From c3b83b8354fb3a34d9dc3731ecd984d5106b5f2f Mon Sep 17 00:00:00 2001 From: Markus Heck Date: Thu, 8 Sep 2022 03:04:19 +0200 Subject: [PATCH 1/4] Tutorial for Generalized Hough Ballard and Guil Transform --- .../generalized_hough_ballard_guil.markdown | 177 ++++++++++++++++++ .../images/generalized_hough_image.jpg | Bin 0 -> 80497 bytes ...eralized_hough_less_perfect_result_img.jpg | Bin 0 -> 36256 bytes .../images/generalized_hough_mini_image.jpg | Bin 0 -> 39664 bytes .../generalized_hough_mini_template.jpg | Bin 0 -> 31486 bytes .../images/generalized_hough_result_img.jpg | Bin 0 -> 21864 bytes .../images/generalized_hough_template.jpg | Bin 0 -> 42838 bytes .../table_of_content_objdetect.markdown | 10 + doc/tutorials/objdetect/traincascade.markdown | 2 + .../generalizedHoughTransform.cpp | 100 ++++++++++ 10 files changed, 289 insertions(+) create mode 100644 doc/tutorials/objdetect/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown create mode 100644 doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_image.jpg create mode 100644 doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_less_perfect_result_img.jpg create mode 100644 doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_mini_image.jpg create mode 100644 doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_mini_template.jpg create mode 100644 doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_result_img.jpg create mode 100644 doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_template.jpg create mode 100644 samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp diff --git a/doc/tutorials/objdetect/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown b/doc/tutorials/objdetect/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown new file mode 100644 index 0000000000..6507e0f4a1 --- /dev/null +++ b/doc/tutorials/objdetect/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown @@ -0,0 +1,177 @@ +Object detection with Generalized Ballard and Guil Hough Transform {#tutorial_generalized_hough_ballard_guil} +================================================================== + +@tableofcontents + +@prev_tutorial{tutorial_traincascade} + +Goal +---- + +In this tutorial you will lern how to: + +- Use @ref cv::GeneralizedHoughBallard and @ref cv::GeneralizedHoughGuil to detect an object + +Example +------- + +### What does this program do? + +1. Load the image and template + +![image](images/generalized_hough_mini_image.jpg) +![template](images/generalized_hough_mini_template.jpg) + +2. Instantiate @ref cv::GeneralizedHoughBallard with the help of `createGeneralizedHoughBallard()` +3. Instantiate @ref cv::GeneralizedHoughGuil with the help of `createGeneralizedHoughGuil()` +4. Set the required parameters for both GeneralizedHough variants +5. Detect and show found results + +Note: + +- Both variants can't be instantiated directly. Using the create methods is required. +- Guil Hough is very slow. Calculating the results for the "mini" files used in this tutorial + takes only a few seconds. With image and template in a higher resolution, as shown below, + my notebook requires about 5 minutes to calculate a result. + +![image](images/generalized_hough_image.jpg) +![template](images/generalized_hough_template.jpg) + +### Code + +The complete code for this tutorial is shown below. +@include generalizedHoughTransform.cpp + +Explanation +----------- + +### Load image, template and setup variables + +```c++ +// load source images +Mat image = imread("images/generalized_hough_mini_image.jpg"); +Mat imgTemplate = imread("images/generalized_hough_mini_template.jpg"); + +// create grayscale image and template +Mat templ = Mat(imgTemplate.rows, imgTemplate.cols, CV_8UC1); +Mat grayImage; +cvtColor(imgTemplate, templ, COLOR_RGB2GRAY); +cvtColor(image, grayImage, COLOR_RGB2GRAY); + +// create variable for location, scale and rotation of detected templates +vector positionBallard, positionGuil; + +// template width and height +int w = templ.cols; +int h = templ.rows; +``` + +The position vectors will contain the matches the detectors will find. +Every entry contains four floating point values: +position vector + +- *[0]*: x coordinate of center point +- *[1]*: y coordinate of center point +- *[2]*: scale of detected object compared to template +- *[3]*: rotation of detected object in degree in relation to template + +An example could look as follows: `[200, 100, 0.9, 120]` + +### Setup parameters + +```c++ +// create ballard and set options +Ptr ballard = createGeneralizedHoughBallard(); +ballard->setMinDist(10); +ballard->setLevels(360); +ballard->setDp(2); +ballard->setMaxBufferSize(1000); +ballard->setVotesThreshold(40); + +ballard->setCannyLowThresh(30); +ballard->setCannyHighThresh(110); +ballard->setTemplate(templ); + + +// create guil and set options +Ptr guil = createGeneralizedHoughGuil(); +guil->setMinDist(10); +guil->setLevels(360); +guil->setDp(3); +guil->setMaxBufferSize(1000); + +guil->setMinAngle(0); +guil->setMaxAngle(360); +guil->setAngleStep(1); +guil->setAngleThresh(1500); + +guil->setMinScale(0.5); +guil->setMaxScale(2.0); +guil->setScaleStep(0.05); +guil->setScaleThresh(50); + +guil->setPosThresh(10); + +guil->setCannyLowThresh(30); +guil->setCannyHighThresh(110); + +guil->setTemplate(templ); +``` + +Finding the optimal values can end up in trial and error and depends on many factors, such as the image resolution. + +### Run detection + +```c++ +// execute ballard detection + ballard->detect(grayImage, positionBallard); +// execute guil detection + guil->detect(grayImage, positionGuil); +``` + +As mentioned above, this step will take some time, especially with larger images and when using Guil. + +### Draw results and show image + +```c++ +// draw ballard +for (vector::iterator iter = positionBallard.begin(); iter != positionBallard.end(); ++iter) { +RotatedRect rRect = RotatedRect(Point2f((*iter)[0], (*iter)[1]), +Size2f(w * (*iter)[2], h * (*iter)[2]), +(*iter)[3]); +Point2f vertices[4]; +rRect.points(vertices); +for (int i = 0; i < 4; i++) +line(image, vertices[i], vertices[(i + 1) % 4], Scalar(255, 0, 0), 6); +} + +// draw guil +for (vector::iterator iter = positionGuil.begin(); iter != positionGuil.end(); ++iter) { +RotatedRect rRect = RotatedRect(Point2f((*iter)[0], (*iter)[1]), +Size2f(w * (*iter)[2], h * (*iter)[2]), +(*iter)[3]); +Point2f vertices[4]; +rRect.points(vertices); +for (int i = 0; i < 4; i++) +line(image, vertices[i], vertices[(i + 1) % 4], Scalar(0, 255, 0), 2); +} + +imshow("result_img", image); +waitKey(); +return EXIT_SUCCESS; +``` + +Result +------ + +![result image](images/generalized_hough_result_img.jpg) + +The blue rectangle shows the result of @ref cv::GeneralizedHoughBallard and the green rectangles the results of @ref +cv::GeneralizedHoughGuil. + +Getting perfect results like in this example is unlikely if the parameters are not perfectly adapted to the sample. +An example with less perfect parameters is shown below. +For the Ballard variant, only the center of the result is marked as a black dot on this image. 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wondered how your digital camera detects peoples and faces? Look here to fi - @subpage tutorial_traincascade This tutorial describes _opencv_traincascade_ application and its parameters. + +- @subpage tutorial_generalized_hough_ballard_guil + + Detect an object in a picture with the help of GeneralizedHoughBallard and GeneralizedHoughGuil. + + *Languages:* C++ + + *Compatibility:* \> OpenCV 3.4 + + *Author:* Markus Heck \ No newline at end of file diff --git a/doc/tutorials/objdetect/traincascade.markdown b/doc/tutorials/objdetect/traincascade.markdown index d78de2ec9a..7ff39b5a90 100644 --- a/doc/tutorials/objdetect/traincascade.markdown +++ b/doc/tutorials/objdetect/traincascade.markdown @@ -2,6 +2,8 @@ Cascade Classifier Training {#tutorial_traincascade} =========================== @prev_tutorial{tutorial_cascade_classifier} +@next_tutorial{tutorial_generalized_hough_ballard_guil} + Introduction ------------ diff --git a/samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp b/samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp new file mode 100644 index 0000000000..3e0e095a9e --- /dev/null +++ b/samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp @@ -0,0 +1,100 @@ +/** + @file generalizedHoughTransform.cpp + @author Markus Heck + @brief Detects an object, given by a template, in an image using GeneralizedHoughBallard and GeneralizedHoughGuil. +*/ + +#include "opencv2/highgui.hpp" +#include "opencv2/imgproc.hpp" + +using namespace cv; +using namespace std; + +int main() { +// load source images + Mat image = imread("images/generalized_hough_mini_image.jpg"); + Mat imgTemplate = imread("images/generalized_hough_mini_template.jpg"); + +// create grayscale image and template + Mat templ = Mat(imgTemplate.rows, imgTemplate.cols, CV_8UC1); + Mat grayImage; + cvtColor(imgTemplate, templ, COLOR_RGB2GRAY); + cvtColor(image, grayImage, COLOR_RGB2GRAY); + +// create variable for location, scale and rotation of detected templates + vector positionBallard, positionGuil; + +// template width and height + int w = templ.cols; + int h = templ.rows; + +// create ballard and set options + Ptr ballard = createGeneralizedHoughBallard(); + ballard->setMinDist(10); + ballard->setLevels(360); + ballard->setDp(2); + ballard->setMaxBufferSize(1000); + ballard->setVotesThreshold(40); + + ballard->setCannyLowThresh(30); + ballard->setCannyHighThresh(110); + ballard->setTemplate(templ); + + +// create guil and set options + Ptr guil = createGeneralizedHoughGuil(); + guil->setMinDist(10); + guil->setLevels(360); + guil->setDp(3); + guil->setMaxBufferSize(1000); + + guil->setMinAngle(0); + guil->setMaxAngle(360); + guil->setAngleStep(1); + guil->setAngleThresh(1500); + + guil->setMinScale(0.5); + guil->setMaxScale(2.0); + guil->setScaleStep(0.05); + guil->setScaleThresh(50); + + guil->setPosThresh(10); + + guil->setCannyLowThresh(30); + guil->setCannyHighThresh(110); + + guil->setTemplate(templ); + + +// execute ballard detection + ballard->detect(grayImage, positionBallard); +// execute guil detection + guil->detect(grayImage, positionGuil); + + +// draw ballard + for (vector::iterator iter = positionBallard.begin(); iter != positionBallard.end(); ++iter) { + RotatedRect rRect = RotatedRect(Point2f((*iter)[0], (*iter)[1]), + Size2f(w * (*iter)[2], h * (*iter)[2]), + (*iter)[3]); + Point2f vertices[4]; + rRect.points(vertices); + for (int i = 0; i < 4; i++) + line(image, vertices[i], vertices[(i + 1) % 4], Scalar(255, 0, 0), 6); + } + +// draw guil + for (vector::iterator iter = positionGuil.begin(); iter != positionGuil.end(); ++iter) { + RotatedRect rRect = RotatedRect(Point2f((*iter)[0], (*iter)[1]), + Size2f(w * (*iter)[2], h * (*iter)[2]), + (*iter)[3]); + Point2f vertices[4]; + rRect.points(vertices); + for (int i = 0; i < 4; i++) + line(image, vertices[i], vertices[(i + 1) % 4], Scalar(0, 255, 0), 2); + } + + imshow("result_img", image); + waitKey(); + return EXIT_SUCCESS; +} \ No newline at end of file From e2a9cff3dc1c595badc31cd80d152282a55afce6 Mon Sep 17 00:00:00 2001 From: Markus Heck Date: Thu, 8 Sep 2022 13:03:33 +0200 Subject: [PATCH 2/4] Include code snippets with doxygen notation and small fix in table_of_content_objdetect.markdown --- .../generalized_hough_ballard_guil.markdown | 98 ++----------------- .../table_of_content_objdetect.markdown | 8 +- .../generalizedHoughTransform.cpp | 10 ++ 3 files changed, 20 insertions(+), 96 deletions(-) diff --git a/doc/tutorials/objdetect/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown b/doc/tutorials/objdetect/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown index 6507e0f4a1..b6f1479172 100644 --- a/doc/tutorials/objdetect/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown +++ b/doc/tutorials/objdetect/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown @@ -27,8 +27,7 @@ Example 4. Set the required parameters for both GeneralizedHough variants 5. Detect and show found results -Note: - +@note - Both variants can't be instantiated directly. Using the create methods is required. - Guil Hough is very slow. Calculating the results for the "mini" files used in this tutorial takes only a few seconds. With image and template in a higher resolution, as shown below, @@ -40,31 +39,14 @@ Note: ### Code The complete code for this tutorial is shown below. -@include generalizedHoughTransform.cpp +@include samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp Explanation ----------- ### Load image, template and setup variables -```c++ -// load source images -Mat image = imread("images/generalized_hough_mini_image.jpg"); -Mat imgTemplate = imread("images/generalized_hough_mini_template.jpg"); - -// create grayscale image and template -Mat templ = Mat(imgTemplate.rows, imgTemplate.cols, CV_8UC1); -Mat grayImage; -cvtColor(imgTemplate, templ, COLOR_RGB2GRAY); -cvtColor(image, grayImage, COLOR_RGB2GRAY); - -// create variable for location, scale and rotation of detected templates -vector positionBallard, positionGuil; - -// template width and height -int w = templ.cols; -int h = templ.rows; -``` +@snippet samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp generalized-hough-transform-load-and-setup The position vectors will contain the matches the detectors will find. Every entry contains four floating point values: @@ -79,87 +61,19 @@ An example could look as follows: `[200, 100, 0.9, 120]` ### Setup parameters -```c++ -// create ballard and set options -Ptr ballard = createGeneralizedHoughBallard(); -ballard->setMinDist(10); -ballard->setLevels(360); -ballard->setDp(2); -ballard->setMaxBufferSize(1000); -ballard->setVotesThreshold(40); - -ballard->setCannyLowThresh(30); -ballard->setCannyHighThresh(110); -ballard->setTemplate(templ); - - -// create guil and set options -Ptr guil = createGeneralizedHoughGuil(); -guil->setMinDist(10); -guil->setLevels(360); -guil->setDp(3); -guil->setMaxBufferSize(1000); - -guil->setMinAngle(0); -guil->setMaxAngle(360); -guil->setAngleStep(1); -guil->setAngleThresh(1500); - -guil->setMinScale(0.5); -guil->setMaxScale(2.0); -guil->setScaleStep(0.05); -guil->setScaleThresh(50); - -guil->setPosThresh(10); - -guil->setCannyLowThresh(30); -guil->setCannyHighThresh(110); - -guil->setTemplate(templ); -``` +@snippet samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp generalized-hough-transform-setup-parameters Finding the optimal values can end up in trial and error and depends on many factors, such as the image resolution. ### Run detection -```c++ -// execute ballard detection - ballard->detect(grayImage, positionBallard); -// execute guil detection - guil->detect(grayImage, positionGuil); -``` +@snippet samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp generalized-hough-transform-run As mentioned above, this step will take some time, especially with larger images and when using Guil. ### Draw results and show image -```c++ -// draw ballard -for (vector::iterator iter = positionBallard.begin(); iter != positionBallard.end(); ++iter) { -RotatedRect rRect = RotatedRect(Point2f((*iter)[0], (*iter)[1]), -Size2f(w * (*iter)[2], h * (*iter)[2]), -(*iter)[3]); -Point2f vertices[4]; -rRect.points(vertices); -for (int i = 0; i < 4; i++) -line(image, vertices[i], vertices[(i + 1) % 4], Scalar(255, 0, 0), 6); -} - -// draw guil -for (vector::iterator iter = positionGuil.begin(); iter != positionGuil.end(); ++iter) { -RotatedRect rRect = RotatedRect(Point2f((*iter)[0], (*iter)[1]), -Size2f(w * (*iter)[2], h * (*iter)[2]), -(*iter)[3]); -Point2f vertices[4]; -rRect.points(vertices); -for (int i = 0; i < 4; i++) -line(image, vertices[i], vertices[(i + 1) % 4], Scalar(0, 255, 0), 2); -} - -imshow("result_img", image); -waitKey(); -return EXIT_SUCCESS; -``` +@snippet samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp generalized-hough-transform-draw-results Result ------ diff --git a/doc/tutorials/objdetect/table_of_content_objdetect.markdown b/doc/tutorials/objdetect/table_of_content_objdetect.markdown index 6d646a8481..9b8a09b4e8 100644 --- a/doc/tutorials/objdetect/table_of_content_objdetect.markdown +++ b/doc/tutorials/objdetect/table_of_content_objdetect.markdown @@ -19,10 +19,10 @@ Ever wondered how your digital camera detects peoples and faces? Look here to fi - @subpage tutorial_generalized_hough_ballard_guil - Detect an object in a picture with the help of GeneralizedHoughBallard and GeneralizedHoughGuil. - *Languages:* C++ - *Compatibility:* \> OpenCV 3.4 + *Compatibility:* \>= OpenCV 3.4 + + *Author:* Markus Heck - *Author:* Markus Heck \ No newline at end of file + Detect an object in a picture with the help of GeneralizedHoughBallard and GeneralizedHoughGuil. \ No newline at end of file diff --git a/samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp b/samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp index 3e0e095a9e..2630dc1f6e 100644 --- a/samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp +++ b/samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp @@ -11,6 +11,7 @@ using namespace cv; using namespace std; int main() { + //! [generalized-hough-transform-load-and-setup] // load source images Mat image = imread("images/generalized_hough_mini_image.jpg"); Mat imgTemplate = imread("images/generalized_hough_mini_template.jpg"); @@ -27,7 +28,10 @@ int main() { // template width and height int w = templ.cols; int h = templ.rows; + //! [generalized-hough-transform-load-and-setup] + + //! [generalized-hough-transform-setup-parameters] // create ballard and set options Ptr ballard = createGeneralizedHoughBallard(); ballard->setMinDist(10); @@ -64,14 +68,18 @@ int main() { guil->setCannyHighThresh(110); guil->setTemplate(templ); + //! [generalized-hough-transform-setup-parameters] + //! [generalized-hough-transform-run] // execute ballard detection ballard->detect(grayImage, positionBallard); // execute guil detection guil->detect(grayImage, positionGuil); + //! [generalized-hough-transform-run] + //! [generalized-hough-transform-draw-results] // draw ballard for (vector::iterator iter = positionBallard.begin(); iter != positionBallard.end(); ++iter) { RotatedRect rRect = RotatedRect(Point2f((*iter)[0], (*iter)[1]), @@ -96,5 +104,7 @@ int main() { imshow("result_img", image); waitKey(); + //! [generalized-hough-transform-draw-results] + return EXIT_SUCCESS; } \ No newline at end of file From 54089499516e81a6a2d261129451f79324a74a83 Mon Sep 17 00:00:00 2001 From: Markus Heck Date: Fri, 9 Sep 2022 15:27:11 +0200 Subject: [PATCH 3/4] fix typo and simplify example (grayscale template) --- .../generalized_hough_ballard_guil.markdown | 2 +- .../objectDetection/generalizedHoughTransform.cpp | 8 +++----- 2 files changed, 4 insertions(+), 6 deletions(-) diff --git a/doc/tutorials/objdetect/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown b/doc/tutorials/objdetect/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown index b6f1479172..c5dc2590af 100644 --- a/doc/tutorials/objdetect/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown +++ b/doc/tutorials/objdetect/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown @@ -8,7 +8,7 @@ Object detection with Generalized Ballard and Guil Hough Transform {#tutorial_ge Goal ---- -In this tutorial you will lern how to: +In this tutorial you will learn how to: - Use @ref cv::GeneralizedHoughBallard and @ref cv::GeneralizedHoughGuil to detect an object diff --git a/samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp b/samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp index 2630dc1f6e..dca52b1339 100644 --- a/samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp +++ b/samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp @@ -12,14 +12,12 @@ using namespace std; int main() { //! [generalized-hough-transform-load-and-setup] -// load source images +// load source image and grayscale template Mat image = imread("images/generalized_hough_mini_image.jpg"); - Mat imgTemplate = imread("images/generalized_hough_mini_template.jpg"); + Mat templ = imread("images/generalized_hough_mini_template.jpg", IMREAD_GRAYSCALE); -// create grayscale image and template - Mat templ = Mat(imgTemplate.rows, imgTemplate.cols, CV_8UC1); +// create grayscale image Mat grayImage; - cvtColor(imgTemplate, templ, COLOR_RGB2GRAY); cvtColor(image, grayImage, COLOR_RGB2GRAY); // create variable for location, scale and rotation of detected templates From 619e038de97906ace6fbc555e257ddae65cae6a5 Mon Sep 17 00:00:00 2001 From: Markus Heck Date: Sat, 10 Sep 2022 17:40:31 +0200 Subject: [PATCH 4/4] move tutorial to imgproc and example to ImgTrans --- .../generalized_hough_ballard_guil.markdown | 13 +++++++------ .../images/generalized_hough_image.jpg | Bin .../generalized_hough_less_perfect_result_img.jpg | Bin .../images/generalized_hough_mini_image.jpg | Bin .../images/generalized_hough_mini_template.jpg | Bin .../images/generalized_hough_result_img.jpg | Bin .../images/generalized_hough_template.jpg | Bin .../imgtrans/hough_circle/hough_circle.markdown | 2 +- .../imgproc/imgtrans/remap/remap.markdown | 2 +- .../imgproc/table_of_content_imgproc.markdown | 10 ++++++++++ .../objdetect/table_of_content_objdetect.markdown | 10 ---------- doc/tutorials/objdetect/traincascade.markdown | 1 - .../generalizedHoughTransform.cpp | 0 13 files changed, 19 insertions(+), 19 deletions(-) rename doc/tutorials/{objdetect => imgproc}/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown (81%) rename doc/tutorials/{objdetect => imgproc}/generalized_hough_ballard_guil/images/generalized_hough_image.jpg (100%) rename doc/tutorials/{objdetect => imgproc}/generalized_hough_ballard_guil/images/generalized_hough_less_perfect_result_img.jpg (100%) rename doc/tutorials/{objdetect => imgproc}/generalized_hough_ballard_guil/images/generalized_hough_mini_image.jpg (100%) rename doc/tutorials/{objdetect => imgproc}/generalized_hough_ballard_guil/images/generalized_hough_mini_template.jpg (100%) rename doc/tutorials/{objdetect => imgproc}/generalized_hough_ballard_guil/images/generalized_hough_result_img.jpg (100%) rename doc/tutorials/{objdetect => imgproc}/generalized_hough_ballard_guil/images/generalized_hough_template.jpg (100%) rename samples/cpp/tutorial_code/{objectDetection => ImgTrans}/generalizedHoughTransform.cpp (100%) diff --git a/doc/tutorials/objdetect/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown b/doc/tutorials/imgproc/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown similarity index 81% rename from doc/tutorials/objdetect/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown rename to doc/tutorials/imgproc/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown index c5dc2590af..edf18b3844 100644 --- a/doc/tutorials/objdetect/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown +++ b/doc/tutorials/imgproc/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown @@ -3,7 +3,8 @@ Object detection with Generalized Ballard and Guil Hough Transform {#tutorial_ge @tableofcontents -@prev_tutorial{tutorial_traincascade} +@prev_tutorial{tutorial_hough_circle} +@next_tutorial{tutorial_remap} Goal ---- @@ -39,14 +40,14 @@ Example ### Code The complete code for this tutorial is shown below. -@include samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp +@include samples/cpp/tutorial_code/ImgTrans/generalizedHoughTransform.cpp Explanation ----------- ### Load image, template and setup variables -@snippet samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp generalized-hough-transform-load-and-setup +@snippet samples/cpp/tutorial_code/ImgTrans/generalizedHoughTransform.cpp generalized-hough-transform-load-and-setup The position vectors will contain the matches the detectors will find. Every entry contains four floating point values: @@ -61,19 +62,19 @@ An example could look as follows: `[200, 100, 0.9, 120]` ### Setup parameters -@snippet samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp generalized-hough-transform-setup-parameters +@snippet samples/cpp/tutorial_code/ImgTrans/generalizedHoughTransform.cpp generalized-hough-transform-setup-parameters Finding the optimal values can end up in trial and error and depends on many factors, such as the image resolution. ### Run detection -@snippet samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp generalized-hough-transform-run +@snippet samples/cpp/tutorial_code/ImgTrans/generalizedHoughTransform.cpp generalized-hough-transform-run As mentioned above, this step will take some time, especially with larger images and when using Guil. ### Draw results and show image -@snippet samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp generalized-hough-transform-draw-results +@snippet samples/cpp/tutorial_code/ImgTrans/generalizedHoughTransform.cpp generalized-hough-transform-draw-results Result ------ diff --git a/doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_image.jpg b/doc/tutorials/imgproc/generalized_hough_ballard_guil/images/generalized_hough_image.jpg similarity index 100% rename from doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_image.jpg rename to doc/tutorials/imgproc/generalized_hough_ballard_guil/images/generalized_hough_image.jpg diff --git a/doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_less_perfect_result_img.jpg b/doc/tutorials/imgproc/generalized_hough_ballard_guil/images/generalized_hough_less_perfect_result_img.jpg similarity index 100% rename from doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_less_perfect_result_img.jpg rename to doc/tutorials/imgproc/generalized_hough_ballard_guil/images/generalized_hough_less_perfect_result_img.jpg diff --git a/doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_mini_image.jpg b/doc/tutorials/imgproc/generalized_hough_ballard_guil/images/generalized_hough_mini_image.jpg similarity index 100% rename from doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_mini_image.jpg rename to doc/tutorials/imgproc/generalized_hough_ballard_guil/images/generalized_hough_mini_image.jpg diff --git a/doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_mini_template.jpg b/doc/tutorials/imgproc/generalized_hough_ballard_guil/images/generalized_hough_mini_template.jpg similarity index 100% rename from doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_mini_template.jpg rename to doc/tutorials/imgproc/generalized_hough_ballard_guil/images/generalized_hough_mini_template.jpg diff --git a/doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_result_img.jpg b/doc/tutorials/imgproc/generalized_hough_ballard_guil/images/generalized_hough_result_img.jpg similarity index 100% rename from doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_result_img.jpg rename to doc/tutorials/imgproc/generalized_hough_ballard_guil/images/generalized_hough_result_img.jpg diff --git a/doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_template.jpg b/doc/tutorials/imgproc/generalized_hough_ballard_guil/images/generalized_hough_template.jpg similarity index 100% rename from doc/tutorials/objdetect/generalized_hough_ballard_guil/images/generalized_hough_template.jpg rename to doc/tutorials/imgproc/generalized_hough_ballard_guil/images/generalized_hough_template.jpg diff --git a/doc/tutorials/imgproc/imgtrans/hough_circle/hough_circle.markdown b/doc/tutorials/imgproc/imgtrans/hough_circle/hough_circle.markdown index 497215794b..0a2ba8843e 100644 --- a/doc/tutorials/imgproc/imgtrans/hough_circle/hough_circle.markdown +++ b/doc/tutorials/imgproc/imgtrans/hough_circle/hough_circle.markdown @@ -2,7 +2,7 @@ Hough Circle Transform {#tutorial_hough_circle} ====================== @prev_tutorial{tutorial_hough_lines} -@next_tutorial{tutorial_remap} +@next_tutorial{tutorial_generalized_hough_ballard_guil} Goal ---- diff --git a/doc/tutorials/imgproc/imgtrans/remap/remap.markdown b/doc/tutorials/imgproc/imgtrans/remap/remap.markdown index ac2b879171..eb34be4bb1 100644 --- a/doc/tutorials/imgproc/imgtrans/remap/remap.markdown +++ b/doc/tutorials/imgproc/imgtrans/remap/remap.markdown @@ -1,7 +1,7 @@ Remapping {#tutorial_remap} ========= -@prev_tutorial{tutorial_hough_circle} +@prev_tutorial{tutorial_generalized_hough_ballard_guil} @next_tutorial{tutorial_warp_affine} Goal diff --git a/doc/tutorials/imgproc/table_of_content_imgproc.markdown b/doc/tutorials/imgproc/table_of_content_imgproc.markdown index b0a8b8260b..9545cd2155 100644 --- a/doc/tutorials/imgproc/table_of_content_imgproc.markdown +++ b/doc/tutorials/imgproc/table_of_content_imgproc.markdown @@ -173,6 +173,16 @@ In this section you will learn about the image processing (manipulation) functio Where we learn how to detect circles +- @subpage tutorial_generalized_hough_ballard_guil + + *Languages:* C++ + + *Compatibility:* \>= OpenCV 3.4 + + *Author:* Markus Heck + + Detect an object in a picture with the help of GeneralizedHoughBallard and GeneralizedHoughGuil. + - @subpage tutorial_remap *Languages:* C++, Java, Python diff --git a/doc/tutorials/objdetect/table_of_content_objdetect.markdown b/doc/tutorials/objdetect/table_of_content_objdetect.markdown index 9b8a09b4e8..0b019d88a5 100644 --- a/doc/tutorials/objdetect/table_of_content_objdetect.markdown +++ b/doc/tutorials/objdetect/table_of_content_objdetect.markdown @@ -16,13 +16,3 @@ Ever wondered how your digital camera detects peoples and faces? Look here to fi - @subpage tutorial_traincascade This tutorial describes _opencv_traincascade_ application and its parameters. - -- @subpage tutorial_generalized_hough_ballard_guil - - *Languages:* C++ - - *Compatibility:* \>= OpenCV 3.4 - - *Author:* Markus Heck - - Detect an object in a picture with the help of GeneralizedHoughBallard and GeneralizedHoughGuil. \ No newline at end of file diff --git a/doc/tutorials/objdetect/traincascade.markdown b/doc/tutorials/objdetect/traincascade.markdown index 7ff39b5a90..1528c02211 100644 --- a/doc/tutorials/objdetect/traincascade.markdown +++ b/doc/tutorials/objdetect/traincascade.markdown @@ -2,7 +2,6 @@ Cascade Classifier Training {#tutorial_traincascade} =========================== @prev_tutorial{tutorial_cascade_classifier} -@next_tutorial{tutorial_generalized_hough_ballard_guil} Introduction diff --git a/samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp b/samples/cpp/tutorial_code/ImgTrans/generalizedHoughTransform.cpp similarity index 100% rename from samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp rename to samples/cpp/tutorial_code/ImgTrans/generalizedHoughTransform.cpp