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项目作者： rekaXua

项目描述 ：
Removing Pixelated Mosaic Censorship using ESRGAN and green_mask_project
高级语言： Python
项目地址: git://github.com/rekaXua/demosaic_project.git
创建时间： 2020-04-13T16:50:07Z
项目社区：https://github.com/rekaXua/demosaic_project
开源协议：GNU Affero General Public License v3.0
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demosaic_project

Removing Pixelated Mosaic Censorship using ESRGAN (Enhanced SRGAN) and green_mask_project

ESRGAN model should be downloaded here: Twittman’s 4x_FatalPixels_340000_G.pth, and placed into models folder!

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To have a decent performance you need a CUDA+cudnn(NVIDIA) or ROCm(AMD) compatible GPU with installed drivers! Otherweis use “—cpu” key, but beware it can be VERY slow.

HOW TO USE:
1) Place your images inside decensor_input
2) Run “python demosaic_project_ESRGAN.py” or (“python demosaic_project_ESRGAN.py —cpu” for cpu version)
3) Take your decensored images from decensor_output
4) ???
5) Profit

Don’t forget to install python3 and all the requirements with command “pip3 install -r requirements.txt” in cmd or bash




TODO:

  • GUI
  • Config file
  • Better detection algorithm

Inspiration from DeepCreamPy and hent-AI
Credits to Twittman for making trained model Fatal Pixels.

Sample image by hks(@timbougami)