I have two files on my project.
- File number one is responsible for eye-tracking and blinking calculations. It is being run whenever I type in a command in a terminal and it will access my laptop camera: python3 blink.py --shape-predictor shape_predictor_68_face_landmarks.dat Or the second scenario is when I show the path for a video file and it loads that file using this command line: python3 blink.py --shape-predictor shape_predictor_68_face_landmarks.dat --video "path"
- The second file is my GUI file where the first button on click should run the command line which would require video path. The second button should launch command line which would access my camera.
My question is how do I create a function for those buttons to run those scripts?
First File:
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,
"Sumirksejimai/Min: {}".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()
Second File:
from sqlite3 import Row
from tkinter import *
window = Tk()
window.title('GAtracker')
logo = PhotoImage(file='C:\\Users\\plytn\\Downloads\\blink\\logo.PNG')
def camera():
window.title('GAtracker - Camera')
buttonVideo = Button(window, text="Pradėti naudojant vaizdo įrašą")
buttonCamera = Button(window, text="Pradėti naudojant kamerą", command=camera)
buttonVideo.grid(row=1, column=0)
buttonCamera.grid(row=1, column=1)
gaLogo = Label(image=logo)
gaLogo.grid(row=0, column=0, columnspan=2)
window.mainloop()
