a few minor fixes in Python samples

samples/python2/find_obj.py

@@ -37,10 +37,17 @@ def draw_match(img1, img2, p1, p2, status = None, H = None):
     red = (0, 0, 255)
     for (x1, y1), (x2, y2), inlier in zip(np.int32(p1), np.int32(p2), status):
         col = [red, green][inlier]
-        if not inlier:
+        if inlier:
             cv2.line(vis, (x1, y1), (x2+w1, y2), col)
-        cv2.circle(vis, (x1, y1), 2, col, -1)
-        cv2.circle(vis, (x2+w1, y2), 2, col, -1)
+            cv2.circle(vis, (x1, y1), 2, col, -1)
+            cv2.circle(vis, (x2+w1, y2), 2, col, -1)
+        else:
+            r = 2
+            thickness = 3
+            cv2.line(vis, (x1-r, y1-r), (x1+r, y1+r), col, thickness)
+            cv2.line(vis, (x1-r, y1+r), (x1+r, y1-r), col, thickness)
+            cv2.line(vis, (x2+w1-r, y2-r), (x2+w1+r, y2+r), col, thickness)
+            cv2.line(vis, (x2+w1-r, y2+r), (x2+w1+r, y2-r), col, thickness)
     return vis
 
 if __name__ == '__main__':

samples/python2/gaussian_mix.py

@@ -1,8 +1,8 @@
 import numpy as np
+import math
 from numpy import random
 import cv2
 
-
 def make_gaussians(cluster_n, img_size):
     points = []
     ref_distrs = []
@@ -20,7 +20,7 @@ def make_gaussians(cluster_n, img_size):
 def draw_gaussain(img, mean, cov, color):
     x, y = np.int32(mean)
     w, u, vt = cv2.SVDecomp(cov)
-    ang = np.rad2deg( np.arctan2(u[1, 0], u[0, 0]) )
+    ang = np.arctan2(u[1, 0], u[0, 0])*(180/math.pi)
     s1, s2 = np.sqrt(w)*3.0
     cv2.ellipse(img, (x, y), (s1, s2), ang, 0, 360, color, 1, cv2.CV_AA)
 

samples/python2/inpaint.py

@@ -5,8 +5,8 @@ from common import Sketcher
 help_message = '''USAGE: inpaint.py [<image>]
 
 Keys:
-  SPACE - update inpaint
-  r     - restore image
+  SPACE - inpaint
+  r     - reset the inpainting mask
   ESC   - exit
 '''
 

samples/python2/opt_flow.py

@@ -1,4 +1,5 @@
 import numpy as np
+import math
 import cv2, cv
 import video
 
@@ -29,7 +30,7 @@ def draw_hsv(flow):
     ang = np.arctan2(fy, fx) + np.pi
     v = np.sqrt(fx*fx+fy*fy)
     hsv = np.zeros((h, w, 3), np.uint8)
-    hsv[...,0] = np.rad2deg(ang)/2
+    hsv[...,0] = ang*(180/math.pi/2)
     hsv[...,1] = 255
     hsv[...,2] = np.minimum(v*4, 255)
     bgr = cv2.cvtColor(hsv, cv.CV_HSV2BGR)

samples/python2/watershed.py

@@ -51,7 +51,7 @@ class App:
                 print 'auto_update if', ['off', 'on'][self.auto_update]
             if ch in [ord('r'), ord('R')]:
                 self.markers[:] = 0
-                self.markers_vis[:] = self.img
+                self.markers_vis[:] = self.img.copy()
                 self.sketch.show()