137 lines
4.2 KiB
Python
137 lines
4.2 KiB
Python
# import the necessary packages
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from scipy.spatial import distance as dist
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from imutils.video import FileVideoStream
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from imutils.video import VideoStream
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from imutils import face_utils
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import numpy as np
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import argparse
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import imutils
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import time
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import dlib
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import cv2
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def eye_aspect_ratio(eye):
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# compute the euclidean distances between the two sets of
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# vertical eye landmarks (x, y)-coordinates
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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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# compute the euclidean distance between the horizontal
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# eye landmark (x, y)-coordinates
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C = dist.euclidean(eye[0], eye[3])
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# compute the eye aspect ratio
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ear = (A + B) / (2.0 * C)
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# return the eye aspect ratio
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return ear
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# construct the argument parse and parse the arguments
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ap = argparse.ArgumentParser()
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ap.add_argument("-p", "--shape-predictor", required=True,
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help="path to facial landmark predictor")
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ap.add_argument("-v", "--video", type=str, default="",
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help="path to input video file")
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args = vars(ap.parse_args())
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# define two constants, one for the eye aspect ratio to indicate
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# blink and then a second constant for the number of consecutive
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# frames the eye must be below the threshold
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EYE_AR_THRESH = 0.3
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EYE_AR_CONSEC_FRAMES = 3
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# initialize the frame counters and the total number of blinks
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COUNTER = 0
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TOTAL = 0
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# initialize dlib's face detector (HOG-based) and then create
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# the facial landmark predictor
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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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# start the video stream thread
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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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# vs = VideoStream(usePiCamera=True).start()
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# fileStream = False
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time.sleep(1.0)
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# loop over frames from the video stream
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while True:
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# if this is a file video stream, then we need to check if
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# there any more frames left in the buffer to process
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if fileStream and not vs.more():
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break
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# grab the frame from the threaded video file stream, resize
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# it, and convert it to grayscale
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# channels)
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frame = vs.read()
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try:
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frame = imutils.resize(frame, width=450)
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gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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# detect faces in the grayscale frame
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rects = detector(gray, 0)
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for rect in rects:
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# determine the facial landmarks for the face region, then
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# convert the facial landmark (x, y)-coordinates to a NumPy
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# array
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shape = predictor(gray, rect)
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shape = face_utils.shape_to_np(shape)
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# extract the left and right eye coordinates, then use the
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# coordinates to compute the eye aspect ratio for both eyes
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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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# average the eye aspect ratio together for both eyes
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ear = (leftEAR + rightEAR) / 2.0
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# visualize each of the eyes
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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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# otherwise, the eye aspect ratio is not below the blink
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# threshold
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else:
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# if the eyes were closed for a sufficient number of
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# then increment the total number of blinks
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if COUNTER >= EYE_AR_CONSEC_FRAMES:
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TOTAL += 1
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# reset the eye frame counter
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COUNTER = 0
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# draw the total number of blinks on the frame along with
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# the computed eye aspect ratio for the frame
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cv2.putText(frame, "Blinks: {}".format(TOTAL), (10, 30),
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cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
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cv2.putText(frame, "EAR: {:.2f}".format(ear), (300, 30),
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cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
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# show the frame
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cv2.imshow("Frame", frame)
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key = cv2.waitKey(1) & 0xFF
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# if the `q` key was pressed, break from the loop
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if key == ord("q"):
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break
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# do a bit of cleanup
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except:
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print(f"BLINKS COUNT: {TOTAL}")
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cv2.destroyAllWindows()
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vs.stop() |