Keras segmentation
Get started with Semantic Segmentation based on Keras, including FCN32/FCN8/SegNet/U-Net
Implementation is not original papers. The purpose of this project is to get started with semantic segmentation and master the basic process. The project is written primarily in Python, first published in 2018. Key topics include: fcn, keras, segmentation.
<font color=red>FCN32/8、SegNet、U-Net Model published. Thank you for your support.</font>
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
Contributors
Showing top 1 contributor by commit count.
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