This is my 1st commit for my part. this is a small part for the eye concentration.

eye.py

+import cv2
+import os
+
+# Load and create faceCascade Classifier
+facePath = os.path.dirname(cv2.__file__) + "/data/haarcascade_frontalface_default.xml"
+faceCascade = cv2.CascadeClassifier(facePath)
+
+eyePath = os.path.dirname(cv2.__file__) + "/data/haarcascade_eye.xml"
+eyeCascade = cv2.CascadeClassifier(eyePath)
+
+out = cv2.VideoWriter('faceEyeDetection.mp4', -1, 20.0, (640, 480))
+video = cv2.VideoCapture(0)
+
+while True:
+    try:
+        ret, frames = video.read()
+        gray = cv2.cvtColor(frames, cv2.COLOR_BGR2GRAY)
+
+        # Face Detection
+        faces = faceCascade.detectMultiScale(gray)
+        for (x, y, w, h) in faces: cv2.rectangle(frames, (x, y), (x + w, y + h), (255, 255, 0), 2)
+
+        # Eye Detection
+        eyes = eyeCascade.detectMultiScale(gray)
+        for (x, y, w, h) in eyes: cv2.rectangle(frames, (x, y), (x + w, y + h), (0, 165, 255), 2)
+
+        # Save and Show the Video
+        out.write(frames)
+        cv2.imshow('WebCam', frames)
+
+        if cv2.waitKey(1) & 0xFF == ord('q'): break
+
+    except Exception as e:
+        print(str(e))
+        break
+
+video.release()
+out.release()
+cv2.destroyAllWindows()
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