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# DeepCreamPy
*Decensoring Hentai with Deep Neural Networks.*
*Update coming in April*
[![GitHub release](https://img.shields.io/github/release/deeppomf/DeepCreamPy.svg)](https://github.com/deeppomf/DeepCreamPy/releases/latest)
[![GitHub downloads](https://img.shields.io/github/downloads/deeppomf/DeepCreamPy/latest/total.svg)](https://github.com/deeppomf/DeepCreamPy/releases/latest)
@ -13,9 +14,9 @@ A deep learning-based tool to automatically replace censored artwork in hentai w
The user colors censored regions green in an image editing program like GIMP or Photoshop. A neural network fills in the censored regions.
DeepCreamPy has a pre-built binary for Windows 64-bit available [here](https://github.com/deeppomf/DeepCreamPy/releases/latest). DeepCreamPy works on Windows, Mac, and Linux.
DeepCreamPy has a pre-built binary for Windows 64-bit available [here](https://github.com/deeppomf/DeepCreamPy/releases/latest). DeepCreamPy's code works on Windows, Mac, and Linux.
Please before you open a new issue check [Closed issue](https://github.com/deeppomf/DeepCreamPy/issues?q=is%3Aissue+is%3Aclosed) and check [Table of contents](https://github.com/deeppomf/DeepCreamPy#table-of-contents).
Please before you open a new issue check [closed issues](https://github.com/deeppomf/DeepCreamPy/issues?q=is%3Aissue+is%3Aclosed) and check the [table of contents](https://github.com/deeppomf/DeepCreamPy#table-of-contents).
<p align="center">
<img src="https://github.com/deeppomf/DeepCreamPy/blob/master/readme_images/mermaid_collage.png" width="800">
@ -26,7 +27,6 @@ Please before you open a new issue check [Closed issue](https://github.com/deepp
- Decensoring of ANY shaped censor (e.g. black lines, pink hearts, etc.)
- Higher quality decensors
- Support for mosaic decensors (WIP)
- User interface (WIP)
## Limitations
The decensorship is for color hentai images that have minor to moderate censorship of the penis or vagina. If a vagina or penis is completely censored out, decensoring will be ineffective.
@ -53,8 +53,11 @@ Miscellaneous:
* [FAQ](docs/FAQ.md)
## To do
- Finish the user interface (estimated ???)
- ~~Update model with better quality data (estimated November)~~
- Switch to Deepfillv2 model
- Enhance data collection and extraction
- Use new training techniques
- Resolve all Tensorflow compatibility problems
- Finish the user interface
- Add support for black and white images
- Add error log