您需要先安装一个扩展,例如 篡改猴、Greasemonkey 或 暴力猴,之后才能安装此脚本。
您需要先安装一个扩展,例如 篡改猴 或 暴力猴,之后才能安装此脚本。
您需要先安装一个扩展,例如 篡改猴 或 暴力猴,之后才能安装此脚本。
您需要先安装一个扩展,例如 篡改猴 或 Userscripts ,之后才能安装此脚本。
您需要先安装一款用户脚本管理器扩展,例如 Tampermonkey,才能安装此脚本。
您需要先安装用户脚本管理器扩展后才能安装此脚本。
Greasy Fork is available in English.
Pixel Place Image Uploader
当前为
此脚本不应直接安装。它是供其他脚本使用的外部库,要使用该库请加入元指令 // @require https://update.greasyfork.icu/scripts/443894/1043293/PPIU.js
// ==UserScript== // @name PPIU // @description Pixel Place Image Uploader // @version 1.0 // @author 0vC4 // @namespace http://greasyfork.icu/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.uploadImage = 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 => { const {width, height} = img; const canvas = document.createElement('canvas'); canvas.width = img.width; canvas.height = img.height; const ctx = canvas.getContext('2d'); ctx.drawImage(img, 0, 0); const rgba = ctx.getImageData(0, 0, img.width, img.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