import cv2
import operator

face_cascade=cv2.CascadeClassifier("./haarcascade_frontalface_alt2.xml")
profile_cascade=cv2.CascadeClassifier("./haarcascade_profileface.xml")
cap=cv2.VideoCapture(0)
width=int(cap.get(3))
marge=70

while True:
    ret, frame=cap.read()
    tab_face=[]
    tickmark=cv2.getTickCount()
    gray=cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    face=face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=4, minSize=(5, 5))
    for x, y, w, h in face:
        tab_face.append([x, y, x+w, y+h])
    face=profile_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=4)
    for x, y, w, h in face:
        tab_face.append([x, y, x+w, y+h])
    gray2=cv2.flip(gray, 1)
    face=profile_cascade.detectMultiScale(gray2, scaleFactor=1.2, minNeighbors=4)
    for x, y, w, h in face:
        tab_face.append([width-x, y, width-(x+w), y+h])
    tab_face=sorted(tab_face, key=operator.itemgetter(0, 1))
    index=0
    for x, y, x2, y2 in tab_face:
        if not index or (x-tab_face[index-1][0]>marge or y-tab_face[index-1][1]>marge):
            cv2.rectangle(frame, (x, y), (x2, y2), (0, 0, 255), 2)
        index+=1
    if cv2.waitKey(1)&0xFF==ord('q'):
        break
    fps=cv2.getTickFrequency()/(cv2.getTickCount()-tickmark)
    cv2.putText(frame, "FPS: {:05.2f}".format(fps), (10, 30), cv2.FONT_HERSHEY_PLAIN, 2, (255, 0, 0), 2)
    cv2.imshow('video', frame)
cap.release()
cv2.destroyAllWindows()