FaceDetection

import cv2
print(cv2.__version__)
dispW=640
dispH=480
flip=2

#camSet='nvarguscamerasrc !  video/x-raw(memory:NVMM), width=3264, height=2464, format=NV12, framerate=21/1 ! nvvidconv flip-method='+str(flip)+' ! video/x-raw, width='+str(dispW)+', height='+str(dispH)+', format=BGRx ! videoconvert ! video/x-raw, format=BGR ! appsink'
#cam= cv2.VideoCapture(camSet)

cam=cv2.VideoCapture(1)
face_cascade=cv2.CascadeClassifier('/home/anbu/Desktop/PyPro/cascade/face.xml')

while True:
    ret, frame = cam.read()
    gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
    faces=face_cascade.detectMultiScale(gray,1.3,5)
    for (x,y,w,h) in faces:
        cv2.rectangle(frame, (x,y),(x+w,y+h),(0,0,255),4)
    
    cv2.imshow('nanoCam',frame)
    cv2.moveWindow('nanoCam',0,0)
    if cv2.waitKey(1)==ord('q'):
        break
        
cam.release()
cv2.destroyAllWindows()