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PyRetri/PyRetri

Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥 observed · 2026-08-28

github.com/PyRetri/PyRetri · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2325
  • days_rel: n/a
  • days_push: 2046
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1183 stars · 177 forks observed · 2026-08-28

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

PyRetri is a unified deep learning based unsupervised image retrieval toolbox built on PyTorch. It provides a modular pipeline of pre-processing, feature representation, and post-processing methods for researchers and engineers.

Use cases

  • build an image similarity search system with deep features
  • extract global descriptors like R-MAC, GeM, or CroW from images
  • run unsupervised image retrieval experiments on benchmark datasets
  • apply person re-identification feature extraction and re-ranking
  • search optimal retrieval configurations with hyper-parameter tuning
  • implement query expansion or database augmentation for retrieval

Facets

library · maturity maintenance

deep-learning image-processing search-engine computer-vision image-processing deep-learning python image-retrieval pytorch unsupervised-learning person-re-identification toolbox search

1 source

Member repositories

RepositoryRoleHealth v2
PyRetri/PyRetrimain32

For agents

markdown · JSON · MCP: product_card(name="PyRetri/PyRetri")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem