mirror of
https://github.com/EyeTrackVR/EyeTrackVR.git
synced 2025-11-04 14:39:42 +08:00
105 lines
3.1 KiB
Python
105 lines
3.1 KiB
Python
import cv2
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import numpy as np
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import threading
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from multiprocessing import Process,Queue,Pipe
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fy= open("camport.txt","r+")
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camport = fy.read().strip()
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fy.close
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bl = False
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cap = cv2.VideoCapture(int(camport))
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import time
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def lefteye():
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h = 1
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textl = 1
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while True:
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ret, frame = cap.read()
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if ret is False:
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break
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fy= open("valueY.txt","r+")
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vy = fy.read().strip()
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fy.close
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###########
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fx= open("valueX.txt","r+")
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vx = fx.read().strip()
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fx.close
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################
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vyll= open("valueYl.txt","r+")
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vyl = vyll.read().strip()
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vyll.close
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#############
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vxll= open("valueXl.txt","r+")
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vxl = vxll.read().strip()
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vxll.close
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##########################
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thresh= open("thresh.txt","r+")
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threshr = thresh.read().strip()
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thresh.close
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try:
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roi = frame[int(vxl): int(float(vy)), int(vyl): int(float(vx))]
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except:
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roi = frame[100: 300, 200: 316]
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rows, cols, _ = roi.shape
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gray_roi = cv2.cvtColor(roi, cv2.COLOR_BGR2GRAY)
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gray_roi = cv2.GaussianBlur(gray_roi, (7, 7), 0)
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_, threshold = cv2.threshold(gray_roi, int(threshr), 255, cv2.THRESH_BINARY_INV)
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contours, _ = cv2.findContours(threshold, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
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contours = sorted(contours, key=lambda x: cv2.contourArea(x), reverse=True)
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for cnt in contours:
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(x, y, w, h) = cv2.boundingRect(cnt)
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#print(x, y,)
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textl = str(x) + ' ' + str(y)
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cv2.drawContours(roi, [cnt], -1, (0, 0, 255), 3)
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cv2.rectangle(roi, (x, y), (x + w, y + h), (255, 0, 0), 2)
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if h <= 10:
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print('blink')
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textl = 'blink'
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if w >= 50:
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print('eyeclosed')
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textl = 'eyeclosed'
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eyeopeness1 = h * 2 * w
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print(eyeopeness1)
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cv2.putText(frame, textl, (200, 300), cv2.FONT_HERSHEY_DUPLEX, 0.9, (100, 58, 31), 1)
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cv2.line(roi, (x + int(w/2), 0), (x + int(w/2), rows), (100, 0, 255), 1)
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cv2.line(roi, (0, y + int(h/2)), (cols, y + int(h/2)), (0, 255, 0), 1)
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break
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if textl == 'blink':
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cv2.putText(frame, textl, (200, 300), cv2.FONT_HERSHEY_DUPLEX, 0.9, (100, 58, 31), 1)
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if textl == 'eyeclosed':
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cv2.putText(frame, textl, (200, 300), cv2.FONT_HERSHEY_DUPLEX, 0.9, (100, 58, 31), 1)
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if h == 0:
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print('no eye detected"')
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iii = 0
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cv2.imshow("Threshold", threshold)
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cv2.imshow("gray roi", gray_roi)
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cv2.imshow("Roi", roi)
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key = cv2.waitKey(30)
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print('###############> initailizing threads <###############')
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t1 = threading.Thread(target=lefteye)
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#t2 = threading.Thread(target=valuy)
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t1.start()
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#t2.start()
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t1.join()
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#t2.join()
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cv2.destroyAllWindows()
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