diff --git a/samples/python2/digits.png b/samples/python2/data/digits.png
similarity index 100%
rename from samples/python2/digits.png
rename to samples/python2/data/digits.png
diff --git a/samples/python2/digits.py b/samples/python2/digits.py
index f39591e6f3..b8b9dc5793 100644
--- a/samples/python2/digits.py
+++ b/samples/python2/digits.py
@@ -29,7 +29,7 @@ from numpy.linalg import norm
 
 SZ = 20 # size of each digit is SZ x SZ
 CLASS_N = 10
-DIGITS_FN = 'digits.png'
+DIGITS_FN = 'data/digits.png'
 
 def split2d(img, cell_size, flatten=True):
     h, w = img.shape[:2]
diff --git a/samples/python2/find_obj.py b/samples/python2/find_obj.py
index 34e6da1df9..8846b511d8 100644
--- a/samples/python2/find_obj.py
+++ b/samples/python2/find_obj.py
@@ -71,7 +71,7 @@ def explore_match(win, img1, img2, kp_pairs, status = None, H = None):
         cv2.polylines(vis, [corners], True, (255, 255, 255))
 
     if status is None:
-        status = np.ones(len(p1), np.bool_)
+        status = np.ones(len(kp_pairs), np.bool_)
     p1 = np.int32([kpp[0].pt for kpp in kp_pairs])
     p2 = np.int32([kpp[1].pt for kpp in kp_pairs]) + (w1, 0)