Upload 13 files
Browse files- .vscode/settings.json +3 -0
- LICENSE +201 -0
- README.md +50 -9
- app.js +175 -0
- package.json +21 -0
- web_model/group1-shard1of6.bin +3 -0
- web_model/group1-shard2of6.bin +3 -0
- web_model/group1-shard3of6.bin +3 -0
- web_model/group1-shard4of6.bin +3 -0
- web_model/group1-shard5of6.bin +3 -0
- web_model/group1-shard6of6.bin +3 -0
- web_model/model.json +0 -0
- yarn.lock +0 -0
.vscode/settings.json
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{
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"nuxt.isNuxtApp": false
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}
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LICENSE
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README.md
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# nsfwjs-img-check
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#### 介绍
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一款基于nsfwjs实现的node版本的图片鉴黄服务
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在线体验案例:
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[图片鉴黄服务](https://luckycola.com.cn/public/dist/#/checkImg)
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#### 版本说明
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node 版本:v16.11.1
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#### 安装教程
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1. 下载该程序库
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2. 执行下面命令,下载依赖
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```js
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yarn
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```
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3. 执行下面命令,启动服务
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```js
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yarn start
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```
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#### 使用说明
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1. 服务启动成功后,控制台会输出以下提示
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```js
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图片鉴黄服务器启动成功!port:3006
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```
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2. 服务启动成功后,就可以通过api使用服务啦
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```
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请求方式: POST
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http://localhost:3006/checkImg
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```
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**api参数说明:**
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| 序号 | 参数 | 是否必须|说明 |
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|--|--|--|--|
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| 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|
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#### 在线官网
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[http(s): //luckycola.com.cn](http://luckycola.com.cn)
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![输入图片说明](%E6%88%AA%E5%B1%8F2023-10-11%20%E4%B8%8A%E5%8D%8811.14.47.png)
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app.js
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|
|
|
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|
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|
|
|
1 |
+
// 导入experss模块
|
2 |
+
const express=require("express");
|
3 |
+
let fs = require('fs');
|
4 |
+
// 创建服务器对象
|
5 |
+
let app = express();
|
6 |
+
// 导入body-parser插件
|
7 |
+
const bodyparser = require("body-parser");;
|
8 |
+
// 配置body-parser模块
|
9 |
+
app.use(bodyparser.urlencoded({extended:false}));
|
10 |
+
app.use(bodyparser.json());
|
11 |
+
// 导入系统模块path
|
12 |
+
const path = require("path");
|
13 |
+
const afs = require('fs-extra');
|
14 |
+
|
15 |
+
let multiparty = require('multiparty');
|
16 |
+
let imgJS = require("image-js");
|
17 |
+
const nsfw = require('nsfwjs');
|
18 |
+
const tf = require('@tensorflow/tfjs-node');
|
19 |
+
const safeContent = ['Drawing', 'Neutral']; // 设置图片内容安全的类型
|
20 |
+
|
21 |
+
// https://github.com/alex000kim/nsfw_data_scraper
|
22 |
+
|
23 |
+
let imgTypeoObj = {
|
24 |
+
Drawing: '艺术性的',
|
25 |
+
Neutral: '中性的',
|
26 |
+
Sexy: '性感的',
|
27 |
+
Porn: '色情的',
|
28 |
+
Hentai: '变态的',
|
29 |
+
};
|
30 |
+
|
31 |
+
//转换图片格式
|
32 |
+
const convert = async file => {
|
33 |
+
const image = await imgJS.Image.load(file.path);
|
34 |
+
const numChannels = 3;
|
35 |
+
const numPixels = image.width * image.height;
|
36 |
+
const values = new Int32Array(numPixels * numChannels);
|
37 |
+
|
38 |
+
for (let i = 0; i < numPixels; i++) {
|
39 |
+
for (let c = 0; c < numChannels; ++c) {
|
40 |
+
values[i * numChannels + c] = image.data[i * 4 + c];
|
41 |
+
}
|
42 |
+
}
|
43 |
+
|
44 |
+
return tf.tensor3d(values, [image.height, image.width, numChannels], 'int32');
|
45 |
+
};
|
46 |
+
|
47 |
+
// 初始化模型
|
48 |
+
let model;
|
49 |
+
(async function() {
|
50 |
+
model = await nsfw.load('file://./web_model/', {
|
51 |
+
type: 'graph'
|
52 |
+
});
|
53 |
+
})();
|
54 |
+
|
55 |
+
|
56 |
+
const isSafeContent = predictions => {
|
57 |
+
let safeProbability = 0;
|
58 |
+
let imgTypeValArr = [];
|
59 |
+
for (let index = 0; index < predictions.length; index++) {
|
60 |
+
const item = predictions[index];
|
61 |
+
const className = item.className;
|
62 |
+
const probability = item.probability;
|
63 |
+
if (safeContent.includes(className)) {
|
64 |
+
safeProbability += probability;
|
65 |
+
};
|
66 |
+
}
|
67 |
+
imgTypeValArr = predictions.sort((a, b) => b.probability - a.probability);
|
68 |
+
// console.log('imgTypeValArr:', imgTypeValArr);
|
69 |
+
let myimgType = '';
|
70 |
+
if (imgTypeValArr.length && imgTypeValArr[0]) {
|
71 |
+
myimgType = imgTypeoObj[imgTypeValArr[0].className];
|
72 |
+
}
|
73 |
+
return {
|
74 |
+
isSafe: safeProbability > 0.5,
|
75 |
+
imgType: myimgType
|
76 |
+
};
|
77 |
+
};
|
78 |
+
|
79 |
+
app.post('/checkImg',async (req, res) => {
|
80 |
+
try {
|
81 |
+
// 删除指定文件夹下面的所有文件或文件夹
|
82 |
+
try {
|
83 |
+
await afs.emptyDirSync('./tempImgs');
|
84 |
+
console.log('清空tempImgs成功');
|
85 |
+
} catch (error) {
|
86 |
+
console.log('清空tempImgs失败');
|
87 |
+
}
|
88 |
+
let form = new multiparty.Form();
|
89 |
+
// 设置文件存储路径,以当前编辑的文件为相对路径
|
90 |
+
form.uploadDir = './tempImgs';
|
91 |
+
form.parse(req, async (err, fields, files) => {
|
92 |
+
if (!files || !files.file[0]) {
|
93 |
+
return res.send({
|
94 |
+
code: -1,
|
95 |
+
msg: '请上传file图片资源(form-data格式)',
|
96 |
+
data: {}
|
97 |
+
})
|
98 |
+
}
|
99 |
+
// console.log('files.file[0]:', files.file[0]);
|
100 |
+
// 图片最大尺寸
|
101 |
+
if (files.file[0].size > 1024 * 1024 * 3) {
|
102 |
+
return res.send({
|
103 |
+
code: -2,
|
104 |
+
msg: '被检测图片最大3M',
|
105 |
+
data: {}
|
106 |
+
})
|
107 |
+
};
|
108 |
+
// 支持的图片类型
|
109 |
+
let imgReg = /\S+\.(png|jpeg|jpg)$/g;
|
110 |
+
let originImgName = files.file[0].originalFilename || files.file[0].path;
|
111 |
+
if (!imgReg.test(originImgName)) {
|
112 |
+
return res.send({
|
113 |
+
code: -3,
|
114 |
+
msg: '仅仅支持(png、jpeg、jpg)类型图片检测',
|
115 |
+
data: {}
|
116 |
+
})
|
117 |
+
}
|
118 |
+
let img = await convert(files.file[0]);
|
119 |
+
let predictions = await model.classify(img);
|
120 |
+
const {isSafe, imgType} = isSafeContent(predictions);
|
121 |
+
// console.log('是否安全:', predictions, isSafe);
|
122 |
+
res.send({
|
123 |
+
code: 0,
|
124 |
+
msg: isSafe ? '图片合规' : '图片可能存在不合规的风险,请核查',
|
125 |
+
data: {
|
126 |
+
isSafe,
|
127 |
+
imgType,
|
128 |
+
predictions,
|
129 |
+
}
|
130 |
+
})
|
131 |
+
});
|
132 |
+
} catch (error) {
|
133 |
+
res.send({
|
134 |
+
code: -9,
|
135 |
+
msg: '图片核查失败,请重试',
|
136 |
+
data: {}
|
137 |
+
})
|
138 |
+
}
|
139 |
+
});
|
140 |
+
|
141 |
+
// {
|
142 |
+
// "code": 0,
|
143 |
+
// "msg": "图片合规",
|
144 |
+
// "data": {
|
145 |
+
// "isSafe": true,
|
146 |
+
// "imgType": "艺术性的",
|
147 |
+
// "predictions": [
|
148 |
+
// {
|
149 |
+
// "className": "Drawing",
|
150 |
+
// "probability": 0.9533441662788391
|
151 |
+
// },
|
152 |
+
// {
|
153 |
+
// "className": "Neutral",
|
154 |
+
// "probability": 0.015517046675086021
|
155 |
+
// },
|
156 |
+
// {
|
157 |
+
// "className": "Sexy",
|
158 |
+
// "probability": 0.013940851204097271
|
159 |
+
// },
|
160 |
+
// {
|
161 |
+
// "className": "Porn",
|
162 |
+
// "probability": 0.012532410211861134
|
163 |
+
// },
|
164 |
+
// {
|
165 |
+
// "className": "Hentai",
|
166 |
+
// "probability": 0.004665587563067675
|
167 |
+
// }
|
168 |
+
// ]
|
169 |
+
// }
|
170 |
+
// }
|
171 |
+
|
172 |
+
// 监听端口
|
173 |
+
app.listen(3006,()=>{
|
174 |
+
console.log("图片鉴黄服务器启动成功!port:3006");
|
175 |
+
});
|
package.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"name": "checkimg",
|
3 |
+
"version": "1.0.0",
|
4 |
+
"description": "",
|
5 |
+
"main": "app.js",
|
6 |
+
"scripts": {
|
7 |
+
"test": "echo \"Error: no test specified\" && exit 1",
|
8 |
+
"start": "node app.js"
|
9 |
+
},
|
10 |
+
"keywords": [],
|
11 |
+
"author": "",
|
12 |
+
"license": "ISC",
|
13 |
+
"dependencies": {
|
14 |
+
"@tensorflow/tfjs-node": "^4.10.0",
|
15 |
+
"express": "^4.18.2",
|
16 |
+
"fs-extra": "^11.1.1",
|
17 |
+
"image-js": "^0.35.4",
|
18 |
+
"multiparty": "^4.2.3",
|
19 |
+
"nsfwjs": "^2.4.2"
|
20 |
+
}
|
21 |
+
}
|
web_model/group1-shard1of6.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:63a2c542142d09ca7fcf5d1122d75b60dca90784b5edd39088fbe76d2c9c48bb
|
3 |
+
size 4194304
|
web_model/group1-shard2of6.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0b8b67fe8785b775f03132b416f4e7a8cf9f41ddbb89d711a879f7206931f1c2
|
3 |
+
size 4194304
|
web_model/group1-shard3of6.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:907937e7b268f657b2be309bcbb9b87d0fa759d74af5a405701aa90d7345cd47
|
3 |
+
size 4194304
|
web_model/group1-shard4of6.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bb6d6e5032fd93c3a7c22314de0e5fa0ca3e2c1f21d19618e08f78a5080769c5
|
3 |
+
size 4194304
|
web_model/group1-shard5of6.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9729acbe18c5199ed092370161aceddc299d1865295fecda7694d623ee59d0aa
|
3 |
+
size 4194304
|
web_model/group1-shard6of6.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:494c4e36a43ec46a597810b1a9cce380c620bf976270eec87b0b185f85d8d2b3
|
3 |
+
size 3394932
|
web_model/model.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
yarn.lock
ADDED
The diff for this file is too large to render.
See raw diff
|
|