dilate opencv python

, 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 determined. Temporarily do not know how to achieve, have to know can exchange, hehe ~PYTHON+

(W): + forJinchRange (h): - ifBINARY[I,J] = =0: thetemp ="0" * elifBINARY[I,J] = = 255: $temp ="1"Panax Notoginseng f.write (temp) -F.write ("\ r \ n") the f.close () + #print (Temp.shape) A defMain (): theimg = Cv.imread ("1.JPG") + #Cv.namedwindow ("Show", CV. Window_autosize) -Cv.imshow ("Show", IMG) $t = Jinzita (3, IMG) $binary=local_threshold (t) - result (binary) - cv.waitkey (0) the cv.destroyallwindows () - WuyiMain ()18,

Special Collection AnalysisThe dataset is Letter-recognition.data, with a total of 20,000 data, separated by commas, the data instance is shown below, the first column is the letter mark, and the remainder is a different feature. t,2,8,3,5,1,8,13,0,6,6,10,8,0,8,0,8Learning methods1. Read in the data and remove the separator number2, the first column of data as a marker, the rest of the training data3. Initialize the classifier and train with training data4, the use of test data to verify the acc

(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

],k=2) X_matches=[1]*10X_matches[0]= Bf.knnmatch (des,x_des[0],k=2) x_matches[1]= Bf.knnmatch (des,x_des[1],k=2) x_matches[2]= Bf.knnmatch (des,x_des[2],k=2) x_matches[3]= Bf.knnmatch (des,x_des[3],k=2) x_matches[4]= Bf.knnmatch (des,x_des[4],k=2) T_matches=[1]*10T_matches[0]= Bf.knnmatch (des,t_des[0],k=2) t_matches[1]= Bf.knnmatch (des,t_des[1],k=2) t_matches[2]= Bf.knnmatch (des,t_des[2],k=2) t_matches[3]= Bf.knnmatch (des,t_des[3],k=2) t_matches[4]= Bf.knnmatch (des,t_des[4],k=2) Y_matches=[

Installation dependencies 1 Download and install opencv-2.4.9, and copy Cv2.pyd to site-package under the Python installation directory 2 pip install numpy 3) pip install AIRCV prepare a picture and a screenshot Original Artwork screenshot Code Import cv2 import AIRCV as AC # print Circle_center_pos def draw_circle (IMG, POS, Circle_radius, Color, line_ width): cv2.circle (IMG, POS, Circle_radius