sudo apt-get update
sudo apt-get install build-essential cmake
sudo apt-get install libgtk2.0-dev libjpeg-dev libtiff5-dev libjasper-dev libopenexr-dev libavcodec-dev libavformat-dev libswscale-dev libv4l-dev libxvidcore-dev libx264-dev libatlas-base-dev gfortran python2.7-dev python3.6-dev
wget -O opencv.zip https://github.com/opencv/opencv/archive/4.2.0.zip
unzip opencv.zip
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
make -j4
sudo make install
sudo ldconfig
sudo apt-get install php7.4-dev
sudo apt-get install php-pear
sudo pecl install opencv
php.ini
文件中添加OpenCV扩展:extension=opencv.so
sudo service apache2 restart
index.php
)。use \OpenCV\{
CvImage,
CvVideoCapture,
CvWindow,
CvFont,
CvScalar
};
function detectFace($inputImage)
{
// 加载人脸识别器和级联分类器
$faceCascade = new \OpenCV\CascadeClassifier();
$faceCascade->load('/path/to/haarcascade_frontalface_default.xml');
// 加载输入图像
$image = new CvImage();
$image->load($inputImage);
// 将图像转换为灰度图像
$grayImage = $image->clone();
$grayImage->toGray();
// 检测人脸
$faces = $faceCascade->detectMultiScale($grayImage);
// 在图像中绘制人脸矩形框
$rectColor = new CvScalar(0, 255, 0);
foreach ($faces as $face) {
$image->rectangle(
$face->getX(),
$face->getY(),
$face->getX() + $face->getWidth(),
$face->getY() + $face->getHeight(),
$rectColor,
2
);
}
// 在新窗口中显示图像
$window = new CvWindow('Face Detection');
$window->showImage($image);
$window->waitKey();
}
detectFace
函数并传入要检测的图像路径:detectFace('/path/to/input/image.jpg');
function trainModel($trainingDataPath)
{
// 加载训练数据集
$images = [];
$labels = [];
$labelsMap = [];
foreach (glob($trainingDataPath . '/*') as $dir) {
$label = basename($dir);
$labelsMap[] = $label;
foreach (glob($dir . '/*.jpg') as $file) {
$images[] = CvImage::load($file);
$labels[] = count($labelsMap) - 1;
}
}
// 创建人脸识别模型
$model = new \OpenCV\Face\FisherFaceRecognizer();
$model->train($images, $labels);
// 保存模型
$model->save('/path/to/fisher_model.yml');
// 保存标签映射
file_put_contents('/path/to/labels.txt', implode(PHP_EOL, $labelsMap));
}
function recognizeFace($inputImage)
{
// 加载人脸识别模型
$model = new \OpenCV\Face\FisherFaceRecognizer();
$model->load('/path/to/fisher_model.yml');
// 加载标签映射
$labelsMap = file('/path/to/labels.txt', FILE_IGNORE_NEW_LINES);
// 加载输入图像
$image = CvImage::load($inputImage);
$grayImage = $image->clone();
$grayImage->toGray();
// 检测人脸
$faceCascade = new \OpenCV\CascadeClassifier();
$faceCascade->load('/path/to/haarcascade_frontalface_default.xml');
$faces = $faceCascade->detectMultiScale($grayImage);
// 遍历所有检测到的人脸
foreach ($faces as $face) {
// 提取人脸区域
$faceImage = $grayImage->getROI($face->getX(), $face->getY(), $face->getWidth(), $face->getHeight());
// 识别人脸
$predictedLabel = $model->predict($faceImage);
// 在图像中绘制识别结果
$font = new CvFont();
$font->scale(1);
$font->color(new CvScalar(0, 255, 0));
$image->putText(
$labelsMap[$predictedLabel],
new CvPoint($face->getX(), $face->getY() - 10),
$font
);
$image->rectangle(
$face->getX(),
$face->getY(),
$face->getX() + $face->getWidth(),
$face->getY() + $face->getHeight(),
new CvScalar(0, 255, 0),
2
);
}
// 在新窗口中显示图像
$window = new CvWindow('Face Recognition');
$window->showImage($image);
$window->waitKey();
}
recognizeFace
函数并传入要识别的图像路径:recognizeFace('/path/to/input/image.jpg');
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