mediapipe facemesh实现3维人脸特效实例代码

以下是使用Mediapipe Facemesh实现3D人脸特效的示例代码：

import cv2
import mediapipe as mp
import numpy as np

# 初始化Mediapipe Facemesh
mp_drawing = mp.solutions.drawing_utils
mp_face_mesh = mp.solutions.face_mesh

# 加载3D模型
obj_file = 'path/to/3d/model.obj'
mesh = pymesh.load_mesh(obj_file)

def draw_mesh(image, landmarks):
    # 绘制三角形网格
    for triangle in mesh.faces:
        pt1 = landmarks[triangle[0]]
        pt2 = landmarks[triangle[1]]
        pt3 = landmarks[triangle[2]]
        pt1 = (int(pt1.x), int(pt1.y))
        pt2 = (int(pt2.x), int(pt2.y))
        pt3 = (int(pt3.x), int(pt3.y))
        cv2.line(image, pt1, pt2, (0, 255, 0), 1)
        cv2.line(image, pt2, pt3, (0, 255, 0), 1)
        cv2.line(image, pt3, pt1, (0, 255, 0), 1)

def main():
    # 打开摄像头
    cap = cv2.VideoCapture(0)

    # 初始化Mediapipe Facemesh
    with mp_face_mesh.FaceMesh(min_detection_confidence=0.5, min_tracking_confidence=0.5) as face_mesh:
        while True:
            # 读取视频帧
            ret, image = cap.read()
            if not ret:
                break

            # 转换为RGB格式
            image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
            image.flags.writeable = False

            # 检测人脸关键点
            results = face_mesh.process(image)

            # 绘制关键点和三角形网格
            if results.multi_face_landmarks:
                for landmarks in results.multi_face_landmarks:
                    mp_drawing.draw_landmarks(image, landmarks)
                    draw_mesh(image, landmarks.landmark)

            # 转换为BGR格式
            image.flags.writeable = True
            image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)

            # 显示视频帧
            cv2.imshow('Facemesh 3D', image)
            if cv2.waitKey(1) == ord('q'):
                break

    # 释放摄像头
    cap.release()
    cv2.destroyAllWindows()

if __name__ == '__main__':
    main()

注意：上述代码中的`pymesh`是一个Python库，用于加载和操作3D模型。在运行代码之前，请确保已安装此库。