<h1 align="center"><a href="https://github.com/lsh1994/keras-segmentation" target="_blank" rel='nofollow' onclick='return false;'>keras-segmentation</a></h1>
<p align="center">
Implementation is not original papers. The purpose of this project is to get started with semantic segmentation and master the basic process.
</p>
<font color=red>FCN32/8、SegNet、U-Net [Model published](https://github.com/lsh1994/keras-segmentation/releases). Thank you for your support.</font>
[中文说明](readme_zh.md)
## Environment
Item | Value | Item | Value
:---: | :---: | :---: | :---:
keras | 2.2.4 | OS | win10
tensorflow-gpu | 1.10/1.12 | Python| 3.6.7
## Reference
https://github.com/divamgupta/image-segmentation-keras
https://github.com/ykamikawa/SegNet
Data:
https://drive.google.com/file/d/0B0d9ZiqAgFkiOHR1NTJhWVJMNEU/view?usp=sharing
Data or:
https://github.com/alexgkendall/SegNet-Tutorial/tree/master/CamVid
## Project Strcutre

`python visualizeDataset.py`: Visual samples

`python train.py`: Execution train
`python predict.py`: Execution predict
You can modify the parameter in project switching model or cloning the historical version.
## About
### FCN32
Visualization results:

### FCN8
Visualization results:

### SegNet
### U-Net