![image](https://github.com/HypoX64/DeepMosaics/blob/master/hand.gif) # DeepMosaics You can use it to automatically remove the mosaics in images and videos, or add mosaics to them.
This porject based on semantic segmentation and pix2pix.
## Notes The code do not include the part of training, I will finish it in my free time.
## Prerequisites - Linux, (I didn't try this code on Windows or mac machine) - Python 3.5+ - ffmpeg - Pytroch 0.4, (I will update to 1.0) - CPU or NVIDIA GPU + CUDA CuDNN ## Getting Started ### Clone this repo: ```bash git clone https://github.com/HypoX64/DeepMosaics cd DeepMosaics ``` ### Get pre_trained models and test video You can download pre_trained models and test video and replace the files in the project.
[[Google Drive]](https://drive.google.com/open?id=1PXt3dE9Eez2xUqpemLJutwTCC0tW-D2g) [[百度云,提取码z8vz]](https://pan.baidu.com/s/1Wi8T6PE4ExTjrHVQhv3rJA) ### Dependencies This code depends on numpy, scipy, opencv-python, torchvision, available via pip install. ### AddMosaic ```bash python3 AddMosaic.py ``` ### CleanMosaic copy the AddMosaic video from './result' to './video_or_image' ```bash python3 CleanMosaic.py ``` ### More parameters [[addmosaic_options]](https://github.com/HypoX64/DeepMosaics/blob/master/options/addmosaic_options.py) [[cleanmosaic_options]](https://github.com/HypoX64/DeepMosaics/blob/master/options/cleanmosaic_options.py)
## Acknowledgments This code borrows heavily from [[pytorch-CycleGAN-and-pix2pix]](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix) [[Pytorch-UNet]](https://github.com/milesial/Pytorch-UNet).