wkentaro / Pytorch Fcn
Licence: mit
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Stars: ✭ 1,351
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pytorch-fcn
PyTorch implementation of Fully Convolutional Networks.
Requirements
Installation
git clone https://github.com/wkentaro/pytorch-fcn.git
cd pytorch-fcn
pip install .
# or
pip install torchfcn
Training
See VOC example.
Accuracy
At 10fdec9.
| Model | Implementation | epoch | iteration | Mean IU | Pretrained Model |
|---|---|---|---|---|---|
| FCN32s | Original | - | - | 63.63 | Download |
| FCN32s | Ours | 11 | 96000 | 62.84 | |
| FCN16s | Original | - | - | 65.01 | Download |
| FCN16s | Ours | 11 | 96000 | 64.91 | |
| FCN8s | Original | - | - | 65.51 | Download |
| FCN8s | Ours | 7 | 60000 | 65.49 | |
| FCN8sAtOnce | Original | - | - | 65.40 | Download |
| FCN8sAtOnce | Ours | 11 | 96000 | 64.74 |
Visualization of validation result of FCN8s.
Cite This Project
If you use this project in your research or wish to refer to the baseline results published in the README, please use the following BibTeX entry.
@misc{pytorch-fcn2017,
author = {Ketaro Wada},
title = {{pytorch-fcn: PyTorch Implementation of Fully Convolutional Networks}},
howpublished = {\url{https://github.com/wkentaro/pytorch-fcn}},
year = {2017}
}
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