diff --git a/README.md b/README.md
index 2372549..4f0c106 100644
--- a/README.md
+++ b/README.md
@@ -21,4 +21,8 @@ $ pip3 install opencv-python	# This installs numpy as its dependency
 $ pip3 install face_recognition	# This installs dlib as its dependency
 ```
 
-I will add more information as the course goes on.
+## What this repo has
+
+* **display.py** program to show a picture using OpenCV functions
+* **video\_capture.py** to record what's in the webcam
+* **mirror\_facedetect.py** to detect faces in the webcam
diff --git a/display.py b/display.py
old mode 100644
new mode 100755
index a2a7456..8317b52
--- a/display.py
+++ b/display.py
@@ -1,3 +1,4 @@
+#!/usr/bin/env python3
 import sys
 import cv2
 import numpy
diff --git a/mirror_facedetect.py b/mirror_facedetect.py
old mode 100644
new mode 100755
index c0fb2d5..1c9e393
--- a/mirror_facedetect.py
+++ b/mirror_facedetect.py
@@ -1,12 +1,16 @@
+#!/usr/bin/env python3
 # mirror_facedetect.py: Detect faces in the view of webcam
 import cv2
 import numpy
 import face_recognition
 import sys
+import os
 
 # Increase this number to speed up and lower the accuracy
 k=4
 
+font=cv2.FONT_HERSHEY_PLAIN
+
 # Allow users to change k while running
 if len(sys.argv)>=2:
     k=int(sys.argv[1])
@@ -21,6 +25,8 @@ def mark_faces(frm):
     for i,face in enumerate(faces):
         top,right,bottom,left=face
         frm=cv2.rectangle(frm,(k*left,k*top),(k*right,k*bottom),colors[i%3],3)
+    os.system("clear")  # To make the screen not that messy
+    print("Found {} faces".format(len(faces)))
     return frm
 
 camera=cv2.VideoCapture(0)
@@ -31,7 +37,7 @@ def mark_faces(frm):
         break
     frm=cv2.flip(frm,1)
     # This is just to put rectangle to highlight the faces
-    mark_faces(frm)
+    frm=mark_faces(frm)
     cv2.imshow('The Mirror',frm)
     if cv2.waitKey(1) & 0xFF == ord('q'):
         break
diff --git a/video_capture.py b/video_capture.py
old mode 100644
new mode 100755
index 68f0d0f..6def880
--- a/video_capture.py
+++ b/video_capture.py
@@ -1,3 +1,4 @@
+#!/usr/bin/env python3
 import cv2
 import numpy    # This seems to be useless, but it's needed to operate ndarrays
 
@@ -20,9 +21,10 @@
     ret, frame=cap.read()
     if ret==False:
         break
+    frame=cv2.flip(frame,1) # To make mirror effect
     out.write(frame)
     cv2.imshow('Camera',frame)
-    if cv2.waitKey(1) & 0xFF == ord('q'):
+    if cv2.waitKey(50) & 0xFF == ord('q'):
         break
 
 # Destroy the camera object