mirror of
https://github.com/opencv/opencv.git
synced 2026-07-29 23:33:05 +04:00
Added ippiHoughProbLine to cv::HoughLinesP
This commit is contained in:
@@ -103,11 +103,12 @@ HoughLinesStandard( const Mat& img, float rho, float theta,
|
||||
IppPointPolar delta = { rho, theta };
|
||||
IppPointPolar dstRoi[2] = {{(Ipp32f) -(width + height), (Ipp32f) min_theta},{(Ipp32f) (width + height), (Ipp32f) max_theta}};
|
||||
int bufferSize;
|
||||
int ipp_linesMax = std::min(linesMax, numangle*numrho);
|
||||
int nz = countNonZero(img);
|
||||
int ipp_linesMax = std::min(linesMax, nz*numangle/threshold);
|
||||
int linesCount = 0;
|
||||
lines.resize(ipp_linesMax);
|
||||
IppStatus ok = ippiHoughLineGetSize_8u_C1R(srcSize, delta, ipp_linesMax, &bufferSize);
|
||||
Ipp8u* buffer = ippsMalloc_8u(bufferSize);
|
||||
Ipp8u* buffer = ippsMalloc_8u(bufferSize);
|
||||
if (ok >= 0) ok = ippiHoughLine_Region_8u32f_C1R(image, step, srcSize, (IppPointPolar*) &lines[0], dstRoi, ipp_linesMax, &linesCount, delta, threshold, buffer);
|
||||
ippsFree(buffer);
|
||||
if (ok >= 0)
|
||||
@@ -115,6 +116,8 @@ HoughLinesStandard( const Mat& img, float rho, float theta,
|
||||
lines.resize(linesCount);
|
||||
return;
|
||||
}
|
||||
lines.clear();
|
||||
setIppErrorStatus();
|
||||
#endif
|
||||
|
||||
AutoBuffer<int> _accum((numangle+2) * (numrho+2));
|
||||
@@ -424,6 +427,31 @@ HoughLinesProbabilistic( Mat& image,
|
||||
int numangle = cvRound(CV_PI / theta);
|
||||
int numrho = cvRound(((width + height) * 2 + 1) / rho);
|
||||
|
||||
#if (defined(HAVE_IPP) && !defined(HAVE_IPP_ICV_ONLY) && IPP_VERSION_X100 >= 801 && 0)
|
||||
IppiSize srcSize = { width, height };
|
||||
IppPointPolar delta = { rho, theta };
|
||||
IppiHoughProbSpec* pSpec;
|
||||
int bufferSize, specSize;
|
||||
int ipp_linesMax = std::min(linesMax, numangle*numrho);
|
||||
int linesCount = 0;
|
||||
lines.resize(ipp_linesMax);
|
||||
IppStatus ok = ippiHoughProbLineGetSize_8u_C1R(srcSize, delta, &specSize, &bufferSize);
|
||||
Ipp8u* buffer = ippsMalloc_8u(bufferSize);
|
||||
pSpec = (IppiHoughProbSpec*) malloc(specSize);
|
||||
if (ok >= 0) ok = ippiHoughProbLineInit_8u32f_C1R(srcSize, delta, ippAlgHintNone, pSpec);
|
||||
if (ok >= 0) ok = ippiHoughProbLine_8u32f_C1R(image.data, image.step, srcSize, threshold, lineLength, lineGap, (IppiPoint*) &lines[0], ipp_linesMax, &linesCount, buffer, pSpec);
|
||||
|
||||
free(pSpec);
|
||||
ippsFree(buffer);
|
||||
if (ok >= 0)
|
||||
{
|
||||
lines.resize(linesCount);
|
||||
return;
|
||||
}
|
||||
lines.clear();
|
||||
setIppErrorStatus();
|
||||
#endif
|
||||
|
||||
Mat accum = Mat::zeros( numangle, numrho, CV_32SC1 );
|
||||
Mat mask( height, width, CV_8UC1 );
|
||||
std::vector<float> trigtab(numangle*2);
|
||||
|
||||
Reference in New Issue
Block a user