![image](./imgs/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’.
Master is not stable. Please use a [stable version](https://github.com/HypoX64/DeepMosaics/tree/stable)
* [中文版](./README_CN.md)
### More example origin | auto add mosaic | auto clean mosaic :-:|:-:|:-: ![image](https://github.com/HypoX64/DeepMosaics_example/blob/master/lena.jpg) | ![image](https://github.com/HypoX64/DeepMosaics_example/blob/master/lena_add.jpg) | ![image](https://github.com/HypoX64/DeepMosaics_example/blob/master/lena_clean.jpg) ![image](https://github.com/HypoX64/DeepMosaics_example/blob/master/youknow.png) | ![image](https://github.com/HypoX64/DeepMosaics_example/blob/master/youknow_add.png) | ![image](https://github.com/HypoX64/DeepMosaics_example/blob/master/youknow_clean.png) * Compared with [DeepCreamPy](https://github.com/deeppomf/DeepCreamPy) mosaic image | DeepCreamPy | ours :-:|:-:|:-: ![image](https://github.com/HypoX64/DeepMosaics_example/blob/master/face_a_mosaic.jpg) | ![image](https://github.com/HypoX64/DeepMosaics_example/blob/master/a_dcp.png) | ![image](https://github.com/HypoX64/DeepMosaics_example/blob/master/face_a_clean.jpg) ![image](https://github.com/HypoX64/DeepMosaics_example/blob/master/face_b_mosaic.jpg) | ![image](https://github.com/HypoX64/DeepMosaics_example/blob/master/b_dcp.png) | ![image](https://github.com/HypoX64/DeepMosaics_example/blob/master/face_b_clean.jpg) ## Run DeepMosaics You can either run DeepMosaics via pre-built binary package or from source.
### Pre-built binary package For windows, we bulid a GUI version for easy test.
Download this version via [[Google Drive]](https://drive.google.com/open?id=1LTERcN33McoiztYEwBxMuRjjgxh4DEPs) [[百度云,提取码1x0a]](https://pan.baidu.com/s/10rN3U3zd5TmfGpO_PEShqQ)
![image](./imgs/GUI.png)
Attentions:
- Require Windows_x86_64, Windows10 is better.
- Different pre-trained models are suitable for different effects.
- Run time depends on computer performance.
- If output video cannot be played, you can try with [potplayer](https://daumpotplayer.com/download/). - GUI version update slower than source. ### Run from source #### Prerequisites - Linux, Mac OS, Windows - Python 3.6+ - [ffmpeg 3.4.6](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
#### Dependencies This code depends on opencv-python, torchvision available via pip install. #### 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 put them into './pretrained_models'.
[[Google Drive]](https://drive.google.com/open?id=1LTERcN33McoiztYEwBxMuRjjgxh4DEPs) [[百度云,提取码1x0a]](https://pan.baidu.com/s/10rN3U3zd5TmfGpO_PEShqQ) #### Simple example * Add Mosaic (output video will save in './result') ```bash python3 deepmosaic.py --media_path ./imgs/ruoruo.jpg --model_path ./pretrained_models/mosaic/add_face.pth --use_gpu -1 ``` * Clean Mosaic (output video will save in './result') ```bash python3 deepmosaic.py --media_path ./result/ruoruo_add.jpg --model_path ./pretrained_models/mosaic/clean_face_HD.pth --use_gpu -1 ``` #### More parameters If you want to test other image or video, please refer to this file. [[options.py]](./cores/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)[[pix2pixHD]](https://github.com/NVIDIA/pix2pixHD).