mirror of
https://github.com/EyeTrackVR/EyeTrackVR.git
synced 2025-11-04 14:39:42 +08:00
99 lines
3.5 KiB
Python
99 lines
3.5 KiB
Python
import cv2
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import numpy as np
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import threading
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import time
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import os
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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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def lefteye():
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h = 1 #defines hight value so blink check doesnt error out
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while True: #loop for eye detection
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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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################################################ Reads values set in gui, needs rework to single config file
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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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################################################
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try: # trys at set size if it errors it will revert to working size/ doesnt do what was orrigionally planed, it kinda helps, entire thing will eventually go into try and except later
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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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openes = 95
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if h <= 25: #way to find if eye is closed and sets value (hopefully will train tensorflow model for correct openess detection)
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openes = 0
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print('Left: x:', x, 'y:', y, 'openess:', openes)
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print('Right: x:', x, 'y:', y, 'openess:', openes)
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cv2.line(threshold, (x + int(w/2), 0), (x + int(w/2), rows), (255, 0, 0), 1) #visualizes eyetracking on threshold
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cv2.line(threshold, (0, y + int(h/2)), (cols, y + int(h/2)), (255, 0, 0), 1)
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cv2.drawContours(threshold, [cnt], -1, (255, 0, 0), 3)
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cv2.rectangle(threshold, (x, y), (x + w, y + h), (255, 0, 0), 2)
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cv2.line(gray_roi, (x + int(w/2), 0), (x + int(w/2), rows), (255, 0, 0), 1) #visualizes eyetracking on greyscale
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cv2.line(gray_roi, (0, y + int(h/2)), (cols, y + int(h/2)), (255, 0, 0), 1)
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cv2.drawContours(gray_roi, [cnt], -1, (255, 0, 0), 3)
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cv2.rectangle(gray_roi, (x, y), (x + w, y + h), (255, 0, 0), 2)
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break
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if h == 0: #basically useless lol
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print('no eye detected"')
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cv2.imshow("Threshold", threshold)
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cv2.imshow("GreyScale", gray_roi)
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#cv2.imshow("Roi", roi)
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key = cv2.waitKey(30)
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print('###############> initailizing <###############')
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cv2.destroyAllWindows()
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if __name__ == '__main__':
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lefteye()
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