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javascript
//Node版引擎导入方式
import core from 'cheese-node';
//JS版引擎导入方式
const core = require('cheese-js');

识别二维码:public static decodeQRCode(bitmap: Bitmap): string ✅ ​

参数:

  • ⭐Bitmap (bitmap):二维码Bitmap对象

返回值:

  • 🟢Bitmap:识别内容
  • 🔴null

用法示例:

javascript
const images = core.cv.images;
const converters = core.converters;
const base = core.base;
let bit = converters.streamToBitmap(converters.sdToStream(os.ASSETS_DIRECTORY.path+"/test.png"))
console.log(images.decodeQRCode(bit))
base.release(bit)

生成二维码:public static generateQRCode(content: string, width: number, height: number): Bitmap ✅ ​

参数:

  • ⭐string (content):二维码内容
  • ⭐width (width):二维码宽
  • ⭐height (height):二维码高

返回值:

  • 🟢Bitmap:生成的二维码Bitmap对象
  • 🔴null

用法示例:

javascript
const images = core.cv.images;
const converters = core.converters;
const base = core.base;
let bit =images.generateQRCode("我是内容",500,500)
base.release(bit)

绘制Json选框: public static drawJsonBoundingBoxes(bitmap: Bitmap, json: string): Bitmap ✅ ​

参数:

  • ⭐Bitmap (bitmap):目标图像
  • ⭐string (json):框选数据

返回值:

  • 🟢Bitmap:生成的图片Bitmap对象
  • 🔴null

用法示例:

javascript
const images = core.cv.images;
const converters = core.converters;
const base = core.base;
const files = core.files;
let b = converters.streamToBitmap(converters.sdToStream(os.ASSETS_DIRECTORY.path+"/5.jpg"))
files.save(images.drawJsonBoundingBoxes(b,"{"x1":55,"y1":343,"x2":88,"y2":375},{"x1":27,"y1":344,"x2":59,"y2":377}]), "/storage/emulated/0/test1.png") //保存到本地绘制图片
base.release(b)

剪切图片:public static cropBitmap(bitmap: Bitmap, left: number, top: number, right: number, bottom: number): Bitmap ✅ ​

参数:

  • ⭐Bitmap (inputImage):图片
  • ⭐number (left):左
  • ⭐number (top):上
  • ⭐number (right):右
  • ⭐number (bottom):下

返回值:

  • 🟢Bitmap:剪切后的Bitmap对象
  • 🔴null

用法示例:

javascript
const images = core.cv.images;
const recordscreen = core.recordScreen;
if (recordscreen.requestPermission(3)) {
    let bit = recordscreen.captureScreen(3, 0, 0, 0, -1)
    images.cropBitmap(bit, 128,22,352,26)
}

二值化:public static binarize(inputImage: Bitmap, threshold: number): Bitmap ✅ ​

参数:

  • ⭐Bitmap (inputImage):图片
  • ⭐number (threshold):二值化阈值

返回值:

  • 🟢Bitmap:二值化后的对象
  • 🔴null

用法示例:

javascript
const images = core.cv.images;
const recordscreen = core.recordScreen;
if (recordscreen.requestPermission(3)) {
    let bit = recordscreen.captureScreen(3, 0, 0, 0, -1)
    images.binarize(bit, 128)
}

同分辨率-Surf找图: ​

findImgBySift(inputImage: Bitmap, targetImage: Bitmap, distance: number): IntArray ✅

参数:

  • ⭐any (Bitmap):大图
  • ⭐Bitmap (targetImage):小图
  • ⭐number (distance):最大距离(1.0-100.0)

返回值:

  • 🟢Point[]:坐标数组
  • 🔴null

用法示例:

javascript
const images = core.cv.images;
const recordscreen = core.recordScreen;
if (recordscreen.requestPermission(3)) {
    let bit = recordscreen.captureScreen(3, 0, 0, 0, -1)
    let target = converters.streamToBitmap(converters.assetsToStream("1.png"))
    console.log(images.findImgBySift(bit, target, 1.1))
    base.release(bit)
}

同分辨率-模板找图: ​

findImgByTemplate(inputImage: Bitmap, targetImage: Bitmap, threshold: number): IntArray ✅

参数:

  • ⭐any (Bitmap):大图
  • ⭐Bitmap (targetImage):小图
  • ⭐number (threshold):相似度(0.0 ~ 1.0)

返回值:

  • 🟢Point[]:坐标数组
  • 🔴null

用法示例:

javascript
const images = core.cv.images;
const recordscreen = core.recordScreen;
if (recordscreen.requestPermission(3)) {
    let bit = recordscreen.captureScreen(3, 0, 0, 0, -1)
    let target = converters.streamToBitmap(converters.assetsToStream("1.png"))
    console.log(images.findImgByTemplate(bit, target, 1.1))
    base.release(bit)
}

全分辨率-Resize找图: ​

findImgByResize(inputImage: Bitmap, targetImage: Bitmap,threshold: number, width: number, height: number): IntArray : white_check_mark:

参数:

  • ⭐any (Bitmap):大图
  • ⭐Bitmap (targetImage):小图
  • ⭐number (threshold):相似度(0.0-1.0)
  • ⭐number (width):小图制作设备宽
  • ⭐number (height):小图制作设备高

返回值:

  • 🟢IntArray:坐标集合
  • 🔴null

用法示例:

javascript
const base = core.base;
const recordscreen = core.recordScreen;
const converters = core.converters;
const colors = core.cv.images;
if (recordscreen.requestPermission(3)) {
    let target = converters.streamToBitmap(converters.assetsToStream("image.png"))
    let bit = recordscreen.captureScreen(3, 0, 0, 0, -1)
    console.log(images.findImgByResize(bit, target, 0.5, 720, 1280))
    base.release(target)
    base.release(bit)
}