Created
August 4, 2020 17:02
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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() |
Hello, What is the license of this code?
Hello, What is the license of this code?
MIT
Thank you for quick reply. 👍
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python3 detect_blinks.py --shape-predictor shape_predictor_68_face_landmarks.dat (for live video)
python3 detect_blinks.py --shape-predictor shape_predictor_68_face_landmarks.dat --video "replace this with demo vidio file path" (for demo video)