![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 ‘Image-to-Image Translation’.
## Notice The code do not include the part of training, I will finish it in my free time.
## Prerequisites - Linux, Mac OS, Windows - Python 3.6+ - [ffmpeg 3.4](http://ffmpeg.org/) - [Pytorch 1.0+](https://pytorch.org/) [(Old version codes)](https://github.com/HypoX64/DeepMosaics/tree/Pytorch0.4) - 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=10nARsiZoZGcaKw40nQu9fJuRp1oeabPs) [[百度云,提取码7thu]](https://pan.baidu.com/s/1IG4bdIiIC9PH9-oEyae5Sg) ### Dependencies This code depends on opencv-python, available via pip install. ### Simple example * Add Mosaic (output video will save in './result') ```bash python3 deepmosaic.py ``` * Clean Mosaic (output video will save in './result') ```bash python3 deepmosaic.py --mode clean --model_path ./pretrained_models/clean_hands_unet_128.pth --media_path ./result/hands_test_AddMosaic.mp4 ``` ### More parameters If you want to test other image or video, please refer to this file. [[options.py]](https://github.com/HypoX64/DeepMosaics/blob/master/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).