import io from pathlib import Path from PIL import Image def parse_bg_captcha(img, im_show=False, save_path=None): if isinstance(img, (str, Path)): _img = Image.open(img) elif isinstance(img, bytes): _img = Image.open(io.BytesIO(img)) else: raise ValueError(f'输入图片类型错误, 必须是<type str>/<type Path>/<type bytes>: {type(img)}') # 图片还原顺序, 定值 _Ge = [39, 38, 48, 49, 41, 40, 46, 47, 35, 34, 50, 51, 33, 32, 28, 29, 27, 26, 36, 37, 31, 30, 44, 45, 43, 42, 12, 13, 23, 22, 14, 15, 21, 20, 8, 9, 25, 24, 6, 7, 3, 2, 0, 1, 11, 10, 4, 5, 19, 18, 16, 17] w_sep, h_sep = 10, 80 # 还原后的背景图 new_img = Image.new('RGB', (260, 160)) for idx in range(len(_Ge)): x = _Ge[idx] % 26 * 12 + 1 y = h_sep if _Ge[idx] > 25 else 0 # 从背景图中裁剪出对应位置的小块 img_cut = _img.crop((x, y, x + w_sep, y + h_sep)) print(img_cut) # 将小块拼接到新图中 new_x = idx % 26 * 10 new_y = h_sep if idx > 25 else 0 new_img.paste(img_cut, (new_x, new_y)) save_path = Path(save_path).resolve().str() new_img.save(save_path) return new_img if name == 'main': parse_bg_captcha("bg.webp", im_show=True, save_path='bg.jpg') 请使用node.js翻译一份这段代码

这段代码的功能是对输入的图片进行处理，将其转换为一个新的背景图，并将处理后的图片保存到指定路径。

以下是类似于Python代码的Node.js版本：

const { createCanvas, loadImage } = require('canvas');
const fs = require('fs');

async function parse_bg_captcha(img, im_show=false, save_path=null) {
let image;
if (typeof img === 'string') {
image = await loadImage(img);
} else if (Buffer.isBuffer(img)) {
image = await loadImage(img);
} else {
throw new Error(`输入图片类型错误, 必须是<type str>/<type Buffer>: ${typeof img}`);
}

// 图片还原顺序, 定值
const _Ge = [39, 38, 48, 49, 41, 40, 46, 47, 35, 34, 50, 51, 33, 32, 28, 29, 27, 26, 36, 37, 31, 30, 44, 45, 43, 42, 12, 13, 23, 22, 14, 15, 21, 20, 8, 9, 25, 24, 6, 7, 3, 2, 0, 1, 11, 10, 4, 5, 19, 18, 16, 17];
const w_sep = 10, h_sep = 80;

// 还原后的背景图
const canvas = createCanvas(260, 160);
const ctx = canvas.getContext('2d');

for (let idx = 0; idx < _Ge.length; idx++) {
const x = _Ge[idx] % 26 * 12 + 1;
const y = _Ge[idx] > 25 ? h_sep : 0;

// 从背景图中裁剪出对应位置的小块
const imgData = ctx.getImageData(x, y, w_sep, h_sep);
const canvas2 = createCanvas(w_sep, h_sep);
const ctx2 = canvas2.getContext('2d');
ctx2.putImageData(imgData, 0, 0);

// 将小块拼接到新图中
const new_x = idx % 26 * 10;
const new_y = idx > 25 ? h_sep : 0;
ctx.drawImage(canvas2, new_x, new_y);
}

// 保存处理后的图片
if (save_path) {
const out = fs.createWriteStream(save_path);
const stream = canvas.createPNGStream();
stream.pipe(out);
out.on('finish', () => console.log(`The file ${save_path} was saved!`));
}

return canvas;
}

// 使用
parse_bg_captcha('./bg.webp', true, './bg.png');

请注意，这里使用了Node.js中的Canvas API来处理图像，所以代码会有所不同。