npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

@twaves/node-image-concat

v0.0.3

Published

Node multiple images concat

Downloads

9

Readme

Install

$ npm install @twaves/node-image-concat --save

Usage

const ImagesConcat = require("@twaves/node-image-concat");

const base64Image = `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`;

const base64Data = await ImagesConcat([base64Image, base64Image]);

// 将Base64字符串转换为缓冲区
const bitmap = Buffer.from(
  base64Data?.replace("data:image/jpeg;base64,", ""),
  "base64"
);

// 写入文件到指定路径
fs.writeFileSync(path.resolve("/Users", `test.jpg`), bitmap);

API

ImagesConcat(images[, options])

  • images Array of (Base64 Images) - List of images to concat.
  • options Object (optional)
    • direction Boolean - Direction of the merged image. If this value is true, the images will be merged vertically (column). Otherwise, the images will be merged horizontally (row). Default is false.
    • color Number | String (hex) - Default background color represented by RGBA hex value. Default is 0x00000000.
    • align String - Aligning of given images. If the images are not all the same size, images will be sorted to largest image. Possible values are start, center and end. Default is start.
    • offset Number - Offset in pixels between each image. Default is 0.
    • margin (Number | String | Object) - Margin of the result image. If Number or String is passed, it will be considered as standard css shorthand properties (e.g. '40 40 0 10'). An Object entry can have following options:
      • top Number (optional) - Margin on top side of result image. Default is 0.
      • right Number (optional) - Margin on right side of result image. Default is 0.
      • bottom Number (optional) - Margin on bottom side of result image. Default is 0.
      • left Number (optional) - Margin on left side of result image. Default is 0.
    • dWidth Number - Set Image Width. Default is 0.
    • dHeight Number - Set Image Height. Default is 0.

Returns a Promise that resolves to the merged Base64 Image.