PHP 및 OpenCV 라이브러리를 사용하여 얼굴 특징점 감지를 구현하는 방법은 무엇입니까?

<?php
// 加载OpenCV库
$opencvPath = '/path/to/opencv/library';
$opencvLibPath = $opencvPath . '/lib';
$opencvIncludePath = $opencvPath . '/include';
$pathEnv = getenv('PATH');
putenv('PATH=' . $opencvLibPath . ':' . $pathEnv);
putenv('LD_LIBRARY_PATH=' . $opencvLibPath);

// 加载人脸特征点检测模型
$faceCascadePath = '/path/to/haarcascade_frontalface_alt.xml';
$faceCascade = new CvHaarClassifierCascade(cvLoad($faceCascadePath));

// 加载人脸特征点检测器
$faceDetector = new CvHaarDetector($faceCascade);

// 读取待检测的图像
$imagePath = '/path/to/image.jpg';
$image = new CvImage($imagePath, CV_LOAD_IMAGE_COLOR);

// 转为灰度图
$grayImage = $image->convertColor(CV_BGR2GRAY);

// 执行人脸检测
$faces = $faceDetector->detect($grayImage);

// 遍历检测到的人脸
foreach ($faces as $face) {
    // 获取人脸区域
    $rect = $face->getRect();

    // 在原图上绘制人脸区域矩形框
    $image->rectangle($rect, new CvScalar(255, 0, 0)); // 红色矩形框

    // 获取人脸特征点
    $landmarkDetectorPath = '/path/to/shape_predictor_68_face_landmarks.dat';
    $landmarkDetector = new DlibLandmarkDetector($landmarkDetectorPath);
    $landmarks = $landmarkDetector->detect($grayImage, $face);

    // 绘制人脸特征点
    foreach ($landmarks as $point) {
        $image->circle($point, 2, new CvScalar(0, 255, 0)); // 绿色圆点
    }
}

// 显示图像
$image->show();

$ pecl install dlib
$ pecl install opencv

extension=dlib.so
extension=opencv.so