import cv2 import numpy as np import threading import time import os fy= open("camport.txt","r+") camport = fy.read().strip() fy.close bl = False cap = cv2.VideoCapture(int(camport)) def lefteye(): h = 1 #defines hight value so blink check doesnt error out while True: #loop for eye detection ret, frame = cap.read() if ret is False: break ################################################ Reads values set in gui, needs rework to single config file fy= open("valueY.txt","r+") vy = fy.read().strip() fy.close ################################################ fx= open("valueX.txt","r+") vx = fx.read().strip() fx.close ################################################ vyll= open("valueYl.txt","r+") vyl = vyll.read().strip() vyll.close ################################################ vxll= open("valueXl.txt","r+") vxl = vxll.read().strip() vxll.close ################################################ thresh= open("thresh.txt","r+") threshr = thresh.read().strip() thresh.close ################################################ 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 roi = frame[int(vxl): int(float(vy)), int(vyl): int(float(vx))] except: roi = frame[100: 300, 200: 316] rows, cols, _ = roi.shape gray_roi = cv2.cvtColor(roi, cv2.COLOR_BGR2GRAY) gray_roi = cv2.GaussianBlur(gray_roi, (7, 7), 0) _, threshold = cv2.threshold(gray_roi, int(threshr), 255, cv2.THRESH_BINARY_INV) contours, _ = cv2.findContours(threshold, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) contours = sorted(contours, key=lambda x: cv2.contourArea(x), reverse=True) for cnt in contours: (x, y, w, h) = cv2.boundingRect(cnt) openes = 95 if h <= 25: #way to find if eye is closed and sets value (hopefully will train tensorflow model for correct openess detection) openes = 0 print('Left: x:', x, 'y:', y, 'openess:', openes) print('Right: x:', x, 'y:', y, 'openess:', openes) cv2.line(threshold, (x + int(w/2), 0), (x + int(w/2), rows), (255, 0, 0), 1) #visualizes eyetracking on threshold cv2.line(threshold, (0, y + int(h/2)), (cols, y + int(h/2)), (255, 0, 0), 1) cv2.drawContours(threshold, [cnt], -1, (255, 0, 0), 3) cv2.rectangle(threshold, (x, y), (x + w, y + h), (255, 0, 0), 2) cv2.line(gray_roi, (x + int(w/2), 0), (x + int(w/2), rows), (255, 0, 0), 1) #visualizes eyetracking on greyscale cv2.line(gray_roi, (0, y + int(h/2)), (cols, y + int(h/2)), (255, 0, 0), 1) cv2.drawContours(gray_roi, [cnt], -1, (255, 0, 0), 3) cv2.rectangle(gray_roi, (x, y), (x + w, y + h), (255, 0, 0), 2) break if h == 0: #basically useless lol print('no eye detected"') cv2.imshow("Threshold", threshold) cv2.imshow("GreyScale", gray_roi) #cv2.imshow("Roi", roi) key = cv2.waitKey(30) print('###############> initailizing <###############') cv2.destroyAllWindows() if __name__ == '__main__': lefteye()