From: Alexander Mordvintsev <no@email>
Date: Thu, 9 Jun 2011 08:21:37 +0000 (+0000)
Subject: video synth uses cv2.randn for noise -- much faster than np.random.normal
X-Git-Tag: submit/tizen/20180620.034203~3^2~7061
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=07a4e52093123c9c3f5f174ccc26ac189ad8052e;p=platform%2Fupstream%2Fopencv.git

video synth uses cv2.randn for noise -- much faster than np.random.normal
---

diff --git a/samples/python2/video.py b/samples/python2/video.py
index 5cbcb91c52..762f01a849 100644
--- a/samples/python2/video.py
+++ b/samples/python2/video.py
@@ -20,11 +20,13 @@ class VideoSynth(object):
     def read(self, dst=None):
         w, h = self.frame_size
 
-        buf = np.zeros((h, w, 3), np.uint8)
-        if self.bg is not None:
-            buf[:] = self.bg
+        if self.bg is None:
+            buf = np.zeros((h, w, 3), np.uint8)
+        else:
+            buf = self.bg.copy()
         if self.noise > 0.0:
-            noise = np.random.normal(scale = 255*self.noise, size=(h, w, 3))
+            noise = np.zeros((h, w, 3), np.int8)
+            cv2.randn(noise, np.zeros(3), np.ones(3)*255*self.noise)
             buf = cv2.add(buf, noise, dtype=cv2.CV_8UC3)
         return True, buf