third_party/opencv
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Extensive wrapping of CUDA functionalities for Python

Browse Source
This commit is contained in:
Hamdi Sahloul
2018-08-25 05:57:24 +09:00
parent d4ac4fcde1
commit 532eace7d6
16 changed files with 804 additions and 611 deletions
Download Patch File Download Diff File Expand all files Collapse all files
modules/imgproc/include/opencv2/imgproc.hpp
+21 -21
View File
@@ -829,55 +829,55 @@ enum MarkerTypes
};
//! finds arbitrary template in the grayscale image using Generalized Hough Transform
class CV_EXPORTS GeneralizedHough : public Algorithm
class CV_EXPORTS_W GeneralizedHough : public Algorithm
{
public:
//! set template to search
virtual void setTemplate(InputArray templ, Point templCenter = Point(-1, -1)) = 0;
virtual void setTemplate(InputArray edges, InputArray dx, InputArray dy, Point templCenter = Point(-1, -1)) = 0;
CV_WRAP virtual void setTemplate(InputArray templ, Point templCenter = Point(-1, -1)) = 0;
CV_WRAP virtual void setTemplate(InputArray edges, InputArray dx, InputArray dy, Point templCenter = Point(-1, -1)) = 0;
//! find template on image
virtual void detect(InputArray image, OutputArray positions, OutputArray votes = noArray()) = 0;
virtual void detect(InputArray edges, InputArray dx, InputArray dy, OutputArray positions, OutputArray votes = noArray()) = 0;
CV_WRAP virtual void detect(InputArray image, OutputArray positions, OutputArray votes = noArray()) = 0;
CV_WRAP virtual void detect(InputArray edges, InputArray dx, InputArray dy, OutputArray positions, OutputArray votes = noArray()) = 0;
//! Canny low threshold.
virtual void setCannyLowThresh(int cannyLowThresh) = 0;
virtual int getCannyLowThresh() const = 0;
CV_WRAP virtual void setCannyLowThresh(int cannyLowThresh) = 0;
CV_WRAP virtual int getCannyLowThresh() const = 0;
//! Canny high threshold.
virtual void setCannyHighThresh(int cannyHighThresh) = 0;
virtual int getCannyHighThresh() const = 0;
CV_WRAP virtual void setCannyHighThresh(int cannyHighThresh) = 0;
CV_WRAP virtual int getCannyHighThresh() const = 0;
//! Minimum distance between the centers of the detected objects.
virtual void setMinDist(double minDist) = 0;
virtual double getMinDist() const = 0;
CV_WRAP virtual void setMinDist(double minDist) = 0;
CV_WRAP virtual double getMinDist() const = 0;
//! Inverse ratio of the accumulator resolution to the image resolution.
virtual void setDp(double dp) = 0;
virtual double getDp() const = 0;
CV_WRAP virtual void setDp(double dp) = 0;
CV_WRAP virtual double getDp() const = 0;
//! Maximal size of inner buffers.
virtual void setMaxBufferSize(int maxBufferSize) = 0;
virtual int getMaxBufferSize() const = 0;
CV_WRAP virtual void setMaxBufferSize(int maxBufferSize) = 0;
CV_WRAP virtual int getMaxBufferSize() const = 0;
};
//! Ballard, D.H. (1981). Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognition 13 (2): 111-122.
//! Detects position only without translation and rotation
class CV_EXPORTS GeneralizedHoughBallard : public GeneralizedHough
class CV_EXPORTS_W GeneralizedHoughBallard : public GeneralizedHough
{
public:
//! R-Table levels.
virtual void setLevels(int levels) = 0;
virtual int getLevels() const = 0;
CV_WRAP virtual void setLevels(int levels) = 0;
CV_WRAP virtual int getLevels() const = 0;
//! The accumulator threshold for the template centers at the detection stage. The smaller it is, the more false positions may be detected.
virtual void setVotesThreshold(int votesThreshold) = 0;
virtual int getVotesThreshold() const = 0;
CV_WRAP virtual void setVotesThreshold(int votesThreshold) = 0;
CV_WRAP virtual int getVotesThreshold() const = 0;
};
//! Guil, N., González-Linares, J.M. and Zapata, E.L. (1999). Bidimensional shape detection using an invariant approach. Pattern Recognition 32 (6): 1025-1038.
//! Detects position, translation and rotation
class CV_EXPORTS GeneralizedHoughGuil : public GeneralizedHough
class CV_EXPORTS_W GeneralizedHoughGuil : public GeneralizedHough
{
public:
//! Angle difference in degrees between two points in feature.