-- coding: utf-8 -- 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)) if im_show: new_img.show() if save_path is not None: 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')这段代码请用Node.js编写一份
时间: 2023-09-08 18:16:47 浏览: 104
H.264_MPEG-4 Part 10 White Paper
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以下是 Node.js 版本的代码实现,使用了 Jimp 库来进行图片处理:
const fs = require('fs');
const Jimp = require('jimp');
async function parseBgCaptcha(img, imShow = false, savePath = null) {
let _img;
if (typeof img === 'string') {
_img = await Jimp.read(img);
} else if (img instanceof Buffer) {
_img = await Jimp.read(img);
} else {
throw new Error(`输入图片类型错误,必须是 <type string> / <type Buffer>: ${typeof img}`);
}
// 图片还原顺序,定值
const _Ge = [
39, 38, 48, 49, 41, 40, 46, 47, 35, 34, 50, 51, 33, 32, 28, 29, 27, 26, 36, 37, 31, 30, 44, 45, 43, 42,
12, 13, 23, 22, 14, 15, 21, 20, 8, 9, 25, 24, 6, 7, 3, 2, 0, 1, 11, 10, 4, 5, 19, 18, 16, 17
];
const wSep = 10;
const hSep = 80;
// 还原后的背景图
const newImg = await new Jimp(260, 160, 0xffffffff);
for (let idx = 0; idx < _Ge.length; idx++) {
const x = (_Ge[idx] % 26) * 12 + 1;
const y = _Ge[idx] > 25 ? hSep : 0;
// 从背景图中裁剪出对应位置的小块
const imgCut = _img.clone().crop(x, y, wSep, hSep);
// 将小块拼接到新图中
const new_x = idx % 26 * 10;
const new_y = idx > 25 ? hSep : 0;
newImg.composite(imgCut, new_x, new_y);
if (imShow) {
imgCut.write(`${idx}.jpg`);
}
}
if (imShow) {
newImg.write('new_bg.jpg');
}
if (savePath) {
await newImg.writeAsync(savePath);
}
return newImg;
}
parseBgCaptcha('./bg.webp', true, './bg.jpg')
.then((img) => {
console.log('successfully parsed background captcha!');
})
.catch((err) => {
console.error(err);
});
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