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81 lines
2.3 KiB
81 lines
2.3 KiB
const sizeOf = require('image-size');
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const _ = require('lodash');
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const jimp = require('jimp');
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const progress = require('progress');
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const fs = require('fs');
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let pngList = fs.readdirSync('./respng')
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// 该函数是一个异步函数，用于将指定路径下的PNG图片按照一定规则进行切割，并保存为多个小图。
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// 该函数使用了sizeOf函数来获取图片的大小，使用了jimp库来进行图片的裁剪和保存操作，还使用了lodash库来克隆图片对象。
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async function cutPng() {
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for (let layer = 0; layer < pngList.length; layer++) {
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let urlStr = `./respng/${pngList[layer]}`
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const currentImageInfo = sizeOf(urlStr) // 加载一张图，获取图片的高度和宽度。
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let clientHeight = currentImageInfo.height
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let clientWidth = currentImageInfo.width
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const heights = []
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const widths = []
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const SPLIT_HEIGHT = 256
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// 根据高度和宽度计算出需要切割的行数和列数。
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while (clientHeight > 0) {
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// 切图高度充足时
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if (clientHeight >= SPLIT_HEIGHT) {
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heights.push(SPLIT_HEIGHT)
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clientHeight -= SPLIT_HEIGHT
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} else {
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// 切割高度不够时，直接切成一张
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heights.push(clientHeight)
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clientHeight = 0
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}
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}
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while (clientWidth > 0) {
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// 切图宽度充足时
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if (clientWidth >= SPLIT_HEIGHT) {
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widths.push(SPLIT_HEIGHT)
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clientWidth -= SPLIT_HEIGHT
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} else {
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// 切割宽度不够时，直接切成一张
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widths.push(clientWidth)
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clientWidth = 0
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}
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}
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let counti = 0
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let countiNumber = 0
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let savePngArr = []
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for (let i of widths) {
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let conutj = 0
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let conutjNumber = 0
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for (let j of heights) {
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savePngArr.push({
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z: layer,
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x: counti,
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y: conutj,
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countiNumber,
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conutjNumber,
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width: i,
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height: j,
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})
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conutj++
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conutjNumber += j
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}
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counti++
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countiNumber += i
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}
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let conutBar = savePngArr.length
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let bar = new progress(':bar :current/:total', { total: conutBar });
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let imageAll = await jimp.read(urlStr)
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for (let i = 0; i < conutBar; i++) {
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let imageTemp = _.cloneDeep(imageAll)
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let elei = savePngArr[i];
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let cropTemp = imageTemp.crop(elei.countiNumber, elei.conutjNumber, elei.width, elei.height)
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//保存图片
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cropTemp.write(`./dealpng/${elei.z}/${elei.x}/${elei.y}.png`)
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bar.tick();
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}
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}
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console.log(8774, "切割结束")
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}
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cutPng()
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