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segmentation_models.pytorch
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
★11.7kstars
Python
MIT
Updated: Today
📋 Project at a Glance
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What's this?A open-source Models project, built with Python, focusing on computer-vision and deeplab-v3-plus
Who made it?Maintained by qubvel-org team, 11.7K⭐ on GitHub, #125 out of 3201 in Models
Why does it exist?In the Models space, computer-vision workflows faced efficiency bottlenecks. segmentation_models.pytorch was built by qubvel-org to address these deeplab-v3-plus challenges.
What can it do?Key use cases: deeplabv3, dpt, fpn
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/qubvel-org/segmentation_models.pytorch | 官网 https://smp.readthedocs.io/
🔗 github.com/qubvel-org/segmentation_models.pytorch | 官网 https://smp.readthedocs.io/
Topics
computer-visiondeeplab-v3-plusdeeplabv3dptfpnimage-processingimage-segmentationimagenetmodelspretrained-weightspspnetpytorchsegformersegmentationsegmentation-modelssemantic-segmentationtransformersunetunet-pytorchunetplusplus