zengxianyu / Fcn
FCN for semantic segmentation
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FCN for semantic segmentation
This is a simple FCN[1] implementation in Pytorch. There are some differences from the original FCN:
- VGG, DenseNet, ResNet features are used
- SegNet and FCN
I haven't test the performance.
requirement
pytorch, tensorboard-pytorch, tensorboard (for visulization)
If you don't need visulization, then delete the lines about visulization in "main.py".
Usage
download code: git clone https://github.com/zengxianyu/FCN.git --recursive
run main_*.py for training and validation
Reference
[1] Long, Jonathan, Evan Shelhamer, and Trevor Darrell. "Fully convolutional networks for semantic segmentation." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015.
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