opencv Tutorial Cascade Classifier
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 |
import cv2 as cv def detectAndDisplay(frame): frame_gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY) frame_gray = cv.equalizeHist(frame_gray) <em>#-- Detect faces</em> faces = face_cascade.detectMultiScale(frame_gray) for (x,y,w,h) in faces: center = (x + w//2, y + h//2) frame = cv.ellipse(frame, center, (w//2, h//2), 0, 0, 360, (255, 0, 255), 4) cv.imshow('Capture - Face detection', frame) face_cascade = cv.CascadeClassifier() if not face_cascade.load('Haar-cascade/haarcascade_frontalface_alt.xml'): print('--(!)Error loading face cascade') exit(0) cap = cv.VideoCapture(0) if not cap.isOpened: print('--(!)Error opening video capture') exit(0) while True: ret, frame = cap.read() if frame is None: print('--(!) No captured frame -- Break!') break detectAndDisplay(frame) if cv.waitKey(10) == 27: break |