(NOT MY SOFTWARE ALL CREDIT GOES TO HypoX64 (Hypo) · GitHub)Not really software for scripts specifically but software for videos. This program basically tries to uncensor videos which a lot of jav and hentai videos have. What was neat about this is that you can apparently teach the program to do a better job. Im no coder so I cant use this feature . I’d figure I’d share this here if anyone wants to maybe use this to uncensor vids on here or even share their training programs they created. This is the original post copy and pasted here: this the the original link for it GitHub - HypoX64/DeepMosaics: Automatically remove the mosaics in images and videos, or add mosaics to them.
English | 中文
You can use it to automatically remove the mosaics in images and videos, or add mosaics to them.
This project is based on “semantic segmentation” and “Image-to-Image Translation”.
Try it at this website!
- Compared with DeepCreamPy
- Style Transfer
An interesting example:Ricardo Milos to cat
You can either run DeepMosaics via a pre-built binary package, or from source.
Try it on web
You can simply try to remove the mosaic on the face at this website.
Pre-built binary package
For Windows, we bulid a GUI version for easy testing.
Download this version, and a pre-trained model via [Google Drive] [百度云,提取码1x0a]
Video tutorial => [youtube] [bilibili]
Requires Windows_x86_64, Windows10 is better.
Different pre-trained models are suitable for different effects.[Introduction to pre-trained models]
Run time depends on computers performance (GPU version has better performance but requires CUDA to be installed).
If output video cannot be played, you can try with potplayer.
GUI version updates slower than source.
Run From Source
- Linux, Mac OS, Windows
- Python 3.6+
- ffmpeg 3.4.6
- Pytorch 1.0+
- CPU or NVIDIA GPU + CUDA CuDNN
This code depends on opencv-python, torchvision available via pip install.
Clone this repo
git clone GitHub - HypoX64/DeepMosaics: Automatically remove the mosaics in images and videos, or add mosaics to them. cd DeepMosaics
Get Pre-Trained Models
You can download pre_trained models and put them into ‘./pretrained_models’.
[Google Drive] [百度云,提取码1x0a]
[Introduction to pre-trained models]
In order to add/remove mosaic, there must be a model file
(Optional) Create a virtual environment
virtualenv mosaic source mosaic/bin/activate
Then install the dependencies
pip install -r requirements.txt
If you can not build
export CFLAGS='-Wno-implicit-function-declaration then try to rebuild.
- Add Mosaic (output media will be saved in ‘./result’)
python deepmosaic.py --media_path ./imgs/ruoruo.jpg --model_path ./pretrained_models/mosaic/add_face.pth --gpu_id 0
- Clean Mosaic (output media will save in ‘./result’)
python deepmosaic.py --media_path ./result/ruoruo_add.jpg --model_path ./pretrained_models/mosaic/clean_face_HD.pth --gpu_id 0
If you see the error
Please check mosaic_position_model_path!, check if there is a model file named
If you want to test other images or videos, please refer to this file.
Training With Your Own Dataset
If you want to train with your own dataset, please refer to training_with_your_own_dataset.md
This code borrows heavily from [pytorch-CycleGAN-and-pix2pix] [Pytorch-UNet] [pix2pixHD] [BiSeNet] [DFDNet] [GFRNet_pytorch_new].