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meijieru/crnn.pytorch

Convolutional recurrent network in pytorch observed · 2026-08-28

github.com/meijieru/crnn.pytorch · Python · MIT (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: 3474
  • days_rel: n/a
  • days_push: 713
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2492 stars · 657 forks observed · 2026-08-28

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

A PyTorch implementation of the Convolutional Recurrent Neural Network (CRNN) for scene text recognition, based on the 2016 paper by Shi et al. It includes a pretrained model for recognizing text in images and scripts for training new models on custom datasets.

Use cases

  • recognize text in scene images
  • run OCR on images containing words
  • train a CRNN text recognition model on my own dataset
  • convert a pretrained CRNN model to PyTorch
  • extract text from photos of signs

When to choose

  • you need a lightweight, well-known scene text recognition model in PyTorch
  • you want to train CRNN from scratch on your own labeled text images
  • you need CTC-based sequence recognition for variable-length text images

When to avoid

  • you need full OCR pipelines with detection plus recognition
  • you want the latest state-of-the-art text recognition accuracy
  • you need actively maintained code with recent PyTorch compatibility guarantees

Facets

library · maturity maintenance

machine-learning deep-learning ocr image-processing computer-vision deep-learning python windows crnn scene-text-recognition pytorch ctc text-recognition pretrained-model natural-language-processing linux macos

1 source

Member repositories

RepositoryRoleHealth v2
meijieru/crnn.pytorchmain32

For agents

markdown · JSON · MCP: product_card(name="meijieru/crnn.pytorch")

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