diff --git a/scripts/contour_centroid.py b/scripts/contour_centroid.py
index a897cd557d89b7e5107df0d28b247d09cdb84ec5..4dd7f6b5652ecb127a7621ce889d5f2191cfeaed 100644
--- a/scripts/contour_centroid.py
+++ b/scripts/contour_centroid.py
@@ -13,13 +13,20 @@ class CentroidContour():
         self.image = cv2.imread('/home/maitreyee/IMG_20171011_162319075.jpg')
 
     def contourXO(self,contours):
-#import the image from obj_recogkinect.py
+       #import the image from obj_recogkinect.py
         gray = cv2.cvtColor(self.image , cv2.COLOR_BGR2GRAY)
+       #Find out threshold to use for finding contours
         ret, thresh = cv2.threshold(gray , 127,255,cv2.THRESH_BINARY)
+       #find contours and hierarchy of contours, here we use cv2 parameter to find out all the possible contours
         im2, contours, hierarchy = cv2.findContours(thresh , cv2.RETR_TREE , cv2.CHAIN_APPROX_TC89_L1)
+       #draw the contours, it will be in array form
         cv2.drawContours(self.image , contours , -1 , (0, 255, 0) , 5)
-        plt.imshow(self.image, cmap='gray')
-        plt.show()
+       #show the contour with the image
+        cv2.imshow('Contours',self.image)
+        k = cv2.waitKey(0) & 0xFF
+        if k==27:#wait for esc key to destroy all windows
+            cv2.destroyAllWindows()
+        #here we find out solidity of all the contours and loop through a list of contours to classify X and O into different categories.
         for (i,c) in enumerate(contours):
             area = cv2.contourArea(c)
             (x, y, w, h) = cv2.boundingRect(c)
@@ -35,7 +42,7 @@ class CentroidContour():
                 cv2.drawContours(self.image ,[c] ,-1 , (0,255,0) , 5)
                 cv2.putText(self.image , char , (x, y - 10) , cv2.FONT_HERSHEY_COMPLEX, 1.25, (0, 255, 0), 5)
         return contours[0]
-
+    #For the available contours we find their entre points and print those centre points which will be in an array format
     def detectCentroids(self):
         centres = []
         cnts = self.contourXO()
@@ -47,4 +54,5 @@ class CentroidContour():
             cv2.drawContours(self.image , [ctr] , -1 , (0, 255, 0) , 2)
             cv2.circle(self.image , (cx, cy) , 7 , (255, 255, 255) , -1)
             cv2.putText(self.image, "center", (cx - 20, cy - 20) , cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 2)
-        print centres
+            cv2.imshow("Image", self.image)
+            cv2.waitKey(0)
diff --git a/scripts/obj_recogkinect.py b/scripts/obj_recogkinect.py
index 89be401756a3449d39a4774d6f0da4423234eea8..587aafd7028773f6089285b07c47f4cb7f9bd907 100755
--- a/scripts/obj_recogkinect.py
+++ b/scripts/obj_recogkinect.py
@@ -8,7 +8,7 @@ import cv2
 #from std_msgs.msg import String
 from sensor_msgs.msg import Image
 #ROS Image message to OpenCV2 image converter
-from cv_bridge import CvBridge, CvBridgeError
+import cv_bridge import CvBridge, CvBridgeError
 import sys
 
 
@@ -23,8 +23,7 @@ class image_converter:
         self.depth_sub = rospy.Subscriber(img_tpc1, Image, self.img_callback)
         ros_img = cv2.imread('/home/maitreyee/Pictures/IMG_20170927_090557092.jpg')
         self.bridge = CvBridge()
-
-    # Convert ROS image to OpenCV2
+            # Convert ROS image to OpenCV2
     def img_callback(self,ros_img) :
         try:
             cv2_img = self.bridge.imgmsg_to_cv2(ros_img, "bgr8")
@@ -34,11 +33,12 @@ class image_converter:
 
 
 
+
 def main(args):
     ic = image_converter()
     rospy.init_node('image_converter',anonymous=True)
     try:
-        rospy.spin()
+        rospy.sleep(30)
     except KeyboardInterrupt:
        print("Shutting down")
     cv2.destroyAllWindows()