Greasy Fork

PPIL

Pixel Place Image Loader

目前为 2022-04-23 提交的版本。查看 最新版本

此脚本不应直接安装,它是一个供其他脚本使用的外部库。如果您需要使用该库,请在脚本元属性加入:// @require https://update.greasyfork.cloud/scripts/443894/1043302/PPIL.js

// ==UserScript==
// @name         PPIL
// @description  Pixel Place Image Loader
// @version      1.1
// @author       0vC4
// @namespace    https://greasyfork.org/users/670183
// @match        https://pixelplace.io/*
// @icon         https://www.google.com/s2/favicons?sz=64&domain=pixelplace.io
// @license      MIT
// @grant        none
// @run-at       document-start
// ==/UserScript==



const PPIU = (() => {
    if (window.PPIU) return window.PPIU;



    const worker = function(func) {
        const worker = new Worker(URL.createObjectURL(new Blob(["onmessage=async({data})=>self.postMessage(await(" + func.toString() + ")(data))"], { type: "text/javascript" })));
        const root = {};
        const post = data => (worker.postMessage(data), root);
        const then = callback => (worker.onmessage=({data})=>callback(data), root);
        return Object.assign(root, {post, then});
    };



    const PPIU = {};
    PPIU.loadImage = (w, h) => callback => {
        const dropArea = document.createElement('div');
        top.document.body.appendChild(dropArea);
        dropArea.style = "width: calc(100% - 2em);height: calc(100% - 2em);position: fixed;left: 0px;top: 0px;background-color: rgba(0, 0, 0, 0.533);z-index: 9999;display: flex;color: white;font-size: 48pt;justify-content: center;align-items: center;border: 3px white dashed;border-radius: 18px;margin: 1em;";
        dropArea.textContent = "Drop Image";
        dropArea.onclick = e => dropArea.remove();

        ['dragenter','dragover','dragleave','drop'].forEach(eName =>
            dropArea.addEventListener(eName, e => {
                e.preventDefault();
                e.stopPropagation();
            }, false)
        );

        dropArea.addEventListener('drop', e => {

            const reader = new FileReader();
            reader.readAsDataURL(e.dataTransfer.files[0]);
            reader.onload = e => {

                const img = new Image;
                img.src = reader.result;
                img.onload = e => {
                    let {width, height} = img;
                    if (w != null) width = w;
                    if (h != null) height = h;
                    const canvas = document.createElement('canvas');
                    canvas.width = width;
                    canvas.height = height;
                    const ctx = canvas.getContext('2d');
                    ctx.drawImage(img, 0, 0, width, height);
                    const rgba = ctx.getImageData(0, 0, width, height).data;

                    worker(async ({rgba, width, height}) => {
                        const zero = 0xCCCCCC;

                        const palette = new Uint32Array([
                            0xFFFFFF,
                            0xC4C4C4,
                            0x888888,
                            0x555555,
                            0x222222,
                            0x000000,
                            0x006600,
                            0x22B14C,
                            0x02BE01,
                            0x51E119,
                            0x94E044,
                            0xFBFF5B,
                            0xE5D900,
                            0xE6BE0C,
                            0xE59500,
                            0xA06A42,
                            0x99530D,
                            0x633C1F,
                            0x6B0000,
                            0x9F0000,
                            0xE50000,
                            0xFF3904,
                            0xBB4F00,
                            0xFF755F,
                            0xFFC49F,
                            0xFFDFCC,
                            0xFFA7D1,
                            0xCF6EE4,
                            0xEC08EC,
                            0x820080,
                            0x5100FF,
                            0x020763,
                            0x0000EA,
                            0x044BFF,
                            0x6583CF,
                            0x36BAFF,
                            0x0083C7,
                            0x00D3DD,
                            0x45FFC8
                        ]);

                        const exclude = new Uint32Array([
                            0x51E119,
                            0xFF3904,
                            0x5100FF,
                            0x45FFC8
                        ]);

                        const filtered = [...palette.map(p => exclude.includes(p) ? zero : p)].filter(p => p != zero).map(clr => [(clr>>16)&0xFF, (clr>>8)&0xFF, clr&0xFF]);

                        const toPixel = (r2, g2, b2) => palette.indexOf(
                            filtered
                            .map(([r, g, b]) => [
                                (r2 - r)^2 +
                                (g2 - g)^2 +
                                (b2 - b)^2,
                                (r<<16) + (g<<8) + b
                            ])
                            .sort((a,b) => a[0]-b[0])[0][1]
                        );

                        const pixels = new Uint8Array(rgba.length>>2);
                        for (let i = 0; i < rgba.length; i += 4)
                            pixels[i>>2] = toPixel(rgba[i], rgba[i+1], rgba[i+2]);

                        return [pixels, width, height];

                    })
                    .then(callback)
                    .post({rgba,width,height});
                };
            };

            dropArea.remove();
        },false);
    };



    window.PPIU = PPIU;
    return PPIU;
})();
// 0vC4#7152