Finish 2.1.1 exercise 1

CV-App/algorithms/invis_cloak.py

@@ -10,7 +10,12 @@ class InvisCloak (Algorithm):
 
     """ init function """
     def __init__(self):
-        pass
+        # Number of buffered images
+        self.n = 5
+
+        # Picture buffer
+        self.picture_buffer = []
+
 
     """ Processes the input image"""
     def process(self, img):
@@ -64,9 +69,17 @@ class InvisCloak (Algorithm):
             Hier steht Ihr Code zu Aufgabe 2.1.1 (Rauschunterdrückung)
             - Implementierung Mittelwertbildung über N Frames
         """
+        self.picture_buffer.append(img)
 
+        if len(self.picture_buffer) < self.n:
+            # If number of buffered images < defined buffer size n, return current image
+            return img
+        elif len(self.picture_buffer) > self.n:
+            # If number of buffered images > defined buffer size n, remove oldest image
+            self.picture_buffer.pop(0)
 
-        return img
+        # Reduce noise, return result image
+        return np.mean(self.picture_buffer, axis=0).astype(np.uint8)
 
     def _212_HistogrammSpreizung(self, img):
         """