autojs图片回收时img, bitmap和mat三者的关系

img.bitmap
img.mat

com.stardust.autojs.core.image.ImageWrapper.ofMat(bitmap)

com.stardust.autojs.core.image.ImageWrapper.ofMat(mat)

org.opencv.android.Utils.bitmapToMat(bitmap, mat);

org.opencv.android.Utils.matToBitmap(mat, bitmap);

// 打印图片信息
function printInfo(tag, img, bitmap, mat) {
  let arr = ["\n"];
  arr.push("tag = " + tag);
  try {
    arr.push(java.lang.String.format("%1$-9s: width = %2$s, height = %3$s", "img", img.width, img.height));
  } catch (e) {
    arr.push(java.lang.String.format("%1$-9s: %2$ss", "img", e));
  }
  arr.push(
    java.lang.String.format(
      "%1$-9s: width = %2$s, height = %3$s, allocationByteCount = %4$s",
      "bitmap",
      bitmap.width,
      bitmap.height,
      bitmap.allocationByteCount
    )
  );
  arr.push(java.lang.String.format("%1$-9s: width = %2$s, height = %3$s", "mat", mat.width(), mat.height()));
  log(arr.join("\n"));
}
// 查看img
function viewImg(img) {
  images.save(img, "/sdcard/1.jpg", "jpg", 50);
  app.viewFile("/sdcard/1.jpg");
}
// 查看mat
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);
}

let imgPath = files.path("./牙叔正方形.png");
let img = images.read(imgPath);
let bitmap = img.bitmap;
let mat = img.mat;
printInfo("原始图片信息", img, bitmap, mat);
img.recycle();
printInfo("释放了img后的图片信息", img, bitmap, mat);

tag = 原始图片信息
img      : width = 564.0, height = 564.0
bitmap   : width = 564.0, height = 564.0, allocationByteCount = 1272384.0
mat      : width = 564.0, height = 564.0
11-19 17:56:54.150 Script-56 Main [remote://789216b9dbb2c184ad7efa6ee6d2c830/main.js]/D:

tag = 释放了img后的图片信息
img      : JavaException: java.lang.IllegalStateException: image has been recycleds
bitmap   : width = 564.0, height = 564.0, allocationByteCount = 0.0
mat      : width = 0.0, height = 0.0

let imgPath = files.path("./牙叔正方形.png");
let img = images.read(imgPath);
let bitmap = img.bitmap;
let mat = img.mat;
printInfo("原始图片信息", img, bitmap, mat);
bitmap.recycle();
// mat.release();
printInfo("释放了bitmap后的图片信息", img, bitmap, mat);

tag = 原始图片信息
img      : width = 564.0, height = 564.0
bitmap   : width = 564.0, height = 564.0, allocationByteCount = 1272384.0
mat      : width = 564.0, height = 564.0
11-19 18:00:35.347 Script-58 Main [remote://789216b9dbb2c184ad7efa6ee6d2c830/main.js]/D:

tag = 释放了bitmap后的图片信息
img      : width = 564.0, height = 564.0
bitmap   : width = 564.0, height = 564.0, allocationByteCount = 0.0
mat      : width = 564.0, height = 564.0

images.pixel(img, 100, 200)

Wrapped java.lang.IllegalStateException: Can't call getPixel() on a recycled bitmap

log(img.isRecycled()); // false

mat.release();
log(img.isRecycled()); // false

public synchronized void recycle() {
    Bitmap bitmap = this.mBitmap;
    if (bitmap != null) {
        bitmap.recycle();
    }
    this.mBitmap = null;
    Mat mat = this.mMat;
    if (mat != null) {
        OpenCVHelper.release(mat);
    }
    this.mMat = null;
    Image image = this.mediaImage;
    if (image != null) {
        image.close();
    }
    this.mediaImage = null;
    Debug.INSTANCE.noMemoryLeak(this.id);
    d<b> dVar = this.ref;
    if (dVar != null) {
        dVar.b = 0;
    }
    this.isRecycled = true;
}

let imgPath = files.path("./牙叔正方形.png");
let img = images.read(imgPath);
let bitmap = img.bitmap;
let mat = img.mat;
printInfo("原始图片信息", img, bitmap, mat);
mat.release();
printInfo("释放了mat后的图片信息", img, bitmap, mat);

tag = 原始图片信息
img      : width = 564.0, height = 564.0
bitmap   : width = 564.0, height = 564.0, allocationByteCount = 1272384.0
mat      : width = 564.0, height = 564.0
11-19 18:24:44.707 Script-81 Main [remote://789216b9dbb2c184ad7efa6ee6d2c830/main.js]/D:

tag = 释放了mat后的图片信息
img      : width = 564.0, height = 564.0
bitmap   : width = 564.0, height = 564.0, allocationByteCount = 1272384.0
mat      : width = 0.0, height = 0.0

images.pixel(img, 100, 200); // -16777212

目录

• 正文.
• 写画板的步骤
• 第一步: 布局中添加canvas
• 第二步: 编写draw事件
• 第三步: 画图, 也就是画蛇的图片
• 第四步: 涂抹蛇头
• 第五步: 提交给AI处理, 展示处理后的图片
• 第六步: 重置, 撤销, 恢复 怎么做?
• 试试app的画板功能

<canvas id="imageEditCanvas" />

canvasView.on("draw", (canvas) => {})

const { delay } = require("lang");
delay(1).then(() => {
  let canvasWidth = canvasView.getWidth();
  let canvasHeight = canvasView.getHeight();
  canvasView.on("draw", (canvas) => {})
})

let intent = new Intent();
intent.setType("image/*");
intent.setAction(Intent.ACTION_GET_CONTENT);
context.startActivityForResult(Intent.createChooser(intent, "选择图片"), requestCode);

canvas.drawBitmap(maskBitmap512, matrix, null);

canvas.drawPath(path, paint);

res = await axios.post(url, form, {
  headers: {
    "Content-Type": "multipart/form-data",
    Authorization: key,
  },
});

<img id='content' w='*' h='*' scaleType='fitCenter'></img>
this.content.attr("src", url);