Update app.py

app.py

@@ -410,12 +410,13 @@ def optimize(v, d):
         quantiz = np.int0(np.linspace(0,255,l)) # we get quantization colors
         color_levels = np.clip(np.int0(indices/divider),0,l-1) # color levels 0,1,2..
         palette = quantiz[color_levels]
-        
+
+        dcolor = []
         for k, f in enumerate(frames):
             frame = cv2.imread(frames[k]).astype(np.uint8)
             frame = cv2.convertScaleAbs(palette[frame]).astype(np.uint8) # Converting image back to uint
             cv2.imwrite(frames[k], frame)
-            dcolor[k] = bincount(frame)
+            dcolor.append(bincount(frame))
             print(dcolor[k])
             depth = cv2.imread(depths[k]).astype(np.uint8)
             mask = cv2.inRange(frame, np.array([dcolor[k][0]-8, dcolor[k][1]-8, dcolor[k][2]-8]), np.array([dcolor[k][0]+8, dcolor[k][1]+8, dcolor[k][2]+8]))