前端二维码图片解析图片识别/网络图片解析成链接/图片网络链接转本地链接(Js/Vue/Jquery)
注:需要用到canvas/jsqr/jquery!
1、远程图片链接本地化
页面:
<!-- 识别二维码用的 canvas-->
<canvas class="canvas" ref="canvas" style="display: none"></canvas>
1.创建图片
get2: function (src) {let _this = this;return new Promise((resolve, reject) => {let image = new Image(), resultBlob = '';image.setAttribute('crossOrigin', 'anonymous');image.src = src;image.onload = () => {let random = Math.random();// 调用方法获取blob格式,方法写在下边resultBlob = _this.get3(image,random+".jpg");resolve(resultBlob)};image.onerror = () => {reject()}})
},
2. 绘画图片
get3(image, fileName) {let canvas = document.createElement("canvas");let ctx = canvas.getContext("2d");let initSize = image.src.lengthlet { width } = image, { height } = image;//等比缩放第二种 宽或高超过1280,等比缩放let rate = 1920 / width > 1;let tate = 1920 / height > 1;if(!rate){let product = 1920 / width;width = Math.floor((width * product)*100)/100;height = Math.floor((height * product)*100)/100;}else if(!tate){let product = 1920 / height;width = Math.floor((width * product)*100)/100;height = Math.floor((height * product)*100)/100;}canvas.width = widthcanvas.height = heightctx.fillStyle = 'rgba(255, 255, 255, 0)';//透明色ctx.fillRect(0, 0, width, height)ctx.drawImage(image, 0, 0, width, height)// 进行最小压缩0.1let compressData = canvas.toDataURL('image/jpg', 0.8)// 压缩后调用方法进行base64转Blob,方法写在下边let newFile = this.get4(compressData, fileName);return newFile
},
3.创建文件流
get4(dataurl, filename) {let arr = dataurl.split(",");let mime = arr[0].match(/:(.*?);/)[1];let bstr = atob(arr[1]);let n = bstr.length;let u8arr = new Uint8Array(n);while (n--) {u8arr[n] = bstr.charCodeAt(n);}//转换成file对象return new File([u8arr], filename, { type: mime });
},
4.上传到本地(此步骤根据实际需求选择)
async get1(src){//当需要循环时获取结果使用异步let _this=thislet res2 = await _this.get2(src);let formData = new FormData();let random = Math.random();formData.append("random", random);formData.append("files", res2);//后端接口let res = await _this.$http.postFile("/uploadImgForPc", formData);
},
2、解析二维码(网络图片示例)
1.准备工作
注:根据需要安装,如有本地文件也可引用!
安装canvas :npm install canvas
安装报错:
> canvas@2.11.2 install /Users/.../WORK/work/.../node_modules/canvas > node-pre-gyp install --fallback-to-build --update-binary
解决报错:
npm install canvas@2.11.2 --canvas_binary_host_mirror=https://registry.npmmirror.com/-/binary/canvas
安装jsqr:npm install jsqr
安装jquery:npm install jquery
2.识别二维码(jquery--本地文件上传)
<!DOCTYPE html>
<html lang="en"><head><meta charset="UTF-8"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>图片二维码识别</title><script src="./jquery.min.js"></script><script src="./jsQR.js"></script>
</head>
<body><span lan_id="bc">选择图片</span> <input type="file" id="pictureChange"/><div><h2>识别结果:</h2><ul id="result"></ul></div></body><script type="text/javascript">$("body").append('<canvas id="qrcanvas" style="display:none;"></canvas>')$("#pictureChange").change(function (e) {var file = e.target.files[0];if(window.FileReader) {var fr = new FileReader();fr.readAsDataURL(file);fr.onloadend = function(e) {var base64Data = e.target.result;base64ToqR(base64Data)}}})function base64ToqR(data) {var c = document.getElementById("qrcanvas");var ctx = c.getContext("2d");var img = new Image();img.src = data;img.onload = function() {$("#qrcanvas").attr("width",img.width)$("#qrcanvas").attr("height",img.height)ctx.drawImage(img, 0, 0, img.width, img.height);var imageData = ctx.getImageData(0, 0, img.width, img.height);const code = jsQR(imageData.data, imageData.width, imageData.height, {inversionAttempts: "dontInvert",});if(code){showCode(code.data)}else{alert("识别错误")}};}function showCode(code){$("#result").append("<li>"+code+"</li>")}</script>
</html>
3.识别二维码(vue网络二维码图片识别)
<!-- 识别二维码用的 canvas-->
<canvas class="canvas" ref="canvas" style="display: none"></canvas>
//e 为网络图片路径
async identifyImg(e) {let _this = this;return new Promise(async (resolve, reject) => {function get2(src) {return new Promise((res, rej) => {let image = new Image(),resultBlob = "";image.setAttribute("crossOrigin", "anonymous");image.src = src;image.onload = () => {let random = Math.random();resultBlob = get3(image, random + ".jpg");res(resultBlob);};image.onerror = () => {rej();};});}function get3(image, fileName) {let canvas = _this.$refs.canvas;let ctx = canvas.getContext("2d");let { width } = image,{ height } = image;//等比缩放第二种 宽或高超过1280,等比缩放let rate = 1920 / width > 1;let tate = 1920 / height > 1;if (!rate) {let product = 1920 / width;width = Math.floor(width * product * 100) / 100;height = Math.floor(height * product * 100) / 100;} else if (!tate) {let product = 1920 / height;width = Math.floor(width * product * 100) / 100;height = Math.floor(height * product * 100) / 100;}canvas.width = width;canvas.height = height;ctx.fillStyle = "rgba(255, 255, 255, 0)"; //透明色ctx.fillRect(0, 0, width, height);ctx.drawImage(image, 0, 0, width, height);// 进行最小压缩0.1let compressData = canvas.toDataURL("image/jpg", 0.8);// 压缩后调用方法进行base64转Blob,方法写在下边let newFile = get4(compressData, fileName);return newFile;}function get4(dataurl, filename) {let arr = dataurl.split(",");let mime = arr[0].match(/:(.*?);/)[1];let bstr = atob(arr[1]);let n = bstr.length;let u8arr = new Uint8Array(n);while (n--) {u8arr[n] = bstr.charCodeAt(n);}//转换成file对象return new File([u8arr], filename, { type: mime });}const file = await get2(e);const reader = new FileReader();reader.onload = () => {const img = new Image();img.onload = () => {const canvas = _this.$refs.canvas;const context = canvas.getContext("2d");context.drawImage(img, 0, 0, canvas.width, canvas.height);const imageData = context.getImageData(0,0,canvas.width,canvas.height);const code = jsQR(imageData.data,imageData.width,imageData.height);if (code) {// console.log("识别成功---", code);resolve(code.data);} else {// console.log("无法识别---", code);resolve(false);}};img.src = reader.result;};reader.readAsDataURL(file);});},
参考文章:
1.前端JS识别二维码内容_js 解析二维码-CSDN博客
2.js/vue实现远程图片链接本地化_js远程图片本地化_liuliu2021.12的博客-CSDN博客