双11人脸特效推荐

import cv2
import dlib

# 加载人脸检测器和关键点预测器
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")

# 读取贴纸图像
sticker = cv2.imread('sticker.png', -1)

def apply_sticker(frame, face_rect, sticker):
    x, y, w, h = face_rect.left(), face_rect.top(), face_rect.width(), face_rect.height()
    sticker_resized = cv2.resize(sticker, (w, h))
    alpha_s = sticker_resized[:, :, 3] / 255.0
    alpha_l = 1.0 - alpha_s

    for c in range(0, 3):
        frame[y:y+h, x:x+w, c] = (alpha_s * sticker_resized[:, :, c] +
                                  alpha_l * frame[y:y+h, x:x+w, c])

cap = cv2.VideoCapture(0)

while True:
    ret, frame = cap.read()
    if not ret:
        break

    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = detector(gray)

    for face in faces:
        apply_sticker(frame, face, sticker)

    cv2.imshow('Face Sticker', frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()