如何在浏览器中通过opencv.js使用yolov3

<script async src="opencv.js" onload="onOpenCvReady();" type="text/javascript"></script>

let net;
const modelFile = 'yolov3.weights';
const config = 'yolov3.cfg';
const names = 'coco.names';

function loadModel() {
  return new Promise((resolve, reject) => {
    cv.onRuntimeInitialized = () => {
      net = cv.readNetFromDarknet(config, modelFile);
      resolve();
    };
  });
}

function loadNames() {
  return new Promise((resolve, reject) => {
    const xhr = new XMLHttpRequest();
    xhr.open('GET', names, true);
    xhr.onreadystatechange = () => {
      if (xhr.readyState === 4 && xhr.status === 200) {
        const namesData = xhr.responseText;
        resolve(namesData.split('\n'));
      }
    };
    xhr.send();
  });
}

async function initialize() {
  await Promise.all([loadModel(), loadNames()]);
  // 模型和标签加载完成后，可以进行后续操作
  // 例如：调用detect函数进行目标检测
}

function onOpenCvReady() {
  initialize();
}

function detect(imageData) {
  const img = cv.matFromImageData(imageData);
  const blob = cv.blobFromImage(img, 1 / 255, new cv.Size(416, 416), [0, 0, 0], true, false);
  net.setInput(blob);
  const output = net.forward();
  const names = getNames(); // 获取加载的标签
  const threshold = 0.5; // 设定阈值，过滤低置信度的检测结果

  for (let i = 0; i < output.rows; i += 1) {
    const scores = output.row(i).colRange(5, output.cols);
    const confidence = Math.max(...scores.data32F);
    const classId = scores.data32F.indexOf(confidence) - 5;
    if (confidence > threshold) {
      const x = output.at(i, 0) * img.cols;
      const y = output.at(i, 1) * img.rows;
      const width = output.at(i, 2) * img.cols;
      const height = output.at(i, 3) * img.rows;
      const label = names[classId];
      // 在图像上绘制检测结果
      cv.rectangle(img, new cv.Point(x, y), new cv.Point(x + width, y + height), [255, 0, 0, 255], 2);
      cv.putText(img, label, new cv.Point(x, y - 5), cv.FONT_HERSHEY_SIMPLEX, 0.5, [0, 255, 0, 255], 2);
    }
  }

  const canvas = document.getElementById('canvas');
  cv.imshow(canvas, img);
  img.delete();
  blob.delete();
  output.delete();
}