Fix typos in py_houghlines tutorial. Extract the python code in a specific folder.

samples/python/tutorial_code/imgProc/hough_line_transform/hough_line_transform.py

@@ -0,0 +1,22 @@
+import cv2
+import numpy as np
+
+img = cv2.imread('../data/sudoku.png')
+gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
+edges = cv2.Canny(gray,50,150,apertureSize = 3)
+
+lines = cv2.HoughLines(edges,1,np.pi/180,200)
+for line in lines:
+    rho,theta = line[0]
+    a = np.cos(theta)
+    b = np.sin(theta)
+    x0 = a*rho
+    y0 = b*rho
+    x1 = int(x0 + 1000*(-b))
+    y1 = int(y0 + 1000*(a))
+    x2 = int(x0 - 1000*(-b))
+    y2 = int(y0 - 1000*(a))
+
+    cv2.line(img,(x1,y1),(x2,y2),(0,0,255),2)
+
+cv2.imwrite('houghlines3.jpg',img)

samples/python/tutorial_code/imgProc/hough_line_transform/probabilistic_hough_line_transform.py

@@ -0,0 +1,12 @@
+import cv2
+import numpy as np
+
+img = cv2.imread('../data/sudoku.png')
+gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
+edges = cv2.Canny(gray,50,150,apertureSize = 3)
+lines = cv2.HoughLinesP(edges,1,np.pi/180,100,minLineLength=100,maxLineGap=10)
+for line in lines:
+    x1,y1,x2,y2 = line[0]
+    cv2.line(img,(x1,y1),(x2,y2),(0,255,0),2)
+
+cv2.imwrite('houghlines5.jpg',img)