opencv rectangle detection

The first time you use Cvrectangle to draw a rectangle, you encounter a problem:Error: There is no appropriate conversion function from "Cv::mat" to "cvarr*" , we have checked the data, and summarized the following.Comparison of Cvrentangle and Cv::rectangle function prototypes:C: void cvrectangle( cvarr*img, Cvpointpt1, Cvpoint pt2, CvscalarColor, intthickness=1, intLine_type=8, intShift=0)

, I actually read the online code, such as http://blog.csdn.net/szfhy/article/details/51087301The picture after my frame is like thisThe heart is broken, the baby just want a rectangular box ~Originally I want to draw a rectangle box, there is a rectangle box with the mouse drag size changes, and only a rectangular box, the mouse lifted, the rectangle is determin

,1,8,0);Cvrectangle (srcmat3,cirpoint1,cirpoint2,circolor,1,8,0);Cvellipse (srcmat4,cirpoint1,axes,angle,start_angle,end_angle,circolor,1,8,0);Cvnamedwindow ("Exam301", cv_window_autosize);Cvshowimage ("Exam301", (iplimage*) SRCMAT1);Cvnamedwindow ("Exam302", cv_window_autosize);Cvshowimage ("Exam302", (iplimage*) SRCMAT2);Cvnamedwindow ("Exam303", cv_window_autosize);Cvshowimage ("Exam303", (iplimage*) SRCMAT3);Cvnamedwindow ("Exam304", cv_window_autosize);Cvshowimage ("Exam304", (iplimage*) SR

In the cocos2dx of the collision detection of the rectangle needs to do a collision check of the rotated rectangle, because the game does not use the box2d and other physical engine, so the obb (oriented bounding box) direction bounding box algorithm, the algorithm is based on the SAT ( Separating axis theorem) separates the Axis law.　　Separation Axis law: Two co

(New_right_point) point_limit (Heig Th_point) Point_limit (left_point) car_img= Dst[int (left_point[1]): Int (heigth_point[1]), int (left_point[0]): Int (new_right_point[0]) car_imgs.append (car_img)elifLEFT_POINT[1] > Right_point[1]:#Negative AngleNew_left_point = [Left_point[0], heigth_point[1]] Pts2= Np.float32 ([New_left_point, Heigth_point, Right_point])#characters are only highly needed to changePts1 =Np.float32 ([Left_point, Heigth_point, Right_point]) M=Cv2.getaffinetransform (Pts1, pts

This article is for the graduation design written by the pupil accurate examination procedures, declined any form of reprint.This blog is the author of the first two blog " QT and OpenCV - based camera (local image) Read and output program " and " based on OpenCV and QT Human Face (human eye) detection program based on the development. The main principle is: to

Point and Rectangle collision/** * * @param x1 Point * @param y1 point * @param x2 rectangle View x * @param y2 rectangle View y * @param w Rectangle View Width * @param h Rectangle v Iew High * @return */public static boolean iscollsion (int x1, int y1, int x2, int y2, i

; ", Source_window, maxcorners, Maxtrackbar, Cornershitomasi_demo); Namedwindow (Corners_window, cv_window_autosize); Namedwindow (Source_window, cv_window_autosize); Imshow (Source_window, SRC); Cornerharris_demo ( 0 , 0 ); Cornershitomasi_demo ( 0 , 0 ); It is also necessary to say that the OpenCV 2.4.2 in the corner detection of the sample code to trace some of the problem is that the surf shou

Cc.exports.LineCollideRect (Startline,endline,rect)--detection of collisions between vectors and rectangles--Get the four vertex positions of a rectangleLocal p = {CC.P (RECT.X,RECT.Y), CC.P (Rect.x + rect.width,rect.y), CC.P (Rect.x+rect.width,rect.y + rect.height), CC.P ( Rect.x,rect.y+rect.height)}Local bRight = Pointposinvector (startline,endline,p[1])--the first point of the record rectangle is on the

Collision Detection Algorithm: point-and-rectangle collision, point-and-circle collision, rectangular collision, and circular collision Point and rectangle collision [Java] /** * * @ Param x1 * @ Param y1 * @ Param x2 rectangular view x * @ Param y2 rectangular view y * @ Param w rectangular view width * @ Param h rectangular view height * @ Return

The second chapter describes how to implement the calibration-based Augmented reality on the iOS platform, including the following four aspects: 1. Build opencv project on iOS platform 2. Marker Detection and Recognition 3. Camera Calibration and marker pose estimation 4. rendering a 3D virtual object based on marker The first part is the development of the iOS platform. I am not too concerned about it. The