132 lines
2.9 KiB
Python
132 lines
2.9 KiB
Python
import argparse
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import time
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import cv2
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import dlib
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import imutils
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import numpy as np
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from imutils import face_utils
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from imutils.video import FileVideoStream, VideoStream
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from scipy.spatial import distance as dist
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def eye_aspect_ratio(eye):
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A = dist.euclidean(eye[1], eye[5])
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B = dist.euclidean(eye[2], eye[4])
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C = dist.euclidean(eye[0], eye[3])
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ear = (A + B) / (2.0 * C)
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return ear
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ap = argparse.ArgumentParser()
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ap.add_argument(
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"-p", "--shape-predictor", required=True, help="path to facial landmark predictor"
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)
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ap.add_argument("-v", "--video", type=str, default="", help="path to input video file")
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args = vars(ap.parse_args())
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EYE_AR_THRESH = 0.3
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EYE_AR_CONSEC_FRAMES = 3
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COUNTER = 0
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TOTAL = 0
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print("[INFO] loading facial landmark predictor...")
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detector = dlib.get_frontal_face_detector()
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predictor = dlib.shape_predictor(args["shape_predictor"])
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(lStart, lEnd) = face_utils.FACIAL_LANDMARKS_IDXS["left_eye"]
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(rStart, rEnd) = face_utils.FACIAL_LANDMARKS_IDXS["right_eye"]
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print("[INFO] starting video stream thread...")
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vs = FileVideoStream(args["video"]).start()
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fileStream = True
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vs = VideoStream(src=0).start()
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fileStream = False
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time.sleep(1.0)
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# uncomment to our video
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# video = cv2.VideoCapture("vid/blinking-woman1.mp4")
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while True:
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if fileStream and not vs.more():
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break
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frame = vs.read()
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# uncomment to our video
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# _, frame = video.read()
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# comment to our video
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frame = imutils.resize(frame, width=800)
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# comment to our video
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gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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rects = detector(gray, 0)
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# uncomment to our video
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# rects = detector(frame, 0)
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for rect in rects:
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# shape = predictor(gray, rect)
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shape = predictor(frame, rect)
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shape = face_utils.shape_to_np(shape)
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leftEye = shape[lStart:lEnd]
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rightEye = shape[rStart:rEnd]
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leftEAR = eye_aspect_ratio(leftEye)
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rightEAR = eye_aspect_ratio(rightEye)
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ear = (leftEAR + rightEAR) / 2.0
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leftEyeHull = cv2.convexHull(leftEye)
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rightEyeHull = cv2.convexHull(rightEye)
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cv2.drawContours(frame, [leftEyeHull], -1, (0, 255, 0), 1)
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cv2.drawContours(frame, [rightEyeHull], -1, (0, 255, 0), 1)
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if ear < EYE_AR_THRESH:
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COUNTER += 1
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else:
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if COUNTER >= EYE_AR_CONSEC_FRAMES:
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TOTAL += 1
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COUNTER = 0
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cv2.putText(
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frame,
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"Blinks: {}".format(TOTAL),
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(10, 30),
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cv2.FONT_HERSHEY_SIMPLEX,
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0.7,
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(0, 0, 255),
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2,
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)
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cv2.putText(
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frame,
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"EAR: {:.2f}".format(ear),
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(300, 30),
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cv2.FONT_HERSHEY_SIMPLEX,
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0.7,
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(0, 0, 255),
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2,
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)
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cv2.imshow("Frame", frame)
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key = cv2.waitKey(1) & 0xFF
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if key == ord("q"):
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break
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cv2.destroyAllWindows()
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# vs.stop() |