main.py

import cv2 as cv2
import numpy as np
import mediapipe as mp
mp_face_mesh = mp.solutions.face_mesh
LEFT_EYE=[362, 382, 381, 380, 374, 373, 390, 249, 263, 466, 388, 387, 386, 385, 384, 398]
#right eyes indices
RIGHT_EYE=[33, 7, 163, 144, 145, 153, 154, 155, 133, 173, 157, 158, 159, 160, 161, 246]
LEFT_IRIS=[474, 475, 476, 477]
RIGHT_IRIS=[469, 470, 471, 472]
cap=cv2.VideoCapture(0)
with mp_face_mesh.FaceMesh(
    max_num_faces=1,
    refine_landmarks=True,
    min_detection_confidence=0.5, 
    min_tracking_confidence=0.5
) as face_mesh:
    
    while True:
        ret,frame= cap.read()
        if not ret:
            break
        frame =cv2.flip(frame,1)
        rgb_frame =cv2.cvtColor(frame,cv2.COLOR_BGR2RGB)
        img_h,img_w=frame.shape[:2]
        results= face_mesh.process(rgb_frame)      
        if results.multi_face_landmarks:
            #print(results.multi_face_landmarks[0].landmark)
            mesh_points=np.array([np.multiply([p.x ,p.y], [img_w,img_h]).astype(int) for p in results.multi_face_landmarks[0].landmark])
            #print(mesh_points.shape)
            #cv2.polylines(frame,[mesh_points[LEFT_IRIS]],True,(255,0,0),1, cv2.LINE_AA)
            #cv2.polylines(frame,[mesh_points[RIGHT_IRIS]],True,(0,255,0),1, cv2.LINE_AA)
            (l_cx,l_cy),l_radius =cv2.minEnclosingCircle(mesh_points[LEFT_IRIS])
            (r_cx,r_cy),r_radius =cv2.minEnclosingCircle(mesh_points[RIGHT_IRIS])
            center_left = np.array([l_cx,l_cy], dtype=np.int32)
            center_right = np.array([r_cx,r_cy], dtype=np.int32)
            cv2.circle(frame,center_left,int(l_radius),(255,0,255),1,cv2.LINE_AA)
            cv2.circle(frame,center_right ,int(r_radius),(255,0,255),1,cv2.LINE_AA)

        cv2.imshow('img',frame)
        key = cv2.waitKey(1)
        if key ==ord('q'):
            break
cap.release()    
cv2.destroyAllWindows()