Hi, I only have the code for recognition.
import cv2
import operator
face_cascade = cv2.CascadeClassifier("./haarcascade_frontalface_alt2.xml")
profile_cascade = cv2.CascadeClassifier("./haarcascade_profileface.xml")
webcam = cv2.VideoCapture(0)
width = int(webcam.get(3))
marge = 80
while True:
ret, frame = webcam.read()
tab_face = []
speed = cv2.getTickCount()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
face = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=4)
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) == ord('q'):
break
fps = cv2.getTickFrequency() / (cv2.getTickCount()-speed)
cv2.putText(frame, "FPS : {:05.2f}".format(fps), (10, 30), cv2.FONT_HERSHEY_PLAIN, 2, (255, 0, 0), 2)
cv2.imshow('video', frame)
webcam.release()
cv2.destroyAllWindows()