了解PHP底層開發原理：圖片處理與影像辨識實務方法探究

<?php
// 要缩放的图片路径
$src_image = 'original.jpg';
// 缩放后的图片路径
$dst_image = 'thumbnail.jpg';
// 缩放的宽度
$width = 200;
// 缩放的高度
$height = 200;

// 创建源图片的资源
$src = imagecreatefromjpeg($src_image);
// 创建缩略图的资源
$dst = imagecreatetruecolor($width, $height);

// 缩放图片
imagecopyresampled($dst, $src, 0, 0, 0, 0, $width, $height, imagesx($src), imagesy($src));

// 保存缩略图
imagejpeg($dst, $dst_image);

// 释放资源
imagedestroy($src);
imagedestroy($dst);
?>

<?php
// 要裁剪的图片路径
$src_image = 'original.jpg';
// 裁剪后的图片路径
$dst_image = 'cropped.jpg';
// 裁剪的起点坐标
$x = 100;
$y = 100;
// 裁剪的宽度
$width = 200;
// 裁剪的高度
$height = 200;

// 创建源图片的资源
$src = imagecreatefromjpeg($src_image);
// 创建裁剪后的图片的资源
$dst = imagecreatetruecolor($width, $height);

// 裁剪图片
imagecopy($dst, $src, 0, 0, $x, $y, $width, $height);

// 保存裁剪后的图片
imagejpeg($dst, $dst_image);

// 释放资源
imagedestroy($src);
imagedestroy($dst);
?>

<?php
// 要分类的图片路径
$image = 'sample.jpg';
// 预训练好的模型路径
$model = 'model.pb';

// 加载模型
$tensorflow = new TensorflowTensorflow();
$graph = $tensorflow->createGraph();
$graph->import($model);

// 读取图片
$image_data = file_get_contents($image);
$image_tensor = $graph->tensor(TensorflowTensor::TENSOR_UINT8, [1, imagesx($image_data), imagesy($image_data), 3]);
$image_tensor->load($image_data);

// 输入图片进行分类
$result = $tensorflow->run($graph, ['input' => $image_tensor], ['output']);
$output_tensor = $result['output'];

// 获取分类结果
$categories = ['cat', 'dog', 'car', 'flower'];
$category_index = $output_tensor->argMax();
$category = $categories[$category_index];

// 输出分类结果
echo "This image is classified as: " . $category;

// 释放资源
$graph->delete();
$tensorflow->delete();
?>

<?php
// 要检测的图片路径
$image = 'sample.jpg';
// 预训练好的模型路径
$model = 'model.pb';

// 加载模型
$tensorflow = new TensorflowTensorflow();
$graph = $tensorflow->createGraph();
$graph->import($model);

// 读取图片
$image_data = file_get_contents($image);
$image_tensor = $graph->tensor(TensorflowTensor::TENSOR_UINT8, [1, imagesx($image_data), imagesy($image_data), 3]);
$image_tensor->load($image_data);

// 输入图片进行目标检测
$result = $tensorflow->run($graph, ['image' => $image_tensor], ['detection_boxes', 'detection_scores', 'num_detections']);
$boxes = $result['detection_boxes']->tolist();
$scores = $result['detection_scores']->tolist();
$num_detections = $result['num_detections']->toArray();

// 输出检测结果
for ($i = 0; $i < $num_detections; $i++) {
    if ($scores[$i] > 0.5) {
        echo "Detected object at position: " . implode(', ', $boxes[$i]) . "
";
    }
}

// 释放资源
$graph->delete();
$tensorflow->delete();
?>