DeepCreamPy/README.md

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# DeepCreamPy
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*Decensoring Hentai with Deep Neural Networks. Formerly named DeepMindBreak.*
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This project applies an implementation of [Image Inpainting for Irregular Holes Using Partial Convolutions](https://arxiv.org/abs/1804.07723) to the problem of hentai decensorship. Using a deep fully convolutional neural network, DeepCreamPy can replace censored artwork in hentai with plausible reconstructions. The user needs to only specify the censored regions.
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![Censored, decensored](/readme_images/mermaid_collage.png)
# What's New?
- Decensoring images of ANY size
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- Decensoring censors of ANY shape (e.g. bunch of black lines, pink hearts, etc.)
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- Higher quality decensors
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- Support for mosaic decensors
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- User interface (still a WIP and not very usable)
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# Installation
## Download Prebuilt Binaries
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You can download the latest release [here](https://github.com/deeppomf/DeepCreamPy/releases/latest) or find all previous releases [here](https://github.com/deeppomf/DeepCreamPy/releases).
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Binary only available for Windows 64-bit.
## Run Code Yourself
If you want to run the code yourself, you can clone this repo and download the model from https://drive.google.com/open?id=1byrmn6wp0r27lSXcT9MC4j-RQ2R04P1Z. Unzip the file into the /models/ folder.
### Dependencies (for running the code yourself)
- Python 3
- TensorFlow 1.10
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- Keras 2.2.4
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- Pillow
- h5py
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No GPU required! Tested on Ubuntu 16.04 and Windows. (Tensorflow on Windows is compatible with Python 3 and not Python 2.)
Tensorflow, Pillow, and h5py can all be installed by running in the command line
```
$ pip install -r requirements.txt
```
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# Limitations
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The decensorship is intended to work on color hentai images that have minor to moderate censorship of the penis or vagina.
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It does NOT work with:
- Black and white images
- Monochrome images
- Hentai containing screentones (e.g. printed hentai)
- Real life porn
- Censorship of nipples
- Censorship of anus
- Animated gifs/videos
In particular, if a vagina or penis is completely censored out, decensoring will be ineffective.
# Usage
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## I. Decensoring bar censors
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For each image you want to decensor, using image editing software like Photoshop or GIMP to color the areas you want to decensor the green color (0,255,0), which is a very bright green color.
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*I strongly recommend you use the pencil tool and NOT the brush tool.*
*If you aren't using the pencil tool, BE SURE TO TURN OFF ANTI-ALIASING on the tool you are using.*
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I personally use the wand selection tool with anti-aliasing turned off to select the censored regions. I then expand the selections slightly, pick the color (0,255,0), and use the paint bucket tool on the selection regions.
To expand selections in Photoshop, do Selection > Modify > Expand or Contract.
To expand selections in GIMP, do Select > Grow.
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Save these images in the PNG format to the "decensor_input" folder.
### A. Using the binary
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Decensor the images by double-clicking on the decensor file.
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### B. Running from scratch
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Decensor the images by running
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```
$ python decensor.py
```
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Decensored images will be saved to the "decensor_output" folder. Decensoring takes a few minutes per image.
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## II. Decensoring mosaic censors
As with decensoring bar censors, perform the same steps of coloring the censored regions green and putting the colored image into the "decensor_input" folder.
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In addition, move the original, uncolored images into the "decensor_input_original" folder. Ensure each original image has the same names as their corresponding colored version in the "decensor_input" folder.
For example, if the original image is called "mermaid.jpg," then you want to put this image in the "decensor_input_original" folder and, after you colored the censored regions, name the colored image "mermaid.png" and move it to the "decensor_input" folder.
### A. Using the binary
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Decensor the images by double-clicking on the decensor_mosaic file.
### B. Running from scratch
Decensor the images by running
```
$ python decensor.py --is_mosaic=True
```
Decensored images will be saved to the "decensor_output" folder. Decensoring takes a few minutes per image.
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## III. Decensoring with the user interface
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To be implemented.
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# Troubleshooting
If your decensor output looks like this:
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![Bad decensor](/readme_images/mermaid_face_censored_bad_decensor.png)
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then the censored regions were not colored correctly.
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*Make sure you have antialiasing off.*
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Here are some examples of bad and good colorings:
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|Image|Zoom|Comment|
|--- | --- | ---|
|![Incomplete coloring](/readme_images/mermaid_face_censored_bad_incomplete.png)|![Incomplete coloring](/readme_images/mermaid_face_censored_bad_incomplete_zoom.png)|Some censored pixels was left uncolored. Expand your selections to fully cover all censored regions.|
|![Bad edges](/readme_images/mermaid_face_censored_bad_edge.png)|![Bad edges](/readme_images/mermaid_face_censored_bad_edge_zoom.png)|Some pixels around the edges of the green regions are not pure green. This will cause the green to bleed into the decensors. Make sure anti-aliasing is off and to use a pencil tool and not a brush tool if possible.|
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|![Perfect coloring!](/readme_images/mermaid_face_censored_good.png)|![Perfect coloring! The censored region is uniformly colored correctly.](/readme_images/mermaid_face_censored_good_zoom.png)|Perfect coloring!|
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# To do
- Finish the user interface
Contributions are welcome! Special thanks to StartleStars for contributing code for mosaic decensorship and SoftArmpit for greatly simplifying decensoring!
# License
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**I will likely change the license to be more permissive in the future, but I make no guarantees.**
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**This work (the code and the model) is under my exclusive copyright. The only right I grant to users is using this work for personal use to decensor hentai. Copying, distribution, and modification is prohibited. Commercial use is prohibited. (Modification of the 6 values of the arguments in config.py is allowed.)**
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Example image by Shurajo & AVALANCHE Game Studio under [CC BY 3.0 License](https://creativecommons.org/licenses/by/3.0/). The example image is modified from the original, which can be found [here](https://opengameart.org/content/mermaid).
Neural network code is modified from MathiasGruber's project [Partial Convolutions for Image Inpainting using Keras](https://github.com/MathiasGruber/PConv-Keras), which is an unofficial implementation of the paper [Image Inpainting for Irregular Holes Using Partial Convolutions](https://arxiv.org/abs/1804.07723).
User interface code is modified from Packt's project [Tkinter GUI Application Development Blueprints - Second Edition](https://github.com/PacktPublishing/Tkinter-GUI-Application-Development-Blueprints-Second-Edition).
```
# Copyright (c) 2018 MathiasGruber, Packt
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
```