diff --git a/Image_Processing_Test_Video.webm b/Image_Processing_Test_Video.webm
new file mode 100644
index 0000000..8fe499e
Binary files /dev/null and b/Image_Processing_Test_Video.webm differ
diff --git a/face_detect.py b/face_detect.py
index 247a4d1..48aff47 100644
--- a/face_detect.py
+++ b/face_detect.py
@@ -1,4 +1,37 @@
 """ Experiment with face detection and image filtering using OpenCV """
+""" This worked when I ran it on my home computer, but not here for some reason.
+I got permission from a Ninja to push."""
 
 import cv2
-import numpy as np
\ No newline at end of file
+import numpy as np
+
+face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml')
+kernel = np.ones((30, 30), 'uint8')
+cap = cv2.VideoCapture('Image_Processing_Test_Video.webm')
+
+while True:
+    # Capture frame-by-frame
+    ret, frame = cap.read()
+
+    if ret:
+        faces = face_cascade.detectMultiScale(frame, scaleFactor=1.2, minSize=(20, 20))
+        for (x, y, w, h) in faces:
+            frame[y:y+h, x:x+w, :] = cv2.dilate(frame[y:y+h, x:x+w, :], kernel)
+            # cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0))
+            # face
+            cv2.ellipse(frame, (x+int(w/2), y+int(h/2)), (int(0.9*w/2), int(h/2)), 0, 0, 360, (0, 0, 0), 2)
+            # mouth
+            cv2.ellipse(frame, (x+int(w/2), y+int(h/2)), (int(w/3), int(h/3)), 0, 45, 135, (0, 0, 0), 2)
+            # eyes
+            cv2.ellipse(frame, (x+int(2*w/7), y+int(2*h/5)), (int(w/10), int(h/15)), 0, 0, 360, (0, 0, 0), 2)
+            cv2.ellipse(frame, (x+int(5*w/7), y+int(2*h/5)), (int(w/10), int(h/15)), 0, 0, 360, (0, 0, 0), 2)
+
+        # Display the resulting frame
+        cv2.imshow('frame', frame)
+
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+# When everything done, release the capture
+cap.release()
+cv2.destroyAllWindows()