Merge pull request #12246 from sturkmen72:move_enums

* Update core.hpp

* Update imgproc.hpp

* Update ImgprocTest.java

* Update CameraCalibrator.java

* Update OnCameraFrameRender.java

* Update FindContoursDemo.java

* Update IntroductionToSVMDemo.java

* Update NonLinearSVMsDemo.java

* Update IntroductionToPCADemo.java

* Update Smoothing.java

* Update MainActivity.java

* Update CalcBackProjectDemo1.java

* Update CornerSubPixDemo.java

* Update CornerDetectorDemo.java

* Update GoodFeaturesToTrackDemo.java
This commit is contained in:
Suleyman TURKMEN
2018-08-24 11:11:34 +03:00
committed by Alexander Alekhin
parent 6356403964
commit d8cd1d8fcc
15 changed files with 71 additions and 64 deletions
@@ -23,16 +23,16 @@ class IntroductionToPCA {
// Here we lengthen the arrow by a factor of scale
q.x = (int) (p.x - scale * hypotenuse * Math.cos(angle));
q.y = (int) (p.y - scale * hypotenuse * Math.sin(angle));
Imgproc.line(img, p, q, colour, 1, Core.LINE_AA, 0);
Imgproc.line(img, p, q, colour, 1, Imgproc.LINE_AA, 0);
// create the arrow hooks
p.x = (int) (q.x + 9 * Math.cos(angle + Math.PI / 4));
p.y = (int) (q.y + 9 * Math.sin(angle + Math.PI / 4));
Imgproc.line(img, p, q, colour, 1, Core.LINE_AA, 0);
Imgproc.line(img, p, q, colour, 1, Imgproc.LINE_AA, 0);
p.x = (int) (q.x + 9 * Math.cos(angle - Math.PI / 4));
p.y = (int) (q.y + 9 * Math.sin(angle - Math.PI / 4));
Imgproc.line(img, p, q, colour, 1, Core.LINE_AA, 0);
Imgproc.line(img, p, q, colour, 1, Imgproc.LINE_AA, 0);
//! [visualization1]
}
@@ -71,7 +71,7 @@ public class IntroductionToSVMDemo {
// Show the training data
//! [show_data]
int thickness = -1;
int lineType = Core.LINE_8;
int lineType = Imgproc.LINE_8;
Imgproc.circle(image, new Point(501, 10), 5, new Scalar(0, 0, 0), thickness, lineType, 0);
Imgproc.circle(image, new Point(255, 10), 5, new Scalar(255, 255, 255), thickness, lineType, 0);
Imgproc.circle(image, new Point(501, 255), 5, new Scalar(255, 255, 255), thickness, lineType, 0);
@@ -148,7 +148,7 @@ public class NonLinearSVMsDemo {
// ----------------------- 5. Show the training data--------------------------------------------
//! [show_data]
int thick = -1;
int lineType = Core.LINE_8;
int lineType = Imgproc.LINE_8;
float px, py;
// Class 1
float[] trainDataData = new float[(int) (trainData.total() * trainData.channels())];