opencv wasm 试用

{

  "name": "opencv-wasm",

  "version": "1.0.0",

  "main": "index.js",

  "license": "MIT",

  "dependencies": {

    "@dalongrong/opencv-wasm": "^4.8.1-1",

    "jimp": "^0.22.10"

  }

}

const Jimp = require('jimp');

const { cv, cvTranslateError } = require('@dalongrong/opencv-wasm'); // replace with require('opencv-wasm') in prod

(async () => {

    try {

        const imageSource = await Jimp.read(__dirname + '/image-sample-2.png');

        const imageTemplate = await Jimp.read(__dirname + '/image-sample-2-template.png');

        let src = cv.matFromImageData(imageSource.bitmap);

        let templ = cv.matFromImageData(imageTemplate.bitmap);

        let processedImage = new cv.Mat();

        let mask = new cv.Mat();

        cv.matchTemplate(src, templ, processedImage, cv.TM_CCOEFF_NORMED, mask);

        cv.threshold(processedImage, processedImage, 0.999, 1, cv.THRESH_BINARY);

        processedImage.convertTo(processedImage, cv.CV_8UC1);

        let contours = new cv.MatVector();

        let hierarchy = new cv.Mat();

        cv.findContours(processedImage, contours, hierarchy, cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE);

        for (let i = 0; i < contours.size(); ++i) {

            let countour = contours.get(i).data32S; // Contains the points

            let x = countour[0];

            let y = countour[1];

            let color = new cv.Scalar(0, 255, 0, 255);

            let pointA = new cv.Point(x, y);

            let pointB = new cv.Point(x + templ.cols, y + templ.rows);

            cv.rectangle(src, pointA, pointB, color, 2, cv.LINE_8, 0);

        }

        new Jimp({

            width: src.cols,

            height: src.rows,

            data: Buffer.from(src.data)

        })

            .write(__dirname + '/template-matching.png');

    } catch (err) {

        console.log(cvTranslateError(cv, err));

    }

})();