GoGoDuck912/Self-Correction-Human-Parsing

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1251 stars · 267 forks observed · 2026-08-28

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

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

library · maturity maintenance

machine-learning computer-vision image-processing computer-vision deep-learning image-processing python cross-platform human-parsing semantic-segmentation pretrained-models person-segmentation pytorch gpu

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markdown · JSON · MCP: product_card(name="GoGoDuck912/Self-Correction-Human-Parsing")