import numpy as np import cv2 import thread, winsound
face_cascade = cv2.CascadeClassifier('C:\Users\Saddaqat\Desktop\Softwares\opencv\build\share\OpenCV\haarcascades\haarcascade_frontalface_default.xml') eye_cascade = cv2.CascadeClassifier('C:\Users\Saddaqat\Desktop\Softwares\opencv\build\share\OpenCV\haarcascades\haarcascade_eye.xml')
def beep(): for i in xrange(4): winsound.Beep(1500, 250)
cam = cv2.VideoCapture() count = 0 iters = 0 while(True): ret, cur = cam.read() gray = cv2.cvtColor(cur, cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScale(gray,scaleFactor = 1.1, minNeighbors=1, minSize=(10,10)) for (x,y,w,h) in faces: #cv2.rectangle(cur,(x,y),(x+w,y+h),(255,0,0),2) roi_gray = gray[y:y+h,x:x+w] roi_color = cur[y:y+h,x:x+w] eyes = eye_cascade.detectMultiScale(roi_gray) if len(eyes) == 0: print "Eyes closed" else: print "Eyes open" count += len(eyes) iters += 1 if iters == 2: iters = 0 if count == 0: print "Drowsiness Detected!!!" thread.start_new_thread(beep,()) count = 0 for (ex,ey,ew,eh) in eyes: cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh), (0,255,0),2) cv2.imshow('frame', cur) if cv2.waitKey(1) & 0xFF == ord('q'): cv2.destroyAllWindows() break
Traceback (most recent call last): File "C:\Users\Saddaqat\Desktop\fatigue detection code", line 17, in <module> gray = cv2.cvtColor(cur, cv2.COLOR_BGR2GRAY) error: ........\opencv\modules\imgproc\src\color.cpp:3739: error: (-215) scn == 3 || scn == 4 in function cv::cvtColor