Jan-29-2021, 10:52 AM
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()