zju3dv/snake

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1185 stars · 228 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official research code for 'Deep Snake for Real-Time Instance Segmentation' (CVPR 2020 oral), implementing a deep contour-based instance segmentation model. It includes pretrained models, evaluation, and visualization scripts for Cityscapes, KINS (Kitti), and SBD datasets.

Use cases

• run real-time instance segmentation on images
• segment object contours with deep snake algorithm
• evaluate instance segmentation on Cityscapes
• test pretrained models on Kitti instances dataset
• visualize segmentation results on street scenes
• reproduce CVPR 2020 paper results

When to choose

• you need contour-based real-time instance segmentation
• you want to reproduce or build on the Deep Snake paper
• you work with Cityscapes or Kitti-style autonomous driving imagery

When to avoid

• you need a production-ready segmentation pipeline with support
• you want a maintained general-purpose segmentation library
• you need a non-research license for commercial use

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision image-processing computer-vision machine-learning deep-learning python instance-segmentation contour-model cvpr-2020 research-code object-detection pytorch linux gpu

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