diff --git a/main.py b/main.py
index 254237d..bce384a 100644
--- a/main.py
+++ b/main.py
@@ -11,14 +11,15 @@
 
 # we run the algorithm on Caltech Pedestrian and Nexet Dataset
 # set the corresponding directory of the dataset here
-inDirectory = "Datasets/Nexet_1"
-outDirectory = inDirectory + "_out"
-if not os.path.exists(outDirectory):
-    os.makedirs(outDirectory)
-imageNames = os.listdir(inDirectory + "/")
+inDirectory = "Datasets/Caltech_Pedestrian"
+
 
 # Nexet dataset
 if(inDirectory == "Datasets/Nexet_1"):
+    outDirectory = inDirectory + "_out"
+    if not os.path.exists(outDirectory):
+        os.makedirs(outDirectory)
+    imageNames = os.listdir(inDirectory + "/")
 	for imageName in imageNames:
 	    if imageName == '.DS_Store':
 	        continue
@@ -28,7 +29,7 @@
 	    out = process_image(image)
 	    mpimg.imsave(outDirectory + "/" + imageName, out)
 	#     print("Processed " + outDirectory + "/" + imageName)
-	print("Processing complete.")  
+	print("Processing complete.")
 
 
 # Caltech Pedestrian dataset
@@ -47,8 +48,7 @@
 	'''NOTE: this function expects color images!!
 	this runs the function process_image over each frame of the video'''
 	white_clip = clip1.fl_image(process_image) 
-	print("Processing complete.")  
-	# %time white_clip.write_videofile(white_output, audio=False)
+	white_clip.write_videofile(white_output, audio=False)
 
 
 ''' Helper functions for seq file processing'''
diff --git a/utils/functions.py b/utils/functions.py
index eb9ad60..def24ec 100644
--- a/utils/functions.py
+++ b/utils/functions.py
@@ -1,4 +1,4 @@
-print("Functions")
+# print("Functions")
 
 import math
 import numpy as np
diff --git a/utils/globalvars.py b/utils/globalvars.py
index c6ab9f1..77da250 100644
--- a/utils/globalvars.py
+++ b/utils/globalvars.py
@@ -1,4 +1,4 @@
-print("Globals")
+# print("Globals")
 
 global avgLeft
 global avgRight
diff --git a/utils/process_image.py b/utils/process_image.py
index 5f95ad4..1b3e714 100644
--- a/utils/process_image.py
+++ b/utils/process_image.py
@@ -77,12 +77,6 @@ def process_image(image):
     # Test detected edges by uncommenting this
     #return cv2.cvtColor(regionInterestImage, cv2.COLOR_GRAY2RGB)
 
-    # draw ROI on the image for visualization
-    cv2.line(image, (vertices[0][0], vertices[0][1]), (vertices[1][0], vertices[1][1]), [255,255,0], 10)
-    cv2.line(image, (vertices[1][0], vertices[1][1]), (vertices[2][0], vertices[2][1]), [255,255,0], 10)
-    cv2.line(image, (vertices[2][0], vertices[2][1]), (vertices[3][0], vertices[3][1]), [255,255,0], 10)
-    cv2.line(image, (vertices[3][0], vertices[3][1]), (vertices[0][0], vertices[0][1]), [255,255,0], 10)
-
     # draw output on top of original
     weightedImage =  weighted_img(lineMarkedImage, image)