pochih/FCN-pytorch
A PyTorch implementation of Fully Convolutional Networks (FCN) for semantic segmentation tasks in automated driving.
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This repository provides the easiest implementation of FCNs for semantic segmentation, based on the CVPR 2015 best paper. It supports training on benchmark datasets including CamVid and Cityscapes. The model converts traditional CNNs into fully convolutional networks to produce spatial output maps for pixel-wise prediction.
Frequently asked
- What is pochih/FCN-pytorch?
- A PyTorch implementation of Fully Convolutional Networks (FCN) for semantic segmentation tasks in automated driving.
- Is FCN-pytorch open source?
- Yes — pochih/FCN-pytorch is an open-source project tracked on heatdrop.
- What language is FCN-pytorch written in?
- pochih/FCN-pytorch is primarily written in Python.
- How popular is FCN-pytorch?
- pochih/FCN-pytorch has 413 stars on GitHub.
- Where can I find FCN-pytorch?
- pochih/FCN-pytorch is on GitHub at https://github.com/pochih/FCN-pytorch.