# openseg-group/openseg.pytorch

The official Pytorch implementation of OCNet, OCRNet, and SegFix.

Repository: https://github.com/openseg-group/openseg.pytorch
Canonical: https://ross.abutalabs.com/products/opensegpytorch
Language: Python
License: MIT
License Family: permissive
Last push: 2024-07-25T10:13:49+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2781, "days_push": 769, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1237, forks 141 (observed 2026-08-28T04:04:05.402960+00:00)

## What it is
Official PyTorch implementations of semantic segmentation models OCNet, OCRNet, and SegFix, achieving state-of-the-art results on benchmarks like Cityscapes, ADE20K, and PASCAL-Context. It provides training and evaluation code with distributed and mixed-precision support for scene parsing research.

## Use cases
- train a semantic segmentation model on cityscapes
- implement OCRNet for scene parsing
- run SegFix boundary refinement on segmentation masks
- reproduce state-of-the-art results on ADE20K
- fine-tune a segmentation model with HRNet backbone
- evaluate segmentation models on PASCAL-Context

## When to choose
- you need reference implementations of OCNet/OCRNet/SegFix for research
- you want to reproduce published segmentation benchmark results
- you need distributed or mixed-precision segmentation training in PyTorch

## When to avoid
- you need a production-ready segmentation pipeline rather than research code
- you want a maintained framework with broad model coverage like MMSegmentation
- you work outside PyTorch or lack GPU resources

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, image-processing, computer-vision
- domain: computer-vision, image-processing, deep-learning, machine-learning
- platform: python, cross-platform
- tags: semantic-segmentation, pytorch, ocrnet, ocnet, segfix, scene-parsing, research-code, hrnet, linux, gpu

## Member repositories
- openseg-group/openseg.pytorch (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:05.402960+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T08:21:53.809700+00:00, confidence not recorded.
  - readme: https://github.com/openseg-group/openseg.pytorch (fetched 2026-08-28T04:04:05.402960+00:00, sha d6708d6d8d12)
- Data as of 2026-08-30T08:39:29.467469+00:00.