working feature extraction + knearest neighbour

surf.py

@@ -0,0 +1,37 @@
+#!/usr/bin/env python
+
+import cv2, sys
+
+#Create object to read images from camera 0
+#cam = cv2.VideoCapture(0)
+
+#Initialize SURF object
+surf = cv2.SURF(85)
+
+#Set desired radius
+rad = 2
+
+#while True:
+#Get image from webcam and convert to greyscale
+#ret, img = cam.read()
+fn = sys.argv[1]
+gray = cv2.imread(fn, 0)
+#gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+
+#Detect keypoints and descriptors in greyscale image
+keypoints, descriptors = surf.detect(gray)
+
+#Draw a small red circle with the desired radius
+#at the (x, y) location for each feature found
+for kp in keypoints:
+    x = int(kp.pt[0])
+    y = int(kp.pt[1])
+    cv2.circle(img, (x, y), rad, (0, 0, 255))
+
+#Display colour image with detected features
+cv2.imshow("features", img)
+
+#Sleep infinite loop for ~10ms
+#Exit if user presses <Esc>
+#if cv2.waitKey(10) == 27:
+#    break