _result.create(image.rows - templ.rows + 1, image.cols - templ.cols + 1, CV_32F);
- result = _result.getUMat();
- return caller(image, templ, result);
+ return caller(_img, _templ, _result);
}
}