https://github.com/yjg30737/pyqt_nsfw_image_filter_gui

Filter(remove) the NSFW(not safe for work) images in a certain directory recursively, backup every images before it
https://github.com/yjg30737/pyqt_nsfw_image_filter_gui

image-classification keras nsfw nsfw-classifier nsfw-detection nsfw-recognition pyqt pyqt5 pyqt5-gui python3

Last synced: about 6 hours ago
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Filter(remove) the NSFW(not safe for work) images in a certain directory recursively, backup every images before it

• Host: GitHub
• URL: https://github.com/yjg30737/pyqt_nsfw_image_filter_gui
• Owner: yjg30737
• License: mit
• Created: 2023-08-22T07:57:33.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-08-22T08:13:52.000Z (about 1 year ago)
• Last Synced: 2024-01-27T20:04:09.793Z (10 months ago)
• Topics: image-classification, keras, nsfw, nsfw-classifier, nsfw-detection, nsfw-recognition, pyqt, pyqt5, pyqt5-gui, python3
• Language: Python
• Homepage:
• Size: 14.6 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# pyqt_nsfw_image_filter_gui

Yup.

You need two packages

nsfw-detector and PyQt5

This works every images, not only real photo but paintings such as anime too.

Having the background feature as well, for person who want to handle a lot of images with this

## How to Run

1. clone this

2. pip install -r requirements.txt

3. install [Keras 299x299 Image Model](https://s3.amazonaws.com/ir_public/ai/nsfw_models/nsfw.299x299.h5) and put it into src folder

4. python main.py

## Preview

![image](https://github.com/yjg30737/pyqt_nsfw_image_filter_gui/assets/55078043/f19099ec-32fc-49af-8552-2db195801935)

### How to Use

1. Set the directory which contains image files.

2. Press the filter button to remove the NSFW images.

## How this works

This is using [Keras 299x299 Image Model](https://s3.amazonaws.com/ir_public/ai/nsfw_models/nsfw.299x299.h5), and this is influenced by nsfw_model also known as nsfw-detector. This is pretty much GUI version of it.

Personally i categorized nsfw level as three, "nsfw", "semi-nsfw", "safe" based on certain standard.

## Note

You can use this in CUI(Python code) only. Look at the script.py to figure it out how it works.

This really helps me a lot from encountered embarrassing moment from someone who checks my images which stored by crawling 🙂

By the way i'm not sure i can upload the even slightly controversial image to explain how this works so i won't do it.

Please try it !!