diff --git a/README.md b/README.md
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--- a/README.md
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@@ -4,87 +4,130 @@
# DeepMosaics
+
**English | [中文](./README_CN.md)**
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](http://118.89.27.46:5000/)!
### Examples
+
![image](./imgs/hand.gif)
-origin | auto add mosaic | auto clean mosaic
-:-:|:-:|:-:
-![image](./imgs/example/lena.jpg) | ![image](./imgs/example/lena_add.jpg) | ![image](./imgs/example/lena_clean.jpg)
-![image](./imgs/example/youknow.png) | ![image](./imgs/example/youknow_add.png) | ![image](./imgs/example/youknow_clean.png)
+| origin | auto add mosaic | auto clean mosaic |
+| :----------------------------------: | :--------------------------------------: | :----------------------------------------: |
+| ![image](./imgs/example/lena.jpg) | ![image](./imgs/example/lena_add.jpg) | ![image](./imgs/example/lena_clean.jpg) |
+| ![image](./imgs/example/youknow.png) | ![image](./imgs/example/youknow_add.png) | ![image](./imgs/example/youknow_clean.png) |
-* Compared with [DeepCreamPy](https://github.com/deeppomf/DeepCreamPy)
+- Compared with [DeepCreamPy](https://github.com/deeppomf/DeepCreamPy)
-mosaic image | DeepCreamPy | ours
-:-:|:-:|:-:
-![image](./imgs/example/face_a_mosaic.jpg) | ![image](./imgs/example/a_dcp.png) | ![image](./imgs/example/face_a_clean.jpg)
-![image](./imgs/example/face_b_mosaic.jpg) | ![image](./imgs/example/b_dcp.png) | ![image](./imgs/example/face_b_clean.jpg)
+| mosaic image | DeepCreamPy | ours |
+| :----------------------------------------: | :--------------------------------: | :---------------------------------------: |
+| ![image](./imgs/example/face_a_mosaic.jpg) | ![image](./imgs/example/a_dcp.png) | ![image](./imgs/example/face_a_clean.jpg) |
+| ![image](./imgs/example/face_b_mosaic.jpg) | ![image](./imgs/example/b_dcp.png) | ![image](./imgs/example/face_b_clean.jpg) |
-* Style Transfer
+- Style Transfer
-origin | to Van Gogh | to winter
-:-:|:-:|:-:
-![image](./imgs/example/SZU.jpg) | ![image](./imgs/example/SZU_vangogh.jpg) | ![image](./imgs/example/SZU_summer2winter.jpg)
+| origin | to Van Gogh | to winter |
+| :------------------------------: | :--------------------------------------: | :--------------------------------------------: |
+| ![image](./imgs/example/SZU.jpg) | ![image](./imgs/example/SZU_vangogh.jpg) | ![image](./imgs/example/SZU_summer2winter.jpg) |
An interesting example:[Ricardo Milos to cat](https://www.bilibili.com/video/BV1Q7411W7n6)
## Run DeepMosaics
+
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](http://118.89.27.46:5000/).
+
### 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]](https://drive.google.com/open?id=1LTERcN33McoiztYEwBxMuRjjgxh4DEPs) [[百度云,提取码1x0a]](https://pan.baidu.com/s/10rN3U3zd5TmfGpO_PEShqQ)
+Download this version, and a pre-trained model via [[Google Drive]](https://drive.google.com/open?id=1LTERcN33McoiztYEwBxMuRjjgxh4DEPs) [[百度云,提取码1x0a]](https://pan.baidu.com/s/10rN3U3zd5TmfGpO_PEShqQ)
-* [[Help document]](./docs/exe_help.md)
-* Video tutorial => [[youtube]](https://www.youtube.com/watch?v=1kEmYawJ_vk) [[bilibili]](https://www.bilibili.com/video/BV1QK4y1a7Av)
+- [[Help document]](./docs/exe_help.md)
+- Video tutorial => [[youtube]](https://www.youtube.com/watch?v=1kEmYawJ_vk) [[bilibili]](https://www.bilibili.com/video/BV1QK4y1a7Av)
![image](./imgs/GUI.png)
Attentions:
- - Requires Windows_x86_64, Windows10 is better.
- - Different pre-trained models are suitable for different effects.[[Introduction to pre-trained models]](./docs/pre-trained_models_introduction.md)
- - 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](https://daumpotplayer.com/download/).
- - GUI version updates slower than source.
+- Requires Windows_x86_64, Windows10 is better.
+- Different pre-trained models are suitable for different effects.[[Introduction to pre-trained models]](./docs/pre-trained_models_introduction.md)
+- 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](https://daumpotplayer.com/download/).
+- GUI version updates 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/)
- - CPU or NVIDIA GPU + CUDA CuDNN
+
+- Linux, Mac OS, Windows
+- Python 3.6+
+- [ffmpeg 3.4.6](http://ffmpeg.org/)
+- [Pytorch 1.0+](https://pytorch.org/)
+- 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.git
cd DeepMosaics
```
+
#### Get Pre-Trained Models
+
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)
+[[Google Drive]](https://drive.google.com/open?id=1LTERcN33McoiztYEwBxMuRjjgxh4DEPs) [[百度云,提取码1x0a]](https://pan.baidu.com/s/10rN3U3zd5TmfGpO_PEShqQ)
[[Introduction to pre-trained models]](./docs/pre-trained_models_introduction.md)
+In order to add/remove mosaic, there must be a model file at `./pretrained_models/mosaic/mosaic_position.pth`
+
+#### Install dependencies
+
+(Optional) Create a virtual environment
+
+```bash
+virtualenv mosaic
+source mosaic/bin.activate
+```
+
+Then install the dependencies
+
+```bash
+pip install -r requirements.txt
+```
+
+If you can not build `scikit-image`, running `export CFLAGS='-Wno-implicit-function-declaration` then try to rebuild.
+
#### Simple Example
-* Add Mosaic (output media will save in './result')
+
+- Add Mosaic (output media will save in './result')
+
```bash
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')
+
+- Clean Mosaic (output media will save in './result')
+
```bash
python deepmosaic.py --media_path ./result/ruoruo_add.jpg --model_path ./pretrained_models/mosaic/clean_face_HD.pth --gpu_id 0
```
+
+If seeing the error `Please check mosaic_position_model_path!`, make sure the there is a model file at `./pretrained_models/mosaic/mosaic_position.pth`
+
#### More Parameters
+
If you want to test other images or videos, please refer to this file.
[[options_introduction.md]](./docs/options_introduction.md)
## Training With Your Own Dataset
+
If you want to train with your own dataset, please refer to [training_with_your_own_dataset.md](./docs/training_with_your_own_dataset.md)
## Acknowledgements
+
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) [[BiSeNet]](https://github.com/ooooverflow/BiSeNet) [[DFDNet]](https://github.com/csxmli2016/DFDNet) [[GFRNet_pytorch_new]](https://github.com/sonack/GFRNet_pytorch_new).
diff --git a/requirements.txt b/requirements.txt
index 23c0f2ca769487d22a9f70225922ce45d5b4eadf..a295b233ece48fb0111b47895a22a079e908a6d3 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,5 @@
opencv_python==4.5.1.48
-numpy==1.19.2
+numpy==1.19.3
torchvision==0.8.2
torch==1.7.1
matplotlib==3.3.2