H5实现移动端拍照、照片数量限制、图片压缩、上传图片功能(代码完整,即写即用)
HTML代码:
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="viewport"
content="width=device-width,initial-scale=1,minimum-scale=1,maximum-scale=1,user-scalable=no" />
<title></title>
<link rel="stylesheet" type="text/css" href="style.css" />
</head>
<body>
<section class="upload-section">
<article class="upload-piclist">
<div class="upload-file">
<input type="file" id="file" accept="image/*" multiple onchange="imgChange()" />
</div>
</article>
</section>
<button id='subBtn'>提交</button>
</body>
</html>
JS代码:
(1)拍照、相册选择
let picmax = 5; //限制上传数量
function imgChange() {
let file = document.getElementById('file').files;
let imglist = document.querySelectorAll('.upload-Picitem');
let piclist = document.getElementsByClassName('upload-piclist')[0];
let filelist = file.length + imglist.length > picmax ? 5 - imglist.length : file.length + imglist.length;
if (file.length + imglist.length >= 5) { // 当图片个数大于等于5时,隐藏上传按钮
let uploadfile = document.getElementsByClassName('upload-file')[0]
uploadfile.style.display = "none"
}
for (let i = 0; i < filelist; i++) {
readerfile(file[i]).then(e => {
// 对生成的base64照片进行压缩
// 第一个参数就是需要压缩的base64
// 第二个是压缩系数 0-1,
// 第三个压缩后的回调 用来获取压缩处理后的 base64
compressImg(e,0.5,buildImgDiv);
})
}
}
(2)照片压缩
function compressImg (base64, multiple,callback) {
// 第一个参数就是需要加密的base64,
// 第二个是压缩系数 0-1,
// 第三个压缩后的回调 用来获取处理后的 base64
if (!base64) {
return
}
// const _this = this
const length = base64.length / 1024
// 压缩方法
let newImage = new Image()
let quality = 0.6 // 压缩系数0-1之间
newImage.src = base64
newImage.setAttribute('crossOrigin', 'Anonymous') // url为外域时需要
let imgWidth,
imgHeight
let w = undefined
newImage.onload = function () {
// 这里面的 this 指向 newImage
// 通过改变图片宽高来实现压缩
w = this.width * multiple
imgWidth = this.width
imgHeight = this.height
let canvas = document.createElement('canvas')
let ctx = canvas.getContext('2d')
if (Math.max(imgWidth, imgHeight) > w) {
if (imgWidth > imgHeight) {
canvas.width = w
// 等比例缩小
canvas.height = w * (imgHeight / imgWidth)
} else {
canvas.height = w
// 等比例缩小
canvas.width = w * (imgWidth / imgHeight)
}
} else {
canvas.width = imgWidth
canvas.height = imgHeight
// quality 设置转换为base64编码后图片的质量,取值范围为0-1 没什么压缩效果
// 还是得通过设置 canvas 的宽高来压缩
quality = 0.6
}
ctx.clearRect(0, 0, canvas.width, canvas.height)
ctx.drawImage(this, 0, 0, canvas.width, canvas.height) // // 这里面的 this 指向 newImage
let smallBase64 = canvas.toDataURL('image/jpeg', quality) // 压缩语句
// 如想确保图片压缩到自己想要的尺寸,如要求在50-150kb之间,请加以下语句,quality初始值根据情况自定
// while (smallBase64.length / 1024 > 150) {
// quality -= 0.01;
// smallBase64 = canvas.toDataURL("image/jpeg", quality);
// }
// 防止最后一次压缩低于最低尺寸,只要quality递减合理,无需考虑
// while (smallBase64.length / 1024 < 50) {
// quality += 0.001;
// smallBase64 = canvas.toDataURL("image/jpeg", quality);
// }
// 必须通过回调函数返回,否则无法及时拿到该值,回调函数异步执行
console.log(`压缩前:${length}KB`)
console.log(`压缩后:${smallBase64.length / 1024} KB`);
callback(smallBase64)
}
}
(3)接收压缩后的base64照片,组装前端
// 压缩完成后的回调函数,接收压缩后的base64
function buildImgDiv(imgBase64){
let piclist = document.getElementsByClassName('upload-piclist')[0];
let html = document.createElement('div');
html.className = 'upload-Picitem';
html.innerHTML = '<img src=' + imgBase64 + ' alt="pic">';
html.innerHTML += '<span class="closeClass"></span>';
piclist.appendChild(html);
// 关闭按钮定义事件
$(".closeClass").unbind('click').bind('click', function(evt) {
evt.stopPropagation();
evt.currentTarget.parentElement.remove()
// 当图片个数小于5时,显示上传按钮
let file2 = document.getElementById('file').files;
let imglist2 = document.querySelectorAll('.upload-Picitem');
console.log(file2.length + imglist2.length)
if (file2.length + imglist2.length <= 5) {
let uploadfile2 = document.getElementsByClassName('upload-file')[0]
uploadfile2.style.display = "inline-block"
}
})
}
(4)其他用到的函数
1)readerfile,返回base64的图片
function readerfile(file) {
return new Promise((resolve, reject) => {
let reader = new FileReader();
reader.addEventListener("load", function() {
resolve(reader.result);
}, false)
if (file) {
reader.readAsDataURL(file)
}
})
}
CSS代码(style.css)
.upload-fh {
background-image: url('data:image/png;base64,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');
background-repeat: no-repeat;
background-size: 100% 100%;
height: 30px;
width: 30px;
}
.upload-hedaer {
height: 55px;
display: grid;
grid-template-columns: repeat(3, 1fr);
padding: 0 10px;
box-sizing: border-box;
align-items: center;
text-align: center;
background: #287cff;
color: #fff;
border-bottom: 1px solid #efefef;
font-size: 19px;
}
.upload-hedaer div:last-child {
text-align: right;
}
.upload-textarea {
width: 100%;
height: 60px;
font-size: 28px;
border: 1px solid #efefee;
max-height: 300px;
}
.upload-article-text {
width: 100%;
padding: 10px;
box-sizing: border-box;
}
.upload-file {
position: relative;
background: url('../../../images/z_add.png') no-repeat 50%/100% 100%;
/* width: 100px; */
height: 120px;
order: 9;
}
.upload-piclist {
padding: 0 10px;
box-sizing: border-box;
display: grid;
grid-template-columns: repeat(3, 120px);
justify-content: space-evenly;
grid-gap: 14px;
}
#file {
width: 100%;
height: 100%;
opacity: 0;
}
.upload-Picitem {
width: 100%;
height: 120px;
position: relative;
}
.upload-Picitem>img {
width: 100%;
height: 100%;
object-fit: cover;
}
.upload-Picitem>.closeClass {
display: inline-block;
width: 32px;
height: 32px;
background-image: url(../../../images/close3.png);
position: absolute;
top: 0px;
right: 0px;
z-index: 99999;
}
.submit {
padding: 15px 0;
background-color: #287cff;
color: #fff;
text-align: center;
margin: 10px;
font-size: 20px;
border-radius: 10px;
}
.upload-sm {
padding: 10px;
box-sizing: border-box;
color: gray;
}
.upload-sm ol>li {
margin-bottom: 10px;
}
原文地址:https://blog.csdn.net/wangchaohpu/article/details/137277566
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