Update README.md

README.md

@@ -1,118 +1 @@
-<p align="center">
-    <img src="docs/images/logo-full.png" height="100">
-</p>
-
-<p align="center">
-    <a href="https://www.jsdelivr.com/package/gh/ColonelParrot/jscanify"><img src="https://data.jsdelivr.com/v1/package/gh/ColonelParrot/jscanify/badge"></a>
-    <a href="https://cdnjs.com/libraries/jscanify"><img src="https://img.shields.io/cdnjs/v/jscanify"></a>
-    <a href="https://npmjs.com/package/jscanify"><img src="https://badgen.net/npm/dw/jscanify"></a>
-    <br />
-    <a href="https://github.com/ColonelParrot/puffinsoft/blob/master/LICENSE"><img src="https://img.shields.io/github/license/puffinsoft/jscanify.svg"></a>
-    <a href="https://npmjs.com/package/jscanify"><img src="https://badgen.net/npm/v/jscanify"></a>
-</p>
-
-<p align="center">
-  <a href="https://nodei.co/npm/jscanify/"><img src="https://nodei.co/npm/jscanify.png"></a>
-</p>
-
-<p align="center">
-Open-source pure Javascript implemented mobile document scanner. Powered with <a href="https://docs.opencv.org/3.4/d5/d10/tutorial_js_root.html">opencv.js</a><br/>
-Supports the web, NodeJS, <a href="https://github.com/ColonelParrot/react-scanify-demo">React</a>, and others.
-<br/><br/>
-Available on <a href="https://www.npmjs.com/package/jscanify">npm</a> or via <a href="https://www.jsdelivr.com/package/gh/ColonelParrot/jscanify">cdn</a><br/>
-</p>
-
-**Features**:
-
-- paper detection & highlighting
-- paper scanning with distortion correction
-
-| Image Highlighting                           | Scanned Result                             |
-| -------------------------------------------- | ------------------------------------------ |
-| <img src="docs/images/highlight-paper1.png"> | <img src="docs/images/scanned-paper1.png"> |
-| <img src="docs/images/highlight-paper2.png"> | <img src="docs/images/scanned-paper2.png"> |
-
-## Quickstart
-
-> **Developers Note**: you can now use the [jscanify debugging tool](https://colonelparrot.github.io/jscanify/tester.html) to observe the result (highlighting, extraction) on test images.
-
-### Import
-
-npm:
-
-```js
-$ npm i jscanify
-import jscanify from 'jscanify'
-```
-
-cdn:
-
-```html
-<script src="https://docs.opencv.org/4.7.0/opencv.js" async></script>
-<!-- warning: loading OpenCV can take some time. Load asynchronously -->
-<script src="https://cdn.jsdelivr.net/gh/puffinsoft/jscanify@master/src/jscanify.min.js"></script>
-```
-
-> **Note**: jscanify on NodeJS is slightly different. See [wiki: use on NodeJS](https://github.com/ColonelParrot/jscanify/wiki#use-on-nodejs).
-
-### Highlight Paper in Image
-
-```html
-<img src="/path/to/your/image.png" id="image" />
-```
-
-```js
-const scanner = new jscanify();
-image.onload = function () {
-  const highlightedCanvas = scanner.highlightPaper(image);
-  document.body.appendChild(highlightedCanvas);
-};
-```
-
-### Extract Paper
-
-```js
-const scanner = new jscanify();
-const paperWidth = 500;
-const paperHeight = 1000;
-image.onload = function () {
-  const resultCanvas = scanner.extractPaper(image, paperWidth, paperHeight);
-  document.body.appendChild(resultCanvas);
-};
-```
-
-### Highlighting Paper in User Camera
-
-The following code continuously reads from the user's camera and highlights the paper:
-
-```html
-<video id="video"></video> <canvas id="canvas"></canvas>
-<!-- original video -->
-<canvas id="result"></canvas>
-<!-- highlighted video -->
-```
-
-```js
-const scanner = new jscanify();
-const canvasCtx = canvas.getContext("2d");
-const resultCtx = result.getContext("2d");
-navigator.mediaDevices.getUserMedia({ video: true }).then((stream) => {
-  video.srcObject = stream;
-  video.onloadedmetadata = () => {
-    video.play();
-
-    setInterval(() => {
-      canvasCtx.drawImage(video, 0, 0);
-      const resultCanvas = scanner.highlightPaper(canvas);
-      resultCtx.drawImage(resultCanvas, 0, 0);
-    }, 10);
-  };
-});
-```
-
-To export the paper to a PDF, see [here](https://stackoverflow.com/questions/23681325/convert-canvas-to-pdf)
-
-### Notes
-
-- for optimal paper detection, the paper should be placed on a flat surface with a solid background color
-- we recommend wrapping your code using `jscanify` in a window `load` event listener to ensure OpenCV is loaded
+This is a mirror of [puffinsoft/jscanify](https://github.com/puffinsoft/jscanify). Please direct all issues, stars and forks towards that repository.