autojs多分辨率找透明图

"ui";
engines.all().map((ScriptEngine) => {
  if (engines.myEngine().toString() !== ScriptEngine.toString()) {
    ScriptEngine.forceStop();
  }
});
importClass(org.opencv.imgproc.Imgproc);
importClass(org.opencv.core.Mat);
ui.layout(
  <vertical>
    <img id="原图"></img>
    <horizontal>
      <text>阈值: </text>
      <text id="threshold">0</text>
      <seekbar id="seekbar" margin="9" w="*"></seekbar>
    </horizontal>
    <img id="二值化"></img>
  </vertical>
);
let imgPath = "./截图1.png";
imgPath = files.path(imgPath);
let img = images.read(imgPath);
let bitmap = img.getBitmap();
log(bitmap);
ui.原图.setImageBitmap(bitmap);
ui.seekbar.setMax(255);
let thresholdBitmap;
ui.seekbar.setOnSeekBarChangeListener({
  onProgressChanged: function (seekBar, progress, fromUser) {
    if (fromUser) {
      let lastBitmap = thresholdBitmap;
      ui.threshold.setText(String(progress));
      let threshold = parseInt(progress);
      log("二值化之前 img = " + img);
      let thresholdImg = 二值化(img, threshold);
      thresholdBitmap = thresholdImg.getBitmap();
      ui.二值化.setImageBitmap(thresholdBitmap);
      ui.post(function () {
        thresholdImg.recycle();
      });
      if (lastBitmap) {
        log("lastBitmap = ");
        log(lastBitmap);
        lastBitmap.recycle();
      }
    }
  },
});
events.on("exit", function () {
  bitmap.recycle();
  img.recycle();
  thresholdBitmap.recycle();
});
/* ---------------------------自定义函数----------------------------------------------- */
function 二值化(img, threshold) {
  log("threshold = " + threshold);
  let trainImage = img.mat;
  let trainImage_gray = new Mat();
  Imgproc.cvtColor(trainImage, trainImage_gray, Imgproc.COLOR_BGR2GRAY);
  let binary = new Mat();
  // Imgproc.threshold(trainImage_gray, binary, threshold, 255, Imgproc.THRESH_BINARY | Imgproc.THRESH_OTSU);
  Imgproc.threshold(trainImage_gray, binary, threshold, 255, Imgproc.THRESH_BINARY);
  trainImage_gray.release();
  var newImg = com.stardust.autojs.core.image.ImageWrapper.ofMat(binary);
  return newImg;
}

function viewMat(mat) {
  let mat2 = mat.clone();
  Imgproc.cvtColor(mat, mat2, Imgproc.COLOR_BGRA2RGBA);
  let tempFilePath = files.join(files.getSdcardPath(), "脚本", "mat.png");
  Imgcodecs.imwrite(tempFilePath, mat2);
  mat2.release();
  app.viewFile(tempFilePath);
}

/**
 * @description:
 * @param {img} bigImg
 * @param {img} smallImg
 * @param {Array} rect [left, top, right, bottom]
 * @return {Array} [left, top, right, bottom]
 */
function findImageSift(bigImg, smallImg, rect) {...}