人脸试妆新购活动

import cv2
import numpy as np

# 加载人脸检测器和妆容素材
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
lipstick_img = cv2.imread('lipstick.png', -1)

def apply_lipstick(frame, lipstick_img):
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
    
    for (x, y, w, h) in faces:
        lipstick_resized = cv2.resize(lipstick_img, (w, h))
        for c in range(0, 3):
            frame[y:y+h, x:x+w, c] = lipstick_resized[:, :, c] * (lipstick_resized[:, :, 3] / 255.0) + frame[y:y+h, x:x+w, c] * (1.0 - lipstick_resized[:, :, 3] / 255.0)
    
    return frame

# 主程序
cap = cv2.VideoCapture(0)
while True:
    ret, frame = cap.read()
    if not ret:
        break
    frame_with_lipstick = apply_lipstick(frame, lipstick_img)
    cv2.imshow('Face Makeup', frame_with_lipstick)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()