Tramac/Fast-SCNN-pytorch
A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network
This tool helps researchers and engineers quickly identify and outline distinct objects within images, like roads, buildings, and vehicles in urban scenes. You input a raw image, and it outputs a segmented image where each object type is highlighted with a different color. This is ideal for anyone working with computer vision applications requiring real-time scene understanding.
429 stars. No commits in the last 6 months.
Use this if you need to rapidly process images to distinguish between different categories of visual elements, especially for applications like autonomous driving or robotics.
Not ideal if your primary goal is pixel-perfect accuracy over speed, or if your dataset consists of highly varied or non-urban scenes beyond Cityscapes.
Stars
429
Forks
105
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 09, 2022
Commits (30d)
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