https://github.com/uiharukazari2008/mugino-intellidex

Mugino Project Deep Image Tagging System for Sequenzia and IntelliDex
https://github.com/uiharukazari2008/mugino-intellidex

Last synced: 11 days ago
JSON representation

Mugino Project Deep Image Tagging System for Sequenzia and IntelliDex

• Host: GitHub
• URL: https://github.com/uiharukazari2008/mugino-intellidex
• Owner: UiharuKazari2008
• Created: 2023-01-06T00:28:39.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-10-24T06:56:34.000Z (3 months ago)
• Last Synced: 2024-10-24T13:21:47.144Z (3 months ago)
• Language: JavaScript
• Size: 12.9 MB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# [Migrated to BlueSteel](https://yozora.bluesteel.737.jp.net/Sequenzia/Mugino-Intellidex)

# Mugino MIITS Client for Sequenzia IntelliDex+ 




Mugino MIITS Project


Machine Intelligence Deep Image Tagging System (MIITS) Client for Sequenzia and IntelliDex

Simple wrapper for DeepDanbooru to process images from Sequenzia and retrieve tagging data async from normal operations.

## Tagging Process

1. New images are pulled from database

2. Images are downloaded and sent to an input folder

3. MIITS compatible system exports tags from images

4. Tags are parsed and uploaded to database and linked to images

## Important Tagging Warning

Sequenzia tagging is done "on the fly" to reduce the number of unnecessary tags that may never be used and just take up table space. Tag IDs WILL NOT match danbooru IDs! 

## Example Configuration File - config.json

```json

{

  "system_name": "HOSTNAME",

  "sql_host": "",

  "mq_host": "",

  "log_host" : [],

  "sql_database": "kanmi_system",

  "sql_user": "",

  "sql_pass": "",

  "mq_user": "",

  "mq_pass": "",

  "mq_discord_out": "outbox.discord",

  "mq_mugino_in": "inbox.mugino",

  "search": [

    {

	  "class": ["review"],

	  "limit": 4000

    },

    {

	  "class": ["cosplay", "art", "photo"],

	  "limit": 5000

    }

  ],

  "rules": [

	{

		"channels": [

			"863820375723606046"

		]

	},

	{

		"channels": [

			"965828904629710878",

			"964390001104257044",

			"965828904629710878",

			"968624369456775258",

			"863820375723606046",

			"964390001104257044"

		],

		"block": [

			"no_humans",

			"user_interface",

			"phone_screen"

		]

	}

  ],

  "pull_limit": 4000,

  "parallel_downloads": 25,

  "deepbooru_exec": "C:\\Users\\ykaza\\AppData\\Local\\Programs\\Python\\Python37\\Scripts\\deepdanbooru.exe",

  "deepbooru_gpu": true,

  "deepbooru_model_path": "./model/",

  "deepbooru_input_path": "./temp/",

  "deepbooru_output_path": "./results/"

}

```