blink detection # python3 detect_blinks.py --shape-predictor shape_predictor_68_face_landmarks.dat --video blink_detection_demo1.mov

blink.py

import argparse
import time

import cv2
import dlib
import imutils
import numpy as np
from imutils import face_utils
from imutils.video import FileVideoStream, VideoStream
from scipy.spatial import distance as dist


def eye_aspect_ratio(eye):
    A = dist.euclidean(eye[1], eye[5])
    B = dist.euclidean(eye[2], eye[4])
    C = dist.euclidean(eye[0], eye[3])
    ear = (A + B) / (2.0 * C)
    return ear


ap = argparse.ArgumentParser()
ap.add_argument(
    "-p", "--shape-predictor", required=True, help="path to facial landmark predictor"
)
ap.add_argument("-v", "--video", type=str, default="", help="path to input video file")
args = vars(ap.parse_args())


EYE_AR_THRESH = 0.3
EYE_AR_CONSEC_FRAMES = 3


COUNTER = 0
TOTAL = 0


print("[INFO] loading facial landmark predictor...")
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(args["shape_predictor"])


(lStart, lEnd) = face_utils.FACIAL_LANDMARKS_IDXS["left_eye"]
(rStart, rEnd) = face_utils.FACIAL_LANDMARKS_IDXS["right_eye"]


print("[INFO] starting video stream thread...")
vs = FileVideoStream(args["video"]).start()
fileStream = True
vs = VideoStream(src=0).start()
fileStream = False
time.sleep(1.0)


while True:

    if fileStream and not vs.more():
        break

    frame = vs.read()
    frame = imutils.resize(frame, width=800)
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    rects = detector(gray, 0)

    for rect in rects:

        shape = predictor(gray, rect)
        shape = face_utils.shape_to_np(shape)

        leftEye = shape[lStart:lEnd]
        rightEye = shape[rStart:rEnd]
        leftEAR = eye_aspect_ratio(leftEye)
        rightEAR = eye_aspect_ratio(rightEye)

        ear = (leftEAR + rightEAR) / 2.0

        leftEyeHull = cv2.convexHull(leftEye)
        rightEyeHull = cv2.convexHull(rightEye)
        cv2.drawContours(frame, [leftEyeHull], -1, (0, 255, 0), 1)
        cv2.drawContours(frame, [rightEyeHull], -1, (0, 255, 0), 1)

        if ear < EYE_AR_THRESH:
            COUNTER += 1

        else:

            if COUNTER >= EYE_AR_CONSEC_FRAMES:
                TOTAL += 1

            COUNTER = 0

        cv2.putText(
            frame,
            "Blinks: {}".format(TOTAL),
            (10, 30),
            cv2.FONT_HERSHEY_SIMPLEX,
            0.7,
            (0, 0, 255),
            2,
        )
        cv2.putText(
            frame,
            "EAR: {:.2f}".format(ear),
            (300, 30),
            cv2.FONT_HERSHEY_SIMPLEX,
            0.7,
            (0, 0, 255),
            2,
        )

    cv2.imshow("Frame", frame)
    key = cv2.waitKey(1) & 0xFF

    if key == ord("q"):
        break


cv2.destroyAllWindows()
vs.stop()