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：
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.length
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0.1
let 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=this
let 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.$http.postFile("/uploadImgForPc", formData);
},2、解析二维码（网络图片示例）
1.准备工作
注：根据需要安装，如有本地文件也可引用！
安装canvas ：npm install canvas
安装报错：
> [email protected] install /Users/.../WORK/work/.../node_modules/canvas > node-pre-gyp install --fallback-to-build --update-binary解决报错：
npm install [email protected] --canvas_binary_host_mirror=https://registry.npmmirror.com/-/binary/canvas安装jsqr：npm install jsqr
安装jquery：npm install jquery
2.识别二维码（jquery--本地文件上传)
图片二维码识别
选择图片
识别结果：
3.识别二维码（vue网络二维码图片识别）
//e 为网络图片路径
async identifyImg(e) {
let _this = this;
return new Promise(async (resolve, reject) => {
function get2(src) {
return new Promise((res, rej) => {
let image = new Image(),
resultBlob = "";
image.setAttribute("crossOrigin", "anonymous");
image.src = src;
image.onload = () => {
let random = Math.random();
resultBlob = get3(image, random + ".jpg");
res(resultBlob);
};
image.onerror = () => {
rej();
};
});
}
function get3(image, fileName) {
let canvas = _this.$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0.1
let 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