# GoGoDuck912/Self-Correction-Human-Parsing

An out-of-box human parsing representation extractor.

Repository: https://github.com/GoGoDuck912/Self-Correction-Human-Parsing
Canonical: https://ross.abutalabs.com/products/self-correction-human-parsing
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: deep-learning, computer-vision, semantic-segmentation, human-parsing
Last push: 2024-08-30T23:55:03+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2563, "days_push": 733, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1251, forks 267 (observed 2026-08-28T04:04:08.138488+00:00)

## What it is
A deep learning toolkit for human parsing (semantic segmentation of clothing and body parts in images), with pretrained models on LIP, ATR, and Pascal-Person-Part datasets. It provides out-of-box inference plus training code, with extensions for multi-person and video parsing.

## Use cases
- segment clothing and body parts in photos
- extract human parsing masks from images
- preprocess images for virtual try-on systems
- segment people in videos
- fine-tune a human parsing model on my own dataset

## When to choose
- you need pretrained human body/clothing segmentation without training from scratch
- you want a feature extractor for downstream fashion or try-on applications
- you need single-person, multi-person, or video human parsing

## When to avoid
- you need general-purpose image segmentation beyond people
- you need a maintained production service with an API
- you work outside Python/PyTorch environments

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, computer-vision, image-processing
- domain: computer-vision, deep-learning, image-processing
- platform: python, cross-platform
- tags: human-parsing, semantic-segmentation, pretrained-models, person-segmentation, pytorch, gpu

## Member repositories
- GoGoDuck912/Self-Correction-Human-Parsing (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:08.138488+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 2026-08-30T05:07:36.570023+00:00, confidence not recorded.
  - readme: https://github.com/GoGoDuck912/Self-Correction-Human-Parsing (fetched 2026-08-28T04:04:08.138488+00:00, sha bf906d62f81c)
- Data as of 2026-08-30T08:39:29.467469+00:00.