OCR文字识别

image.initOcr()

初始化OCR模块，百度PaddleOCR，具体请看相关文档，默认自带了Paddle的训练模型

@param map map参数表
key分别为：

• modelDir: 百度Paddle OCR训练模型目录
• labelFile: 百度Paddle OCR 文字文本路径

@return {bool} 布尔型 成功或者失败

function main() {
  let r = image.initOcr({});
  logd(r)
     var request = image.requestScreenCapture(10000,0);
         if (!request) {
            request = image.requestScreenCapture(10000,0);
         }
         logd("申请截图结果... "+request)

  while(true){
      sleep(1000)
      //let b = image.readBitmap("/sdcard/test.png");
         var b = image.captureScreenBitmap("jpg",0,0,0,0,100);
      if (b) {
          let rs = image.ocrBitmap(b,10000);
          if (rs) {
              logd("rs "+JSON.stringify(rs));
          }
          b.recycle();
      }
  }
}
main();

image.ocrBitmap()

对Bitmap进行OCR
返回的是JSON数据，其中数据类似于与：

[{"label":"奇趣装扮三阶盘化","confidence":0.48334712,"points":[{"x":11,"y":25},{"x":239,"y":10},{"x":241,"y":43},{"x":13,"y":59}]},{"label":"快来加入威房箱物","confidence":0.6789893,"points":[{"x":183,"y":264},{"x":429,"y":249},{"x":432,"y":298},{"x":186,"y":313}]},{"label":"养成","confidence":0.5535166,"points":[{"x":317,"y":305},{"x":463,"y":284},{"x":470,"y":333},{"x":324,"y":354}]}]

• label: 代表是识别的文字
• confidence：代表识别的准确度
• points: 代表坐标，有4个值，分别是：左上方，右上方，右下方，左下方

@param bitmap 图片
@param timeout 超时时间 单位毫秒
@return {JSON} JSON对象

function main() {
  let r = image.initOcr({});
  logd(r)
     var request = image.requestScreenCapture(10000,0);
         if (!request) {
            request = image.requestScreenCapture(10000,0);
         }
         logd("申请截图结果... "+request)

  while(true){
      sleep(1000)
      //let b = image.readBitmap("/sdcard/test.png");
         var b = image.captureScreenBitmap("jpg",0,0,0,0,100);
      if (b) {
          let rs = image.ocrBitmap(b,10000);
          if (rs) {
              logd("rs "+JSON.stringify(rs));
          }
          b.recycle();
      }
  }
}
main();

image.releaseOcr()

释放OCR占用的资源

@return {bool} 成功或者失败

function main() {
  let r = image.initOcr({});
  logd(r)
     var request = image.requestScreenCapture(10000,0);
         if (!request) {
            request = image.requestScreenCapture(10000,0);
         }
         logd("申请截图结果... "+request)

  while(true){
      sleep(1000)
      //let b = image.readBitmap("/sdcard/test.png");
         var b = image.captureScreenBitmap("jpg",0,0,0,0,100);
      if (b) {
          let rs = image.ocrBitmap(b,10000);
          if (rs) {
              logd("rs "+JSON.stringify(rs));
          }
          b.recycle();
      }
  }
  image.releaseOcr();
}
main();