Tramac/Fast-SCNN-pytorch
A PyTorch implementation of Fast-SCNN, a deep learning network for real-time semantic segmentation of images.
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Implements the Fast-SCNN architecture for semantic segmentation, enabling pixel-level classification of images into semantic categories. The model is designed for fast inference and supports training on datasets like Cityscapes. Includes training, evaluation, and demo scripts for the segmentation task.
Frequently asked
- What is Tramac/Fast-SCNN-pytorch?
- A PyTorch implementation of Fast-SCNN, a deep learning network for real-time semantic segmentation of images.
- Is Fast-SCNN-pytorch open source?
- Yes — Tramac/Fast-SCNN-pytorch is open source, released under the Apache-2.0 license.
- What language is Fast-SCNN-pytorch written in?
- Tramac/Fast-SCNN-pytorch is primarily written in Python.
- How popular is Fast-SCNN-pytorch?
- Tramac/Fast-SCNN-pytorch has 439 stars on GitHub.
- Where can I find Fast-SCNN-pytorch?
- Tramac/Fast-SCNN-pytorch is on GitHub at https://github.com/Tramac/Fast-SCNN-pytorch.