diff --git a/get_frames.py b/get_frames.py
index 252c5d9..8d1f010 100644
--- a/get_frames.py
+++ b/get_frames.py
@@ -3,14 +3,34 @@ import os.path
 import os
 from PIL import Image
 
-# Opens the Video file
+###############
+# def get_frames(input1)
+# ex. get_frames(video.mov)
+#
+# Task: Extracting frames from a video
+#
+# Inputs: 
+#   - input1: a video
+#
+# Output:
+#   -RGB_avg: a directory with all the frames of the video
+#
+# author: Loic Delattre and Maryne Dey (loic.delattre@ecam.fr, maryne.dey@ecam.fr)
+# date: 06/02/2023
+###############
+
+
 video = 'my_face.mov'
-path_to_script = os.path.dirname(os.path.abspath(__file__))
-if os.path.exists(path_to_script + r"\frames") == False:
-    os.mkdir(path_to_script + r"\frames")
+
 
 def get_frames(vid):
+    path_to_script = os.path.dirname(os.path.abspath(__file__))
+    if os.path.exists(path_to_script + r"\frames") == False:
+        os.mkdir(path_to_script + r"\frames")
+
+    # Opens the Video file
     cap= cv2.VideoCapture(vid)
+
     i=0
     while cap.isOpened():
         ret, img = cap.read()
@@ -21,15 +41,15 @@ def get_frames(vid):
         eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
 
         gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
-        faces = face_cascade.detectMultiScale(gray, 1.3, 5)
+        faces = face_cascade.detectMultiScale(gray, 1.3, 5) #detect the face in the frame
 
         for (x,y,w,h) in faces:
-            # To draw a rectangle in a face 
+            # To draw a rectangle in a face for testing purposes
             cv2.rectangle(img,(x,y),(x+w,y+h),(255,255,0),2) 
             roi_gray = gray[y:y+h, x:x+w]
             roi_color = img[y:y+h, x:x+w]
 
-        eyes = eye_cascade.detectMultiScale(roi_gray)
+        eyes = eye_cascade.detectMultiScale(roi_gray) #detect the eyes in the frames taking the face as reference
         list_ex = []
         list_ey = []
         list_ew = []
@@ -46,10 +66,10 @@ def get_frames(vid):
     
         #rectangle on forhead
         try:
-            fx = min(list_ex) + list_ew[list_ex.index(min(list_ex))]
+            fx = min(list_ex) + list_ew[list_ex.index(min(list_ex))] #deducing ROI from the eyes rectangle coordinates
             fy = max(list_ey)
             x1 = x + fx
-            x2 = x + fx + 100
+            x2 = x + fx + 100 #extra values in x and y in the parameters are adjustements made after manual testing
             y1 = y + fy - 150
             y2 = y + fy - 20
 
@@ -59,8 +79,7 @@ def get_frames(vid):
             i+=1
         except:
             print('error on min value of ex')
-        #extra values in x and y in the parameters are adjustements made after manual testing
-        #cv2.rectangle(roi_color, (fx,fy-150),(fx+100,fy-20),(0,127,255),2)
+        #cv2.rectangle(roi_color, (fx,fy-150),(fx+100,fy-20),(0,127,255),2) #for testing purposes
 
     cap.release()
     cv2.destroyAllWindows()