image-cycle-resizer

Cross-platform image decoder(png/jpeg/gif) and encoder(png/jpeg) for Node.js
Node.js轻量级跨平台图像编解码库（自动缩小图片到指定大小）

var ImageCycleResizer = require("image-cycle-resizer");

let ICR = new ImageCycleResizer("in/1.jpg");

ICR.setStep("/2")
    .setLimit(300*1024)
    .save( "out/1.jpg", 100 );

Support 支持情况

if node >= 10.x, please install images@latest

Platform	Architecture	Node Version
Windows	x64	8, 9, 10, 11, 12
OSX	X64	8, 9, 10, 11, 12
Linux*	x64	8, 9, 10, 11, 12

• The 32-bit system is not supported for the time being.

if node <= 9.x, please install [email protected]

Platform	Architecture	Node Version
Windows	x86 & x64	0.9.11, 0.10, 0.12, 1, 2, 3, 4, 5, 6, 8, 10
OSX	X64	0.9.11, 0.10, 0.12, 1, 2, 3, 4, 5, 6, 8, 9, 10
Linux*	x86 & x64	0.9.11, 0.10, 0.12, 1, 2, 3, 4, 5, 6, 8, 10

Features 功能特性

• Lightweight: no need to install any image processing library.
• 轻量级：无需安装任何图像处理库。
• Cross-platform: Released a compiled .node file on windows, just download and start.
• 跨平台：Windows下发布了编译好的.node文件,下载就能用。
• Easy-to-use: Provide jQuery-like chaining API. Simple and reliable!
• 方便用：jQuery风格的API，简单可依赖。

Installation 安装

$ npm install image-cycle-resizer

API 接口

image-cycle-resizer provide jQuery-like Chaining API,You can start the chain like this:
image-cycle-resizer 提供了类似jQuery的链式调用API,您可以这样开始:

constructor([obj[,step=100[, limit=210241024]]])

obj: [Buffer|WrappedImage|filePath]

Load and decode image from obj

从指定文件加载并解码图像

.setStep( step )

Set the reduction step size, which can be a number, "/N"

设置缩小步长，可以为数字，“/N”

.setLimit(limit)

Set the maximum file size

设置最大文件大小

.setQuality( quality )

Set the default generated image quality

设置默认生成图片质量

.getBuff(tpye[, quality])

Get the file buffer

获得文件的buffer

.reduceWidth([step])

Zoom out the picture

缩小图片

.save(output[, quality])

Save the reduced picture

保存缩小后的图片

.start(output[quality])

Get the reduced picture

获得缩小后的图片

属性

image

Picture object

图片对象

limit

最大文件限制

step

Maximum file limit

缩小步长

quality

Default generated image quality

默认生成图片质量

NOTICE

This project is based on node-images and follows the MIT