diff --git a/README.md b/README.md index d19c0ee..476da67 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,6 @@ # 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).

@@ -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