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.vscode/settings.json

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+{
+    "nuxt.isNuxtApp": false
+}

LICENSE

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README.md

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----
-title: GT
-emoji: 💻
-colorFrom: blue
-colorTo: pink
-sdk: docker
-pinned: false
----
-开源项目 https://gitee.com/QQ1146638442/GT-Manual
+# nsfwjs-img-check
+
+#### 介绍
+一款基于nsfwjs实现的node版本的图片鉴黄服务
+
+在线体验案例：
+[图片鉴黄服务](https://luckycola.com.cn/public/dist/#/checkImg)
+
+#### 版本说明
+node 版本：v16.11.1
+
+
+#### 安装教程
+
+1. 下载该程序库
+2.  执行下面命令，下载依赖
+   ```js
+    yarn
+   ```
+3. 执行下面命令，启动服务
+ ```js
+    yarn start
+   ```
+
+#### 使用说明
+
+1.  服务启动成功后，控制台会输出以下提示
+   ```js
+    图片鉴黄服务器启动成功！port：3006
+   ```
+2.  服务启动成功后，就可以通过api使用服务啦
+
+
+```
+请求方式: POST
+http://localhost:3006/checkImg
+
+```
+
+**api参数说明：**
+| 序号 | 参数 | 是否必须|说明 |
+|--|--|--|--|
+| 1 |file  |是 | 需要鉴别的图片资源(png、jpg、jpeg、png格式),注意:该接口请求参数是**multipart/form-data**格式|
+
+
+
+#### 在线官网
+[http(s): //luckycola.com.cn](http://luckycola.com.cn)
+
+![输入图片说明](%E6%88%AA%E5%B1%8F2023-10-11%20%E4%B8%8A%E5%8D%8811.14.47.png)

app.js

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+// 导入experss模块
+const express=require("express");
+let fs = require('fs');
+// 创建服务器对象
+let app = express();
+// 导入body-parser插件
+const bodyparser = require("body-parser");;
+ // 配置body-parser模块
+ app.use(bodyparser.urlencoded({extended:false}));
+ app.use(bodyparser.json());
+// 导入系统模块path
+const path = require("path");
+const afs = require('fs-extra');
+
+let multiparty = require('multiparty');
+let imgJS = require("image-js");
+const nsfw = require('nsfwjs');
+const tf = require('@tensorflow/tfjs-node');
+const safeContent = ['Drawing', 'Neutral']; // 设置图片内容安全的类型
+
+// https://github.com/alex000kim/nsfw_data_scraper
+
+let imgTypeoObj = {
+    Drawing: '艺术性的',
+    Neutral: '中性的',
+    Sexy: '性感的',
+    Porn: '色情的',
+    Hentai: '变态的',
+};
+
+//转换图片格式
+const convert = async file => {
+  const image = await imgJS.Image.load(file.path);
+  const numChannels = 3;
+  const numPixels = image.width * image.height;
+  const values = new Int32Array(numPixels * numChannels);
+
+  for (let i = 0; i < numPixels; i++) {
+    for (let c = 0; c < numChannels; ++c) {
+      values[i * numChannels + c] = image.data[i * 4 + c];
+    }
+  }
+
+  return tf.tensor3d(values, [image.height, image.width, numChannels], 'int32');
+};
+
+// 初始化模型
+let model;
+(async function() {
+    model = await nsfw.load('file://./web_model/', {
+        type: 'graph'
+    });
+})();
+
+
+const isSafeContent = predictions => {
+  let safeProbability = 0;
+  let imgTypeValArr = [];
+  for (let index = 0; index < predictions.length; index++) {
+    const item = predictions[index];
+    const className = item.className;
+    const probability = item.probability;
+    if (safeContent.includes(className)) {
+      safeProbability += probability;
+    };
+  }
+  imgTypeValArr = predictions.sort((a, b) => b.probability - a.probability);
+//   console.log('imgTypeValArr:', imgTypeValArr);
+  let myimgType = '';
+  if (imgTypeValArr.length && imgTypeValArr[0]) {
+    myimgType = imgTypeoObj[imgTypeValArr[0].className];
+  }
+  return {
+    isSafe: safeProbability > 0.5,
+    imgType: myimgType
+  };
+};
+
+app.post('/checkImg',async (req, res) => {
+	try {
+        // 删除指定文件夹下面的所有文件或文件夹
+        try {
+          await afs.emptyDirSync('./tempImgs');
+          console.log('清空tempImgs成功');
+        } catch (error) {
+          console.log('清空tempImgs失败');
+        }
+        let form = new multiparty.Form();
+        // 设置文件存储路径，以当前编辑的文件为相对路径
+        form.uploadDir = './tempImgs';
+        form.parse(req, async (err, fields, files) => {
+            if (!files || !files.file[0]) {
+                return res.send({
+                    code: -1,
+                    msg: '请上传file图片资源(form-data格式)',
+                    data: {}
+                })
+            }
+            // console.log('files.file[0]:', files.file[0]);
+            // 图片最大尺寸
+            if (files.file[0].size > 1024 * 1024 * 3) {
+                return res.send({
+                    code: -2,
+                    msg: '被检测图片最大3M',
+                    data: {}
+                })
+            };
+            // 支持的图片类型
+            let imgReg = /\S+\.(png|jpeg|jpg)$/g;
+            let originImgName = files.file[0].originalFilename || files.file[0].path;
+            if (!imgReg.test(originImgName)) {
+                return res.send({
+                    code: -3,
+                    msg: '仅仅支持（png、jpeg、jpg）类型图片检测',
+                    data: {}
+                })
+            }
+            let img = await convert(files.file[0]);
+            let predictions = await model.classify(img);
+            const {isSafe, imgType} = isSafeContent(predictions);
+            // console.log('是否安全：', predictions, isSafe);
+            res.send({
+                code: 0,
+                msg: isSafe ? '图片合规' : '图片可能存在不合规的风险,请核查',
+                data: {
+                    isSafe,
+                    imgType,
+                    predictions,
+                }
+            })
+        });
+	} catch (error) {
+        res.send({
+            code: -9,
+            msg: '图片核查失败，请重试',
+            data: {}
+        })
+	}
+});
+
+// {
+// 	"code": 0,
+// 	"msg": "图片合规",
+// 	"data": {
+// 		"isSafe": true,
+// 		"imgType": "艺术性的",
+// 		"predictions": [
+// 			{
+// 				"className": "Drawing",
+// 				"probability": 0.9533441662788391
+// 			},
+// 			{
+// 				"className": "Neutral",
+// 				"probability": 0.015517046675086021
+// 			},
+// 			{
+// 				"className": "Sexy",
+// 				"probability": 0.013940851204097271
+// 			},
+// 			{
+// 				"className": "Porn",
+// 				"probability": 0.012532410211861134
+// 			},
+// 			{
+// 				"className": "Hentai",
+// 				"probability": 0.004665587563067675
+// 			}
+// 		]
+// 	}
+// }
+
+// 监听端口
+app.listen(3006,()=>{
+	console.log("图片鉴黄服务器启动成功！port：3006");
+});

package.json

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+{
+  "name": "checkimg",
+  "version": "1.0.0",
+  "description": "",
+  "main": "app.js",
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1",
+    "start": "node app.js"
+  },
+  "keywords": [],
+  "author": "",
+  "license": "ISC",
+  "dependencies": {
+    "@tensorflow/tfjs-node": "^4.10.0",
+    "express": "^4.18.2",
+    "fs-extra": "^11.1.1",
+    "image-js": "^0.35.4",
+    "multiparty": "^4.2.3",
+    "nsfwjs": "^2.4.2"
+  }
+}

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